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https://api.github.com/repos/pandas-dev/pandas/issues/22012 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22012/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22012/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22012/events | https://github.com/pandas-dev/pandas/issues/22012 | 343,341,304 | MDU6SXNzdWUzNDMzNDEzMDQ= | 22,012 | BUG: pd.DataFrame.equals return False for same values if different numpy type | {
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```python
import pandas as pd
import numpy as np
df_int32 = pd.DataFrame([0, 1], dtype=np.int32)
df_int64 = pd.DataFrame([0, 1], dtype=np.int64)
df_int32.equals(df_int64) # False
```
#### Problem description
The docstring of `pd.DataFrame.equals` expla... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22013 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22013/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22013/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22013/events | https://github.com/pandas-dev/pandas/pull/22013 | 343,348,221 | MDExOlB1bGxSZXF1ZXN0MjAzMDIyNjgy | 22,013 | [CLN] [BLD] Fix many compiler warnings | {
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"followers_url": "https://api.github... | 4 | 2018-07-21T19:00:32Z | 2018-07-24T00:19:38Z | 2018-07-24T00:11:21Z | MEMBER | null | Checked in OSX in 2.7 and 3.7, on Ubuntu on 2.7 and 3.5, this fixes just about all the warnings that are fixable at my pay-grade.
The ones that are left:
- Ubiquitous `NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION` --> I expect there is a compiler flag that can be set in setup.py to silence this (and only this) warni... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22014 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22014/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22014/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22014/events | https://github.com/pandas-dev/pandas/pull/22014 | 343,348,409 | MDExOlB1bGxSZXF1ZXN0MjAzMDIyNzkw | 22,014 | [REF] separate blocks.py out of internals.__init__ | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22015 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22015/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22015/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22015/events | https://github.com/pandas-dev/pandas/pull/22015 | 343,354,030 | MDExOlB1bGxSZXF1ZXN0MjAzMDI1OTgz | 22,015 | ENH: Number formatting support for excel styles | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Add number formatting support to the excel styles using a fake css entry.
```css
number-format: 0%;
```
Added new tests, updated docs, and manually verified outputs us... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22016 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22016/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22016/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22016/events | https://github.com/pandas-dev/pandas/pull/22016 | 343,355,486 | MDExOlB1bGxSZXF1ZXN0MjAzMDI2ODEz | 22,016 | REF: move range-generation functions to EA mixin classes | {
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"followers_url": "https://api.github... | 12 | 2018-07-21T21:00:40Z | 2018-07-26T21:13:14Z | 2018-07-26T12:49:40Z | MEMBER | null | With the DatetimeArray range-generating functions moved, we are finally able to move `shift`, and in turn `__add__`, `__sub__`, etc.
Two non-trivial changes made during the move process, see inline comments.
Upcoming commits will add docstrings and port tests. ATM many tests are a PITA bc the Array contructors... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22017 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22017/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22017/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22017/events | https://github.com/pandas-dev/pandas/issues/22017 | 343,418,856 | MDU6SXNzdWUzNDM0MTg4NTY= | 22,017 | Timestamp comparison inconsistency | {
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... | closed | false | null | [] | null | 1 | 2018-07-22T16:17:56Z | 2018-08-31T02:53:46Z | 2018-08-31T02:53:46Z | MEMBER | null | Trying to make align the behavior of DataFrame/Series ops, a sticking point turns out to be Timestamp comparisons:
```
ts = pd.Timestamp.now()
df = pd.DataFrame({'A': [1.0, 2.0],
'B': [1, 2],
'C': ['foo', 'bar']})
>>> df < ts
A B C
0 True True True
1 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22018 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22018/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22018/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22018/events | https://github.com/pandas-dev/pandas/issues/22018 | 343,420,843 | MDU6SXNzdWUzNDM0MjA4NDM= | 22,018 | [Enhancement] Using del in the drop(where inplace=True) is faster than the current drop method | {
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```python
# Your code here
a = time()
df.drop('x',axis=1,inplace=True)
print(time()-a)#0.02...
#imagine we got the values of column x again...
a = time()
del df['x']
print(time()-a)#0.0009...
#the del method is faster to delete the column in place...
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22019 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22019/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22019/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22019/events | https://github.com/pandas-dev/pandas/pull/22019 | 343,445,964 | MDExOlB1bGxSZXF1ZXN0MjAzMDgxMTkx | 22,019 | [CLN] Dispatch (some) Frame ops to Series, avoiding _data.eval | {
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"followers_url": "https://api.github... | 19 | 2018-07-22T22:44:29Z | 2018-10-03T11:32:41Z | 2018-10-03T11:32:35Z | MEMBER | null | ATM there are exactly two places where `BlockManager.eval` is called: `DataFrame._combine_match_columns` and `DataFrame._combine_const`. This replaces the usage in `_combine_match_columns` with a dispatch-to-Series implementation. Some output dtypes get changed (see edits in `test_axis_select_reindex`, `test_pivot`),... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22020 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22020/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22020/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22020/events | https://github.com/pandas-dev/pandas/issues/22020 | 343,478,809 | MDU6SXNzdWUzNDM0Nzg4MDk= | 22,020 | COMPAT: Import abstract classes from collections.abc | {
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"description": "pandas objects compatability with Numpy or Python functions",
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"followers_url": "https://api.github... | 6 | 2018-07-23T03:53:08Z | 2018-09-18T16:52:01Z | 2018-09-18T16:52:01Z | CONTRIBUTOR | null | > Changed in version 3.3: Moved Collections Abstract Base Classes to the collections.abc module. For backwards compatibility, they continue to be visible in this module through Python 3.7. Subsequently, they will be removed entirely.
Numpy team has done it. https://github.com/numpy/numpy/pull/10743
```python
if PY... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22021 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22021/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22021/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22021/events | https://github.com/pandas-dev/pandas/issues/22021 | 343,595,373 | MDU6SXNzdWUzNDM1OTUzNzM= | 22,021 | BLD: pandas-wheels are failing | {
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"followers_url": "https://api.github... | 5 | 2018-07-23T11:34:34Z | 2018-07-31T13:22:48Z | 2018-07-31T13:22:47Z | CONTRIBUTOR | null | https://travis-ci.org/MacPython/pandas-wheels/builds/406975380
looks like #21879 somehow broke this. The error messages I think are red herrings for somehow picking up a wrong version of numpy when things are compiled. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22022 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22022/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22022/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22022/events | https://github.com/pandas-dev/pandas/issues/22022 | 343,629,675 | MDU6SXNzdWUzNDM2Mjk2NzU= | 22,022 | Power to the NA with Int64 series gives NA | {
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"followers_url": "https://api.github... | 1 | 2018-07-23T13:19:12Z | 2018-10-19T12:08:34Z | 2018-10-19T12:08:34Z | MEMBER | null | Corner-case, but the integer NA type does seem to behave differently when it comes to `rpow`:
```
In [57]: pd.Series([1, 1, 1]) ** pd.Series([1, np.nan, 3])
Out[57]:
0 1.0
1 1.0
2 1.0
dtype: float64
In [58]: pd.Series([1, 1, 1]) ** pd.Series([1, np.nan, 3], dtype='Int64')
Out[58]:
0 1
1 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22023/events | https://github.com/pandas-dev/pandas/issues/22023 | 343,637,529 | MDU6SXNzdWUzNDM2Mzc1Mjk= | 22,023 | Substraction with UInt64 series resulting in negative values gives TypeError | {
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"description": "Arithmetic, Comparison, ... | open | false | null | [] | null | 4 | 2018-07-23T13:39:27Z | 2021-06-21T01:04:58Z | null | MEMBER | null | With the extension integer array the below operation errors, with numpy uint not:
```
In [68]: pd.Series([1, 1, 1]) - pd.Series([1, 2, 3], dtype='UInt64')
...
TypeError: cannot safely cast non-equivalent float64 to uint64
In [69]: pd.Series([1, 1, 1]) - pd.Series([1, 2, 3], dtype='uint64')
Out[69]:
0 0.0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22024 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22024/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22024/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22024/events | https://github.com/pandas-dev/pandas/issues/22024 | 343,641,172 | MDU6SXNzdWUzNDM2NDExNzI= | 22,024 | Reverse operators on integer-NA series and numpy scalars resulting in object dtype | {
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"followers_url": "https://api.github... | 5 | 2018-07-23T13:48:39Z | 2018-11-09T04:11:03Z | 2018-11-09T04:11:02Z | MEMBER | null | This is not necessarily a bug, but at least some unexpected results:
```
In [83]: s = pd.Series([1, 2, 3], dtype='Int64')
In [84]: s + s[0]
Out[84]:
0 2
1 3
2 4
dtype: Int64
In [85]: s[0] + s
Out[85]:
0 2
1 3
2 4
dtype: object
```
In the above `s[0]` is a numpy scalar, if you... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22025/events | https://github.com/pandas-dev/pandas/issues/22025 | 343,647,273 | MDU6SXNzdWUzNDM2NDcyNzM= | 22,025 | Refactor from_records to load data in an efficient way | {
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... | 6 | 2018-07-23T14:03:53Z | 2021-06-21T01:06:01Z | null | MEMBER | null | Based on the SciPy sprint discussions, and the discussions on related issues, seems like `from_records` should be the pandas way to create a `DataFrame` from row based data.
The current signature is next:
- ```def from_records(cls, data, index=None, exclude=None, columns=None, coerce_float=False, nrows=None):```
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https://api.github.com/repos/pandas-dev/pandas/issues/22026 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22026/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22026/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22026/events | https://github.com/pandas-dev/pandas/pull/22026 | 343,670,287 | MDExOlB1bGxSZXF1ZXN0MjAzMjQ3OTU4 | 22,026 | TST: restructure internal extension arrays tests (split between /arrays and /extension) | {
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"followers_url": "https://api.github... | 94 | 2018-07-23T14:59:48Z | 2018-09-06T10:11:33Z | 2018-09-06T10:11:30Z | MEMBER | null | Pull request to discuss what to do with the tests for internal EAs (and one of the comments I still had in https://github.com/pandas-dev/pandas/pull/21160)
Basically, I would keep the `tests/extension/..` only for subclassing the base extension array test suite, and any array-specific functionality is tested in `tes... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22027/events | https://github.com/pandas-dev/pandas/issues/22027 | 343,686,427 | MDU6SXNzdWUzNDM2ODY0Mjc= | 22,027 | No way to control display format when exporting to excel | {
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... | 0 | 2018-07-23T15:38:06Z | 2018-07-24T13:11:19Z | 2018-07-24T13:11:18Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
# format call does nothing
df.style.format("{:.2%}").to_excel('styled.xlsx')
```
#### Problem description
The current excel styler doesn't implement anything for the styler format method. To get number format there are two possible options. Fir... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22028 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22028/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22028/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22028/events | https://github.com/pandas-dev/pandas/pull/22028 | 343,710,807 | MDExOlB1bGxSZXF1ZXN0MjAzMjc4Nzkx | 22,028 | Separate out internals.concat, internals.managers | {
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"followers_url": "https://api.github... | 2 | 2018-07-23T16:44:24Z | 2018-07-26T16:22:30Z | 2018-07-24T00:03:35Z | MEMBER | null | Follow-up to #22014.
Moved `get_blockno_placements` to libinternals since a) its a natural fit anyway and b) it is needed in both concat and managers and I didn't want to runtime-import it.
The only non-cut/paste edit is a change of `isinstance(self.block, ExtensionBlock)` to `self.block.is_extension`
`__init_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22029/events | https://github.com/pandas-dev/pandas/issues/22029 | 343,750,733 | MDU6SXNzdWUzNDM3NTA3MzM= | 22,029 | AttributeError: 'Series' object has no attribute 'columns' | {
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] | closed | false | null | [] | null | 1 | 2018-07-23T18:47:09Z | 2018-07-23T18:59:32Z | 2018-07-23T18:59:25Z | NONE | null | Hi,
System information
Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
NO
OS Platform and Distribution (e.g., Linux Ubuntu 16.04): MacOS Hugh Sierra
TensorFlow installed from (source or binary): I did pip install tensor flow
TensorFlow version (use command below... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22030 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22030/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22030/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22030/events | https://github.com/pandas-dev/pandas/pull/22030 | 343,760,907 | MDExOlB1bGxSZXF1ZXN0MjAzMzE2NzAz | 22,030 | [BLD] [CLN] Close assorted issues - bare exceptions, unused func | {
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- Catch specific exceptions in a handful of places.
- Removes unused function #19676
- Implement command-line option to enable cython coverage #21991
closes #19676
closes #21991
- [x] ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22031/events | https://github.com/pandas-dev/pandas/pull/22031 | 343,768,656 | MDExOlB1bGxSZXF1ZXN0MjAzMzIyNTU4 | 22,031 | REF/API: Stricter extension checking. | {
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"followers_url": "https://api.github... | 21 | 2018-07-23T19:41:56Z | 2018-07-31T13:22:52Z | 2018-07-31T13:22:48Z | CONTRIBUTOR | null | Removes is_extension_array_dtype's handling of both arrays and dtypes.
Now it handles just arrays, and we provide `is_extension_dtype` for checking
whether a dtype is an extension dtype. It's the caller's responsibility to know
whether they have an array or dtype.
Closes #22021 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22032/events | https://github.com/pandas-dev/pandas/pull/22032 | 343,793,713 | MDExOlB1bGxSZXF1ZXN0MjAzMzQyMTgy | 22,032 | fix Error Indexing DafaFrame with a 0-d array | {
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"color": "ff... | closed | false | null | [] | null | 2 | 2018-07-23T21:00:11Z | 2018-07-24T16:38:07Z | 2018-07-24T16:38:07Z | CONTRIBUTOR | null | closes #21946
- [x ] closes #xxxx
- [x ] tests added / passed
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- [x ] whatsnew entry
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This PR if a proof of concept for gathering all those tests in one test_arithmetic... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22034/events | https://github.com/pandas-dev/pandas/pull/22034 | 343,848,818 | MDExOlB1bGxSZXF1ZXN0MjAzMzg0MzI3 | 22,034 | PERF/REF: improve performance of Series.searchsorted, PandasArray.searchsorted, collect functionality | {
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- [x] ASV's added / passed
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Numpy's searchsorted doesn't like being given values to search for that aren't of the same type as the array being searched. By ensuring that the input value has the same dtype ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22035/events | https://github.com/pandas-dev/pandas/issues/22035 | 343,891,319 | MDU6SXNzdWUzNDM4OTEzMTk= | 22,035 | Unable to change dtype of a column after concat and duplicate column names | {
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```python
import pandas
a = pandas.DataFrame({'a': ['0'], 'b': ['str']})
print(a.dtypes)
b = pandas.concat([a, pandas.DataFrame({'b': ['str2']})], axis=1)
print(b.dtypes)
b.iloc[:, 0] = [int(v) for v in a.iloc[:, 0]]
print(b.dtypes)
```
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```python
import pandas
a = pandas.DataFrame({'a': ['0'], 'b': ['str']})
print('---')
print(a)
a.iloc[:, 0] = [int(v) for v in a.iloc[:, 0]]
print('---')
print(a)
b = pandas.concat([a, pandas.DataFrame({'b': ['str2']})], axis=1)
print('---')
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/22039 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22039/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22039/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22039/events | https://github.com/pandas-dev/pandas/pull/22039 | 344,084,009 | MDExOlB1bGxSZXF1ZXN0MjAzNTYzMDI2 | 22,039 | BUG: Matplotlib scatter datetime | {
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"followers_url": "https://api.github... | 2 | 2018-07-24T15:15:59Z | 2018-08-02T10:42:54Z | 2018-08-02T10:42:51Z | CONTRIBUTOR | null | xref https://github.com/matplotlib/matplotlib/issues/11391 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22040 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22040/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22040/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22040/events | https://github.com/pandas-dev/pandas/issues/22040 | 344,084,802 | MDU6SXNzdWUzNDQwODQ4MDI= | 22,040 | Updating value of a single row of a column using loc or at fails | {
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"de... | open | false | null | [] | null | 8 | 2018-07-24T15:17:45Z | 2021-06-21T01:06:36Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
In [12]: import numpy as np
In [13]: import pandas as pd
In [14]: arr = np.random.rand(2, 2)
In [15]: colnames = ['col1', 'col2']
In [16]: index = pd.date_range('1-1-2018', periods=2)
In [17]: df = pd.DataFrame(data=arr, index=index, col... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22041 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22041/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22041/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22041/events | https://github.com/pandas-dev/pandas/issues/22041 | 344,090,002 | MDU6SXNzdWUzNDQwOTAwMDI= | 22,041 | Pandas Series: unexpected error while doing difference (`_maybe_match_name`) | {
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"description": "Arithmetic, Comparison, ... | closed | false | null | [] | {
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"created_at": "2021-06-09T18:28:42Z",
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"followers_url": "https://api.github.com/users/jreback/followers",... | 10 | 2018-07-24T15:29:57Z | 2021-11-20T15:55:55Z | 2021-11-20T15:55:55Z | NONE | null | pandas version is 0.22.0, numpy version is 1.14.0
While performing the following:
```python
a = pd.Series([1, 2, 3])
a.name = np.int64(123)
b = pd.Series([4, 5, 6])
b.name = (123, 789)
a - b
```
I obtain the following error:
```
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https://api.github.com/repos/pandas-dev/pandas/issues/22042 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22042/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22042/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22042/events | https://github.com/pandas-dev/pandas/issues/22042 | 344,102,793 | MDU6SXNzdWUzNDQxMDI3OTM= | 22,042 | BUG: Mismatched Comparisons Inconsistencies | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2018-07-24T16:01:23Z | 2019-03-26T20:51:38Z | 2019-03-26T20:27:46Z | MEMBER | null | ```
idx = pd.Index([2, 3])
ser = idx.to_series()
df = ser.to_frame()
foo = pd.Index(['foo', 'foo'])
>>> idx == 'foo'
False
>>> idx < 'foo'
PY2 --> False
PY3 --> TypeError
>>> ser == 'foo'
TypeError
>>> ser < 'foo'
TypeError
>>> ser == foo
2 False
3 False
dtype: bool
>>> ser < foo
PY2 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22044 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22044/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22044/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22044/events | https://github.com/pandas-dev/pandas/issues/22044 | 344,205,044 | MDU6SXNzdWUzNDQyMDUwNDQ= | 22,044 | Multi-index and CategoricalIndex performance | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-07-24T21:10:14Z | 2019-06-08T21:04:28Z | 2019-06-08T21:04:28Z | CONTRIBUTOR | null | Hi,
Building a multi-index from a categorical index should be instantaneous: labels are codes and the corresponding level is a CategoricalIndex with the same N categories and codes [0 ... N-1] as intended in
https://github.com/pandas-dev/pandas/blob/edb71fda022c6a155717e7a25679040ee0476639/pandas/core/arrays/cate... | {
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"followers_url": "https://api.github... | 5 | 2018-07-24T22:49:56Z | 2018-09-04T15:04:55Z | 2018-09-04T15:04:55Z | NONE | null | #### Problem description
This was going to be a request for an enhancement, but after investigation it just became a reminder that pandas has an undocumented feature.
About once every few months I get into a tricky debug situation where a column has ceased to exist because it was suffixed with _x or _y, and whil... | {
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"color": "0b02e1",
"default": false,
"description": "Related to indexing on s... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 11 | 2018-07-24T22:58:31Z | 2020-11-19T08:46:12Z | 2020-11-19T00:22:06Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas
columns = pandas.DataFrame({'a2': [11, 12, 13], 'b2': [14, 15, 16]})
inputs = pandas.DataFrame({'a1': [1, 2, 3], 'b1': [4, 5, 6], 'c1': [7, 8, 9]})
inputs.iloc[:, [1]] = columns.iloc[:, [0]]
print(inputs)
```
#### Problem de... | {
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"followers_url": "https://api.github... | 5 | 2018-07-25T04:34:14Z | 2018-08-14T10:49:12Z | 2018-08-14T10:49:11Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
a = pd.DataFrame([[False, True], [False, False]])
print(a.dtypes)
b = a * 1
print(b.dtypes)
```
#### Problem description
With 0.20.3, I get `b` as DataFrame `int32`.
With 0.23.3, I get `b` as DataFrame `object`.
#### ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22048 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22048/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22048/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22048/events | https://github.com/pandas-dev/pandas/issues/22048 | 344,292,132 | MDU6SXNzdWUzNDQyOTIxMzI= | 22,048 | Pytest and python setup.py build_ext --inplace --force fails. | {
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I've been trying to write some test cases I have for a PR, but when I run `pytest pandas`, I get the error
```in /Users/raguiar2/Desktop/pandas-raguiar2/pandas/_libs/tslibs/conversion.so not built. If you want to import pandas from the source directory, you may need to run 'python setup... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22049 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22049/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22049/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22049/events | https://github.com/pandas-dev/pandas/issues/22049 | 344,344,725 | MDU6SXNzdWUzNDQzNDQ3MjU= | 22,049 | DEPR: deprecated IntervalIndex.itemsize, remove IntervalArray.itemsize | {
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"followers_url": "https://api.github... | 0 | 2018-07-25T08:33:41Z | 2018-08-01T01:07:54Z | 2018-08-01T01:07:54Z | MEMBER | null | From discussion at https://github.com/pandas-dev/pandas/pull/20611#discussion_r204674611
cc @jschendel | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22050 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22050/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22050/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22050/events | https://github.com/pandas-dev/pandas/issues/22050 | 344,356,732 | MDU6SXNzdWUzNDQzNTY3MzI= | 22,050 | pd.DataFrame is not stored efficiently to hdf5 format | {
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"descri... | closed | false | null | [] | null | 3 | 2018-07-25T09:08:27Z | 2018-07-26T12:25:17Z | 2018-07-26T12:25:17Z | NONE | null | #### Problem description
I have a pandas dataframe that takes 4 MB of the memory:
```Python
>>> df.memory_usage(deep=True).sum() / (1024 ** 2)
>>> 3.9931907653808594
```
When I save this dataframe to hdf5 file, the space 'my_data.hdf5' takes on disk is 21.1 MB:
```Python
>>> df.to_hdf('my_da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22051 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22051/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22051/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22051/events | https://github.com/pandas-dev/pandas/issues/22051 | 344,368,323 | MDU6SXNzdWUzNDQzNjgzMjM= | 22,051 | where method results in a different outputs when using the inplace kwarg | {
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"de... | open | false | null | [] | null | 3 | 2018-07-25T09:40:09Z | 2021-10-29T02:20:07Z | null | NONE | null | I am getting different results when using the where method with `inplace=False` vs `inplace=True`.
consider the following `dataframe`:
```ptyhon
df = pd.DataFrame({'a':[1,None,3]})
df
a
0 1.0
1 Nan
2 3.0
```
when using the where method with `inplace=False` (the default), i get the following re... | {
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"followers_url": "https://api.github... | 3 | 2018-07-25T15:50:17Z | 2018-07-31T15:44:07Z | 2018-07-31T15:44:06Z | NONE | null | #### Code Sample
```python
pd.testing.assert_frame_equal(
pd.DataFrame([{'filename':'a'}, {'filename': 'b'}]),
pd.DataFrame([{'filename':'b'}, {'filename': 'a'}]),
check_like=True)
AssertionError: DataFrame.iloc[:, 0] are different
DataFrame.iloc[:, 0] values are different (100.0 %)
[left]: [a, b]
[righ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22053 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22053/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22053/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22053/events | https://github.com/pandas-dev/pandas/issues/22053 | 344,521,855 | MDU6SXNzdWUzNDQ1MjE4NTU= | 22,053 | df.groupby(cols).tshift(0, freq) Drops Index Level When Shift is Zero | {
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... | 3 | 2018-07-25T16:41:46Z | 2018-11-26T03:19:40Z | 2018-11-26T03:19:39Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({"numerical_col": [-1, -2, -3, -4, -5, -6, -7, -8, -9, -10],
"date": ["2018-01-01", "2018-01-01", "2018-01-01", "2018-02-01", "2018-02-01",
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https://api.github.com/repos/pandas-dev/pandas/issues/22054 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22054/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22054/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22054/events | https://github.com/pandas-dev/pandas/pull/22054 | 344,582,606 | MDExOlB1bGxSZXF1ZXN0MjAzOTQ0MjE1 | 22,054 | BUG: fix raise of TypeError when subtracting timedelta array | {
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"followers_url": "https://api.github... | 30 | 2018-07-25T19:49:53Z | 2018-09-18T13:25:28Z | 2018-09-18T13:25:26Z | CONTRIBUTOR | null | closes #21980
- [x] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/22055 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22055/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22055/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22055/events | https://github.com/pandas-dev/pandas/issues/22055 | 344,601,908 | MDU6SXNzdWUzNDQ2MDE5MDg= | 22,055 | DOC: Example on how to parse comments | {
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For example, a typical VCF file:
#VCF v1.1.4... | {
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```python
import pandas as pd
s = pd.Series([0.9999,2,3,4.0001])
bins = 4
hist_data = s.value_counts(bins=bins, sort=False)
"""hist_data is shown below
(0.996, 1.75] 1
(1.75, 2.5] 1
(2.5, 3.25] 1
(3.25, 4.0] 1
dtype: int64
"""
#The... | {
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"followers_url": "https://api.github... | 9 | 2018-07-25T21:55:42Z | 2018-07-27T08:28:44Z | 2018-07-27T08:28:44Z | MEMBER | null | Looks like the `filepath_or_buffer` argument is rendering poorly in the `read_csv` documentation:
<img width="740" alt="image" src="https://user-images.githubusercontent.com/609873/43229729-a8d47712-901a-11e8-8bf4-80d307b33bc3.png">
Should be a pretty easy doc fix:
https://github.com/pandas-dev/pandas/blob/edb... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22058 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22058/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22058/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22058/events | https://github.com/pandas-dev/pandas/pull/22058 | 344,640,997 | MDExOlB1bGxSZXF1ZXN0MjAzOTg5Njk3 | 22,058 | DOC: Reword doc for filepath_or_buffer in read_csv | {
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"followers_url": "https://api.github... | 4 | 2018-07-25T23:21:55Z | 2018-07-27T08:40:17Z | 2018-07-27T08:28:44Z | MEMBER | null | Shortens dtype description following colon and moves it to a more expanded parameter description.
Closes #22057.
cc @WillAyd | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22059 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22059/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22059/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22059/events | https://github.com/pandas-dev/pandas/issues/22059 | 344,696,711 | MDU6SXNzdWUzNDQ2OTY3MTE= | 22,059 | trouble building master branch from source in Windows7 x64 version | {
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#### Problem description
I can build v0.23.3 from source without any trouble but I just cannot build current master branch (Current master branch at commit 2c7c79779f1ef353d02446504d3b5f5c5cc68759)
The compiler version is:
Microsoft (R) C/C++ Optimizing Compiler Version 19.12.25835 for x64
Here is the ouput:
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https://api.github.com/repos/pandas-dev/pandas/issues/22060 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22060/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22060/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22060/events | https://github.com/pandas-dev/pandas/issues/22060 | 344,712,092 | MDU6SXNzdWUzNDQ3MTIwOTI= | 22,060 | DataFrame.__setitem__ converts Index to RangeIndex for length-zero value | {
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```python
#!/usr/bin/env python3
import pandas as pd
from datetime import datetime
a = pd.DataFrame([[datetime.now(), 1234, 3.1415]], columns=['col0', 'col1', 'col2']).iloc[[]]
print(a.shape)
# (0, 3) <- 0 rows, 3 columns
print(a.dtypes)
# col0 datetime64[ns]
# col1 int64
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https://api.github.com/repos/pandas-dev/pandas/issues/22061 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22061/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22061/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22061/events | https://github.com/pandas-dev/pandas/pull/22061 | 344,746,852 | MDExOlB1bGxSZXF1ZXN0MjA0MDY2NjAz | 22,061 | TST: Parameterize more tests | {
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"followers_url": "https://api.github... | 2 | 2018-07-26T08:35:34Z | 2018-07-26T23:15:30Z | 2018-07-26T12:27:22Z | MEMBER | null | Title is self-explanatory.
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https://api.github.com/repos/pandas-dev/pandas/issues/22062 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22062/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22062/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22062/events | https://github.com/pandas-dev/pandas/issues/22062 | 344,770,282 | MDU6SXNzdWUzNDQ3NzAyODI= | 22,062 | to_html() --> transforms < and > to < and > by default from a string in a cell. | {
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```python
# Your code here
```
#### Problem description
So, you cannot add <span> etc. into the cell
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possible that your issue has been posted before. Please check first before su... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22063 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22063/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22063/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22063/events | https://github.com/pandas-dev/pandas/pull/22063 | 344,778,882 | MDExOlB1bGxSZXF1ZXN0MjA0MDkxMzMz | 22,063 | PROPOSAL: use datetime64 and timedelta64 to eval | {
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... | closed | false | null | [] | null | 6 | 2018-07-26T10:06:33Z | 2018-11-26T03:48:36Z | 2018-11-26T03:48:35Z | CONTRIBUTOR | null | This PR aims to use datetime64 and timedelta64 in evaluation directly, instead of casting to integer and then casting back.
Benefits:
1. `values` is saved in `ndarray[datetime64]`, casting to `int` to eval is non-intuitive. It seems back to the time before numpy 1.7 which implements `datetime64`.
2. `numpy.ufunc`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22064 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22064/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22064/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22064/events | https://github.com/pandas-dev/pandas/pull/22064 | 344,811,442 | MDExOlB1bGxSZXF1ZXN0MjA0MTE2ODgw | 22,064 | TST: suppress deprecation warnings for compress | {
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In case we find it OK `np.compress` with Series is also deprecated, this PR makes sure the warnings are catched in the tests. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22065 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22065/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22065/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22065/events | https://github.com/pandas-dev/pandas/issues/22065 | 344,817,285 | MDU6SXNzdWUzNDQ4MTcyODU= | 22,065 | Handling NaN during resampling | {
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When resampling a time-series by averaging, I want the resampled result to be a nan value, if the values which are averaged contain a nan value.
```python
import numpy as np
import pandas as pd
def resample_func(values):
if np.isnan(values).any():
return np.nan
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https://api.github.com/repos/pandas-dev/pandas/issues/22066 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22066/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22066/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22066/events | https://github.com/pandas-dev/pandas/pull/22066 | 344,846,067 | MDExOlB1bGxSZXF1ZXN0MjA0MTQzODc2 | 22,066 | DOC: consistent docstring for compression kwarg | {
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"followers_url": "https://api.github... | 2 | 2018-07-26T13:33:29Z | 2018-07-28T14:50:31Z | 2018-07-28T13:16:25Z | CONTRIBUTOR | null | - [x] closes #17900
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
https://github.com/pandas-dev/pandas/pull/17900#discussion_r147927074 removed zip from docstring. But the support to write zip compression was added during March and April this year (mainly https://g... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22067 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22067/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22067/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22067/events | https://github.com/pandas-dev/pandas/issues/22067 | 344,860,825 | MDU6SXNzdWUzNDQ4NjA4MjU= | 22,067 | TypeError in pandas._libs.tslibs.period._ordinal_from_fields | {
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"followers_url": "https://api.github... | 5 | 2018-07-26T14:10:07Z | 2018-07-30T10:31:36Z | 2018-07-30T10:31:36Z | NONE | null | Using pandas `0.23.3` I receive a `TypeErorr` when running the following code:
```python
import pandas
ts = pandas.date_range('2017-01-01', '2018-01-01', freq='B')
months = ts.map(lambda x: pandas.Period(year=x.year, month=x.month, freq='M'))
# Screen output even though operation succeeds.
# TypeError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22068 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22068/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22068/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22068/events | https://github.com/pandas-dev/pandas/pull/22068 | 344,922,626 | MDExOlB1bGxSZXF1ZXN0MjA0MjAzMjAx | 22,068 | De-duplicate dispatch code, remove unreachable branches | {
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"followers_url": "https://api.github... | 8 | 2018-07-26T16:47:34Z | 2018-08-08T15:50:04Z | 2018-08-08T10:17:37Z | MEMBER | null | There are a couple of `DataFrame` methods that operate column-wise, dispatching to `Series` implementations. This de-duplicates that code by implementing `ops.dispatch_to_series`. Importantly, this function is going to be used a few more times as we move towards getting rid of `BlockManager.eval` and `Block.eval`, so... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22069 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22069/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22069/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22069/events | https://github.com/pandas-dev/pandas/issues/22069 | 344,992,459 | MDU6SXNzdWUzNDQ5OTI0NTk= | 22,069 | BUG: groupby.plot.kde applies to index as well | {
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... | open | false | null | [] | null | 2 | 2018-07-26T20:24:23Z | 2020-04-10T04:26:51Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
%matplotlib inline
import pandas as pd
import numpy as np
np.random.seed(0)
df = pd.DataFrame(np.random.random((10,2)), columns=['x', 'y' ])
df['cat'] = 1
df.groupby('cat').plot.kde()
```
#### Problem description
This r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22070 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22070/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22070/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22070/events | https://github.com/pandas-dev/pandas/pull/22070 | 345,006,848 | MDExOlB1bGxSZXF1ZXN0MjA0MjY4MDA2 | 22,070 | Split fastpath IntegerArray constructor and general purpose constructor | {
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"followers_url": "https://api.github... | 10 | 2018-07-26T21:10:33Z | 2018-08-20T11:14:21Z | 2018-08-20T10:53:52Z | MEMBER | null | Related to the discussion we were having on the PR: https://github.com/pandas-dev/pandas/pull/21160/#discussion_r201209246 (@jreback @shoyer).
Opening this PR for discussion, to *show* what I meant there, to hopefully make it more concrete discussion.
Briefly the changes / rationale:
- Separate the "fastpath" ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22071 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22071/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22071/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22071/events | https://github.com/pandas-dev/pandas/pull/22071 | 345,048,221 | MDExOlB1bGxSZXF1ZXN0MjA0Mjk5ODE1 | 22,071 | Remove unused, avoid uses of deprecated api | {
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"followers_url": "https://api.github... | 5 | 2018-07-27T00:18:38Z | 2018-07-31T16:00:22Z | 2018-07-31T13:24:33Z | MEMBER | null | `core.dtypes.common.is_period` is confusingly named and never used. This PR gets rid of it.
The deprecated numpy API that causes zillions of warnings includes `ndarray.data`, so this replaces the old usage with the encouraged usage.
A bunch of `tslibs.util` isn't actually used in tslibs.util, so the relevant fun... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22072 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22072/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22072/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22072/events | https://github.com/pandas-dev/pandas/pull/22072 | 345,053,114 | MDExOlB1bGxSZXF1ZXN0MjA0MzAzNDA4 | 22,072 | fix for TypeError: unorderable types" in when using set_index with multiple column names | {
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"de... | open | false | null | [] | null | 3 | 2018-07-27T01:36:31Z | 2021-06-21T01:21:21Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({
'a': [1, 2, 3, 4],
'b': ['foo', 'bar', 'baz', 'qux'],
'c': [5, 6, 7, 8]
})
print(df['a'].values.strides)
store = pd.HDFStore('example.h5')
store['df'] = df
print(store['df']['a'].valu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22074 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22074/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22074/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22074/events | https://github.com/pandas-dev/pandas/pull/22074 | 345,076,360 | MDExOlB1bGxSZXF1ZXN0MjA0MzE5MzQy | 22,074 | [Bug] Fix various DatetimeIndex comparison bugs | {
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"followers_url": "https://api.github... | 8 | 2018-07-27T03:17:30Z | 2018-08-08T15:52:15Z | 2018-08-01T09:19:44Z | MEMBER | null | Will have to see which issues this closes. This is also a precursor to upcoming PR that dispatches DataFrame ops to Series (which in turn dispatches to Index).
Fixes #7830 (the OP's example is already fixed, this fixes examples in the comments to that issue)
Fixes DTI half of #19804
- [x] closes #7830
- [x] te... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Using flake8-comprehensions (xref https://github.com/pandas-dev/pandas/issues/20588#issuecomment-405057018) to lint for unnecessary comprehensions. I just added this to the 2.7-travis build since it ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22076 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22076/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22076/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22076/events | https://github.com/pandas-dev/pandas/pull/22076 | 345,106,636 | MDExOlB1bGxSZXF1ZXN0MjA0MzQxMDUw | 22,076 | Feature-Request: Allow user defined categories in get_dummies() | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Allow user to provide his own set of labels for `get_dummies()`. Useful if one has multiple dataframes and not all categories are present in some of them.
Just wanted to get so... | {
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"de... | open | false | null | [] | null | 2 | 2018-07-27T06:34:06Z | 2021-06-21T01:24:38Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: from collections import OrderedDict
In [3]: param_index = OrderedDict([((('a', 'b'), ('c', 'd')), 1),
...: ((('a', None), ('c', 'd')), 2),
...: ])
...:
In [4]: pd.Series([1, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22078 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22078/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22078/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22078/events | https://github.com/pandas-dev/pandas/issues/22078 | 345,138,428 | MDU6SXNzdWUzNDUxMzg0Mjg= | 22,078 | Feature Request: allow user defined categories in get_dummies | {
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... | 4 | 2018-07-27T08:34:11Z | 2021-06-21T01:27:03Z | null | NONE | null | To get dataframes with consistent shapes after applying `get_dummies` (in cases where not all categories are present in the data) it would be useful to provide a list of all categories to be used.
Here an example of how it could work.
```python
In [26]: df
Out[26]:
var_1 var_2 y
0 a 1 1
1 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22079 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22079/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22079/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22079/events | https://github.com/pandas-dev/pandas/issues/22079 | 345,159,500 | MDU6SXNzdWUzNDUxNTk1MDA= | 22,079 | df.agg gives a TypeError when sending more than one argument with | {
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... | null | 5 | 2018-07-27T09:39:08Z | 2021-06-27T20:25:10Z | 2021-06-27T20:25:10Z | CONTRIBUTOR | null | #### Code Sample
```python
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randint(0,30,size=(30, 4)), columns=list('ABCD'))
df = df.set_index(pd.date_range('2018-04-18 06:00:00', '2018-04-22 06:00:00', periods=30))
df['B'][5:15] = np.nan
df.agg('sum', axis=1) # this works
df.agg('sum', ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22080 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22080/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22080/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22080/events | https://github.com/pandas-dev/pandas/issues/22080 | 345,171,453 | MDU6SXNzdWUzNDUxNzE0NTM= | 22,080 | "TypeError: unorderable types" in Python3 when initializing Categorical with array values including tuples #15457 | {
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... | open | false | null | [] | null | 0 | 2018-07-27T10:17:01Z | 2021-06-21T01:29:22Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: pd.Categorical(np.array([1, 'a'], dtype='object'), ordered=True)
Out[2]:
[1, a]
Categories (2, object): [1 < a]
In [3]: pd.Categorical(np.array([1, (1, 2)], dtype='object'), ordered=True)
------------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22081 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22081/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22081/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22081/events | https://github.com/pandas-dev/pandas/pull/22081 | 345,178,389 | MDExOlB1bGxSZXF1ZXN0MjA0Mzk1MDU4 | 22,081 | DOC: clarify default behavior for categories ordering | {
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Just a doc clarification on default categories ordering, which can be pretty confusing when handling mixed dtypes (see also #22080 ). | {
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... | 1 | 2018-07-27T12:56:00Z | 2020-05-16T20:35:35Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
import psutil
import os
def get_ram_usage_pct():
ram_usage_pct = psutil.Process(os.getpid()).memory_percent()
return "{0:.2f}%".format(ram_usage_pct)
def get_hdfstore_ram_usage_table(**kwarg... | {
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- [x] closes #19266
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Internal mechanism in replace method is intertwined and can cause RecursionError (not very helpful). Discussed in #21977, there doesn't appear to be first... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22084 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22084/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22084/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22084/events | https://github.com/pandas-dev/pandas/issues/22084 | 345,269,102 | MDU6SXNzdWUzNDUyNjkxMDI= | 22,084 | pd.get_dummies incorrectly encodes unicode characters in dataframe column names | {
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"followers_url": "https://api.github... | 1 | 2018-07-27T15:25:57Z | 2018-08-02T17:21:37Z | 2018-08-02T17:21:37Z | CONTRIBUTOR | null | #### Problem description
In Python 2.x, calling `pd.get_dummies` on a data-frame containing Unicode column names with characters out of ASCII range leads to an UnicodeEncodeError. Problem first appeared in version 0.21.0 and is still present in 0.23.3, as well as master branch. It was first introduced in this commit... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22085 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22085/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22085/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22085/events | https://github.com/pandas-dev/pandas/issues/22085 | 345,324,217 | MDU6SXNzdWUzNDUzMjQyMTc= | 22,085 | Checking that a pandas.Series.index contains a value | {
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"followers_url": "https://api.github... | 7 | 2018-07-27T18:30:10Z | 2018-09-19T21:17:13Z | 2018-09-19T21:17:13Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import numpy as np
import pandas as pd
some_numbers = np.random.randint(0,4,size=10)
print(some_numbers)
s = pd.Series(some_numbers)
gb = s.groupby(s).size() / len(s)
print(gb)
1.3 in gb
```
#### Problem description
I repo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22086 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22086/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22086/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22086/events | https://github.com/pandas-dev/pandas/issues/22086 | 345,389,994 | MDU6SXNzdWUzNDUzODk5OTQ= | 22,086 | Feature Idea: Hoeffding's Dependency for DataFrames, similar to .corr(method='spearman') | {
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"description": "Arithmet... | closed | false | null | [] | null | 2 | 2018-07-27T23:03:06Z | 2018-07-31T01:57:15Z | 2018-07-31T01:57:15Z | NONE | null | You can see the definition of this measure of statistical dependency here:
**http://support.sas.com/documentation/cdl/en/procstat/67528/HTML/default/viewer.htm#procstat_corr_details07.htm**
And here is a parallel implementation for Matlab:
https://stackoverflow.com/a/9322657
There is another version for R h... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22087 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22087/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22087/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22087/events | https://github.com/pandas-dev/pandas/pull/22087 | 345,391,172 | MDExOlB1bGxSZXF1ZXN0MjA0NTU4Nzcy | 22,087 | Remove unused cimports, fix #22067 | {
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"... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 5 | 2018-07-27T23:10:42Z | 2018-08-08T15:53:42Z | 2018-07-30T10:31:36Z | MEMBER | null | Fixes #22067, but no clear way to test it.
- [x] closes #22067
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https://api.github.com/repos/pandas-dev/pandas/issues/22088 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22088/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22088/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22088/events | https://github.com/pandas-dev/pandas/issues/22088 | 345,398,495 | MDU6SXNzdWUzNDUzOTg0OTU= | 22,088 | Cannot plot a column against itself | {
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... | open | false | null | [] | null | 12 | 2018-07-28T00:06:12Z | 2021-11-16T11:48:31Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({'x': [1, 2], 'y': [2, 1]})
df.plot(x='x', y='x')
```
```
# A similar issue that should be tested once fixed
s1 = pd.Series(range(5), name="x")
s2 = pd.Series(range(10, 15), name="x") # The following wo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22089 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22089/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22089/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22089/events | https://github.com/pandas-dev/pandas/pull/22089 | 345,398,818 | MDExOlB1bGxSZXF1ZXN0MjA0NTY0NDc1 | 22,089 | CLN: Remove vbench_to_asv.py | {
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"followers_url": "https://api.github... | 1 | 2018-07-28T00:09:26Z | 2018-07-28T18:51:07Z | 2018-07-28T13:16:48Z | MEMBER | null | Since pandas has been using ASV for performance benchmarking, and artifacts of vbench are gone, there doesn't appear a need for this script anymore.
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https://api.github.com/repos/pandas-dev/pandas/issues/22090 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22090/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22090/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22090/events | https://github.com/pandas-dev/pandas/pull/22090 | 345,403,173 | MDExOlB1bGxSZXF1ZXN0MjA0NTY3NDQ0 | 22,090 | ENH: Option to return -inf/inf as lower/upper bound of quantiles, see… | {
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- [x] closes #17282
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/22091 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22091/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22091/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22091/events | https://github.com/pandas-dev/pandas/issues/22091 | 345,407,797 | MDU6SXNzdWUzNDU0MDc3OTc= | 22,091 | BUG: categorical/string Series `hist()` method produces confusing bar plot. | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-07-28T01:54:34Z | 2018-07-30T15:45:08Z | 2018-07-30T15:45:07Z | CONTRIBUTOR | null | #### Code Sample
```python
In [1]: import pandas
In [5]: s = pandas.Series(list('AAAABBC'))
In [6]: s
Out[6]:
0 A
1 A
2 A
3 A
4 B
5 B
6 C
dtype: object
In [7]: ax = s.hist()
In [8]: ax.figure.savefig('actual.png')
```
#### Problem description
The `hist()` method cr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22092 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22092/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22092/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22092/events | https://github.com/pandas-dev/pandas/issues/22092 | 345,414,859 | MDU6SXNzdWUzNDU0MTQ4NTk= | 22,092 | Bool Ops: One bug hides another | {
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"followers_url": "https://api.github... | 2 | 2018-07-28T03:42:16Z | 2018-09-18T13:54:15Z | 2018-09-18T13:54:15Z | MEMBER | null | Boolean ops (&, |, ^) are less well-tested than most of the others. Going through some of these, some of them raise for weird reasons:
```
ser = pd.Series([True, False, True])
idx = pd.Index([False, True, True])
```
Starting with `ser & idx`, we'd expect to get `Series([False, False, True])`. Instead we get ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22093 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22093/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22093/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22093/events | https://github.com/pandas-dev/pandas/pull/22093 | 345,416,144 | MDExOlB1bGxSZXF1ZXN0MjA0NTc0OTcx | 22,093 | [CLN] parametrize and cleanup a bunch of tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22094 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22094/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22094/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22094/events | https://github.com/pandas-dev/pandas/pull/22094 | 345,422,145 | MDExOlB1bGxSZXF1ZXN0MjA0NTc4Njcw | 22,094 | MAINT: refactor from_items() using from_dict() | {
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by reimplementing `DataFrame.from_items()` in the recommended
way using `DataFrame.from_dict()` and `collections.OrderedDict`.
This eliminates the maintenance burden of separate code for
`from_items()`, while allowing existing uses to keep working.
A ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22095/events | https://github.com/pandas-dev/pandas/pull/22095 | 345,435,200 | MDExOlB1bGxSZXF1ZXN0MjA0NTg1NjM2 | 22,095 | Bug in date_range with semi-open interval and freq='B' | {
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"followers_url": "https://api.github... | 4 | 2018-07-28T09:32:56Z | 2018-08-01T14:42:19Z | 2018-07-31T13:12:53Z | CONTRIBUTOR | null | First contribution so this PR is really light.
#6673 is resolved on master, but this PR adds some tests to confirm this behavior. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22096 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22096/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22096/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22096/events | https://github.com/pandas-dev/pandas/issues/22096 | 345,441,180 | MDU6SXNzdWUzNDU0NDExODA= | 22,096 | Bug in integerNA comparision test | {
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says that we're testing the `array` op, but `s` is a `Series`, not an array. Should that be `result = pd.Series(op(data, other)`)?
Series is tested later: https://github.com/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22097 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22097/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22097/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22097/events | https://github.com/pandas-dev/pandas/pull/22097 | 345,444,452 | MDExOlB1bGxSZXF1ZXN0MjA0NTkwOTM2 | 22,097 | ENH: Option to return -inf/inf as lower/upper bound of quantiles, see… | {
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- [x] closes #17282
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/22098 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22098/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22098/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22098/events | https://github.com/pandas-dev/pandas/issues/22098 | 345,445,681 | MDU6SXNzdWUzNDU0NDU2ODE= | 22,098 | TST: remove skip for pytables build issue on numpy 1.15 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22099 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22099/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22099/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22099/events | https://github.com/pandas-dev/pandas/pull/22099 | 345,445,748 | MDExOlB1bGxSZXF1ZXN0MjA0NTkxNjY2 | 22,099 | TST: skip pytables test with not-updated pytables conda package | {
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```python
>>> s = pd.Series(['0:0:1'])
>>> s.astype('timedelta64[ns]')
WTF timedelta64[ns]
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/sergey/projects/pandas/pandas/util/_decorators.py", line 177, in wrapper
r... | {
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"followers_url": "https://api.github... | 4 | 2018-07-28T13:15:37Z | 2018-08-01T01:06:30Z | 2018-08-01T01:06:30Z | CONTRIBUTOR | null | I think this is a new warning from numpy in 1.15: https://travis-ci.org/pandas-dev/pandas/jobs/409274058
```
/home/travis/build/pandas-dev/pandas/pandas/core/dtypes/common.py:2026: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future.
if dtype in [object, np.object_, 'ob... | {
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```python
>>> import pandas as pd
>>> df = pd.DataFrame([[],[],[]])
>>> df.apply(lambda x: [1, 2, 3], axis=1, result_type='expand')
Empty DataFrame
Columns: []
Index: [0, 1, 2]
```
#### Problem description
Applying with a function that doesn't depend o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22103 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22103/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22103/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22103/events | https://github.com/pandas-dev/pandas/issues/22103 | 345,458,250 | MDU6SXNzdWUzNDU0NTgyNTA= | 22,103 | read_fwf with colspec fails to read correctly the value of the 2nd column | {
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"... | closed | false | null | [] | null | 2 | 2018-07-28T15:48:18Z | 2018-07-29T05:54:49Z | 2018-07-28T22:16:47Z | NONE | null | #my data file
```sh
echo "AAZZZ" > test.dat
```
#my python program
```python
import pandas as pd
data=pd.read_fwf("test.dat", colspecs=[(0, 2), (2, 3)], names=["col1", "col2"])
```
#### Problem description
Always tested in VirtualEnv
Same Issue on Windows (Python2.7, Python3.6) and Ubuntu16.4 (Python... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22104 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22104/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22104/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22104/events | https://github.com/pandas-dev/pandas/pull/22104 | 345,473,078 | MDExOlB1bGxSZXF1ZXN0MjA0NjA3NDQ3 | 22,104 | CLN: Old helper functions | {
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"followers_url": "https://api.github... | 4 | 2018-07-28T19:29:33Z | 2018-07-29T18:15:16Z | 2018-07-29T15:25:14Z | MEMBER | null | - [x] closes #21838
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
It appears that these functions were helpers at one point in the past, but they don't appear anywhere in the codebase now (and are not publicly documented).
I _think_ they are safe to blow away, although they exist the publi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22105 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22105/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22105/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22105/events | https://github.com/pandas-dev/pandas/pull/22105 | 345,475,720 | MDExOlB1bGxSZXF1ZXN0MjA0NjA4OTUx | 22,105 | Fix plot column against itself | {
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... | closed | false | null | [] | null | 10 | 2018-07-28T20:12:24Z | 2018-12-07T14:53:12Z | 2018-11-23T03:30:48Z | NONE | null | My first ever open source PR, be gentle.
- [x] closes #22088
- [x] plotting tests passed
(310 passed, 4 skipped, 2 xfailed, 4 xpassed, 39 warnings)
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
I ran this command and it returned nothing.
This allows for plotting of where `x` and `y` ar... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22106 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22106/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22106/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22106/events | https://github.com/pandas-dev/pandas/pull/22106 | 345,476,324 | MDExOlB1bGxSZXF1ZXN0MjA0NjA5MzE3 | 22,106 | DOC: Clarify check_like behavior in assert_frame_equal | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Not sure about test. Should I test `DataFrame` method `astype` instead? If so, where to put test? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22108 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22108/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22108/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22108/events | https://github.com/pandas-dev/pandas/pull/22108 | 345,484,581 | MDExOlB1bGxSZXF1ZXN0MjA0NjE0MzY1 | 22,108 | BUG: DataFrame.replace with out of bound datetime causing RecursionError | {
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"followers_url": "https://api.github... | 4 | 2018-07-28T22:47:59Z | 2018-08-01T08:33:58Z | 2018-08-01T01:09:54Z | CONTRIBUTOR | null | - [x] closes #20380
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
By default, keyword convert=True for replace method for Block and ObjectBlock. When trying to replace dataframe, blocks are operated on separately, during which conversion happe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22109 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22109/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22109/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22109/events | https://github.com/pandas-dev/pandas/pull/22109 | 345,485,278 | MDExOlB1bGxSZXF1ZXN0MjA0NjE0NzYy | 22,109 | ENH: add np.nan* funcs to cython_table | {
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"followers_url": "https://api.github... | 8 | 2018-07-28T23:00:48Z | 2019-01-17T19:03:12Z | 2018-10-28T03:26:45Z | CONTRIBUTOR | null | - [x] closes #19629
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This PR ensures that ``Series.agg`` can correctly take np.nan* funcs as inputs, e.g.:
```python
>>> pd.Series([1,2,3,4]).agg(np.nansum)
10
```
Previously that operation... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22110 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22110/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22110/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22110/events | https://github.com/pandas-dev/pandas/pull/22110 | 345,490,837 | MDExOlB1bGxSZXF1ZXN0MjA0NjE4MTI4 | 22,110 | BUG: _cython_table bug fix | {
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This PR makes the sort order follow the functions names again and the... | {
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