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https://api.github.com/repos/pandas-dev/pandas/issues/21712 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21712/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21712/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21712/events | https://github.com/pandas-dev/pandas/pull/21712 | 337,727,972 | MDExOlB1bGxSZXF1ZXN0MTk4ODM3MDIy | 21,712 | Move Unchanged arith methods to EA mixins | {
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"followers_url": "https://api.github... | 3 | 2018-07-03T02:55:46Z | 2018-07-06T14:37:01Z | 2018-07-03T23:40:09Z | MEMBER | null | Next steps after #19902. Breaking these up into smaller pieces than usual because I don't know what bits will prove controversial.
All this PR does is take a few of the easiest no-changes-needed methods and moved them to the EA mixins.
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"color": "AD7... | closed | false | null | [] | null | 3 | 2018-07-03T05:11:32Z | 2019-12-26T03:56:55Z | 2019-12-26T03:56:55Z | NONE | null | Proposal: expose `CategoricalDtype` in the top-level `pandas` namespace.
As of pandas 0.23.0, `.astype(..., categories=...)` raises a `FutureWarning` but `CategoricalDtype`, the recommended alternative, is still buried in `pandas.api.types`. This makes its use considerably more verbose than the old interface:
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https://api.github.com/repos/pandas-dev/pandas/issues/21714 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21714/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21714/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21714/events | https://github.com/pandas-dev/pandas/pull/21714 | 337,747,881 | MDExOlB1bGxSZXF1ZXN0MTk4ODUxNDcy | 21,714 | De-privatize tslibs functions | {
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"followers_url": "https://api.github... | 2 | 2018-07-03T05:12:23Z | 2018-07-11T20:24:22Z | 2018-07-03T14:53:57Z | MEMBER | null | Related: an item on the tslibs TODO list, #21698. | {
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Implements `_local_timestamps` on the `DatetimeArrayMixin`, since that will be needed before we can move ... | {
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```python-traceback
In [12]: np.random.seed(1234)
In [13]: df = pd.DataFrame(np.random.rand(10, 1),
index=pd.date_range(start='2018-01-01', freq='5H', periods=10))
# This call works fine
In [14]: df.groupby(pd.Grouper(freq='D')).agg(['ohlc', 'sum'])
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... | 3 | 2018-07-03T12:14:38Z | 2019-12-12T18:38:47Z | 2019-12-12T18:38:46Z | NONE | null | #### by looking on the columns you can't see wath you get, pandas 0.23.1
example with python2 string
```python
In [1]: df = pd.DataFrame()
In [2]: df['a'] = [1, 3]
In [3]: df.columns
Out[3]: Index([u'a'], dtype='object')
In [4]: print(type(df.columns[0]))
<type 'str'>
```
example with unicode
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At first I thought this is intended behaviour for `DataFrame.duplicated()`, but `Series.duplicated()` does not treat it equally. This makes sense to me, since as objec... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21721 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21721/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21721/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21721/events | https://github.com/pandas-dev/pandas/pull/21721 | 338,113,334 | MDExOlB1bGxSZXF1ZXN0MTk5MTI2OTk2 | 21,721 | implement _local_timestamps in DatetimeArrayMixin | {
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"followers_url": "https://api.github... | 1 | 2018-07-04T02:53:02Z | 2018-07-06T14:36:43Z | 2018-07-05T16:51:02Z | MEMBER | null | Broken out of #21715 because it is a blocker for a handful of orthogonal follow-ons. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21722 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21722/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21722/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21722/events | https://github.com/pandas-dev/pandas/pull/21722 | 338,119,566 | MDExOlB1bGxSZXF1ZXN0MTk5MTMxNTE2 | 21,722 | move ndarray-returning functions to EA mixin classes | {
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"followers_url": "https://api.github... | 5 | 2018-07-04T03:37:02Z | 2018-07-06T14:36:30Z | 2018-07-05T10:39:00Z | MEMBER | null | Orthogonal to other EAMixin PRs.
The methods this moves are unchanged. Docstrings changed e.g. "DatetimeIndex" to "Datetime Array/Index". I'm open to suggestions for better wording.
The error message in `PeriodArrayMixin._maybe_convert_timedelta` is changed to use `type(self).__name__` instead of hardcoding `Pe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21723 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21723/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21723/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21723/events | https://github.com/pandas-dev/pandas/pull/21723 | 338,135,281 | MDExOlB1bGxSZXF1ZXN0MTk5MTQyNzQ3 | 21,723 | Code deduplication in tz_convert and related | {
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"gists... | [] | closed | false | null | [] | null | 0 | 2018-07-04T05:32:57Z | 2018-07-04T16:10:20Z | 2018-07-04T05:37:23Z | MEMBER | null | `tz_convert_tzlocal_to_utc` and `tz_convert_utc_to_tzlocal` are identical except for a `+` changed to a `-`. This implements `_tz_convert_tzlocal_utc` which has an argument that flips the sign. IIUC because it is inlined, that check should be free.
An upcoming PR will do the same thing for the `get_dst_info` cases... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21724 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21724/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21724/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21724/events | https://github.com/pandas-dev/pandas/pull/21724 | 338,137,659 | MDExOlB1bGxSZXF1ZXN0MTk5MTQ0NDg3 | 21,724 | CLN: Delay converting bins to datetimelike until necessary | {
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"followers_url": "https://api.github... | 2 | 2018-07-04T05:48:11Z | 2018-07-04T16:04:29Z | 2018-07-04T12:50:22Z | MEMBER | null | - [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
xref #20956, `q/cut` now returns datetimelike bins when `retbins=True`. Instead of always trying to convert bins to datetimelike (even when `retbins=False`), moving the conversion to `_postprocess_for_cut` until after `r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21725 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21725/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21725/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21725/events | https://github.com/pandas-dev/pandas/issues/21725 | 338,138,542 | MDU6SXNzdWUzMzgxMzg1NDI= | 21,725 | Support multiple characters for `comment` in read_csv | {
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my code is:
```python
vcf = pd.read_table("com8-2.N85-2.merge.snp.vcf", header=0, sep="\t", comment="##")
```
and get this error:
`ValueError: Only length-1 comment characters supported`
the error means the length of comment must be one ? why not allowed for two characters ?
The python version is pyth... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21726 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21726/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21726/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21726/events | https://github.com/pandas-dev/pandas/issues/21726 | 338,214,518 | MDU6SXNzdWUzMzgyMTQ1MTg= | 21,726 | DataFrame.replace doesn't work with categorical data | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-07-04T10:10:41Z | 2018-07-04T10:58:39Z | 2018-07-04T10:58:32Z | NONE | null | #### Code Sample
```python
import pandas as pd
df = pd.DataFrame(["x", "y", "z"], dtype='category')
df.replace({"x": "y"})
```
#### Problem description
##### Current output
```
~/.local/lib/python3.6/site-packages/pandas/core/internals.py in __init__(self, values, placement, ndim, fastpath)
109 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21727 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21727/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21727/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21727/events | https://github.com/pandas-dev/pandas/pull/21727 | 338,329,448 | MDExOlB1bGxSZXF1ZXN0MTk5MjkwNTY1 | 21,727 | Implement _tz_convert_tzlocal_utc for de-duplication | {
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"followers_url": "https://api.github... | 2 | 2018-07-04T16:15:20Z | 2018-07-05T02:42:49Z | 2018-07-04T18:41:54Z | MEMBER | null | There is a bunch of code in conversion (and a bit in resolution, period, and tslib) that can be de-duplicated. This is one part of ~5 steps in that process. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21728 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21728/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21728/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21728/events | https://github.com/pandas-dev/pandas/pull/21728 | 338,329,763 | MDExOlB1bGxSZXF1ZXN0MTk5MjkwODE0 | 21,728 | misplaced scatter/hexbin subplot colorbars | {
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"followers_url": "https://api.github... | 3 | 2018-07-04T16:16:36Z | 2018-07-05T16:52:12Z | 2018-07-05T16:47:12Z | CONTRIBUTOR | null | - [x] closes #20455
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
NOTE: I have tested the following in Jupyter lab.
When I run:
```python
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
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https://api.github.com/repos/pandas-dev/pandas/issues/21729 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21729/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21729/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21729/events | https://github.com/pandas-dev/pandas/issues/21729 | 338,332,320 | MDU6SXNzdWUzMzgzMzIzMjA= | 21,729 | pd.Categorical.contains([item, otheritem]) raises ValueError | {
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```python
In [2]: idx = pd.CategoricalIndex([1, 2, 3])
In [3]: list('a') in idx
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-3-76f69ba... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21730 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21730/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21730/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21730/events | https://github.com/pandas-dev/pandas/pull/21730 | 338,360,381 | MDExOlB1bGxSZXF1ZXN0MTk5MzEyODMy | 21,730 | implement _tz_convert_dst for de-duplication | {
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"followers_url": "https://api.github... | 1 | 2018-07-04T19:18:41Z | 2018-07-06T14:30:10Z | 2018-07-06T14:12:02Z | MEMBER | null | Analogous to #21727, this handles the `get_dst_info` case whereas that handled the `tzlocal` case.
Fleshes out docstring as discussed in #21727
All the other uses of `get_dst_info` are handled _slightly_ differently. Need to figure out whether those are intentional to see if more de-duplication (or perf) is ava... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21731 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21731/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21731/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21731/events | https://github.com/pandas-dev/pandas/pull/21731 | 338,360,768 | MDExOlB1bGxSZXF1ZXN0MTk5MzEzMTEw | 21,731 | Fixes example code in docstring of pandas.DataFrame.query | {
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"followers_url": "https://api.github... | 2 | 2018-07-04T19:21:45Z | 2018-07-07T23:51:13Z | 2018-07-06T02:35:39Z | CONTRIBUTOR | null | - [ ] closes #21733
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry | {
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```python
# Building Dataframe (reused from example, the fact that it uses datetime and numpy is probably not that important)
date_range = pd.date_range(start=dt.datetime(2017,1,1), end=dt.datetime(2020,12,31), freq='W')
to_concat = []
for val in range(1,5):... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21733 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21733/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21733/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21733/events | https://github.com/pandas-dev/pandas/issues/21733 | 338,361,395 | MDU6SXNzdWUzMzgzNjEzOTU= | 21,733 | Error in docstring for pandas/core/frame.py | {
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"followers_url": "https://api.github... | 0 | 2018-07-04T19:25:55Z | 2018-07-06T02:35:39Z | 2018-07-06T02:35:39Z | CONTRIBUTOR | null | There is an error in the docstring for the query function in
`pandas/core/frame.py`.
The PR here fixes this: https://github.com/pandas-dev/pandas/pull/21731
#### Code Sample, a copy-pastable example if possible
```python
# Your code here
```
#### Problem description
[this should explain **why** the ... | {
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... | open | false | null | [] | null | 8 | 2018-07-04T19:37:21Z | 2020-09-24T00:32:26Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({
'date': pd.to_datetime('1970-01-01'),
'datetime': pd.date_range('1970-01-01', periods=5, freq='H')
})
df['date'].to_csv('/dev/stdout', index=False)
df[['date', 'datetime']].to_csv('/dev/stdout', ind... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21735 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21735/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21735/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21735/events | https://github.com/pandas-dev/pandas/pull/21735 | 338,374,697 | MDExOlB1bGxSZXF1ZXN0MTk5MzIzMTU2 | 21,735 | DOC: Add nrows to DataFrame.from_records docstring | {
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"followers_url": "https://api.github... | 2 | 2018-07-04T21:01:43Z | 2018-07-05T16:23:28Z | 2018-07-05T16:23:15Z | CONTRIBUTOR | null | - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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[v ] Searched the issues page for similar reports
[ v] Read the relevant sections of the Spyder Troubleshooting Guide and followed its advice
[v ] Reproduced the issue after updating with conda update spyder (or pip, if not using Anaconda)
[ v] Could not reproduce inside jupyter qtconsole (if... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21737 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21737/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21737/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21737/events | https://github.com/pandas-dev/pandas/issues/21737 | 338,388,057 | MDU6SXNzdWUzMzgzODgwNTc= | 21,737 | BUG: DatetimeIndex.unique shifts tz-aware dates | {
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```python
import pandas as pd
start = pd.Timestamp('2018-7-3 2:00:00', tz='America/Los_Angeles')
end = start + pd.Timedelta('36H')
a = pd.DatetimeIndex(start=start, end=end, freq='12H')
a.normalize().unique()
```
#### Problem description
The normalize... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21738 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21738/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21738/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21738/events | https://github.com/pandas-dev/pandas/pull/21738 | 338,388,569 | MDExOlB1bGxSZXF1ZXN0MTk5MzMyODU1 | 21,738 | Implement tslibs.__init__, move easy bits of tslib | {
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"followers_url": "https://api.github... | 1 | 2018-07-04T23:14:38Z | 2018-07-06T14:04:00Z | 2018-07-05T10:42:46Z | MEMBER | null | Easy answers to where `tslib.ints_to_pytimedelta` and `tslib.normalize_date` belong, so this moves those.
Starts populating the `tslibs.__init__` namespace; leaves updating imports for later.
Cleans up a couple of unnecessary imports elsewhere. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21739 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21739/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21739/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21739/events | https://github.com/pandas-dev/pandas/pull/21739 | 338,396,238 | MDExOlB1bGxSZXF1ZXN0MTk5MzM4MTYw | 21,739 | CLN/TST: Cleanup tests in test_ujson.py | {
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"followers_url": "https://api.github... | 4 | 2018-07-05T00:48:06Z | 2018-07-05T22:38:38Z | 2018-07-05T22:17:11Z | MEMBER | null | * Actually test the outputs
* Add more parameterization
* Take advantage of `pytest` features, such as exception contexts
This test module really needed an update 😄 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21740 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21740/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21740/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21740/events | https://github.com/pandas-dev/pandas/pull/21740 | 338,398,049 | MDExOlB1bGxSZXF1ZXN0MTk5MzM5Mzg5 | 21,740 | CLN: Remove Legacy MultiIndex Index Compatibility | {
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"followers_url": "https://api.github... | 11 | 2018-07-05T01:06:55Z | 2018-07-27T12:18:00Z | 2018-07-27T11:33:16Z | CONTRIBUTOR | null | - [x] closes #21654
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] what's new - removing legacy MultiIndex internal formats | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21741 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21741/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21741/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21741/events | https://github.com/pandas-dev/pandas/issues/21741 | 338,474,799 | MDU6SXNzdWUzMzg0NzQ3OTk= | 21,741 | Dimension mismatch when reading categorical HDF5 column with weird NaN encoding | {
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... | 5 | 2018-07-05T08:29:21Z | 2019-10-21T19:34:22Z | null | NONE | null | Hi guys, I got a crash reading an HDF5 file with a message "ValueError: operands could not be broadcast together with shapes (171285,) (15,) (171285,)" (stack trace below).
I think the problem arises whenever reading a categorical column via pytables where NaN is stored as one of the categories (rather than a specia... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21742 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21742/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21742/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21742/events | https://github.com/pandas-dev/pandas/issues/21742 | 338,476,404 | MDU6SXNzdWUzMzg0NzY0MDQ= | 21,742 | Merge() without a common column (LARGE DATASET, so no fake_key=1) | {
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"default"... | closed | false | null | [] | null | 4 | 2018-07-05T08:33:58Z | 2018-08-11T16:19:31Z | 2018-08-11T16:19:18Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
#RIPE FEATURES
start_decimal_ip end_decimal_ip isSL ... isSUBNET isINTERNET isISP
0 621457152 621457663 1 ... 0 1 0
1 3273214112 3273214143 0 ... 0 0 0
2 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21743 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21743/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21743/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21743/events | https://github.com/pandas-dev/pandas/issues/21743 | 338,484,176 | MDU6SXNzdWUzMzg0ODQxNzY= | 21,743 | dataframe drop_duplicates method | {
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if os.path.exists(historyFile):
df = pd.read_csv(historyFile)
newDf = getDailyMpOrder(mysqlCon,checkDate)
df = pd.concat([df,newDf])
df = df.drop_duplicates()
else:
checkDate = "20180101"
df = getDailyMpOrder(mysqlCon,checkDate)
##... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21744 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21744/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21744/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21744/events | https://github.com/pandas-dev/pandas/pull/21744 | 338,534,049 | MDExOlB1bGxSZXF1ZXN0MTk5NDM5Mjg3 | 21,744 | TST: catch warnings for to_hierarchical deprecation | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21745 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21745/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21745/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21745/events | https://github.com/pandas-dev/pandas/pull/21745 | 338,587,366 | MDExOlB1bGxSZXF1ZXN0MTk5NDc5OTg3 | 21,745 | DOC: Update documentation with correct link | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21746 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21746/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21746/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21746/events | https://github.com/pandas-dev/pandas/issues/21746 | 338,614,288 | MDU6SXNzdWUzMzg2MTQyODg= | 21,746 | test_info_repr failing locally | {
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```
def test_info_repr(self):
max_rows = 60
max_cols = 20
# Long
h, w = max_rows + 1, max_cols - 1
df = DataFrame({k: np.arange(1, 1 + h) for k in np.arange(w)})
assert has_vertically_truncated_repr(df)
with option_context('display.large_repr'... | {
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... | closed | false | null | [] | null | 3 | 2018-07-05T16:54:23Z | 2020-04-24T09:50:57Z | 2020-04-23T23:22:37Z | MEMBER | null | http://pandas-docs.github.io/pandas-docs-travis/io.html#parquet is a bit outdated, we should investigate a bit the current state of what support there is in pyarrow and fastparquet | {
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... | closed | false | null | [] | null | 2 | 2018-07-05T17:38:01Z | 2018-07-07T17:25:49Z | 2018-07-07T17:14:19Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
from io import StringIO
import pandas as pd
import tempfile
s = StringIO()
# TemporaryFile fails for other reasons, but seems to be covered in pandas-dev/pandas#21471
with tempfile.NamedTemporaryFile('w+') as f:
for df in (pd.DataFrame({'a': ... | {
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- [ ] ./pandas/plotting/_converter.py|134 col 17| ">>> from pandas.plotting import register_matplotlib_converters"
- [ ] pandas/plotting/_misc.py|501 col 5| >>> from pandas import read_csv
- [ ] pandas/plotting/_misc.py|502 col 5| >>>... | {
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"followers_url": "https://api.github... | 2 | 2018-07-05T19:05:13Z | 2018-07-05T21:56:03Z | 2018-07-05T21:55:56Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
import pandas as pd
import numpy as np
np.random.seed(123)
df = pd.DataFrame({"test-a" : {0 : "a", 1 : "b", 2 : "c"},
"test-b" : {0 : "d", 1 : "e", 2 : "f"},
"test-c" : {0 : 2.5, 1 : 1.2, 2 : .7},
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https://api.github.com/repos/pandas-dev/pandas/issues/21755 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21755/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21755/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21755/events | https://github.com/pandas-dev/pandas/issues/21755 | 338,765,782 | MDU6SXNzdWUzMzg3NjU3ODI= | 21,755 | Some groupby methods keep null grouping keys | {
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... | open | false | null | [] | null | 7 | 2018-07-06T00:21:40Z | 2019-03-04T22:47:10Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({'A': ['a','b',None,'a','b',None], 'B': range(6)})
df.groupby('A').sum() # output has two rows
df.groupby('A').first() # output has two rows
df.groupby('A').head(1) # output has three rows, one for the null group
df.groupby('A').... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21756 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21756/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21756/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21756/events | https://github.com/pandas-dev/pandas/pull/21756 | 338,815,336 | MDExOlB1bGxSZXF1ZXN0MTk5NjUyNTk2 | 21,756 | TST: Remove check_exact from assert_almost_equal | {
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"followers_url": "https://api.github... | 1 | 2018-07-06T06:01:21Z | 2018-07-06T22:55:24Z | 2018-07-06T14:07:27Z | MEMBER | null | From a semantic point of view, if you're checking for approximate equality, there shouldn't be a parameter that allows you to disable the whole purpose of the function. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21757 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21757/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21757/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21757/events | https://github.com/pandas-dev/pandas/pull/21757 | 338,837,530 | MDExOlB1bGxSZXF1ZXN0MTk5NjY4OTA1 | 21,757 | DOC: Fix typos in Series.idxmin/idxmax docs | {
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"followers_url": "https://api.github... | 1 | 2018-07-06T07:41:22Z | 2018-07-06T14:27:35Z | 2018-07-06T14:27:32Z | CONTRIBUTOR | null | - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/21758 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21758/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21758/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21758/events | https://github.com/pandas-dev/pandas/issues/21758 | 338,859,511 | MDU6SXNzdWUzMzg4NTk1MTE= | 21,758 | Importing pandas changes return value of sys.getsizeof? | {
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"de... | open | false | null | [] | null | 8 | 2018-07-06T08:57:34Z | 2021-06-20T05:14:00Z | null | NONE | null | #### Code Sample
```
a = "a"
import sys
print(sys.getsizeof(a))
import pandas
print(sys.getsizeof(a))
```
#### Problem description
When I run the above code sample, I get output like this:
```
Python 3.5.5 |Anaconda, Inc.| (default, May 13 2018, 21:12:35)
[GCC 7.2.0] on linux
Type "help", "copyright",... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21759 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21759/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21759/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21759/events | https://github.com/pandas-dev/pandas/pull/21759 | 338,866,591 | MDExOlB1bGxSZXF1ZXN0MTk5NjkwNjgw | 21,759 | Fix whatsnew dates | {
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] | closed | false | null | [] | null | 0 | 2018-07-06T09:19:38Z | 2018-07-09T08:22:08Z | 2018-07-06T13:57:33Z | CONTRIBUTOR | null | Up to v0.23.0, there's always a date in the whatsnew-entries. This adds them back to v0.23.1 & v0.23.2, as well as a blank template for v0.24.0.
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https://api.github.com/repos/pandas-dev/pandas/issues/21760 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21760/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21760/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21760/events | https://github.com/pandas-dev/pandas/issues/21760 | 338,870,654 | MDU6SXNzdWUzMzg4NzA2NTQ= | 21,760 | MemoryError: While reading csv file | {
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```python
# Your code here
import pandas as pd
data = pd.read_csv("stochastic_data_2015.01.01 00_00_.csv",encoding = "utf-16", header = 0,sep="\t")
data.head(10)
```
The file size is: 27 GB. The RAM I have is 8 GB with 250 GB SSD hard disk on Windows 10.
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https://api.github.com/repos/pandas-dev/pandas/issues/21761 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21761/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21761/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21761/events | https://github.com/pandas-dev/pandas/issues/21761 | 338,877,192 | MDU6SXNzdWUzMzg4NzcxOTI= | 21,761 | Error while deleting/dropping a series/dataframe entry with timezone aware timestamps. | {
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"followers_url": "https://api.github... | 7 | 2018-07-06T09:52:09Z | 2018-11-04T15:16:56Z | 2018-11-04T15:16:56Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
start = pd.Timestamp('20170101', tz='Europe/Berlin')
end = pd.Timestamp('20180101', tz='Europe/Berlin')
index = pd.date_range(start, end, freq='15min')
data = [1 for x in range(len(index))]
series = pd.Series(index=index, data=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21762 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21762/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21762/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21762/events | https://github.com/pandas-dev/pandas/issues/21762 | 338,892,042 | MDU6SXNzdWUzMzg4OTIwNDI= | 21,762 | pd.Timedelta() cannot process offset alias T while pd.infer_freq() return this format. | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 1 | 2018-07-06T10:41:17Z | 2018-11-06T03:27:30Z | 2018-11-06T03:27:30Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
series = pd.Series([1, 2, 3], pd.date_range('201701010000', '201701010030', freq='15min'))
print(pd.infer_freq(series.index))
# Error
pd.Timedelta(pd.infer_freq(series.index))
# While this works
pd.Timedelta(series.index.freq)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21763 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21763/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21763/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21763/events | https://github.com/pandas-dev/pandas/issues/21763 | 338,952,737 | MDU6SXNzdWUzMzg5NTI3Mzc= | 21,763 | TST: unreliable parser test | {
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"followers_url": "https://api.github... | 4 | 2018-07-06T14:06:55Z | 2018-07-08T22:10:15Z | 2018-07-08T22:10:15Z | CONTRIBUTOR | null | this test is somehow non-deterministic and occasionally fails with a ``ResourceWarning``: https://circleci.com/gh/pandas-dev/pandas/15501#tests/containers/3
not really sure if this is a red-herring of something else
```
self = <pandas.tests.io.parser.test_parsers.TestPythonParser object at 0x7f90482356a0>
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https://api.github.com/repos/pandas-dev/pandas/issues/21764 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21764/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21764/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21764/events | https://github.com/pandas-dev/pandas/pull/21764 | 338,959,228 | MDExOlB1bGxSZXF1ZXN0MTk5NzYyODc1 | 21,764 | Followup to #21738 | {
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"followers_url": "https://api.github... | 2 | 2018-07-06T14:25:22Z | 2018-07-06T17:26:39Z | 2018-07-06T16:18:47Z | MEMBER | null | Addresses comments/requests from #21738. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21765 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21765/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21765/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21765/events | https://github.com/pandas-dev/pandas/issues/21765 | 338,973,470 | MDU6SXNzdWUzMzg5NzM0NzA= | 21,765 | KeyError for crosstab on Series with same name - Still an issue in v0.23.1 | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-07-06T15:05:37Z | 2018-07-06T16:30:09Z | 2018-07-06T16:29:53Z | CONTRIBUTOR | null | #### Code Sample
```python
s1 = pd.Series([1,1,2,2,3,3], name='s')
s2 = pd.Series([1,1,1,2,2,2], name='s')
pd.crosstab(s1, s2)
```
**Return:**
Short version:
> ValueError: Duplicated level name: "s", assigned to level 1, is already used for level 0.
Long version:
<details>
```
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... | 0 | 2018-07-06T15:31:28Z | 2018-07-07T14:12:59Z | null | CONTRIBUTOR | null | let's make a separate section in the docs where where highlite the time-series nature of these ops (e.g. that they operate on the index), maybe attached to the partial string indexing section
- [ ] ``truncate``
- [ ] ``at_time``
- [ ] ``between_time``
- [ ] ``first``
- [ ] ``last``
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"followers_url": "https://api.github... | 4 | 2018-07-06T15:53:56Z | 2018-08-01T22:12:54Z | 2018-08-01T22:12:54Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas
def test_categorical_from_codes():
"Demonstrate issue with pandas.Categorical.from_codes."
codes = pandas.Series([1, 2, float('NaN')])
categories = ['foo', 'bar', 'baz']
c = pandas.Categorical.from_codes(codes, ca... | {
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```python
import numpy as np
import os
import pandas as pd
# put test.csv in same folder as script
mydir = os.path.dirname(os.path.abspath(__file__))
csv_path = os.path.join(mydir, "test.csv")
df = pd.read_table(csv_path, sep=' ',
comment='#',
header=None,
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- [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/21770 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21770/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21770/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21770/events | https://github.com/pandas-dev/pandas/issues/21770 | 338,996,243 | MDU6SXNzdWUzMzg5OTYyNDM= | 21,770 | Too generic Exception in multindex reindex raise statement | {
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"followers_url": "https://api.github... | 4 | 2018-07-06T16:17:16Z | 2018-07-07T14:16:29Z | 2018-07-07T14:16:29Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd, numpy as np
idx = pd.MultiIndex.from_tuples([(0, 0), (1, 1), (1, 1), (2, 2)])
a = pd.Series(np.arange(4), index=idx)
new_idx = pd.MultiIndex.from_tuples([(0, 0), (1, 1), (2, 2)])
a.reindex(new_idx)
```
```python-traceback
(.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21774 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21774/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21774/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21774/events | https://github.com/pandas-dev/pandas/pull/21774 | 339,006,715 | MDExOlB1bGxSZXF1ZXN0MTk5Nzk5MTE4 | 21,774 | Changed import statements in examples in DOCs | {
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- [ ] closes #xxxx
- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/21775 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21775/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21775/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21775/events | https://github.com/pandas-dev/pandas/pull/21775 | 339,010,355 | MDExOlB1bGxSZXF1ZXN0MTk5ODAxNzk4 | 21,775 | Fix categorical from codes nan 21767 | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/21776 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21776/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21776/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21776/events | https://github.com/pandas-dev/pandas/pull/21776 | 339,011,700 | MDExOlB1bGxSZXF1ZXN0MTk5ODAyNjY5 | 21,776 | Move methods and properties to EA Mixin classes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21777 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21777/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21777/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21777/events | https://github.com/pandas-dev/pandas/issues/21777 | 339,035,936 | MDU6SXNzdWUzMzkwMzU5MzY= | 21,777 | DataFrame iloc mutates array or Series indexer with negative index value | {
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```python
import pandas as pd
df = pd.DataFrame({'a': [10, 20, 30]})
# with list indexer, iloc works as expected
L = [-1, 0, 1]
df.iloc[L]
assert L == [-1, 0, 1]
# with Series indexer, iloc mutates the Series!
s = pd.Series(L)
df.iloc[s]
assert (s ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21779 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21779/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21779/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21779/events | https://github.com/pandas-dev/pandas/pull/21779 | 339,048,325 | MDExOlB1bGxSZXF1ZXN0MTk5ODI5NTQw | 21,779 | TST: Add more information for unexpected warnings | {
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This will be useful for uncovering the problematic files (hopefully) if / when #21763 rears its head. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21780 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21780/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21780/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21780/events | https://github.com/pandas-dev/pandas/pull/21780 | 339,072,279 | MDExOlB1bGxSZXF1ZXN0MTk5ODQ4MDk3 | 21,780 | Replaces Exceptions with ValueError in MultiIndex, closes #21770 | {
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(For the comparison ops there is some super jujitsu that needs to be un-wound, so will do that separately) | {
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So, why `data` in `DataFrame(data)` can't be an `Iterable`?
https://github.com/pandas-dev/pandas/blob/620abc403d371446afe38fc1e63f0d90ea27b80a/pandas/core/frame.py#L381-L383
https:/... | {
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"description": "Internal Consistency ... | open | false | null | [] | null | 1 | 2018-07-07T08:09:36Z | 2020-09-21T17:26:12Z | null | MEMBER | null | I think we need a doc section which states what is accepted as list-like: each method which accepts list-likes would then link to that doc section.
This will basically detail the types for which ``pandas.core.dtypes.common.is_list_like`` returns ``True``, with the only exception of ``tuple``, which we should _not_ d... | {
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However, I'm seeing compila... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21786 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21786/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21786/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21786/events | https://github.com/pandas-dev/pandas/issues/21786 | 339,139,864 | MDU6SXNzdWUzMzkxMzk4NjQ= | 21,786 | .rolling().std() only returns NaN in Python3.7 | {
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import pandas as pd
d = {"col": [1, 23, 231, 231, 4, 353, 62, 3, 56, 43, 354, 43, 231, 21, 7]}
df = pd.DataFrame(data=d)
std = df["col"].std()
df["mean5"] = df["col"].rolling(5).mean()
df["std5"] = df["col"].rolling(5).std()
print(std)
print(df[["mean5", "std5"]])
# OUTPUT
130.20855066648528
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... | open | false | null | [] | null | 1 | 2018-07-07T15:37:02Z | 2021-06-20T05:15:31Z | null | MEMBER | null | One a DataFrameGroupBy object, you can already select some of the columns you want to apply your functions on, but apart from that, I would not expect it to influence the output structure:
```
In [56]: df = pd.DataFrame({'A' : ['foo', 'bar', 'foo', 'bar'],
...: 'B' : np.random.randn(4),
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... | 1 | 2018-07-07T16:06:49Z | 2019-12-17T17:54:47Z | 2019-12-17T17:54:46Z | CONTRIBUTOR | null | xref #18347
the case for using ``add_suffix/add_prefix`` is either:
1. modify the column labels (can use ``.str.columns + ....``
2. concat with annotation lables from there source frames (and not using a MultiIndex)
so this is an issue about adding support for 2., similar to the way ``pd.merge`` suffixes work... | {
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```python
import fletcher as fr
import pandas as pd
df_ext = pd.DataFrame({'a': fr.FletcherArray([1, 2])})
df_ext.info()
# <class 'pandas.core.frame.DataFrame'>
# RangeIndex: 2 entries, 0 to 1
# Data columns (total 1 columns):
# a 2 non-null fletcher[int64]
# dtypes: fletcher[int64](1)... | {
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idx = pd.period_range('2016', periods=3, freq='M')
>>> idx == idx.values
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/site-packages/pandas/core/indexes/period.py", line 107, in wrapper
other = Period(other, freq=self.freq)
File "pandas/_lib... | {
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This follows NumPy's behavior, but is maybe not what the user wants
```python
In [18]: pd.core.arrays.IntegerArray([-1, 2, 3], dtype=pd.core.arrays.integer.UInt16Dtype)
Out[18]: IntegerArray([65535, 2, 3], dtype='UInt16')
```
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"followers_url": "https://api.github... | 1 | 2018-07-07T19:57:08Z | 2018-07-07T21:24:28Z | 2018-07-07T21:21:38Z | MEMBER | null | PeriodIndex comparisons turn out to be easier to move than the others (though partly because ATM they are broken: #21793), so this moves them over first.
Following that, most of the remaining PeriodArray arithmetic methods require `shift`, which in turns requires the constructors, so I went ahead and implemented tho... | {
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- [x] closes #8839
- [x] tests added / passed
Axis parameter added to between_time and at_time, defaults to index for DataFrame
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https://api.github.com/repos/pandas-dev/pandas/issues/21801 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21801/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21801/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21801/events | https://github.com/pandas-dev/pandas/issues/21801 | 339,178,340 | MDU6SXNzdWUzMzkxNzgzNDA= | 21,801 | API: argsort behaviour for ExtensionArray with missing values | {
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This is not a huge problem because the `Series.sort_values` deals with the missing values itself (only argsorts the non-missing data), but still we should pin down and test the behaviour.
I suppose w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21802/events | https://github.com/pandas-dev/pandas/pull/21802 | 339,178,527 | MDExOlB1bGxSZXF1ZXN0MTk5OTE1NTg4 | 21,802 | CLN: Remove unused imports in pyx files | {
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Removed unused imports flagged by PyCharm. Compiled fine locally, waiting for CI to pass.
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"followers_url": "https://api.github... | 3 | 2018-07-07T22:29:31Z | 2018-07-11T20:23:47Z | 2018-07-08T12:57:11Z | MEMBER | null | Implements AttributesMixin since this is a pattern we might want to formalize.
The `_simple_new` that this implements for TimedeltaArray and DatetimeArray are pretty close to the "full" versions in the Index classes. The `__new__` methods though are very much stripped down for the now.
With these in place we get... | {
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```
In [3]: values = [1, 0.5]
...: pd.Series([1, 0]).isin(values)
...:
Out[3]:
0 True
1 True
dtype: bool
```
should be [True, False] | {
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- [] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This is a WIP as all of the tests in the groupby directory pass, but there are some outside of that which need touch ups. This is a relatively aggressive change so I figured I'd ... | {
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"followers_url": "https://api.github... | 2 | 2018-07-08T02:33:32Z | 2018-07-08T14:05:26Z | 2018-07-08T13:01:26Z | CONTRIBUTOR | null | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21809 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21809/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21809/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21809/events | https://github.com/pandas-dev/pandas/issues/21809 | 339,197,998 | MDU6SXNzdWUzMzkxOTc5OTg= | 21,809 | CategoricalIndex reidex duplicates values | {
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"followers_url": "https://api.github... | 4 | 2018-07-08T05:18:31Z | 2018-12-02T23:10:44Z | 2018-12-02T23:10:44Z | NONE | null | From [SO question](https://stackoverflow.com/q/51228928/2901002):
**Sample**:
np.random.seed(57)
idx = pd.CategoricalIndex(['low'] * 3 + ['hi'] * 3)
dfb = pd.DataFrame(np.random.rand(6, 3), columns=list('abc'), index=idx)
print (dfb)
a b c
low 0.087350 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21810 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21810/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21810/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21810/events | https://github.com/pandas-dev/pandas/issues/21810 | 339,198,267 | MDU6SXNzdWUzMzkxOTgyNjc= | 21,810 | Why does pandas Round method explodes my data frame? | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2018-07-08T05:24:45Z | 2018-07-08T21:38:13Z | 2018-07-08T12:48:01Z | NONE | null | I try to round all values in this [dataframe][1]. However, the pandas [round() method][2] explodes my dataframe from 150 rows to 7518 rows.
Perhaps there is something odd with the data in the dataframe, but then again, one would not expect a simple rounding function to do this.
Below, I replicate the error using ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21811 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21811/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21811/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21811/events | https://github.com/pandas-dev/pandas/pull/21811 | 339,227,387 | MDExOlB1bGxSZXF1ZXN0MTk5OTQyOTcz | 21,811 | Add unit test for #12813 | {
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"description": "Non-arithmetic algos: va... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 2 | 2018-07-08T13:48:15Z | 2018-07-08T17:47:13Z | 2018-07-08T14:14:25Z | CONTRIBUTOR | null | - [x] closes #12813
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
The bug was already fixed with my previous PR but this adds a fixture to a unit test to also test read-only arrays as factorize input. | {
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