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https://api.github.com/repos/pandas-dev/pandas/issues/19310 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19310/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19310/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19310/events | https://github.com/pandas-dev/pandas/issues/19310 | 289,897,800 | MDU6SXNzdWUyODk4OTc4MDA= | 19,310 | Potential bug with read_fwf | {
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"... | closed | false | null | [] | null | 4 | 2018-01-19T08:31:52Z | 2018-01-22T07:59:40Z | 2018-01-22T07:59:40Z | NONE | null | Hi,
I may have encountered a bug with read_fwf. From my files, some digits of numbers with more than 2 digits before the decimal turn to be missing, but only sometimes. I use two files to show the potential bug: [test1.txt](https://github.com/pandas-dev/pandas/files/1643703/test1.txt) and [test2.txt](https://github.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19311/events | https://github.com/pandas-dev/pandas/issues/19311 | 289,917,984 | MDU6SXNzdWUyODk5MTc5ODQ= | 19,311 | plotting in pandas is not picking the list of colors passed, it only gets the first value in bar graph | {
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```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19312 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19312/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19312/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19312/events | https://github.com/pandas-dev/pandas/issues/19312 | 289,928,292 | MDU6SXNzdWUyODk5MjgyOTI= | 19,312 | Series.nonzero(): Returns locations, not indices | {
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Documentation says
Series.nonzero(): Return the indices of the elements that are non-zero
while it actually seems to return the integer locations.
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.3.final.0
pytho... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19313 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19313/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19313/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19313/events | https://github.com/pandas-dev/pandas/issues/19313 | 290,038,149 | MDU6SXNzdWUyOTAwMzgxNDk= | 19,313 | sparse = True in pd.get_dummies triggers TypeError at further manipulation | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-01-19T16:46:15Z | 2018-01-19T18:32:18Z | 2018-01-19T18:32:13Z | NONE | null | ```python
import pandas as pd
import numpy as np
from sklearn.datasets import load_iris
iris = load_iris()
data = iris.data
column_names = iris.feature_names
df = pd.DataFrame(iris.data, columns = column_names)
print(df.head(n=5))
df_dummy = pd.get_dummies(df, sparse = True, columns = ['petal length (c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19314/events | https://github.com/pandas-dev/pandas/issues/19314 | 290,038,435 | MDU6SXNzdWUyOTAwMzg0MzU= | 19,314 | pytables._version out of date? | {
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https://github.com/pandas-dev/pandas/blob/ca2d2611c5a657720661990e2f3016356e577d1d/pandas/io/pytables.py#L56
```
# versioning attribute
_version = '0.15.2'
[...]
def set_object_info(self):
""" set my pandas type & version """
self.attrs.pandas_type = str(self.p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19315 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19315/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19315/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19315/events | https://github.com/pandas-dev/pandas/issues/19315 | 290,049,082 | MDU6SXNzdWUyOTAwNDkwODI= | 19,315 | ValueError when merging dataframes | {
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```python
import pandas as pd
df = pd.DataFrame({'Item Num': [456, 456, 340, 340, 500, 500, 520, 520, 645, 645],
'Price Type': [4,1,1,1,2,1,1,1,3,1],
'Sales Date': ['2017-12', '2018-01', '2017-12', '2018-01',
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https://api.github.com/repos/pandas-dev/pandas/issues/19316 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19316/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19316/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19316/events | https://github.com/pandas-dev/pandas/pull/19316 | 290,066,488 | MDExOlB1bGxSZXF1ZXN0MTY0MDM3NTI0 | 19,316 | Refactor core.internals into core/internals/ dir | {
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Note that git is of the opinion that the file core/internals.py was moved to core/internals/blocks.py, not sure if that matters for e.g. blame.
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https://api.github.com/repos/pandas-dev/pandas/issues/19317 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19317/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19317/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19317/events | https://github.com/pandas-dev/pandas/pull/19317 | 290,069,089 | MDExOlB1bGxSZXF1ZXN0MTY0MDM5NTA5 | 19,317 | Centralize and de-duplicate comparison and arith tests | {
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- Some "TODO: de-duplicate this with that" notes (mostly to myself)
- `TestTimedeltaIndexArithmetic.test_numeric_compat` badly needed to be split into more specific tests, so that is done here. | {
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```python
In [12]: c = pd.Series(pd.Categorical(['a'] * 1000))
In [13]: c[0]
```
we hit https://github.com/pandas-dev/pandas/blob/f0cd23ca6485940e3a6572cc4f5afdce4c3921ab/pandas/core/indexes/base.py#L2525-L2543
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https://api.github.com/repos/pandas-dev/pandas/issues/19319 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19319/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19319/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19319/events | https://github.com/pandas-dev/pandas/issues/19319 | 290,125,365 | MDU6SXNzdWUyOTAxMjUzNjU= | 19,319 | eval and query behavior on sparse dataframes | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2018-01-19T22:23:42Z | 2018-07-06T20:21:24Z | 2018-01-19T22:54:57Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
pd.DataFrame({'b': [True, pd.np.nan, True, pd.np.nan] }).to_sparse().eval('b==True')
```
outputs:
```python
Out[69]:
0 True
1 True
2
3
dtype: bool
BlockIndex
Block locations: array([0], dtype=int32)
Block lengths:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19320 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19320/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19320/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19320/events | https://github.com/pandas-dev/pandas/issues/19320 | 290,129,729 | MDU6SXNzdWUyOTAxMjk3Mjk= | 19,320 | Reduce distribution size | {
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"followers_url": "https://api.github.com/users/jre... | 3 | 2018-01-19T22:44:06Z | 2018-06-26T15:02:18Z | 2018-06-26T15:02:17Z | CONTRIBUTOR | null | xref https://github.com/conda/conda/issues/6756#issuecomment-359107467
We include a bunch of SAS, CSV, pickle, etc. files in the distributions that are only used for testing. I think these could be excluded (and the tests rewritten to skip if the files aren't present). | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19321 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19321/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19321/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19321/events | https://github.com/pandas-dev/pandas/pull/19321 | 290,150,868 | MDExOlB1bGxSZXF1ZXN0MTY0MTAxNTI0 | 19,321 | Separate test_numeric_compat into method-specific tests | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/19322 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19322/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19322/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19322/events | https://github.com/pandas-dev/pandas/issues/19322 | 290,173,348 | MDU6SXNzdWUyOTAxNzMzNDg= | 19,322 | Index division by zero not filled | {
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... | 8 | 2018-01-20T07:37:47Z | 2019-07-20T03:00:38Z | 2019-07-20T03:00:38Z | MEMBER | null | ```
idx = pd.Index(range(5))
>>> idx
Int64Index([0, 1, 2, 3, 4], dtype='int64')
>>> idx / 0
Int64Index([0, 0, 0, 0, 0], dtype='int64')
>>> idx // 0
Int64Index([0, 0, 0, 0, 0], dtype='int64')
>>> idx % 0
Int64Index([0, 0, 0, 0, 0], dtype='int64')
>>> divmod(idx, 0)
(Int64Index([0, 0, 0, 0, 0], dtype... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19323 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19323/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19323/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19323/events | https://github.com/pandas-dev/pandas/pull/19323 | 290,182,689 | MDExOlB1bGxSZXF1ZXN0MTY0MTIxOTQ4 | 19,323 | 0.22.x | {
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- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/19324 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19324/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19324/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19324/events | https://github.com/pandas-dev/pandas/pull/19324 | 290,199,357 | MDExOlB1bGxSZXF1ZXN0MTY0MTMxNjM2 | 19,324 | DOC: Improve docs (GH19312) for Series.nonzero() | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19325 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19325/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19325/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19325/events | https://github.com/pandas-dev/pandas/issues/19325 | 290,200,104 | MDU6SXNzdWUyOTAyMDAxMDQ= | 19,325 | one group run twice when use .apply() function | {
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```python
# Your code here
import pandas as pd
df = pd.DataFrame({'animal': 'cat dog cat fish dog cat cat'.split(),'size': list('SSMMMLL'),'weight': [8, 10, 11, 1, 20, 12, 12],'adult' : [False] * 5 + [True] * 2})
gb = df.groupby(['animal'])
def GrowUp(x):
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https://api.github.com/repos/pandas-dev/pandas/issues/19326 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19326/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19326/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19326/events | https://github.com/pandas-dev/pandas/pull/19326 | 290,232,275 | MDExOlB1bGxSZXF1ZXN0MTY0MTUxMTc0 | 19,326 | BUG: Crosstab bug in #18321 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Fixing bug in #18321
The bug is because the function `df.pivot_table` tries to remove only the top level of the column in crosstab data frame. When the series names are tupples, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19327 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19327/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19327/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19327/events | https://github.com/pandas-dev/pandas/pull/19327 | 290,232,394 | MDExOlB1bGxSZXF1ZXN0MTY0MTUxMjQy | 19,327 | BUG: Concatentation of TZ-aware dataframes (#12396) (#18447) | {
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closes #18447
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https://api.github.com/repos/pandas-dev/pandas/issues/19328 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19328/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19328/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19328/events | https://github.com/pandas-dev/pandas/pull/19328 | 290,236,708 | MDExOlB1bGxSZXF1ZXN0MTY0MTUzODA4 | 19,328 | small cleanups aggregated | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/19329 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19329/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19329/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19329/events | https://github.com/pandas-dev/pandas/pull/19329 | 290,249,674 | MDExOlB1bGxSZXF1ZXN0MTY0MTYxMzE2 | 19,329 | Change IntervalIndex set-ops error code type | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Set operations (union, difference...) on ``IntervalIndex`` with incompatible index types will now raise a ``TypeError`` rather than a ``ValueError``.
This PR is needed to make ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19330 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19330/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19330/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19330/events | https://github.com/pandas-dev/pandas/pull/19330 | 290,274,771 | MDExOlB1bGxSZXF1ZXN0MTY0MTc2MzI1 | 19,330 | BUG: DatetimeIndex(tz) & single column name, return empty df (GH19157) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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This issue is due to self._init_dict({0: values}, index, columns, dtype=dtype) will call for the filtering if columns passed (`data = {k: v for k, v in compat.iteritems(data) i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19331 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19331/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19331/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19331/events | https://github.com/pandas-dev/pandas/pull/19331 | 290,282,628 | MDExOlB1bGxSZXF1ZXN0MTY0MTgxMTU5 | 19,331 | TST: Clean up json/test_compression.py | {
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Use new ``decompress_file`` utility and compression fixture to clean up json compression tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19332 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19332/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19332/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19332/events | https://github.com/pandas-dev/pandas/pull/19332 | 290,299,026 | MDExOlB1bGxSZXF1ZXN0MTY0MTkwODM1 | 19,332 | Refactor test_parquet.py to use check_round_trip at module level | {
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Iteration upon work that was done for https://github.com/pandas-dev/pandas/pull/19135#issuecomment-358161165
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https://api.github.com/repos/pandas-dev/pandas/issues/19333 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19333/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19333/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19333/events | https://github.com/pandas-dev/pandas/pull/19333 | 290,308,809 | MDExOlB1bGxSZXF1ZXN0MTY0MTk2NjMx | 19,333 | Fix Index __mul__-like ops with timedelta scalars | {
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```
idx = pd.Index(range(3))
td = pd.Timedelta(days=1)
>>> idx * td
TypeError: can only perform ops with timedelta like values
>>> td * idx
TypeError: can only perform ops with timedelta l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19336 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19336/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19336/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19336/events | https://github.com/pandas-dev/pandas/pull/19336 | 290,320,592 | MDExOlB1bGxSZXF1ZXN0MTY0MjAzNzg3 | 19,336 | separate numeric tests so we can isolate division by zero | {
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"followers_url": "https://api.github.com/users/j... | 8 | 2018-01-22T00:21:09Z | 2018-02-08T14:14:13Z | 2018-02-08T11:28:55Z | MEMBER | null | The upcoming fix(es) for #19322 are going to involve parametrizing a bunch of variants of division by zero. This separates out the existing test cases into method-specific tests, some of which will be parametrized in upcoming PRs.
This PR does not change the aggregate contents of the tests. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19337 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19337/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19337/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19337/events | https://github.com/pandas-dev/pandas/issues/19337 | 290,336,105 | MDU6SXNzdWUyOTAzMzYxMDU= | 19,337 | Docs: broken groupby.GroupBy.apply example | {
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... | 1 | 2018-01-22T02:50:25Z | 2018-07-21T17:00:32Z | 2018-07-21T17:00:32Z | NONE | null | #### Sample
Copied directly from [pandas-docs-travis](https://pandas-docs.github.io/pandas-docs-travis/generated/pandas.core.groupby.GroupBy.apply.html):
```python
import pandas as pd
df = pd.DataFrame({'A': 'a a b'.split(), 'B': [1,2,3], 'C': [4,6, 5]})
g = df.groupby('A')
# ValueError
g.apply(lambda x: x / x... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19338 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19338/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19338/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19338/events | https://github.com/pandas-dev/pandas/pull/19338 | 290,341,248 | MDExOlB1bGxSZXF1ZXN0MTY0MjE2NTc2 | 19,338 | remove BlockManager.reindex | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/19339 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19339/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19339/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19339/events | https://github.com/pandas-dev/pandas/pull/19339 | 290,343,859 | MDExOlB1bGxSZXF1ZXN0MTY0MjE4Mjk1 | 19,339 | ENH: Add dtype parameter to IntervalIndex constructors and deprecate from_intervals | {
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- [X] closes #19263
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Summary:
- Added support for a `dtype` parameter to all IntervalIndex constructors
- Allows users to override the inferred dtype
- Deprecated `Interva... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19340 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19340/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19340/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19340/events | https://github.com/pandas-dev/pandas/issues/19340 | 290,366,975 | MDU6SXNzdWUyOTAzNjY5NzU= | 19,340 | dataframe plot method throws an error | {
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```python
import pandas as pd
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
ts = ts.cumsum()
ts.plot()
```
#### Problem description
Getting... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19341 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19341/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19341/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19341/events | https://github.com/pandas-dev/pandas/pull/19341 | 290,414,412 | MDExOlB1bGxSZXF1ZXN0MTY0MjY4ODY2 | 19,341 | MAINT: Remove pytest.warns in tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19342 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19342/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19342/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19342/events | https://github.com/pandas-dev/pandas/issues/19342 | 290,478,071 | MDU6SXNzdWUyOTA0NzgwNzE= | 19,342 | Series constructor doesn't validate / reindex categorical | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-01-22T14:11:04Z | 2018-03-06T13:32:20Z | 2018-03-06T13:32:19Z | CONTRIBUTOR | null | ```python
In [1]: import pandas as pd
In [2]: c = pd.Series(pd.Categorical(['a', 'a']), index=[0, 1, 2])
In [3]: c
Out[3]:
0 a
1 a
2
dtype: category
Categories (1, object): [a]
In [4]: len(c)
Out[4]: 3
In [5]: len(c.values)
Out[5]: 2
```
This should probably raise. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19343 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19343/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19343/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19343/events | https://github.com/pandas-dev/pandas/issues/19343 | 290,479,827 | MDU6SXNzdWUyOTA0Nzk4Mjc= | 19,343 | Series[categorical].align materializes the array of values | {
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... | 1 | 2018-01-22T14:16:26Z | 2018-10-23T12:26:43Z | 2018-10-23T12:26:42Z | CONTRIBUTOR | null | ```python
In [80]: c = pd.Series(pd.Categorical(['a'] * 100))
In [81]: c.align(c[:5])
```
This eventually hits:
https://github.com/pandas-dev/pandas/blob/2952fbd556e1bc4b5fac70c727652b5419e8e096/pandas/core/series.py#L2559-L2561
We should be able to just do `new_values = self.take(indexer)` for categori... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19346 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19346/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19346/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19346/events | https://github.com/pandas-dev/pandas/pull/19346 | 290,537,764 | MDExOlB1bGxSZXF1ZXN0MTY0MzYwMDA3 | 19,346 | clarify redirection in ops | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19347 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19347/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19347/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19347/events | https://github.com/pandas-dev/pandas/pull/19347 | 290,554,037 | MDExOlB1bGxSZXF1ZXN0MTY0MzcxOTQ0 | 19,347 | fix and test index division by zero | {
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```python
In [2]: pd.CategoricalIndex([1,2,3], asdasdsa=None)
Out[2]: CategoricalIndex([1, 2, 3], categories=[1, 2, 3], ordered=False, dtype='category')
In [3]: pd.PeriodIndex(['2012'], freq='Y', asdsadsa=None)
Out[3]: PeriodIndex(['2012'], dtype='period[A-... | {
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... | 3 | 2018-01-22T20:09:52Z | 2020-09-22T03:37:02Z | null | CONTRIBUTOR | null | This one is a bit complex to explain, but I'll do my best.
Currently ``IntervalIndex.get_indexer`` fails if the other index doesn't contain ``Interval`` only (there's also another bug, but let's keep it simple here).
The underlying issue is that ``IntervalIndex.get_indexer`` depends on ``IntervalIndex.get_loc`` ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19350 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19350/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19350/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19350/events | https://github.com/pandas-dev/pandas/pull/19350 | 290,606,720 | MDExOlB1bGxSZXF1ZXN0MTY0NDEwMjUw | 19,350 | TST: Clean up pickle compression tests | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2018-01-22T20:37:09Z | 2018-01-24T10:06:52Z | 2018-01-24T10:06:44Z | CONTRIBUTOR | null | xref #19226
Move compression fixture to top-level ``conftest.py``
Clean-up compression tests in ``pandas/tests/io/test_pickle.py`` and add zip to the ``decompress_file`` testing utility
Make some minor adjustments to the json and csv compression tests to skip zip compression when it's not valid
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https://api.github.com/repos/pandas-dev/pandas/issues/19351 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19351/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19351/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19351/events | https://github.com/pandas-dev/pandas/issues/19351 | 290,609,320 | MDU6SXNzdWUyOTA2MDkzMjA= | 19,351 | Unstack throws when run on subset of DataFrame | {
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Consider the following three cases:
```python
df1 = pd.DataFrame([
[1, 1, None, None, 30.0, None],
[2, 2, None, None, 30.0, None],
], columns=[u'ix1', u'ix2', u'col1', u'col2', u'col3', u'col4',]).set_index([u'ix1', 'ix2'])
df1.iloc[1:2].unstack('ix2')
df2 = pd.DataFrame... | {
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I converted the timezone using this code:
```
import pandas as pd
import matplotlib.pyplot as plt
#2016-10-20 03:43:11+00:00
tweets_df = pd.read_csv('valid_tweets.csv')
tweets_df['Time'] = pd.Index(pd.to_datetime(tweets_df['Time'], utc=True)).tz_localize('UTC').tz_convert('US/Eastern')
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This PR add a 'exact' option to the parameter ``method`` on ``IntervalIndex.get_loc`` for accepting exact matches only.
In addition to it's direct advantage, it will later ma... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-01-22T21:54:44Z | 2021-05-28T19:13:58Z | 2021-05-28T19:13:58Z | CONTRIBUTOR | null | ```ipython
$ ipython3
Python 3.6.3 (default, Oct 3 2017, 21:45:48)
Type 'copyright', 'credits' or 'license' for more information
IPython 6.2.1 -- An enhanced Interactive Python. Type '?' for help.
In [1]: import pandas as pd
In [2]: df = pd.DataFrame({'A': [1, 1, 2], 'B': [1, 2, 3]})
In [3]: df.groupby('... | {
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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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```python
import pandas as pd
pd.__version__
Out[1]: '0.22.0'
data = pd.Series([-9.0, 0.0])
data.isin([-9, -0.5])
Out[2]:
0 True
1 False
dtype: bool
data = pd.Series([-9, 0])
data.isin([-9, -0.5])
Out[3]:
0 True
1 True
dtype:... | {
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https://pandas.pydata.org/pandas-docs/stable/style.html
on top
> New in version 0.17.1
>
> Provisional: This is a new feature and still under development. We’ll be adding features and possibly making breaking changes in future releases. We’d love to hear your feedback.
>
> This do... | {
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```python
# Your code here
# the code is from the example of styling with a little modification(add a rasie in function highlight_max, to see if the function is called or not(the result is NOT)
# https://pandas.pydata.org/pandas-docs/stable/style.html
imp... | {
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... | 9 | 2018-01-23T02:58:44Z | 2019-07-29T18:24:24Z | 2019-07-29T18:24:23Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
from pandas import Series, DataFrame
from dateutil.parser import parse
def transform(x):
return Series( {
'time': parse("22:05 UTC+1"),
'title': 'remove this "title" to remove the error, or remove timezone'
} )
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-01-23T04:42:09Z | 2018-02-11T21:59:35Z | 2018-01-24T01:03:40Z | MEMBER | null | Miscellaneous cleanup, use `util.is_array` instead of `isinstance`, that kind of thing.
- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Not identical, comments suggest the tokenizer.c version may be more modern. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19362 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19362/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19362/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19362/events | https://github.com/pandas-dev/pandas/issues/19362 | 290,853,925 | MDU6SXNzdWUyOTA4NTM5MjU= | 19,362 | BUG: indexing with monotonic decreasing DTI | {
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Here's what I'm trying to do:
```python
data1 = data.head()
date_list = ["2018-01-02", "2017-02-10","2016-03-10", "2015-03-15", "2014-03-16"]
date_in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19363 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19363/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19363/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19363/events | https://github.com/pandas-dev/pandas/pull/19363 | 290,907,678 | MDExOlB1bGxSZXF1ZXN0MTY0NjI4MDcw | 19,363 | remove unused convert_sql_column | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-01-23T16:41:44Z | 2018-02-11T21:59:32Z | 2018-01-24T11:10:06Z | MEMBER | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/19364 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19364/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19364/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19364/events | https://github.com/pandas-dev/pandas/pull/19364 | 290,918,398 | MDExOlB1bGxSZXF1ZXN0MTY0NjM0ODc5 | 19,364 | Separate io helpers from _libs.lib | {
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Moved functions are cut/paste verbatim.
I'm open to a better name than io_helpers, just wanted to avoid overlap with the stdlib name "io".
Besides refactoring for its own sake, part of the goal is to get lib down the point where we can merge src/inference back into it... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19365 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19365/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19365/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19365/events | https://github.com/pandas-dev/pandas/pull/19365 | 291,073,314 | MDExOlB1bGxSZXF1ZXN0MTY0NzQ4ODcx | 19,365 | implement Timedelta mod, divmod, rmod, rdivmod, fix and test scalar methods | {
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- fixed offsets.Tick // Timedelta, Timedelta // offsets.Tick
- fixed Timedelta [+-] timedelta64 returning timedelta64 instead of Timedelta
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19366 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19366/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19366/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19366/events | https://github.com/pandas-dev/pandas/pull/19366 | 291,075,220 | MDExOlB1bGxSZXF1ZXN0MTY0NzUwMjUw | 19,366 | updated hist documentation | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19367 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19367/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19367/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19367/events | https://github.com/pandas-dev/pandas/pull/19367 | 291,075,671 | MDExOlB1bGxSZXF1ZXN0MTY0NzUwNTc4 | 19,367 | implement ABCInterval | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-01-24T03:48:45Z | 2018-02-11T21:58:30Z | 2018-01-25T01:10:11Z | MEMBER | null | Avoid python-space import in lib
- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/19368 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19368/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19368/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19368/events | https://github.com/pandas-dev/pandas/issues/19368 | 291,093,350 | MDU6SXNzdWUyOTEwOTMzNTA= | 19,368 | Python crashes when executing memory_usage(deep=True) on a sparse series | {
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```python
import pandas as pd
s = pd.Series([None])
s.to_sparse().memory_usage(deep=True)
# crashes - Kernel died, restarting
```
#### Problem description
Executing the `memory_usage(deep=True)` method on a sparse series crashes Python. (With `deep=F... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19369 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19369/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19369/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19369/events | https://github.com/pandas-dev/pandas/issues/19369 | 291,095,274 | MDU6SXNzdWUyOTEwOTUyNzQ= | 19,369 | Index.__add__ OK but __sub__ not? | {
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"followers_url": "https://api.github... | 2 | 2018-01-24T06:12:05Z | 2018-07-23T10:01:53Z | 2018-07-23T10:01:53Z | MEMBER | null | Curious about why `Index.__add__` tries does the natural thing but `Index.__sub__` raises `TypeError`.
```
def __add__(self, other):
return Index(np.array(self) + other)
def __radd__(self, other):
return Index(other + np.array(self))
__iadd__ = __add__
def __sub__(self, ot... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19370 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19370/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19370/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19370/events | https://github.com/pandas-dev/pandas/issues/19370 | 291,103,292 | MDU6SXNzdWUyOTExMDMyOTI= | 19,370 | Allow IntervalIndex constructor closed parameter to override inferred closed | {
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"followers_url": "https://api.github... | 1 | 2018-01-24T06:59:01Z | 2018-06-27T15:29:17Z | 2018-06-27T15:29:17Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
The `closed` parameter of `IntervalIndex` is currently a bit inconsistent, and it's behavior is input dependent. By my count, there are 3 different behaviors:
**1. `closed` parameter overrides the inferred `closed` when the input data is empty or purely NA**... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19371 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19371/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19371/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19371/events | https://github.com/pandas-dev/pandas/issues/19371 | 291,109,989 | MDU6SXNzdWUyOTExMDk5ODk= | 19,371 | API: Add closed to IntervalDtype | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-01-24T07:32:31Z | 2021-01-10T00:38:28Z | 2021-01-10T00:38:28Z | MEMBER | null | This was brought up by @shoyer in a different issue, and it makes sense to me
Adding `closed` to `IntervalDtype` makes sense to me, as in my mind `closed` is inherently part of the dtype. Since differing `closed` makes two `IntervalIndex` incompatible, I'd expect their dtypes to not be equal, but they currently are... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19372 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19372/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19372/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19372/events | https://github.com/pandas-dev/pandas/issues/19372 | 291,162,250 | MDU6SXNzdWUyOTExNjIyNTA= | 19,372 | More clean up of the scripts | {
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... | 11 | 2018-01-24T10:46:23Z | 2020-01-15T11:33:04Z | 2020-01-15T11:33:03Z | MEMBER | null | In #18949, scripts have been improved, to respect PEP-8, to be executable, and a description on what they do has been added to the header. But some tasks are still pending:
* Replace old string formatting with `%` by new with `.format()`
* Review which scripts are still in use or can be useful
* Review which of the ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19373 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19373/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19373/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19373/events | https://github.com/pandas-dev/pandas/pull/19373 | 291,265,220 | MDExOlB1bGxSZXF1ZXN0MTY0ODkxMjUx | 19,373 | Add CategoricalDtype to deprecated core.categorical shim | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19374 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19374/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19374/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19374/events | https://github.com/pandas-dev/pandas/issues/19374 | 291,269,579 | MDU6SXNzdWUyOTEyNjk1Nzk= | 19,374 | SparseDataFrame with dense Series or unknown type | {
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"... | closed | false | null | [] | {
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```python
import pandas
pandas.SparseDataFrame(pandas.Series())
```
#### Problem description
I've seen there are plans to SparseDataFrame. But reporting anyway.
The above code, creating a `SparseDataFrame` with a dense `Series` fails with a not very d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19375 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19375/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19375/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19375/events | https://github.com/pandas-dev/pandas/issues/19375 | 291,295,764 | MDU6SXNzdWUyOTEyOTU3NjQ= | 19,375 | NonExistentTimeError after Resample | {
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"followers_url": "https://api.github... | 2 | 2018-01-24T17:32:25Z | 2018-09-23T12:11:02Z | 2018-09-23T12:11:02Z | NONE | null | #### Code Sample
```python
import pandas as pd
import numpy as np
import pytz
index=pd.date_range('2017-03-12', '2017-03-12 1:45:00', freq='15T')
my_series = pd.Series(np.zeros(len(index)), index=index)
my_series = my_series.tz_localize('US/Pacific')
my_series.resample('900S').mean()
```
Some Version Infor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19376 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19376/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19376/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19376/events | https://github.com/pandas-dev/pandas/issues/19376 | 291,304,441 | MDU6SXNzdWUyOTEzMDQ0NDE= | 19,376 | Subclass of DataFrame losing properties on arithmetic functions like __add__ | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-01-24T18:00:05Z | 2020-12-07T08:17:03Z | 2018-01-24T20:32:05Z | NONE | null | ```python
class PDMixIn(object):
@property
def _constructor(self):
return self.__class__
class DF(PDMixIn, pd.DataFrame):
_metadata = ['my_prop']
def __init__(self, *args, **kwargs):
my_prop = kwargs.pop('my_prop', 'some_prop')
super().__init__(*args, *kwargs)
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https://api.github.com/repos/pandas-dev/pandas/issues/19377 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19377/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19377/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19377/events | https://github.com/pandas-dev/pandas/pull/19377 | 291,305,713 | MDExOlB1bGxSZXF1ZXN0MTY0OTIxOTEw | 19,377 | BUG SparseDataFrame with dense Series (#19374) | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2018-01-24T18:04:21Z | 2018-01-27T01:10:47Z | 2018-01-27T01:10:16Z | MEMBER | null | - [X] closes #19374
- [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/19378 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19378/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19378/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19378/events | https://github.com/pandas-dev/pandas/issues/19378 | 291,307,677 | MDU6SXNzdWUyOTEzMDc2Nzc= | 19,378 | Feature request: write and read dtypes in csv | {
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Reading up on pandas, I thought this does the trick in the most Pythonic way:
```
import ast
import pandas as pd
# dataframe as example
df = pd.D... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19379 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19379/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19379/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19379/events | https://github.com/pandas-dev/pandas/issues/19379 | 291,312,360 | MDU6SXNzdWUyOTEzMTIzNjA= | 19,379 | DataFrame __add__ broadcasting error | {
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```
dti = pd.date_range('2016-01-01', periods=3)
tdi = pd.TimedeltaIndex(['1 Day', '2 Days', 'NaT'])
ser = pd.Series(tdi)
df = pd.DataFrame({'A': dti, 'B': tdi})
>>> df + tdi
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "pandas/core/ops.p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19380 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19380/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19380/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19380/events | https://github.com/pandas-dev/pandas/pull/19380 | 291,330,061 | MDExOlB1bGxSZXF1ZXN0MTY0OTQwMjEx | 19,380 | Remove unused from _libs.parsers | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-01-24T19:26:23Z | 2018-01-31T06:49:29Z | 2018-01-25T11:54:45Z | MEMBER | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/19381 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19381/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19381/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19381/events | https://github.com/pandas-dev/pandas/issues/19381 | 291,330,879 | MDU6SXNzdWUyOTEzMzA4Nzk= | 19,381 | DataFrame.to_dict not using python types | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2018-01-24T19:29:04Z | 2018-01-26T14:33:06Z | 2018-01-26T14:32:08Z | NONE | null | I have a dataframe that I need to convert to a `dict` and add it to another `dict` which is converted to json in the end. Unfortunately since `.to_dict()` does not use standard python types I get the following:
```TypeError: Object of type 'int32' is not JSON serializable```
My code is something like the followin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19382 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19382/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19382/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19382/events | https://github.com/pandas-dev/pandas/issues/19382 | 291,342,176 | MDU6SXNzdWUyOTEzNDIxNzY= | 19,382 | BUG: Out of bounds Timestamp does not raise exception | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2018-01-24T20:05:55Z | 2018-02-06T11:27:17Z | 2018-02-06T11:27:17Z | CONTRIBUTOR | null | An `OutOfBoundsDatetime` exception is raised if a datetime that goes beyond the minimum datetime is specified in both nanoseconds:
```python
>>> Timestamp(-9223372036854775000)
Timestamp('1677-09-21 00:12:43.145225')
>>> Timestamp(-9223372036854775001)
Traceback (most recent call last):
File "<stdin>", line 1, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19383 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19383/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19383/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19383/events | https://github.com/pandas-dev/pandas/issues/19383 | 291,363,318 | MDU6SXNzdWUyOTEzNjMzMTg= | 19,383 | FR: Allow duplicate column names in pandas.read_csv | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2018-01-24T21:19:19Z | 2018-04-08T10:06:55Z | 2018-01-25T19:40:37Z | NONE | null | Right now, pandas's read_csv() supports forcing column names read from CSV data to be unique:
```python
>>> import pandas as pd
p>>> pd.__version__
u'0.20.3'
>>> from StringIO import StringIO
>>> csv_data = """a,a,b
... 1,2,3
... 4,5,6"""
>>> df = pd.read_csv(StringIO(csv_data))
>>> df.columns.tolist()
['a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19384 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19384/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19384/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19384/events | https://github.com/pandas-dev/pandas/issues/19384 | 291,372,930 | MDU6SXNzdWUyOTEzNzI5MzA= | 19,384 | SparseDataFrame to_csv returns IndexError: too many indices for array | {
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... | [] | closed | false | null | [] | null | 1 | 2018-01-24T21:52:01Z | 2018-02-01T19:26:16Z | 2018-02-01T19:26:16Z | NONE | null | Calling to_csv on a SparseDataFrame returns IndexError: too many indices for array.
```python
import pandas as pd
from scipy.sparse import rand
x = rand(100, 10001, density=0.2, format='csr')
df = pd.SparseDataFrame(x)
df.to_csv("tmp.csv")
```
Calling .to_dense() on the df prior to writing out, of course, w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19385 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19385/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19385/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19385/events | https://github.com/pandas-dev/pandas/pull/19385 | 291,395,648 | MDExOlB1bGxSZXF1ZXN0MTY0OTkwMTE5 | 19,385 | Separate non-scalar tests from test_timestamps | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-01-24T23:18:41Z | 2018-01-31T06:49:34Z | 2018-01-25T12:01:56Z | MEMBER | null | Getting DataFrame, Series, Index tests out of tests.scalars and organizing them better, should make it easier to go and parametrize some older tests, in particular arithmetic and comparisons. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19386 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19386/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19386/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19386/events | https://github.com/pandas-dev/pandas/issues/19386 | 291,413,300 | MDU6SXNzdWUyOTE0MTMzMDA= | 19,386 | excel header_style broken in 0.22 | {
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```python
import pandas as pd
pd.io.formats.excel.header_style = None
```
After updating, it is no longer possible to override the excel header styles.
Previously, this was possible in 0.19.2:
`pd.formats.format.header_style = None`
It seems header_style has been moving around constantly lately... Can ... | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-01-25T02:43:12Z | 2019-06-01T14:56:35Z | 2019-06-01T14:56:35Z | CONTRIBUTOR | null | A MultiIndex "label" of -1 means NAN (though I have found no documentation of this). For example:
```python
>>> pd.MultiIndex.from_arrays([['a', 'a'], ['x', np.nan]])
MultiIndex(levels=[['a'], ['x']],
labels=[[0, 0], [0, -1]])
```
A MultiIndex can also be constructed with NAN values in levels:
```p... | {
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... | 1 | 2018-01-25T03:21:40Z | 2020-04-01T02:55:42Z | null | MEMBER | null | A test failure that only showed up on appveyor: https://ci.appveyor.com/project/pandas-dev/pandas/build/1.0.9563/job/b47phinjg410eiap
```
pd.Timedelta(hours=2) - np.timedelta64('NaT')
> __sub__ = _binary_op_method_timedeltalike(lambda x, y: x - y, '__sub__')
E TypeError: Cannot cast ufunc subtract input fro... | {
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... | 4 | 2018-01-25T03:35:51Z | 2020-05-03T21:28:36Z | null | MEMBER | null | ```
per = pd.Period('2016Q1')
ser = pd.Series([per])
>>> ser - pd.NaT
0 NaT
dtype: datetime64[ns]
>>> ser + pd.NaT
0 NaT
dtype: datetime64[ns]
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https://api.github.com/repos/pandas-dev/pandas/issues/19390 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19390/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19390/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19390/events | https://github.com/pandas-dev/pandas/issues/19390 | 291,451,469 | MDU6SXNzdWUyOTE0NTE0Njk= | 19,390 | Small differences in DataFrame/Panel ops | {
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_flex_comp_method_FRAME and _comp_method_PANEL define `na_op` in a way that is _almost_ identical. I'm wondering if the differences between them are intentional or if they can share an implementation. The main difference after catching a `Typ... | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2018-01-25T06:58:29Z | 2018-02-06T14:16:13Z | 2018-02-06T14:16:13Z | CONTRIBUTOR | null | Currently, merging two DataFrames on indices is not a default option. When the keyword argument `on` is not specified, `MergeError` is occurred.
#### Code Sample and Problem Statement
```python
In [1]: import pandas as pd
In [2]: a = pd.DataFrame({'a':[1,2]})
In [3]: b = pd.DataFrame({'b':[10,20]})
In [4]: a.... | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-01-25T08:20:22Z | 2018-01-26T11:23:45Z | 2018-01-26T11:23:45Z | CONTRIBUTOR | null | Exsample result for 'merge_ordered' function in documentation is wrong.
[https://pandas-docs.github.io/pandas-docs-travis/generated/pandas.merge_ordered.html?highlight=merge_ordered#pandas.merge_ordered](url)
The result should be:
key lvalue group rvalue
0 a 1 a NaN
1 b ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19395 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19395/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19395/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19395/events | https://github.com/pandas-dev/pandas/issues/19395 | 291,658,828 | MDU6SXNzdWUyOTE2NTg4Mjg= | 19,395 | read_excel provides uninformative error message when reading from sheet with duplicate multiindex columns | {
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... | 4 | 2018-01-25T17:50:17Z | 2019-10-21T19:52:18Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
d=pandas.DataFrame({('A','A'): [0,1,2,3,4,5]})
d[('A2','A2')] = 1
d.columns = [['A','A'],['A','A']]
print(d)
d.to_csv('TEST.csv')
print(pandas.read_csv('TEST.csv',header=[0,1], index_col=0))
d.to_excel('TEST.xlsx')
print(pandas.read_excel('TEST.... | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/19399 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19399/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19399/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19399/events | https://github.com/pandas-dev/pandas/issues/19399 | 291,695,459 | MDU6SXNzdWUyOTE2OTU0NTk= | 19,399 | UInt64Index: lookup by label gives KeyError for values over 2**63-1 | {
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"followers_url": "https://api.github... | 2 | 2018-01-25T19:55:16Z | 2018-11-25T02:17:30Z | 2018-11-25T02:17:30Z | NONE | null | [From a [StackOverflow question](https://stackoverflow.com/q/48449805/270986)]
Lookup in a `UInt64Index` appears to fail for values larger than `2**63-1` (but smaller than `2**64`). Here's a simple example session (Pandas 0.22.0, Python 3.6.)
```python
>>> import pandas as pd
>>> s = pd.Series({0x7fff_ffff_ffff... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19400 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19400/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19400/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19400/events | https://github.com/pandas-dev/pandas/pull/19400 | 291,729,940 | MDExOlB1bGxSZXF1ZXN0MTY1MjM5MTE0 | 19,400 | DOC: changes to use code-block declaration | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-01-25T21:57:20Z | 2018-01-26T11:18:38Z | 2018-01-26T11:18:38Z | CONTRIBUTOR | null | - [ ] closes #19400
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/19401 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19401/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19401/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19401/events | https://github.com/pandas-dev/pandas/pull/19401 | 291,741,437 | MDExOlB1bGxSZXF1ZXN0MTY1MjQ3OTkz | 19,401 | DOC: correct merge_ordered example | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2018-01-25T22:41:27Z | 2018-01-26T11:23:46Z | 2018-01-26T11:23:45Z | CONTRIBUTOR | null | - update of incorrect documentation example for merge_ordered.
- adding a test corresponding to this example.
- [ ] closes #19393
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/19402 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19402/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19402/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19402/events | https://github.com/pandas-dev/pandas/issues/19402 | 291,742,937 | MDU6SXNzdWUyOTE3NDI5Mzc= | 19,402 | Inconsistent date parsing with read_csv | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-01-25T22:47:45Z | 2018-01-26T16:25:22Z | 2018-01-26T16:25:06Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
> cat events.csv
id;name;date
1;event1;11/03/2011
2;event2;03/05/2011
3;event3;20/10/2011
4;event4;04/08/2011
5;event5;05/10/2011
6;event6;17/11/2011
7;event7;11/02/2011
8;event8;22/02/2011
9;event9;29/04/2011
```
```python
import pandas as pd... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19403 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19403/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19403/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19403/events | https://github.com/pandas-dev/pandas/pull/19403 | 291,759,527 | MDExOlB1bGxSZXF1ZXN0MTY1MjYxMjc2 | 19,403 | Make DateOffset.kwds a property | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2018-01-26T00:07:48Z | 2018-02-04T16:42:54Z | 2018-02-02T11:32:49Z | MEMBER | null | Returning to an older goal of making DateOffset immutable, this PR moves towards getting rid of `DateOffset.kwds` by making it a property instead of regular attribute. This uses the `_get_attributes_dict` pattern, albeit without actually using a `_get_attributes_dict` method.
I expect this to entail a small perf pe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19404 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19404/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19404/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19404/events | https://github.com/pandas-dev/pandas/issues/19404 | 291,763,101 | MDU6SXNzdWUyOTE3NjMxMDE= | 19,404 | to_clipboard excel defaults to "None", but doc string says "True" | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-01-26T00:28:48Z | 2018-02-01T13:26:36Z | 2018-02-01T13:26:36Z | CONTRIBUTOR | null | #### Problem description
I just started using python/pandas a couple of months ago. So this might be a misunderstanding on my part. The excel argument to the to_clipboard function defaults to "None", but doc string says "True". If this is a simple docstring change, I would like to contribute :)
https://github.com... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19405 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19405/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19405/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19405/events | https://github.com/pandas-dev/pandas/pull/19405 | 291,771,200 | MDExOlB1bGxSZXF1ZXN0MTY1MjY5OTc5 | 19,405 | standardize cimports of numpy as "cnp" | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-01-26T01:19:49Z | 2018-01-31T06:49:26Z | 2018-01-27T01:09:11Z | MEMBER | null | In a few files this collects scattered numpy imports and puts them all in one place.
Removes unnecessary `np.import_ufunc()` calls.
- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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"gi... | null | 6 | 2018-01-26T03:14:51Z | 2020-11-15T09:12:13Z | 2020-11-15T09:12:13Z | CONTRIBUTOR | null | There is a problem with assigning lists to indexed Series
```python
from math import nan
import pandas as pd
s1 = pd.Series([nan, nan, "c"])
s1[s1.isnull()] = ["a","b"]
s2 = pd.Series([nan, "b", nan])
s2[s2.isnull()] = ["a","c"]
#s1: "a", "b", "c"
#s2: "a", "b", "a"
```
`s1` shows the correct result, where... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19407 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19407/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19407/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19407/events | https://github.com/pandas-dev/pandas/pull/19407 | 291,792,738 | MDExOlB1bGxSZXF1ZXN0MTY1Mjg1NDEz | 19,407 | DOC: catch warnings in test_feather & other | {
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pandas/tests/series/test_operators.py::TestTimedeltaSeriesArithmetic::()::test_timedelta64_operations_with_DateOffset
/Users/jreback/pandas/pandas/core/indexes/timedeltas.py:438: PerformanceWarning: Adding/subtracting array of DateOffsets to <class 'pandas.core.indexes.timedeltas.TimedeltaIndex'> not vectorized... | {
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