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https://api.github.com/repos/pandas-dev/pandas/issues/29214 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29214/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29214/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29214/events | https://github.com/pandas-dev/pandas/issues/29214 | 512,236,530 | MDU6SXNzdWU1MTIyMzY1MzA= | 29,214 | CI/TST: Better information about the tests in azure-pipelines | {
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] | open | false | null | [] | null | 4 | 2019-10-25T00:03:34Z | 2021-07-22T05:15:22Z | null | MEMBER | null | Copying from https://github.com/astropy/astropy/pull/8445#issuecomment-546140223
If you install the newest version of pytest-azurepipelines (1.0.0rc1) https://pypi.org/project/pytest-azurepipelines/1.0.0rc1/ I've switched the output from Junit to Nunit XML as its better supported in Azure Pipelines.
You can then ru... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29215/events | https://github.com/pandas-dev/pandas/pull/29215 | 512,243,376 | MDExOlB1bGxSZXF1ZXN0MzMyMjkzODAw | 29,215 | Changing logo in README and removing old logo | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29216 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29216/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29216/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29216/events | https://github.com/pandas-dev/pandas/pull/29216 | 512,320,254 | MDExOlB1bGxSZXF1ZXN0MzMyMzUzMzgw | 29,216 | # noqa removal in code base | {
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"default... | closed | false | null | [] | null | 8 | 2019-10-25T06:00:54Z | 2019-11-08T00:52:27Z | 2019-11-08T00:52:27Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/29217 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29217/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29217/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29217/events | https://github.com/pandas-dev/pandas/issues/29217 | 512,321,571 | MDU6SXNzdWU1MTIzMjE1NzE= | 29,217 | In read_excel parse_date=False is not working | {
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```python
import pandas as pd
df = pd.read_file('filename.xlsx', header= None, skiprows=1, parse_dates=False)
```
#### Problem description
In read_excel parse_date default value is False , but still it is parsing the date.
**Note**: We receive a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29218 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29218/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29218/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29218/events | https://github.com/pandas-dev/pandas/pull/29218 | 512,346,676 | MDExOlB1bGxSZXF1ZXN0MzMyMzc0Nzg4 | 29,218 | ENH: Show column name in assert_frame_equal | {
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- old: `AssertionError: Attributes of DataFrame.iloc[:, 1] are different`
- new: `AssertionError: Attributes of DataFrame.loc[:, 'b'] are different`
- [ ] closes #xxxx
- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/29219 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29219/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29219/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29219/events | https://github.com/pandas-dev/pandas/issues/29219 | 512,382,645 | MDU6SXNzdWU1MTIzODI2NDU= | 29,219 | Remove pandas/tests/series/common.py | {
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As `TestData` was replaced with fixtures in all series tests, we can `pandas/tests/series/_common.py` altogether (it's only content is `TestData`). | {
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* Replaced test_data fixture in `pandas/tests/series/indexing/` with more granular fixtures
* Removed pandas/tests/series/indexing/conftest.py as the test_data fixture is not needed anymore
* Removed pandas/tests/series/common.py as TestData isn't used anymore
- [x] closes #22550
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```python
import multiprocessing as mp
import pandas as pd
def sample(df):
df_sampled = df.sample(df.shape[0], replace=True)
print(df_sampled.index)
if __name__ == '__main__':
with mp.Pool(4) as p:
df1 = pd.DataFrame({
... | {
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This is removing/replacing TestData usage in the following files:
* `test_reshape.py`
* `test_sorting.py`
* `test_subclass.py`
* `test_timeseries.py`
* `test_to_csv.py`
--------
- [x] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | fla... | {
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This is removing/replacing TestData usage in the following files:
* `test_query_eval.py`
* `test_indexing.py`
Also removes `TestData` from `pandas/tests/frame/common.py`
--------
- [x] closes #22471
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/ma... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29227 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29227/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29227/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29227/events | https://github.com/pandas-dev/pandas/issues/29227 | 512,626,076 | MDU6SXNzdWU1MTI2MjYwNzY= | 29,227 | Replace _has_complex_internals with isinstance(..., ABCMultiIndex) | {
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For code clarity, I think it would be better if we just did an isinstance check as I don't think the intent of `_has_complex_internals` is ve... | {
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Summary: to support ExtensionArrays in the conversion of an arrow table into a pandas DataFrame, we need some way to convert pyarrow Arrays into pandas ExtensionArray... | {
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```python
import numpy as np
import pandas as pd
arr = np.random.randint(2, size=10)
arr
array([0, 1, 0, 1, 0, 0, 0, 0, 0, 1])
sparr = pd.SparseArray(arr, fill_value=0)
sparr
[0, 1, 0, 1, 0, 0, 0, 0, 0, 1]
Fill: 0
IntIndex
Indices: array([1, 3, 9],... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29233/events | https://github.com/pandas-dev/pandas/issues/29233 | 512,792,675 | MDU6SXNzdWU1MTI3OTI2NzU= | 29,233 | read_csv encode operation on source | {
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```python
>>> import pandas as pd
>>> df = pd.read_csv("historical_dataset.csv")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib/python3/dist-packages/pandas/io/parsers.py", line 709, in parser_f
return _read(fi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29234 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29234/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29234/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29234/events | https://github.com/pandas-dev/pandas/pull/29234 | 512,794,116 | MDExOlB1bGxSZXF1ZXN0MzMyNzM4Mjg2 | 29,234 | PERF: PeriodEngine.get_loc accept narrow data type | {
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] | closed | false | null | [] | null | 20 | 2019-10-26T05:34:34Z | 2020-01-17T00:23:29Z | 2020-01-16T21:36:00Z | CONTRIBUTOR | null | - [x] closes #29038
- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
xref #28628.
I want to refactor `PeriodIndex.get_loc`. Because `PeriodIndex.get_loc` compute twice `Int64index.get_loc` and `PeriodEngine.get_loc`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29235/events | https://github.com/pandas-dev/pandas/issues/29235 | 512,820,850 | MDU6SXNzdWU1MTI4MjA4NTA= | 29,235 | Categories reordered to alphabetical when plotting histograms | {
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```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.DataFrame({
'width': [0.7, 0.2, 0.15, 0.2, 1.1],
'length': [1.5, 0.5, 1.2, 0.9, 3]
}, index= ['pig', 'rabbit', 'duck', 'chicken', 'horse'])
# Whether or not `column` is... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29236 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29236/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29236/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29236/events | https://github.com/pandas-dev/pandas/issues/29236 | 512,831,616 | MDU6SXNzdWU1MTI4MzE2MTY= | 29,236 | DOCS: Formatting Errors pandas.TimedeltaIndex | {
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] | closed | false | null | [] | null | 0 | 2019-10-26T12:47:00Z | 2019-10-29T03:16:23Z | 2019-10-29T03:16:23Z | CONTRIBUTOR | null | [pandas/core/Indexes/timedeltas.py](https://github.com/pandas-dev/pandas/blob/c7462edc33e89452ae55cb52f61b23cb66e48a5b/pandas/core/indexes/timedeltas.py)
#28602
#27977
[pandas/core/indexes/base.py](https://github.com/pandas-dev/pandas/blob/0a44feafd58f3c5576e5f4bf3d0136dcacc352f2/pandas/core/indexes/base.py)
... | {
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Hi, it my first issues within hacktoberfest.
I replaced _has_complex_internals with isinstance/
Is it possible to import ABCMultiIndex?
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https://api.github.com/repos/pandas-dev/pandas/issues/29238 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29238/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29238/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29238/events | https://github.com/pandas-dev/pandas/issues/29238 | 512,862,957 | MDU6SXNzdWU1MTI4NjI5NTc= | 29,238 | pandas.DataFrame.fillna automatically converts the dtypes of columns without missing values in them | {
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You can reproduce the behavior here:
```
improt pandas as pd
x = pd.DataFrame({'a':[1,2,np.nan,3],'d':['x','y','z',np.nan],'e':[1,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29239/events | https://github.com/pandas-dev/pandas/pull/29239 | 512,885,663 | MDExOlB1bGxSZXF1ZXN0MzMyODAxNzE4 | 29,239 | BENCH: Improve perf of rolling.Apply.time_rolling | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-10-26T21:06:21Z | 2019-10-28T19:36:39Z | 2019-10-28T18:40:13Z | CONTRIBUTOR | null | Per discussion in #29165, this PR significantly reduces the run time of the `rolling.Apply.time_rolling` benchmark from 8 minutes minimum.
```
$ asv dev -b rolling.Apply.time_rolling
· Discovering benchmarks
· Running 1 total benchmarks (1 commits * 1 environments * 1 benchmarks)
[ 0.00%] ·· Benchmarking existing... | {
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`pandas.DataFrame.merge` function is conceptually simillar like `pandas.DataFrame.join` function.
(first one one merges on specified columns, second merges on index).
These 2 functions use various parameters to do the same thing:
* `join` function has 2 params: `lsuffix + rsuffix`
* `... | {
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"description": "Incorrect or improved er... | open | false | null | [] | null | 5 | 2019-10-27T17:13:41Z | 2021-07-22T05:17:05Z | null | MEMBER | null | ```python
>>> import pandas as pd
>>>
>>> pd.__version__
'0.26.0.dev0+684.g953757a3e'
>>>
>>> from pandas._config import config
>>>
>>> config.register_option("a.b.c", 1)
>>>
>>> config.get_option("a.b.c")
1
>>>
>>> config.register_option("a.b.c", 2)
Traceback (most recent call last):
File "<stdin>", l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29243 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29243/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29243/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29243/events | https://github.com/pandas-dev/pandas/pull/29243 | 512,994,666 | MDExOlB1bGxSZXF1ZXN0MzMyODc0NjY3 | 29,243 | Follow up PR: #28097 Simplify branch statement | {
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xref #28097
This is follow up pr. eliminate branch statement. "grouper" variable is assigned when handle NAs. | {
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] | closed | false | null | [] | null | 1 | 2019-10-27T18:01:55Z | 2019-11-03T13:00:00Z | 2019-11-03T12:59:56Z | CONTRIBUTOR | null | For `vmin` `vmax` use the same implementation as `Styler.bar`
For dtype `Int64` issue, deprecated `.values` and use `.to_numpy` instead
Here explicitly assign the dtype to float since we are doing normalize
- [x] closes #12145 and #28869
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git d... | {
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] | closed | false | null | [] | null | 4 | 2019-10-27T20:03:06Z | 2021-07-22T05:29:10Z | 2021-07-22T05:29:10Z | CONTRIBUTOR | null | Hi @simonjayhawkins @jreback ,
Merge here refers to `full outer join`.
Can we have a feature of merging a list of dataframes. Looping over the list of files one after the other without considering their size, can be inefficient.
The algorithm capitalizes on the fact that `full outer join` is `associative` as wel... | {
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- [ ] closes #5563
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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`Series.item()` was a consequence of (historically) inheriting from np.ndarray, and was deprecated (like a set of other ndarray-inhertited methods/at... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29251 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29251/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29251/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29251/events | https://github.com/pandas-dev/pandas/issues/29251 | 513,201,811 | MDU6SXNzdWU1MTMyMDE4MTE= | 29,251 | Small BUG: to_csv index_label=False, move out column names | {
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] | closed | false | null | [] | null | 2 | 2019-10-28T09:54:30Z | 2019-10-28T17:31:55Z | 2019-10-28T17:31:55Z | NONE | null | #### Bug reproducing example
```python
import pandas as pd
a = {'col_name1': {('first', 'first'): 0, ('first', 'second'): 1}, 'col_name2': {('first', 'first'): 1, ('first', 'second'): 2}}
df = pd.DataFrame(a)
print(df.to_csv(index_label=False, sep='|'))
```
#### Printed value
```
__name1__|__name2__
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https://api.github.com/repos/pandas-dev/pandas/issues/29252 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29252/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29252/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29252/events | https://github.com/pandas-dev/pandas/issues/29252 | 513,309,659 | MDU6SXNzdWU1MTMzMDk2NTk= | 29,252 | Bug: Joining MultiIndex with NaNs | {
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```python
import numpy as np
import pandas as pd
df1 = pd.DataFrame(data={'col1': [1.1, 1.2]},
index=pd.MultiIndex.from_product([['A'], [1.0, 2.0]],
names=['id1', 'id2']))
df2 = pd.Dat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29253 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29253/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29253/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29253/events | https://github.com/pandas-dev/pandas/issues/29253 | 513,322,157 | MDU6SXNzdWU1MTMzMjIxNTc= | 29,253 | ml.plots.stresses() transforms input series Evaporation | {
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While I expect te function ml.plots.stresses() to plot the original series. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29254 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29254/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29254/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29254/events | https://github.com/pandas-dev/pandas/issues/29254 | 513,397,206 | MDU6SXNzdWU1MTMzOTcyMDY= | 29,254 | Fix SS06 Issues in docstrings | {
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] | open | false | null | [] | null | 8 | 2019-10-28T15:57:51Z | 2020-02-27T01:31:48Z | null | CONTRIBUTOR | null | Fix docstrings where summary should fit in a single line.
From: #27977, most of these errors should just be formatting issues where there are no single line summaries. After setting up and generating the SS06 errors with `python scripts/validate_docstrings.py --errors=SS06`, the workflow I would suggest is:
0. ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29255 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29255/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29255/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29255/events | https://github.com/pandas-dev/pandas/pull/29255 | 513,439,450 | MDExOlB1bGxSZXF1ZXN0MzMzMjI3MTY1 | 29,255 | Fix SS06 formatting errors | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-10-28T17:10:48Z | 2019-10-30T16:17:55Z | 2019-10-29T03:14:34Z | CONTRIBUTOR | null | SS06 (Summary should fit in a single line) errors fixed (#29254) for the following:
```
pandas.DataFrame.slice_shift
pandas.DataFrame.to_period
pandas.DataFrame.plot
pandas.DataFrame.sparse.density
pandas.DataFrame.style
pandas.Series.as_blocks
pandas.Series.ix
pandas.Series.ptp
pandas.DataFrame.as... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29256 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29256/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29256/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29256/events | https://github.com/pandas-dev/pandas/pull/29256 | 513,517,632 | MDExOlB1bGxSZXF1ZXN0MzMzMjkxMDky | 29,256 | DOC: Added whatsnew for GH-29174 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29257 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29257/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29257/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29257/events | https://github.com/pandas-dev/pandas/pull/29257 | 513,530,609 | MDExOlB1bGxSZXF1ZXN0MzMzMzAxNjA2 | 29,257 | Timedelta index 29236 | {
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"followers_url": "https://api.github.com/users/wesm... | 5 | 2019-10-28T20:11:15Z | 2020-01-06T16:47:22Z | 2019-10-29T03:16:23Z | CONTRIBUTOR | null | - [ ] closes #29236
only remaining docstring errors are for `TimedeltaIndex.mean`
Parameters {*args, **kwargs} not documented
Unknown parameters {skipna}
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https://api.github.com/repos/pandas-dev/pandas/issues/29258 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29258/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29258/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29258/events | https://github.com/pandas-dev/pandas/pull/29258 | 513,554,179 | MDExOlB1bGxSZXF1ZXN0MzMzMzIxMjAx | 29,258 | CLN: catch specific exceptions in frame.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29259 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29259/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29259/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29259/events | https://github.com/pandas-dev/pandas/pull/29259 | 513,558,257 | MDExOlB1bGxSZXF1ZXN0MzMzMzI0NTQ3 | 29,259 | DOC: use new logo in the sphinx theme as well | {
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However, locally, I am running into the problem that sphinx/html doesn't seem to like the svg logo's .. For local testing I added a converted png which works, but just ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29260 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29260/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29260/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29260/events | https://github.com/pandas-dev/pandas/pull/29260 | 513,596,984 | MDExOlB1bGxSZXF1ZXN0MzMzMzU2MjYx | 29,260 | Multiindex recurse error fix | {
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- [x] closes #25760 (and #28956 )
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29261 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29261/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29261/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29261/events | https://github.com/pandas-dev/pandas/pull/29261 | 513,649,411 | MDExOlB1bGxSZXF1ZXN0MzMzMzk4NjUz | 29,261 | REF: Pre-empt TypeError in groupby | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29262 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29262/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29262/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29262/events | https://github.com/pandas-dev/pandas/pull/29262 | 513,691,410 | MDExOlB1bGxSZXF1ZXN0MzMzNDMyMDEx | 29,262 | TST: Test named aggregations with functions | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-10-29T09:27:58Z | 2021-05-09T00:48:47Z | 2019-10-29T16:57:57Z | CONTRIBUTOR | null | Errors resolved (from list in #29254):
pandas.DataFrame.filter
pandas.DataFrame.first
pandas.DataFrame.idxmax
pandas.DataFrame.idxmin
pandas.DataFrame.last
pandas.DataFrame.reindex
pandas.DataFrame.pivot_table
pandas.DataFrame.reorder_levels
pandas.DataFrame.unstack
pandas.DataFrame.melt
Validated with `py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29264 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29264/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29264/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29264/events | https://github.com/pandas-dev/pandas/issues/29264 | 513,804,310 | MDU6SXNzdWU1MTM4MDQzMTA= | 29,264 | Inconsistent results between `rolling.corr` and `corr` | {
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] | closed | false | null | [] | null | 2 | 2019-10-29T09:52:23Z | 2020-05-22T16:09:24Z | 2020-05-22T16:09:23Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
x = pd.Series([0.125, 0.625, 0.5, 0.8125, 0.1875])
y = pd.Series([0.2, 0.2, 0.2, 0.2, 0.2])
print('rolling.corr:', x.rolling(5).corr(y).iloc[-1])
print('corr:', x.corr(y))
```
Output:
```
rolling.corr: -inf
corr: nan
`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29265 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29265/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29265/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29265/events | https://github.com/pandas-dev/pandas/issues/29265 | 513,859,891 | MDU6SXNzdWU1MTM4NTk4OTE= | 29,265 | Numerical errors in var(), std() | {
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] | closed | false | null | [] | null | 1 | 2019-10-29T11:42:10Z | 2019-10-29T15:23:42Z | 2019-10-29T15:23:31Z | NONE | null | ### In pandas:
```python
df = pd.Series([1,2])
df.var()
```
### Output
```python
0.25
```
### In numpy:
```python
np.var([1,2])
```
### Output
```python
0.5
```
#### Problem description
Why does Pandas Series.var() method return results by default without dividing by N? They don't agree with Numpy... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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Is there public API to get this? We have `Series.array`, but this always returns an ExtensionArray, and we have `Series.values`, but this return a numpy array for eg per... | {
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Which works fine if you do aggregations on single columns. But what if you want to apply aggregations over multiple columns:
**example**:
```python
# exa... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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"de... | closed | false | null | [] | null | 2 | 2019-10-29T19:49:16Z | 2019-12-05T16:35:46Z | 2019-12-05T16:35:46Z | MEMBER | null | ref #29165 the stat_ops benchmarks add a significant amount of time to the ASV runs. The "kendall" correlation method in particular takes over 10 seconds per run in some cases, and there are at least 4 occurrences of this. So for that method alone 40s across 4 runs per benchmark suite would be close to 3 minutes just ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29272 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29272/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29272/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29272/events | https://github.com/pandas-dev/pandas/issues/29272 | 514,209,952 | MDU6SXNzdWU1MTQyMDk5NTI= | 29,272 | CLN: Consistent imports in tests: pandas.util.testing as tm | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-10-29T20:41:32Z | 2019-11-03T23:39:06Z | 2019-11-01T14:50:59Z | CONTRIBUTOR | null | This is a follow-up issue of #23018 with the goal of enforcing a consistent approach of importing things from pandas.util.testing inside the **test suite**.
Currently, there are multiple import styles used:
1. `import pandas.util.testing as tm`
2. `from pandas.util.testing import ...`
3. `from pandas.util import ... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/29274 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29274/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29274/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29274/events | https://github.com/pandas-dev/pandas/issues/29274 | 514,248,149 | MDU6SXNzdWU1MTQyNDgxNDk= | 29,274 | [Minor Fix][Doc]What's New in 1.0.0 | {
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Minor typo under the [Dedicated-string-data-type](https://dev.pandas.io/docs/whatsnew/v1.0.0.html#dedicated-string-data-type) warning, it should be `StringDtype is currently considered experimental.` instead of `StringDtype` ~and~ `is currently considered experimental.` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29275 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29275/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29275/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29275/events | https://github.com/pandas-dev/pandas/pull/29275 | 514,258,545 | MDExOlB1bGxSZXF1ZXN0MzMzOTA0OTAz | 29,275 | CLN: update imports in tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29276 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29276/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29276/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29276/events | https://github.com/pandas-dev/pandas/issues/29276 | 514,286,878 | MDU6SXNzdWU1MTQyODY4Nzg= | 29,276 | Question: Clarification about the Warnings/Exceptions/Errors types. | {
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There's is:
Warning - When the user is attempting to do something "bad" but possible (Having 2 different dat... | {
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Fyi: the changes were created via a script posted in the issue
- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/29278 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29278/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29278/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29278/events | https://github.com/pandas-dev/pandas/pull/29278 | 514,342,202 | MDExOlB1bGxSZXF1ZXN0MzMzOTc3MjI2 | 29,278 | CLN: Consistent pandas.util.testing imports in pandas/tests/util | {
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Fyi: All changes are generated from a script posted in the issue.
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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] | closed | false | null | [] | null | 3 | 2019-10-30T02:04:16Z | 2020-03-12T11:36:59Z | 2020-03-12T11:36:58Z | NONE | null | I have a dataset in csv and a dictionary created by a classifier. It is necessary to put the key values in place of the keys . I use this code `df.replace(mapping,inplace = True) `and it works fine on 100 lines, but for 2000 and more, I get the error
> "TypeError:“ Cannot compare types 'ndarray (dtype = object)' an... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
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```python
# Creation of two data frames
df=pd.DataFrame(data={'a':[1,2,3], 'b':[4,5,6]})
df2=pd.DataFrame(data={'c':[7,8,9]}, index=[2,1,0])
# Assign a column of the second into the first
df['c']=df2['c']
# As expected
df
#Out[50]:
# a b c
#0 1 4 9
#1 2 5 8
#2 3 6 7
# Th... | {
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pandas.io.formats.style.Styler.from_custom_template
pandas.io.formats.style.Styler.apply
pandas.io.formats.style.Styler.applymap
pandas.io.formats.style.Styler.set_properties
pandas.io.formats.style.Styler.clear
pandas.io.formats.style.Styler.background_gradient
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```python
# Your code here
# out is a dataframe with columns A,B,C,D (all integers) and has 390,846 rows
# this is the result of a out.head()
# 46.0 276 76514.0 5.293944e+07
# 46.0 276 23564.0 3.330653e+07
# 46.0 ... | {
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Fyi: the changes were created via a script posted in the issue
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Fyi: the changes were created via a script posted in the issue
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Multi-row and/or multi-column subplots can utilize shared axes.
An external share happens at axis creation when a sharex or sharey
parameter is specified.
An internal share, or twinning, occurs when an overlayed axis is created
by the `Axes.twinx()` or `Axes.twiny()` calls.
The two types of... | {
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```python
import pandas as pd
# generate some data and create dataframe
col = {'x': []}
for i in range(10):
col['x'].append(18446744073709500000 - i)
df = pd.DataFrame.from_dict(col, dtype='uint64')
# see the dtype:
print(df.dtypes, end='\n\n')
# see... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29295 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29295/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29295/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29295/events | https://github.com/pandas-dev/pandas/pull/29295 | 514,824,319 | MDExOlB1bGxSZXF1ZXN0MzM0Mzg0NjQw | 29,295 | Fix SS06 formatting errors | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-10-30T16:48:32Z | 2020-02-28T19:57:10Z | 2019-10-31T17:04:09Z | CONTRIBUTOR | null | More SS06 (Summary should fit in a single line) errors fixed (#29254):
The following docstrings were examined and fixed:
```
pandas.DataFrame
pandas.DataFrame.transform
pandas.DataFrame.corrwith
pandas.DataFrame.describe
pandas.DataFrame.kurt
pandas.DataFrame.kurtosis
pandas.DataFrame.skew
pandas.DataFrame.... | {
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- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/29297 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29297/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29297/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29297/events | https://github.com/pandas-dev/pandas/issues/29297 | 514,917,011 | MDU6SXNzdWU1MTQ5MTcwMTE= | 29,297 | TypeError when setting MultiIndex in DataFrame | {
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```python
from pandas import read_pickle
df = read_pickle('test.txt')
print(df)
df.set_index(['ElementID', 'NodeID', 'Location']) # fails
#df.set_index(['ElementID']) # also fails
```
The pickle file (that I renamed to be a .txt file):
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The `except AssertionError`s were needed back when the lines below were `except Exception`, but those have been made more specific, so these are no longer needed | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29304/events | https://github.com/pandas-dev/pandas/pull/29304 | 515,079,524 | MDExOlB1bGxSZXF1ZXN0MzM0NTk2ODg0 | 29,304 | Fix SS06 formatting errors | {
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Fixed docstrings for the following:
- pandas.DataFrame
- pandas.DataFrame.transform
- pandas.DataFrame.corrwith
- pandas.DataFrame.describe
- pandas.DataFrame.kurt
- pandas.DataFrame.kurtosis
- pandas.DataFrame.skew
- pandas.DataFrame.align
- pandas.DataFrame.dr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29305/events | https://github.com/pandas-dev/pandas/pull/29305 | 515,079,567 | MDExOlB1bGxSZXF1ZXN0MzM0NTk2OTEx | 29,305 | CLN: tighten Exception catching in indexing.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29306/events | https://github.com/pandas-dev/pandas/pull/29306 | 515,202,127 | MDExOlB1bGxSZXF1ZXN0MzM0NzAwODYz | 29,306 | TST: Test DataFrame rename with ChainMap | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29307/events | https://github.com/pandas-dev/pandas/pull/29307 | 515,270,670 | MDExOlB1bGxSZXF1ZXN0MzM0NzU4MDIz | 29,307 | CLN: Consistent pandas.util.testing imports in remaining test suite | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-10-31T09:05:02Z | 2019-10-31T13:10:40Z | 2019-10-31T13:09:48Z | CONTRIBUTOR | null | Part of #29272
Fyi: All changes are generated from a script posted in the issue.
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Fyi: When the remaining PRs of this are merged, I'll add another one to add the linting rule - then we ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29308 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29308/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29308/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29308/events | https://github.com/pandas-dev/pandas/issues/29308 | 515,297,133 | MDU6SXNzdWU1MTUyOTcxMzM= | 29,308 | i was confused with qcut function | {
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"descript... | closed | false | null | [] | null | 2 | 2019-10-31T09:50:47Z | 2019-11-01T22:43:02Z | 2019-11-01T22:42:57Z | NONE | null | I was confused with **qcut** after runing the following codes:
```python
s = pd.Series(range(19))
qc = pd.qcut(s,
q=[0., .1, .3, .7, .9, 1.],
labels=[.8, .9, 1., 1.1, 1.2])
qc.to_numpy()
```
#### Problem description
after running above codes, I get the result.( **please note, there is t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29309 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29309/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29309/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29309/events | https://github.com/pandas-dev/pandas/issues/29309 | 515,344,684 | MDU6SXNzdWU1MTUzNDQ2ODQ= | 29,309 | API: how to create a "shallow copy" of a DataFrame? | {
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"description": ""... | open | false | null | [] | null | 4 | 2019-10-31T11:07:33Z | 2021-07-22T05:47:15Z | null | MEMBER | null | How can you create a copy of the DataFrame without copying the actual data, but having a new DataFrame that when updated (not in place) does not modify the original ("shallow copy")? And how is this expected to behave?
I suppose that in technical terms, this would be a new BlockManager that references the same arrays... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29310 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29310/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29310/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29310/events | https://github.com/pandas-dev/pandas/issues/29310 | 515,393,259 | MDU6SXNzdWU1MTUzOTMyNTk= | 29,310 | HDF file compression not working | {
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"gi... | null | 20 | 2019-10-31T12:29:24Z | 2021-07-22T05:48:31Z | null | CONTRIBUTOR | null | xref https://github.com/pandas-dev/pandas/pull/28890#pullrequestreview-304361199
While updating the [performance comparison part of the IO docs](https://dev.pandas.io/docs/user_guide/io.html#performance-considerations) it was found that compressed size values for .hdf file formats were the same as uncompressed .hdf ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29311/events | https://github.com/pandas-dev/pandas/issues/29311 | 515,419,856 | MDU6SXNzdWU1MTU0MTk4NTY= | 29,311 | PERF: regression in MultiIndex get_loc indexing performance | {
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```
In [65]: mi_med = pd.MultiIndex.from_product(
...: [np.arange(1000), np.arange(10), list("A")], names=["one", "two", "three"]
...: )
In [66]: %timeit mi_med.get... | {
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