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https://api.github.com/repos/pandas-dev/pandas/issues/37619 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37619/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37619/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37619/events | https://github.com/pandas-dev/pandas/pull/37619 | 735,724,792 | MDExOlB1bGxSZXF1ZXN0NTE1MDY0NTg2 | 37,619 | TST/REF: parametrize set_axis tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37620 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37620/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37620/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37620/events | https://github.com/pandas-dev/pandas/issues/37620 | 735,741,380 | MDU6SXNzdWU3MzU3NDEzODA= | 37,620 | BUG: ParserError while reading a csv file generated by pandas dataframe | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Apply memory mapping first and then compression. The existing order didn't work.
This adds support for memory mapping in `read_csv` when compression is specified (pyt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37622 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37622/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37622/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37622/events | https://github.com/pandas-dev/pandas/issues/37622 | 735,866,761 | MDU6SXNzdWU3MzU4NjY3NjE= | 37,622 | Dataframe.sum() returns an error with MultiIndex columns and skipna=False | {
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"id": 71268330,... | open | false | null | [] | null | 0 | 2020-11-04T07:00:50Z | 2021-08-14T04:50:25Z | null | NONE | null | #### Code Sample, a copy-pastable example
```python
import pandas as pd
import numpy as np
iterables = [['bar', 'baz'], ['one', 'two'], ['dog', 'cat']]
df = pd.DataFrame(np.random.randn(2, 8), columns=pd.MultiIndex.from_product(iterables, names=['first', 'second', 'third']))
df.sum(axis=1, level=['first',... | {
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Related to ``test_groupby_nan_included``. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37624 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37624/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37624/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37624/events | https://github.com/pandas-dev/pandas/issues/37624 | 735,905,151 | MDU6SXNzdWU3MzU5MDUxNTE= | 37,624 | BUG: DataFrame doesn't roundtrip with HDFStore(..., format='table', dropna=True) | {
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... | open | false | null | [] | null | 0 | 2020-11-04T08:12:47Z | 2021-08-14T04:50:49Z | null | MEMBER | null | xref #37564
#### Example
``` python
In [3]: import numpy as np
...: import pandas as pd
...: import pandas._testing as tm
...: from pandas.tests.io.pytables.common import ensure_clean_path
...:
...: df_with_missing = pd.DataFrame(
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https://api.github.com/repos/pandas-dev/pandas/issues/37625 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37625/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37625/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37625/events | https://github.com/pandas-dev/pandas/issues/37625 | 735,975,251 | MDU6SXNzdWU3MzU5NzUyNTE= | 37,625 | ENH: support none in header list | {
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The following code will raise `TypeError: list indices must be integers or slices, not NoneType.`
```python
# Your code here, if applicable
df = pd.read_excel(file_path, sheet_name=None, header=[0, None])
```
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https://api.github.com/repos/pandas-dev/pandas/issues/37626 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37626/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37626/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37626/events | https://github.com/pandas-dev/pandas/issues/37626 | 736,004,530 | MDU6SXNzdWU3MzYwMDQ1MzA= | 37,626 | BUG: Collection of inconsistencies in .astype conversions | {
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"description": "Unexpected or buggy dtyp... | open | false | null | [] | null | 5 | 2020-11-04T10:38:56Z | 2021-09-08T07:14:15Z | null | CONTRIBUTOR | null | I have a use case where (automatic) casting between the following `pandas` dtypes is necessary;
`bool`, `boolean`, `int64`, `Int64`, `float64`, `object` and `string`.
Note that `boolean`, `Int64` and `string` are the new pandas 1.0 nullable dtypes.
The default approach for this would be `series.astype(target_d... | {
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... | open | false | null | [] | null | 10 | 2020-11-04T11:30:52Z | 2021-09-12T11:45:45Z | null | CONTRIBUTOR | null | - [ ] closes #29268
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
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import pandas as pd
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- [ ] tests added / passed
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will update milestones on PR and associated issues once this is green-ish. Will also need to update release notes on master. (move from 1.2 to 1.1.5) | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37637 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37637/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37637/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37637/events | https://github.com/pandas-dev/pandas/pull/37637 | 736,498,840 | MDExOlB1bGxSZXF1ZXN0NTE1NzAyNjMw | 37,637 | DOC: test organization | {
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1) I expect this is not valid rst ATM
2) The style does not match the rest of the docs, so probably needs a re-write.
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https://api.github.com/repos/pandas-dev/pandas/issues/37639 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37639/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37639/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37639/events | https://github.com/pandas-dev/pandas/pull/37639 | 736,573,305 | MDExOlB1bGxSZXF1ZXN0NTE1NzYyODEz | 37,639 | REF: move get_filepath_buffer into get_handle | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This PR makes `get_filepath_buffer` a private function and is called inside `get_handle` - one function to rule all of IO ;)
This PR will make it easier for future PRs... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37640 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37640/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37640/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37640/events | https://github.com/pandas-dev/pandas/pull/37640 | 736,576,519 | MDExOlB1bGxSZXF1ZXN0NTE1NzY1NDYy | 37,640 | REF: de-duplicate _validate_insert_value with _validate_scalar | {
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If we stopped there, `TimedeltaIndex.get_loc`... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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```python
In [15]: import pandas as pd
...: import pyarrow as pa
...:
...: df = pd.DataFrame({'a': pa.scalar(7)}, index=['a'])
...: print(type(df.to_dict(orient="records")[0]['a']))
...:
<class 'pyarrow.lib.Int64Scalar'>
```
This is inconsistent with the corresponding op f... | {
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- [x] `Cateogrical.remove_categories` #37981
- [x] `Categorical.add_categories` https://github.com/pandas-dev/pandas/pull/41118
- [x] `Categorical.reorder_categories` https://github.com/pandas-dev/pandas/pull/41133
- [x] ... | {
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- [X] 1 tests added / 1 passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
## Problem
We currently lose `fold` information (whether the Timestamp corresponds to the first or second instance of wall clock time in a DST ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37645 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37645/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37645/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37645/events | https://github.com/pandas-dev/pandas/issues/37645 | 736,890,673 | MDU6SXNzdWU3MzY4OTA2NzM= | 37,645 | ENH: date_format and datetime_format for writing to ODS | {
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Currently, dates and datetimes are written correctly to ODS, but the cells are not marked as containing datetime data (LibreOffice Calc interprets them as numbers), and also the `date_format` and `datetime_format` arguments to ExcelWriter are currently ignored by th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37646 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37646/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37646/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37646/events | https://github.com/pandas-dev/pandas/issues/37646 | 736,911,250 | MDU6SXNzdWU3MzY5MTEyNTA= | 37,646 | Order not preserved in OrderedDict when using to_dict with orient='records' | {
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reproducer:
DataFrame([{"B": 1, "A": 2}]).to_dict(orient='records', into=OrderedDict)
> [OrderedDict([('A', 2), ('B', 1)])]
expected behavior:
DataFrame([{"B": 1, "A": 2}]).to_dict(orient='records', into=OrderedDict)
> [OrderedDict([('B', 1), ('A', 2)])]
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I would like to be able to use Pandas datetime datatype column for datetimes beyond the bounds for `ns` units (which are `1677-09-21 00:12:43.145225` and `2262-04-11 23:47:16.854775807`).
As will often be dealing with dates above and below these thresholds. Apol... | {
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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
This resolves the issue of return types from `to_dict`. #25969 also discusses return types from `.items()`, which relates to an outstanding NumPy issu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37650 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37650/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37650/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37650/events | https://github.com/pandas-dev/pandas/pull/37650 | 737,022,189 | MDExOlB1bGxSZXF1ZXN0NTE2MTM2MzM2 | 37,650 | REF: implement Categorical.encode_with_my_categories | {
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- [ ] closes #xxxx
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... | 9 | 2020-11-05T17:25:11Z | 2021-11-20T18:32:47Z | null | NONE | null | #### Is your feature request related to a problem?
With the increasing support for PyPy3 in NumPy, it would be helpful if pandas started testing against PyPy3.
#### Describe the solution you'd like
Please consider adding `pypy3` to the `.travis.yml` (allowed to fail for now).
#### API breaking implications
... | {
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I moved the file to a new directory.
What is the best structure for this folder?
[before_test_ploting_frame](https:... | {
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This change is a a feature I often want, which is the ability to add raw data on to... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37664 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37664/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37664/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37664/events | https://github.com/pandas-dev/pandas/pull/37664 | 737,754,185 | MDExOlB1bGxSZXF1ZXN0NTE2NzQwNzQ3 | 37,664 | REF: simplify cycling through colors | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I tried to address #37604, but it turns out that on some occasions it is absolutely mandatory to return more colors than ``num_colors`` says.
In pa... | {
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- [ ] tests added / passed
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Follow up on #36982.
Since, currently ``assert_produces_warning`` now allows matching warning message,
instead of the comment we will match the mes... | {
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- [x] tests added / passed
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- [ ] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```bash
pytest -Werror pandas/tests/... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Fix MatplotlibDeprecationWarning for pie chart by specifically passing ``normalize=True``. | {
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The `DataFrame` constructor doesn't appear to be working correctly with
```python
In [3]: pd.DataFrame([[1], [2]], index=[["a", "b"], ["c", "d"]])
Out[3]:
0
a c 1
b d 2
```
I *think* we might expect
```python
In [3]: pd.DataFrame([[1], [2]], index=[["a", "b"], ["c", "d"]])
Out[3]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37680 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37680/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37680/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37680/events | https://github.com/pandas-dev/pandas/pull/37680 | 738,117,323 | MDExOlB1bGxSZXF1ZXN0NTE3MDQwOTMx | 37,680 | BUG: Dtype was not changed when float was assignt to int column | {
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"color": "e1... | closed | false | null | [] | null | 14 | 2020-11-07T00:31:20Z | 2021-06-16T13:46:26Z | 2021-06-16T13:46:26Z | MEMBER | null | - [x] closes #26395
- [x] closes #20643
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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We have to keep the get_loc statement to check, if the series._set_value function does the trick. I added the dtype conversion ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37681 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37681/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37681/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37681/events | https://github.com/pandas-dev/pandas/issues/37681 | 738,154,218 | MDU6SXNzdWU3MzgxNTQyMTg= | 37,681 | BUG: CategoricalIndex.fillna with a tuple category | {
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```
ci = pd.CategoricalIndex([(0, 1), (1, 2), pd.NA])
>>> ci.fillna((0, 1))
[...]
TypeError: 'value' must be a scalar, passed: tuple
>>> ci._data.fillna((0, 1))
[(0, 1), (1, 2), (0, 1)]
Categories (2, object): [(0, 1), (1... | {
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```
dr = pd.date_range("2001-01-01", periods=3)
lvals = pd.DatetimeIndex([dr[0], dr[1], pd.NaT])._data
rvals = pd.Categorical([dr[0], pd.NaT, dr[2]])
mask = np... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37685 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37685/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37685/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37685/events | https://github.com/pandas-dev/pandas/pull/37685 | 738,268,286 | MDExOlB1bGxSZXF1ZXN0NTE3MTU2MzAw | 37,685 | BUG: DataFrame.groupby(., dropna=True, axis=0) incorrectly throws ShapeError [RESUBMIT] | {
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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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Resubmitting #35751 to see if I can get to green here | {
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No
#### Describe the solution you'd like
Let's imagine a excel database with multiple sheets
We can do `pd.read_excel(db, sheet_name=[0, 1], usecols=[0, 1])` and we would read the first and second columns of the first and second sheets.
Imagine we need to read... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
cc @jreback Added a test. The test above was the only one explicitly added for the ``KeyError``
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Found a few unuesed statements | {
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information suggested by `validate_docstrings.py` script.
Ran
```
python scripts/validate_docstrings.py pandas.DataFrame.insert
```
to check docs and added in suggested information (e.g., See Also section).
- [ ] closes #xxxx
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We should add further tests for iloc/iat and different dtypes for all cases (loc, at, iloc, iat)
cc @jreback
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`df = pd.read_stata('MucA.dta')` produces the following df:
```
tinh huyen xa diaban hoso matv m1ac2 m1ac3 ... m1ac12 m1ac13 m1ac14a m1ac14b m1ac15a m1ac15b m1ac15c m1ac15d
0 Thµnh phè Hµ Néi 1 4 ... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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(https://en.wikipedia.org/wiki/Proleptic_Gregorian_calendar). Also,
"proleptic" is modifying the compound noun "Gregorian epoch" rather than
"Gregorian" modifying a "proleptic epoch".
- [ ] closes #xxxx
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- [ ] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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Going to add axis=1 tests as part of resolution of #9772, simplifying test first. | {
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This will have a merge conflict with #37696; doesnt matter which one goes in first. One both are in, there are further simplifications available.
I'm hop... | {
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... | 3 | 2020-11-08T20:47:34Z | 2020-11-11T02:30:17Z | 2020-11-11T02:30:16Z | NONE | null | ```python
import pandas as pd
from pathlib import Path
file_path_string = r'C:\Users\Desktop\my_file.html'
file_path = Path(file_path_string)
df1 = pd.read_html(file_path_string)[0] # works fine
df2 = pd.read_html(file_path)[0] # raises TypeError: cannot parse 'from WindowsPath'
```
Why do `read_excel()... | {
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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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This confused ``-1`` representing missing values in input with the ``-1`` signaling which components to exclude from output. | {
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- [x] closes #24263
- [x] tests added / passed
- [x] passes `black pandas`
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A slice return caused issues everywhere, when this function was used. So I unpacked it right in there. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37708 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37708/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37708/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37708/events | https://github.com/pandas-dev/pandas/issues/37708 | 738,614,722 | MDU6SXNzdWU3Mzg2MTQ3MjI= | 37,708 | BUG: Wrong index after monthly resampling | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Reproduce
```python
df_sent = df_date.groupby('name').resample('M').count()... | {
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- [x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
I tried two different lines of code.
Both of them ga... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37710 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37710/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37710/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37710/events | https://github.com/pandas-dev/pandas/pull/37710 | 738,657,951 | MDExOlB1bGxSZXF1ZXN0NTE3NDUxNzE3 | 37,710 | REF: remove ObjectBlock._replace_single | {
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"followers_url": "https://api.github.com... | 4 | 2020-11-09T09:20:16Z | 2020-11-15T03:36:03Z | 2020-11-14T16:51:58Z | NONE | null | I often use `.loc[(slice(...),),]` for selection and modifying when dealing with both series and dataframe: see
[advanced-indexing-with-hierarchical-index](https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html#advanced-indexing-with-hierarchical-index)
> In [43]: df.loc['bar']
Out[43]:
... | {
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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... | 19 | 2020-11-09T13:08:21Z | 2021-11-08T18:03:32Z | null | MEMBER | null | In #37556 `# type: ignore` were added to silence mypy errors to be fixed 'later'. If an ignore is needed due to a error with the type checker, a comment with a reference to the mypy issue on the github mypy issue tracker should be included.
Further investigation or PRs welcome removing these ignores or adding commen... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37716 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37716/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37716/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37716/events | https://github.com/pandas-dev/pandas/issues/37716 | 739,049,252 | MDU6SXNzdWU3MzkwNDkyNTI= | 37,716 | df.melt() overwriting column named 'variable' | {
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"description": "Concat, Merge/Join, Stac... | open | false | null | [] | null | 6 | 2020-11-09T13:55:23Z | 2020-11-12T10:26:53Z | null | NONE | null | when melting df using a column named 'variable' as an id_var.
resultant frame has original 'variable' column overwritten with the newly melted 'variable' column.
would suggest checking for presence of 'variable' column and appending '_i' to newly created columns.
[example_melt_overwrite.zip](https://github.com/pan... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37717 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37717/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37717/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37717/events | https://github.com/pandas-dev/pandas/pull/37717 | 739,058,481 | MDExOlB1bGxSZXF1ZXN0NTE3Nzg5MTMz | 37,717 | TST: move and reformat latex_na_rep test | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Move test to a more suitable location (``class TestToLatexFormatters``)
and reformat using ``_dedent`` and raw string for better readability. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37718 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37718/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37718/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37718/events | https://github.com/pandas-dev/pandas/pull/37718 | 739,069,714 | MDExOlB1bGxSZXF1ZXN0NTE3Nzk4MjQ5 | 37,718 | TST: improve readability using dedent in test_to_string.py | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-11-09T14:21:22Z | 2020-11-10T04:43:51Z | 2020-11-09T18:57:10Z | MEMBER | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Improve readability of expected outputs using dedent in ``pandas/tests/io/formats/test_to_string.py`` | {
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