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https://api.github.com/repos/pandas-dev/pandas/issues/31715 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31715/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31715/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31715/events | https://github.com/pandas-dev/pandas/pull/31715 | 560,558,714 | MDExOlB1bGxSZXF1ZXN0MzcxNTI3NTQ4 | 31,715 | REF: organize MultiIndex indexing tests | {
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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/31717 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31717/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31717/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31717/events | https://github.com/pandas-dev/pandas/issues/31717 | 560,567,596 | MDU6SXNzdWU1NjA1Njc1OTY= | 31,717 | Are the contributors in the whatsnew v1.0.1 note correct? | {
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] | closed | false | null | [] | null | 4 | 2020-02-05T19:02:26Z | 2020-03-23T13:41:35Z | 2020-03-23T13:41:35Z | MEMBER | null | Having a look at https://github.com/pandas-dev/pandas/milestone/69?closed=1, it seems there's some contributors (e.g. dsaxton , srvanrell) who aren't listed in the whatsnew page: https://pandas.pydata.org/docs/whatsnew/v1.0.1.html
> A total of 7 people contributed patches to this release. People with a “+” by their ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31718 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31718/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31718/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31718/events | https://github.com/pandas-dev/pandas/pull/31718 | 560,577,240 | MDExOlB1bGxSZXF1ZXN0MzcxNTQyNzMz | 31,718 | fix type errors in pandas/tests/extension/json/array.py | {
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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/31719 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31719/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31719/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31719/events | https://github.com/pandas-dev/pandas/issues/31719 | 560,588,761 | MDU6SXNzdWU1NjA1ODg3NjE= | 31,719 | Change of rolling behavior in Pandas 1.0.0 vs 0.25.3 | {
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```python
df = pd.DataFrame({
'a': np.arange(10, dtype=float),
'b': [3.0, np.NaN] * 5,
'key': list('ddeefffggh'),
})
expected = df.sort_values(['key', 'a']).assign(
rolled=lambda d: d.groupby('key')
.b.rolling(3, min_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31720 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31720/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31720/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31720/events | https://github.com/pandas-dev/pandas/issues/31720 | 560,599,263 | MDU6SXNzdWU1NjA1OTkyNjM= | 31,720 | `Series.replace` fails on categoricals with list | {
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"followers_url": "https://api.github.... | 3 | 2020-02-05T20:05:27Z | 2020-02-17T16:59:53Z | 2020-02-17T16:59:53Z | CONTRIBUTOR | null | Looks like this was introduced in #27026: not sure of the details of what was incorrect in the old version but I do know that this at least didn't error:
```python
cat = pd.CategoricalIndex(['a', 'b']).to_series()
cat.replace('a', 'A') # works
cat.replace(['a'], 'A')
~/model/.venv/lib/python3.7/site-packages/pand... | {
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df = DataFrame({"A": [1, 2, 3]}, index=list("abc"))
>>> df.at[0]
ValueError: At based indexing on an non-integer index can only have non-integer indexers
>>> df.loc[0]
TypeError: cannot do label indexing on <class 'pandas.core.indexes.base.Index'> with these indexers [0] of <class 'int'>
```
I would expe... | {
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cc. @TomAugspurger @jorisvandenbossche | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31724 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31724/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31724/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31724/events | https://github.com/pandas-dev/pandas/pull/31724 | 560,650,673 | MDExOlB1bGxSZXF1ZXN0MzcxNjAzNjI2 | 31,724 | API/BUG: make .at raise same exceptions as .loc | {
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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 also (very) indirectly addresses #31683 which in turn will let us get rid of `CategoricalIndex.get_value` altogether. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31725 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31725/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31725/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31725/events | https://github.com/pandas-dev/pandas/issues/31725 | 560,669,804 | MDU6SXNzdWU1NjA2Njk4MDQ= | 31,725 | API: add ignore_index keyword to dropna() and other similar functions | {
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"description": "Related ... | open | false | null | [] | null | 0 | 2020-02-05T22:35:04Z | 2021-07-28T04:52:15Z | null | CONTRIBUTOR | null | #### Code Sample
**Before**
```python
df = pd.DataFrame({'A': [0, pd.NA, 1]})
df.dropna().reset_index(drop=True)
```
**After**
```python
df = pd.DataFrame({'A': [0, pd.NA, 1]})
df.dropna(ignore_index=True)
```
#### Problem description
I have noticed a lot of dataframe reshaping functions acquiring... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31726 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31726/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31726/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31726/events | https://github.com/pandas-dev/pandas/issues/31726 | 560,690,149 | MDU6SXNzdWU1NjA2OTAxNDk= | 31,726 | pandas.read_excel() close the io stream | {
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```python
with open(r'a.xlsx','rb') as f: # input the .xlsx
df_top = pd.read_excel(f,'Sheet1',encoding = 'utf-8').iloc[:,0:2]
df_less = pd.read_excel(f,'Sheet2',encoding = 'utf-8').iloc[:,0:2]
```
#### Problem description
The first read_excel() wo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31727 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31727/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31727/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31727/events | https://github.com/pandas-dev/pandas/pull/31727 | 560,693,198 | MDExOlB1bGxSZXF1ZXN0MzcxNjM5MDU0 | 31,727 | TST/CLN: dtype test_construct_from_string | {
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"followers_url": "https://api.github.... | 4 | 2020-02-06T00:32:35Z | 2020-05-01T22:02:17Z | 2020-02-06T23:41:13Z | CONTRIBUTOR | null | - [x] closes #31677
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry - pending https://github.com/pandas-dev/pandas/pull/31723
Ref: https://github.com/pandas-dev/pandas/pull/31723
cc. @WillAyd @jbrockmendel | {
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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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"followers_url": "https://api.github.... | 6 | 2020-02-06T03:06:19Z | 2020-02-12T15:05:29Z | 2020-02-12T15:05:29Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: df = pd.DataFrame({'A': ['a', 'b', 'c'], 'B': ['d', 'e', 'f']})
In [2]: df.dtypes
Out[2]:
A object
B object
dtype: object
In [3]: df1 = df.convert_dtypes()
In [4]: df1.dtypes
Out[4]:
A string # <------ exp... | {
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```python
>>>pd.date_range(start='1/1/2018', periods=5, freq='M')
DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31', '2018-04-30',
'2018-05-31'],
dtype='datetime64[ns]', freq='M')
```
#### Problem description
Why datati... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31733 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31733/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31733/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31733/events | https://github.com/pandas-dev/pandas/pull/31733 | 560,764,258 | MDExOlB1bGxSZXF1ZXN0MzcxNjk2MzYy | 31,733 | Add --quiet option to isort command | {
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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://api.github.com/repos/pandas-dev/pandas/issues/31734 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31734/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31734/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31734/events | https://github.com/pandas-dev/pandas/pull/31734 | 560,775,119 | MDExOlB1bGxSZXF1ZXN0MzcxNzA1MTQy | 31,734 | BUG: list-like to_replace on Categorical.replace is ignored or crash | {
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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
Covers the case where `to_replace` is a list-like and `value` is a string. Other cases, like "`to_replace` is dict and `value` is None", or "`to_rep... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31735 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31735/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31735/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31735/events | https://github.com/pandas-dev/pandas/issues/31735 | 560,782,346 | MDU6SXNzdWU1NjA3ODIzNDY= | 31,735 | BUG: groupby _cython_agg_blocks implicitly assumes unique columns | {
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```
df = pd.DataFrame(
{
"A": pd.date_range("2000", periods=4),
"B": ["a", "b", "c", "d"],
"C": [1, 2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31736 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31736/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31736/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31736/events | https://github.com/pandas-dev/pandas/pull/31736 | 560,785,803 | MDExOlB1bGxSZXF1ZXN0MzcxNzEzODc2 | 31,736 | REF: turn _try_mi into MultiIndex._get_values_for_loc | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31737 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31737/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31737/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31737/events | https://github.com/pandas-dev/pandas/pull/31737 | 560,837,349 | MDExOlB1bGxSZXF1ZXN0MzcxNzU1OTM0 | 31,737 | Backport PR #31723 on branch 1.0.x (DOC: Add 1.0.2 whatsnew) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31739 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31739/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31739/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31739/events | https://github.com/pandas-dev/pandas/issues/31739 | 560,870,782 | MDU6SXNzdWU1NjA4NzA3ODI= | 31,739 | CI: continuous-integration/travis-ci/pr build fails due to unavailable channel | {
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] | closed | false | null | [] | null | 1 | 2020-02-06T09:06:08Z | 2020-02-06T15:44:12Z | 2020-02-06T15:44:12Z | MEMBER | null | #### Problem description
**continuous-integration/travis-ci/pr** build currently seems to fail for everyone, regardless of PR. Error output below:
```
conda env create -q --file=ci/deps/travis-37.yaml
Collecting package metadata (repodata.json): ...working... failed
UnavailableInvalidChannel: The channel is no... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31740 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31740/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31740/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31740/events | https://github.com/pandas-dev/pandas/issues/31740 | 560,889,161 | MDU6SXNzdWU1NjA4ODkxNjE= | 31,740 | matplotlib's xaxis "margin" dropped when plotting using pandas | {
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```python
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(10)
y = x
fig, axs = plt.subplots(2, 1, constrained_layout=True)
axs[0].plot(x, y, linestyle='', marker='.')
axs[0].set_title('matplotlib')
pd.Series(y, index=x).plot(ax=axs[1], linestyle='', mark... | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-02-06T10:22:46Z | 2020-02-13T13:41:55Z | 2020-02-13T13:39:47Z | MEMBER | null | Follow-up on https://github.com/pandas-dev/pandas/pull/31484 to add some more test cases (eg also test the validation done in the `check_array_indexer` (wrong length, missing values), as well for nullable integer arrays), similarly to the tests I added for `__getitem__`.
cc @charlesdong1991 | {
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MAD is a overloaded shortcut: It stands for *M*edian *A*bsolute *D*eviation (more common), but also can be used as *M*ean *A*bsolute *D*eviation (which is used in pandas).
#### Expected Output
To avoid confusion, the method should be renamed from `.mad()` to `.mean_absolute_deviation(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31743 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31743/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31743/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31743/events | https://github.com/pandas-dev/pandas/issues/31743 | 560,969,543 | MDU6SXNzdWU1NjA5Njk1NDM= | 31,743 | pd.to_datetime() Error in MacOS - TypeError(f"dtype {data.dtype} cannot be converted to datetime64[ns]") TypeError: dtype timedelta64[ns] cannot be converted to datetime64[ns] | {
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] | closed | false | null | [] | null | 2 | 2020-02-06T12:05:07Z | 2020-02-17T17:06:16Z | 2020-02-17T17:06:15Z | NONE | null | #### Function Error in MacOS
```python
df = pd.read_csv('filemane.csv', encoding='latin-1')
df1['ProcessFinishTime'] = pd.to_datetime(df1['ProcessFinishTime'],errors='ignore')
df1['ProcessStartTime'] = pd.to_datetime(df1['ProcessStartTime'],errors='ignore')
```
#### Problem description
Hi Guys,
Thi... | {
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... | open | false | null | [] | null | 4 | 2020-02-06T12:17:32Z | 2021-07-28T04:53:51Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# using this:
df['date'].dt.month_name('PL')
# should return this:
df['date'].dt.month_name('PL').str.replace('ñ','ń')
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output ... | {
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- [x] closes #31739
Cc @TomAugspurger
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... | 6 | 2020-02-06T13:40:53Z | 2021-07-28T04:55:04Z | null | CONTRIBUTOR | null | ```python
>>> s = pd.Series(['a', 'b'], dtype='string')
>>> s.max()
TypeError: Cannot perform reduction 'max' with string dtype
>>> df = s.to_frame()
>>> df.max()
0 b
dtype: object
```
#### Problem description
I assume this isn't supposed to work on DataFrames if it doesn't work on strings. min and sum d... | {
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] | closed | false | null | [] | null | 1 | 2020-02-06T13:57:12Z | 2020-02-06T19:03:16Z | 2020-02-06T19:03:16Z | NONE | null | I am trying to open a .parquet file in pandas but I am failing at it. I tried the solution proposed in https://stackoverflow.com/questions/54201799/pandas-cannot-read-parquet-files-created-in-pyspark but it is not working for me.
Does anyone have a clue of how to fix this ?
####
python code:
pd.read_parq... | {
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"followers_url": "https://api.github.... | 4 | 2020-02-06T13:57:26Z | 2020-02-08T08:17:10Z | 2020-02-08T08:11:34Z | CONTRIBUTOR | null | - [x] closes #31615
- [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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### In Python 2, create the `.hdf` file with a `datetime64[ns]` column
```python
#python 2
>>> d = {"data": pd.Timestamp("2020-02-06T18:00")}
>>> df = pd.DataFrame(d, index=[1])
>>> df
data
1 2020-02-06 18:00:00
>>> df.dtypes
data d... | {
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] | closed | false | null | [] | null | 1 | 2020-02-06T17:37:16Z | 2020-08-27T20:18:58Z | 2020-02-08T00:41:34Z | MEMBER | null | This is effectively an alternative approach to #31616, trying to use a 1-pass approach.
This does _not_ address the uniqueness problem discussed in #31735.
cc @TomAugspurger @WillAyd | {
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"followers_url": "https://api.github.... | 1 | 2020-02-06T19:13:09Z | 2020-02-10T12:50:32Z | 2020-02-10T12:50:32Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({'id': [1, 1, 1], 'value': [1, 2, 3]})
def foo(x):
print(type(x))
return 0.0
```
When setting `raw=True`
```
>>> df.groupby("id").value.rolling(1).apply(foo, raw=True, engine='numba')
<class 'pandas.core.series.Serie... | {
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The dtype value wasn't being decoded to `UTF-8` when reading a DataFrame
from a hdf file. This was a problem when reading a hdf that was
created from python 2 with a fixed format as the dtype was being read as `b'datetime'`
instead of `datetime`, which caused `HDFStore` to read the data as
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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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We could add a kwarg to specify if a function ma... | {
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"followers_url": "https://api.github.... | 10 | 2020-02-06T21:11:37Z | 2020-02-21T18:38:13Z | 2020-02-21T18:38:13Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({"key": ["a", "b", "c", "c"], "value": [1, 2, 3, 4]}) ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31761 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31761/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31761/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31761/events | https://github.com/pandas-dev/pandas/pull/31761 | 561,284,341 | MDExOlB1bGxSZXF1ZXN0MzcyMTI0MTA2 | 31,761 | replaced old format strings | {
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ref #29547
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/31762 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31762/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31762/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31762/events | https://github.com/pandas-dev/pandas/issues/31762 | 561,297,557 | MDU6SXNzdWU1NjEyOTc1NTc= | 31,762 | Rolling Apply Docs Broken | {
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"followers_url": "https://api.github.... | 0 | 2020-02-06T22:05:07Z | 2020-03-10T08:35:48Z | 2020-03-10T08:35:48Z | MEMBER | null | A google of "rolling apply" for me yields:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.window.Rolling.apply.html
Which results in an HTTP 403. Working link now is:
https://pandas.pydata.org/docs/reference/api/pandas.core.window.rolling.Rolling.apply.html
As pointed out by @TomAugs... | {
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```python
In [2]: df = pd.DataFrame({'A': ['a', 'b', 'c']}, dtype='string')
In [3]: df.dtypes
Out[3]:
A string
dtype: object
In [4]: df['A'] = 'test'
In [5]: df.dtypes
Out[5]:
A object
dtype: object
In [6]: df['A'] = pd.Series(['test'] * ... | {
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```
cannot do slice indexing on <class 'pandas.core.indexes.datetimes.DatetimeIndex'> with these indexers [key] of <class 'float'>
```
becomes
```
cannot do slice indexing on DatetimeIndex with these indexers [key] of type float"
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https://api.github.com/repos/pandas-dev/pandas/issues/31770 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31770/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31770/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31770/events | https://github.com/pandas-dev/pandas/issues/31770 | 561,530,400 | MDU6SXNzdWU1NjE1MzA0MDA= | 31,770 | read_from_sql() throws TypeError: 'NoneType' object is not iterable in sql.py | {
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```python
import pyodbc
import sys
from contextlib import contextmanager
import textwrap
import pandas as pd
@contextmanager
def open_db_connection(connection_string):
pyodbc.pooling = False
connection = pyodbc.connect(connection_string)
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"followers_url": "https://api.github.com/users/j... | 9 | 2020-02-07T11:39:00Z | 2020-12-12T23:28:05Z | 2020-12-12T23:28:05Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({'id': [], 'first_name': [], 'last_name': []}).set_index('id')
print(df.to_markdown())
```
```
| id | first_name | last_name |
||
```
#### Problem description
The markdown output of empty DataF... | {
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```
In [33]: df = pd.DataFrame({'A': ['a', 'b', 'c']}, dtype='string')
In [34]: df.loc[0:, 'A'] = "test"
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-34-bc65087be9d7> in <module>
----... | {
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"followers_url": "https://api.github.... | 2 | 2020-02-07T12:03:45Z | 2020-02-12T13:14:26Z | 2020-02-12T12:38:27Z | MEMBER | null | Closes #31772 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31774 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31774/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31774/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31774/events | https://github.com/pandas-dev/pandas/issues/31774 | 561,619,074 | MDU6SXNzdWU1NjE2MTkwNzQ= | 31,774 | REGR: Timestamp subtraction raises TypeError, Non informative | {
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"followers_url": "https://api.github.... | 8 | 2020-02-07T12:51:01Z | 2020-03-11T01:45:54Z | 2020-03-11T01:45:54Z | NONE | null | #### Code Sample
```python
import pandas as pd
print(pd.Timestamp('2101-01-01 00:00:00') - pd.Timestamp('1688-01-01 00:00:00'))
```
Outputs:
```
TypeError: unsupported operand type(s) for -: 'Timestamp' and 'Timestamp'
```
#### Problem description
The difference between the timestamps is too large for... | {
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Similar to DataFrame.sample method, can we have Groupby.sample method which gives us a Dictionary{'group_name'->'group_labels'} containing n randoml... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31776 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31776/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31776/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31776/events | https://github.com/pandas-dev/pandas/issues/31776 | 561,650,453 | MDU6SXNzdWU1NjE2NTA0NTM= | 31,776 | cannot import name 'OrderedDict' | {
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trying to work on collab and panda failed to import 'OrderedDict'
here is the code
import pandas as pd
data = pd.read_csv('/content/causalnex/fulcase_causal.csv', delimiter=';', index_col=0)
data.head(5)
here is the message
/usr/local/lib/python3.6/dist-packages/pand... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31777 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31777/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31777/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31777/events | https://github.com/pandas-dev/pandas/issues/31777 | 561,673,055 | MDU6SXNzdWU1NjE2NzMwNTU= | 31,777 | GroupBy aggregation of DataFrame with MultiIndex columns breaks with custom function | {
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"followers_url": "https://api.github.... | 4 | 2020-02-07T14:33:09Z | 2020-03-12T02:32:55Z | 2020-03-12T02:32:55Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame(
np.random.rand(10, 4),
columns=pd.MultiIndex.from_product([[1, 2], [3, 4]]))
grp = df.groupby(np.r_[np.ones(5), np.zeros(5)])
grp.agg(lambda s: s.mean())
```
#### Problem description
The above call raises
```python
V... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31778 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31778/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31778/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31778/events | https://github.com/pandas-dev/pandas/issues/31778 | 561,683,368 | MDU6SXNzdWU1NjE2ODMzNjg= | 31,778 | Error: tuple index out of range | {
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dims = np.shape(df)
print(dims)
O/P
(142, 3)
I/P
pixel_matrix = np.reshape(df, (dims[0]* dims[1], dims[2]))
print(np.shape(pixel_matrix))
O/P
IndexError Traceback (most recent call last)
<ipython-input-71-0f88d37eb802> in <module>
----> 1 pixel_matrix = np.reshape(df, (di... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31779 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31779/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31779/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31779/events | https://github.com/pandas-dev/pandas/issues/31779 | 561,696,081 | MDU6SXNzdWU1NjE2OTYwODE= | 31,779 | Categorical.from_codes fails for the (new nullable) Int64 dtype | {
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"description": "Categorical Data Type",
... | closed | false | null | [] | {
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"followers_url": "https://api.github.... | 1 | 2020-02-07T15:10:35Z | 2020-02-12T14:12:51Z | 2020-02-12T12:36:51Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd
>>> codes = pd.Series([1, 0], dtype="Int64")
>>> pd.Categorical.from_codes(codes, categories=["foo", "bar"])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File ".../lib/python3.7/site-packages/p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31780 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31780/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31780/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31780/events | https://github.com/pandas-dev/pandas/issues/31780 | 561,703,265 | MDU6SXNzdWU1NjE3MDMyNjU= | 31,780 | Groupby get_group is not consistent - sometimes it returns the grouping columns, sometimes it doesn't | {
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] | closed | false | null | [] | null | 1 | 2020-02-07T15:22:36Z | 2020-09-09T12:37:30Z | 2020-09-09T12:37:30Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame(
{"a": range(50), "b": range(0, 100, 2), "c": list(range(10)) * 5}
)
grouper = df.groupby("c")
grouper.get_group(0)
```
#### Problem description
This is quite weird and unfortunately I can't repli... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31781 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31781/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31781/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31781/events | https://github.com/pandas-dev/pandas/issues/31781 | 561,706,557 | MDU6SXNzdWU1NjE3MDY1NTc= | 31,781 | numpy.core._exceptions while resample using spline interpolation | {
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"color": "207de5",
"default": false,
"description": "resample method",
"i... | closed | false | null | [] | null | 1 | 2020-02-07T15:28:28Z | 2021-07-28T05:01:12Z | 2021-07-28T05:01:12Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
time value1 value2 value3
run_id
19 00:00:00 14.45 1000.0 5.800000
19 00:00:00.010000 14.45 1000.0 5.591578
19 00:00:00.020000 14.45 1000.0 5.878844
19 00:00:0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31782 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31782/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31782/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31782/events | https://github.com/pandas-dev/pandas/issues/31782 | 561,708,785 | MDU6SXNzdWU1NjE3MDg3ODU= | 31,782 | Different behavior of numpy functions when used as a Python lambda function | {
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```python
import pandas as pd
import numpy as np
df = pd.DataFrame().from_dict({"a": [1, 1, 1, 1], "b": [1, 2, 3, 4]})
df
a b
0 1 1
1 1 2
2 1 3
3 1 4
gdf = df.groupby("a")
gdf['b'].agg([("std1", lambda x: np.std(x))]) # ddo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31783 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31783/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31783/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31783/events | https://github.com/pandas-dev/pandas/issues/31783 | 561,716,539 | MDU6SXNzdWU1NjE3MTY1Mzk= | 31,783 | read_excel error for header=None and index_col as list | {
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"default": false,
"description": "read_excel, to_excel",
... | closed | false | null | [] | {
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```python
import pandas as pd
df = pd.read_excel('Book1.xlsx', header=None, index_col = [0, 1])
```
#### Problem description
Above leads to the following error. This seems to be related to the combination of header=None and index_col as a list. If I give an integer index_col, or leave out h... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31784 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31784/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31784/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31784/events | https://github.com/pandas-dev/pandas/issues/31784 | 561,722,585 | MDU6SXNzdWU1NjE3MjI1ODU= | 31,784 | BUG: DataFrame._item_cache not cleared on on .copy() | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2020-02-07T15:54:02Z | 2020-04-06T14:35:32Z | 2020-04-06T14:33:38Z | NONE | null | #### Code Sample, a copy-pastable example if possible
import copy
import pandas as pd
import platform
print('Python Version', platform.python_version())
print('Pandas Version', pd.__version__)
a = [1.]
d = {}
d['a'] = a
df = pd.DataFrame(d)
print('Initial data frame')
print(df)
print('------'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31785 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31785/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31785/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31785/events | https://github.com/pandas-dev/pandas/issues/31785 | 561,754,012 | MDU6SXNzdWU1NjE3NTQwMTI= | 31,785 | Crash when using align between a Series and a DataFrame and ffill (or bfill) method | {
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"followers_url": "https://api.github.... | 3 | 2020-02-07T16:49:59Z | 2020-02-09T17:12:59Z | 2020-02-09T17:12:59Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas as pd
x = pd.Series(range(10), index=range(10))
y = pd.DataFrame(0.0, index=range(20), columns=range(12))
# works fine (no fill method)
x.align(y)
# crash
x.align(y, method='ffill')
# works fine if x is co... | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-02-07T18:12:27Z | 2020-02-10T20:10:01Z | 2020-02-09T17:06:36Z | MEMBER | null | _convert_slice_indexer is turning out to be one of the stickier methods to figure out, xref #31658.
The case with kind=None is only called from one place in core.indexing, and that is not reached in the tests. I'd like to either a) figure out a non-None kind to pass to it, or b) determine that it can never be reach... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31787 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31787/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31787/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31787/events | https://github.com/pandas-dev/pandas/issues/31787 | 561,800,459 | MDU6SXNzdWU1NjE4MDA0NTk= | 31,787 | plotting backends doesn't plot for the first time after importing pandas | {
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] | closed | false | null | [] | null | 4 | 2020-02-07T18:28:42Z | 2020-02-15T05:07:15Z | 2020-02-15T05:07:15Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
pd.set_option('plotting.backend', 'matplotlib')
pd.Series([1, 2, 3]).plot()
```
```python
import pandas as pd
pd.options.plotting.backend = 'matplotlib'
pd.Series([1, 2, 3]).plot()
```
```python
import pandas as pd
pd.Ser... | {
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The type checking was too aggressive. ``right`` has type ``Any``, so the wrapping in ``_ensure_type`` should not be done. | {
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"followers_url": "https://api.github.... | 1 | 2020-02-07T19:24:00Z | 2020-02-10T17:51:32Z | 2020-02-10T17:51:32Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
srs1 = pd.Series(np.random.rand(11521),pd.date_range('2019-08-15', '2019-08-23',freq='1T'))
srs2 = pd.Series(np.random.rand(11521),pd.date_range('2019-08-15', '2019-08-23',freq='1T'))
srs1.rolling(pd.to_timedelta("12H")).corr(srs2)
```
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
After #31130 got merged, I can do what I couldn't do [here](https://github.com/pandas-dev/pandas/pull/30998#discussion_r368177775)
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- [ ] tests added / passed
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of different origin. The first timestamp comes from a function using the `arrow`
package. The timestamp is in UTC timezone. The other timestamp comes for another
package returning a `pandas.DataFrame`, also with UTC timestamps. An excepti... | {
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Will close #8745
Screenshot of examples
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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
screenshot of the example
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https://api.github.com/repos/pandas-dev/pandas/issues/31797 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31797/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31797/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31797/events | https://github.com/pandas-dev/pandas/pull/31797 | 561,903,650 | MDExOlB1bGxSZXF1ZXN0MzcyNjI3NDA1 | 31,797 | CLN: assorted indexing-related cleanups | {
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- avoid using private loc method from DataFrame
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https://api.github.com/repos/pandas-dev/pandas/issues/31798 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31798/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31798/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31798/events | https://github.com/pandas-dev/pandas/issues/31798 | 561,927,138 | MDU6SXNzdWU1NjE5MjcxMzg= | 31,798 | Failed to create the storer for xarray on HDFStore | {
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```python
import pandas as pd
import xarray as xr
import tempfile
def test_hdfstore():
with tempfile.NamedTemporaryFile('r', suffix='.hdf') as f:
with pd.HDFStore(f.name, "a") as store... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31799 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31799/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31799/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31799/events | https://github.com/pandas-dev/pandas/pull/31799 | 561,933,462 | MDExOlB1bGxSZXF1ZXN0MzcyNjUxNzQ1 | 31,799 | Added pd.NA to nulls_fixture | {
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I think we should do this. Simply xfailed issues up for discussion on how to resolve
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https://api.github.com/repos/pandas-dev/pandas/issues/31800 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31800/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31800/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31800/events | https://github.com/pandas-dev/pandas/pull/31800 | 561,937,228 | MDExOlB1bGxSZXF1ZXN0MzcyNjU0NTM3 | 31,800 | CI Fix w/o tm helper | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31801 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31801/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31801/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31801/events | https://github.com/pandas-dev/pandas/issues/31801 | 561,939,938 | MDU6SXNzdWU1NjE5Mzk5Mzg= | 31,801 | to_json index with Null Value Broken in 1.0 | {
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"description": "Functionality that used ... | open | false | null | [] | null | 5 | 2020-02-08T00:36:42Z | 2020-05-08T21:24:26Z | null | MEMBER | null | Discovered by @ArtificialQualia in #31748
Previous behavior on 0.25.3:
```python
>>> pd.Series([1], index=[np.nan]).to_json()
'{"null":1}'
>>> pd.Series([1], index=[pd.NaT]).to_json()
'{"null":1}'
>>> pd.Series([1], index=[None]).to_json()
'{"null":1}'
```
And now on master:
```python
>>> pd.Series(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31802/events | https://github.com/pandas-dev/pandas/issues/31802 | 561,949,344 | MDU6SXNzdWU1NjE5NDkzNDQ= | 31,802 | REGR: cumsum regression with groupby call to agg | {
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I want to define a custom function that I can pass to the `agg` method. It uses the `cumsum` method, which appears to be problematic recently.
```python
# Your code here
import pandas as pd
def max_test(s):
return s.cumsum().max()
#return s.max(... | {
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"color": "53... | closed | false | null | [] | null | 0 | 2020-02-08T03:56:53Z | 2020-02-11T15:45:23Z | 2020-02-11T15:45:23Z | MEMBER | null | Internally we only use this in a couple of places, so it would be easy to remove. It shows up in user_guide/advanced and in the 0.14.0 release notes.
Without it we could reduce some complexity in the indexing code. | {
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```python
from numpy import NaN
row = [2015, 1, 7.0, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 0.4, NaN, NaN, NaN]
print([type(i) for i in row])
columns = ['year', 'month', 'day', '平均風速', '最大風速', '最大風向', '最大風速時間', '最大瞬間風速',
'最大瞬間風向','最大瞬間時間', '最多風向... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31806 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31806/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31806/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31806/events | https://github.com/pandas-dev/pandas/issues/31806 | 562,003,701 | MDU6SXNzdWU1NjIwMDM3MDE= | 31,806 | Series.str.contains Question | {
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```python
# df is a DataFrame contains column "title", then I filter df by column "title" below, it works.
useless = df[df["title"].str.contains(r"[\d]+[册|本]", regex=True)]
# but I want a not contains value below, it raise error: ValueError: The truth value of a Series is am... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31807 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31807/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31807/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31807/events | https://github.com/pandas-dev/pandas/issues/31807 | 562,003,808 | MDU6SXNzdWU1NjIwMDM4MDg= | 31,807 | Not contains Question | {
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```python
# df is a DataFrame contains column "title", then I filter df by column "title" below, it works.
useless = df[df["title"].str.contains(r"[\d]+[册|本]", regex=True)]
# but I want a not contains value below, it raise error: ValueError: The truth value of a Series is am... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31808 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31808/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31808/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31808/events | https://github.com/pandas-dev/pandas/pull/31808 | 562,020,426 | MDExOlB1bGxSZXF1ZXN0MzcyNzE1ODU4 | 31,808 | CLN: some code cleanups in pandas/_libs/ | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [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/31809 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31809/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31809/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31809/events | https://github.com/pandas-dev/pandas/pull/31809 | 562,064,369 | MDExOlB1bGxSZXF1ZXN0MzcyNzQ4NTc2 | 31,809 | ENH: add 'origin' and 'offset' arguments to 'resample' and 'pd.Grouper' | {
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----
Hello,
This enhancement is an alternative to the `base` argument present in `pd.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31810 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31810/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31810/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31810/events | https://github.com/pandas-dev/pandas/issues/31810 | 562,069,995 | MDU6SXNzdWU1NjIwNjk5OTU= | 31,810 | BUG/API: df.loc[a, b] = c allows positional slice for a | {
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dti = pd.date_range("2016-01-01", periods=5)
df = pd.DataFrame(np.random.randn(5, 2), index=dti, columns=["A", "B"])
>>> df.loc[4:6, "A"]
TypeError: cannot do slice indexing on DatetimeIndex with these indexers [4] of type int
>>> df.loc[4:6, "A"] = 0
# works as if we did df.iloc[4:6, 0] = 0
```
In th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31811 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31811/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31811/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31811/events | https://github.com/pandas-dev/pandas/issues/31811 | 562,088,983 | MDU6SXNzdWU1NjIwODg5ODM= | 31,811 | groupby returns non-pertinent combinations in result | {
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```python
import pandas as pd
d1 = ['foo', 'bar'] * 50
d2 = list('ABCD' * 25)
d3 = pd.date_range('2019-01-01', periods=100, freq='D')
d4 = list(range(1, 101, 1))
d5 = list(range(1000, 100001, 1000))
df = pd.DataFrame(dict(col1=d1, col2=d2, col3=d3, c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31812 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31812/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31812/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31812/events | https://github.com/pandas-dev/pandas/pull/31812 | 562,094,967 | MDExOlB1bGxSZXF1ZXN0MzcyNzcwNzIw | 31,812 | CLN: tests.indexing.common | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31813/events | https://github.com/pandas-dev/pandas/pull/31813 | 562,100,985 | MDExOlB1bGxSZXF1ZXN0MzcyNzc0OTA4 | 31,813 | BUG: iloc setitem with 3d indexer not raising | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
also get the exceptions/messages in test_setitem_ndarray_3d to be maximally-specific | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31814/events | https://github.com/pandas-dev/pandas/pull/31814 | 562,112,496 | MDExOlB1bGxSZXF1ZXN0MzcyNzgzMTQw | 31,814 | REF: use public indexers in groupby.ops | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31815/events | https://github.com/pandas-dev/pandas/pull/31815 | 562,112,648 | MDExOlB1bGxSZXF1ZXN0MzcyNzgzMjUz | 31,815 | check parser_dates names in columns | {
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columns exist in dataframe.
- [x] closes #31251
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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