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```python
In [5]: idx = pd.date_range('2000', periods=4, tz="US/Central")
In [6]: idx.tz
Out[6]: <DstTzInfo 'US/Central' LMT-1 day, 18:09:00 STD>
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In [16]: df = pd.DataFrame({"A": pd.date_range('2000', periods=12, tz='US/Central')})
In [17]: df.to_xarray()
/Users/taugspurger/Envs/pandas-dev/lib/python3.7/site-packages/xarray/core/dataset.py:3111: FutureWarning: Converting timezone-aware DatetimeArray to timezone-naive ndarray with 'datetime64[ns]' ... | {
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```python
import pandas as pd
# Case 1
df = pd.Series(data=[2], index=pd.date_range('2000', periods=1))
s = df.rolling('10D', closed='left').max()
print(s)
# Case 2 -- by groupby
df = pd.DataFrame(data={'A':[1,1,2],'B': [3,2,1]}, index=pd.date_range('2000', periods=3))
s = df.groupby('A'... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
import numpy as np
import pandas as pd
# Consider this Numpy 2D array and the equivalent Pandas dataframe
nmat = np.array([[1,2,3],[4,5,6],[7,8,9]])
pmat = pd.DataFrame(nmat)
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/24722 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24722/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24722/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24722/events | https://github.com/pandas-dev/pandas/issues/24722 | 398,234,992 | MDU6SXNzdWUzOTgyMzQ5OTI= | 24,722 | conditionals do not propagate missing data | {
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] | closed | false | null | [] | null | 1 | 2019-01-11T10:48:03Z | 2019-01-11T15:55:57Z | 2019-01-11T15:55:57Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
a=pd.Series([0, 1, np.NaN])
b = a>0
b
```
#### Problem description
The missing value becomes false
```python
0 False
1 True
2 False
dtype: bool
```
I expect missing values to be propagated in a conditional expression. It should... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24723 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24723/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24723/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24723/events | https://github.com/pandas-dev/pandas/pull/24723 | 398,239,318 | MDExOlB1bGxSZXF1ZXN0MjQzOTg0NjIz | 24,723 | TimedeltaArray freq validation without _from_sequence | {
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"followers_url": "https://api.github... | 9 | 2019-01-11T10:58:21Z | 2019-01-14T15:52:09Z | 2019-01-11T14:07:53Z | MEMBER | null | This aligns `TimedeltaArray.__init__` with `DatetimeArray.__init__`, using the same approach how @jbrockmendel now handled the freq validation in `DatetimeArray` in the merged https://github.com/pandas-dev/pandas/pull/24686
First commits removes usage of `from_sequence` (from https://github.com/pandas-dev/pandas/pull... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24724 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24724/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24724/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24724/events | https://github.com/pandas-dev/pandas/pull/24724 | 398,323,587 | MDExOlB1bGxSZXF1ZXN0MjQ0MDQ5ODgx | 24,724 | BUG: Switched shapes in ValueError msg in DataFrame construct (#20742) | {
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- [x] closes #20742
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24725 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24725/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24725/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24725/events | https://github.com/pandas-dev/pandas/pull/24725 | 398,329,256 | MDExOlB1bGxSZXF1ZXN0MjQ0MDU0MzIz | 24,725 | BUG: Switched shapes in ValueError msg in DataFrame construct (#20742) | {
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"followers_url": "https://api.github... | 3 | 2019-01-11T15:13:07Z | 2019-01-18T16:53:41Z | 2019-01-18T16:53:36Z | CONTRIBUTOR | null | - [x] closes #20742
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24726 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24726/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24726/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24726/events | https://github.com/pandas-dev/pandas/issues/24726 | 398,360,092 | MDU6SXNzdWUzOTgzNjAwOTI= | 24,726 | Inconsistent handling of NaN in Timedelta comparison | {
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```python
import pandas as pd
import numpy as np
df = pd.DataFrame({
'td': [
pd.Timedelta(days=1),
pd.Timedelta(days=3),
np.nan,
],
})
# Comparison of NaN evaluates to True
df > pd.Timedelta(days=2)
# Comparison o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24727 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24727/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24727/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24727/events | https://github.com/pandas-dev/pandas/issues/24727 | 398,363,360 | MDU6SXNzdWUzOTgzNjMzNjA= | 24,727 | Doc make.py clean | {
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] | closed | false | null | [] | null | 2 | 2019-01-11T16:35:03Z | 2019-01-24T14:44:11Z | 2019-01-24T14:44:11Z | CONTRIBUTOR | null | @jorisvandenbossche @datapythonista currently `_sphinx_build` in `doc/make.py` always calls `clean`. Do you know why that was added?
My doc-build process in https://github.com/pandas-dev/pandas-release assumes that I can do `make.py html` and `make.py latex_forced`.
An option to not clean would be fine by me. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24728 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24728/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24728/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24728/events | https://github.com/pandas-dev/pandas/issues/24728 | 398,384,970 | MDU6SXNzdWUzOTgzODQ5NzA= | 24,728 | corr return without duplicates and sorted by correlation strength | {
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Functionalized example of what I'm seeking to implement in `pandas` as a `corr` argument or separate function:
```python
import numpy as np
import pandas as pd
def correlate_sort(df: pd.DataFrame, method: str = 'pearson') -> pd.DataFrame:
"""
pd.DataFra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24729 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24729/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24729/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24729/events | https://github.com/pandas-dev/pandas/issues/24729 | 398,387,517 | MDU6SXNzdWUzOTgzODc1MTc= | 24,729 | Multiple unstack in multi level columns DataFrame | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-01-11T17:41:22Z | 2020-03-26T20:08:08Z | 2020-03-26T20:08:08Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
from six import StringIO
stats = pd.DataFrame({('B', 'C'):
{
(10, 20, 30): 0.0,
(10, 20, 40): 0.0
},
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24730 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24730/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24730/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24730/events | https://github.com/pandas-dev/pandas/issues/24730 | 398,405,477 | MDU6SXNzdWUzOTg0MDU0Nzc= | 24,730 | changing order of keys? | {
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```python
import pandas as pd
import sys
print("pandas version is", pd.__version__)
print("Python version is", sys.version)
x = pd.DataFrame({'a':[1, 2, 1, 2, 1, 2, 1, 2], 'b':range(8)})
y = pd.DataFrame({'a':[1, 2]})
print("original x")
print(x)
pri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24731 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24731/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24731/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24731/events | https://github.com/pandas-dev/pandas/pull/24731 | 398,418,266 | MDExOlB1bGxSZXF1ZXN0MjQ0MTIzMjQ5 | 24,731 | Change MultiIndex repr (labels -> codes) | {
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"color": "207de... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 3 | 2019-01-11T19:18:11Z | 2019-01-13T19:49:48Z | 2019-01-13T19:01:43Z | CONTRIBUTOR | null | As I mentioned in https://github.com/pandas-dev/pandas/pull/22511#issuecomment-451667687, the repr for MultiIndex ATM uses ``labels``, even though the parameter/attribute has been changed to ``codes``.
```python
>>> mi = pd.MultiIndex.from_product([[8,9,0], ['a', 'b', 'c']])
>>> MultiIndex(levels=[[0, 8, 9], ['a',... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24732 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24732/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24732/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24732/events | https://github.com/pandas-dev/pandas/pull/24732 | 398,445,214 | MDExOlB1bGxSZXF1ZXN0MjQ0MTQ0MjI2 | 24,732 | BUG: Prevent 3D-ndarray for nested tuple labels (#24687) | {
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] | closed | false | null | [] | null | 11 | 2019-01-11T20:44:11Z | 2019-01-16T02:13:01Z | 2019-01-16T02:13:01Z | NONE | null | Being a very rare issue encountered with nested tuples as column and index labels, here is the fix I've managed to come up with - for the time being. While `clean_index_list()` in `pandas/_libs/lib.pyx` is responsible for returning an invalid result (a 3D ndarray where the inner dimensions should be nested tuples), de... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24733 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24733/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24733/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24733/events | https://github.com/pandas-dev/pandas/pull/24733 | 398,449,001 | MDExOlB1bGxSZXF1ZXN0MjQ0MTQ3MTYz | 24,733 | BUG-24212 fix usage of Index.take in pd.merge | {
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"followers_url": "https://api.github... | 5 | 2019-01-11T20:57:04Z | 2019-01-20T16:02:53Z | 2019-01-20T16:02:43Z | CONTRIBUTOR | null | - [X] closes #24212
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
The use of `Index.take` in `pd.merge` to create `join_index` causes an indexer with -1 values to take the last value in the index being taken from. This PR allows it to correctl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24734 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24734/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24734/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24734/events | https://github.com/pandas-dev/pandas/issues/24734 | 398,451,527 | MDU6SXNzdWUzOTg0NTE1Mjc= | 24,734 | read_excel and read_csv doesn't read the entire file (3121/5063 rows) | {
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"... | closed | false | null | [] | null | 6 | 2019-01-11T21:05:36Z | 2019-12-23T06:09:45Z | 2019-01-14T17:30:50Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
ML_df = pd.read_excel('gex-globalexplorer-ML_df.xlsx',error_bad_lines=False)
ML_df = pd.read_table('gex-globalexplorer-ML_df.csv', error_bad_lines=False)
```
[gex-globalexplorer-ML_df.xlsx](https://github.com/pandas-dev/pandas/files/2753283/gex-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24735 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24735/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24735/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24735/events | https://github.com/pandas-dev/pandas/pull/24735 | 398,472,280 | MDExOlB1bGxSZXF1ZXN0MjQ0MTY1MzAx | 24,735 | PERF: fix some of .clip() performance regression by using numpy arrays where possible | {
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"followers_url": "https://api.github... | 5 | 2019-01-11T22:17:21Z | 2019-01-20T16:05:11Z | 2019-01-20T16:05:08Z | CONTRIBUTOR | null | A recent change to respect dtypes in `.clip()` (https://github.com/pandas-dev/pandas/pull/24458) introduced a decent overhead of ~2ms to the call:
```
$ asv compare v0.23.4 v0.24.0rc1 --only-changed
before after ratio
[04095216] [fdc4db25]
<v0.23.4^0> <v0.24.0rc1^0>
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https://api.github.com/repos/pandas-dev/pandas/issues/24736 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24736/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24736/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24736/events | https://github.com/pandas-dev/pandas/pull/24736 | 398,487,178 | MDExOlB1bGxSZXF1ZXN0MjQ0MTc2NzMx | 24,736 | TST: avoid DST transitions when testing DateTimeIndex roundtrip | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24737 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24737/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24737/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24737/events | https://github.com/pandas-dev/pandas/pull/24737 | 398,503,358 | MDExOlB1bGxSZXF1ZXN0MjQ0MTg4NDk3 | 24,737 | PERF: leverage tzlocal package to provide 2000x speedup for dateutil.tz.tzlocal operations | {
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```
[ 53.12%] ··· timeseries.DatetimeIndex.time_add_timedelta ok
[ 5... | {
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"followers_url": "https://api.github... | 5 | 2019-01-12T02:08:51Z | 2019-01-21T14:18:14Z | 2019-01-21T14:18:14Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
datetime_index = pd.DatetimeIndex(['2017-08-01', '2017-08-02'])
print(datetime_index)
# DatetimeIndex(['2017-08-01', '2017-08-02'], dtype='datetime64[ns]', freq=None)
print(datetime_index.dtype)
# datetime64[ns]
infered_dtyp... | {
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"followers_url": "https://api.github... | 4 | 2019-01-12T09:33:27Z | 2019-01-22T23:29:34Z | 2019-01-22T23:29:34Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
ds = pd.DataFrame({"a": [1, 2, 3], "b": ["a", "b", "c"]})
ds["b"] = ds["b"].astype("category")
ds['b'].cat.remove_categories(['a'], inplace=True)
# works
ds.groupby("b").groups
# gives ValueError: Categorial categories ... | {
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```python
# Your code here
In[63]: type(lab.values)
Out[64]: list
In[65]: len(lab.values)
Out[66]: 56
In[67]: pd.concat([lab.values[i].head(1) for i in range(22)])
Out[68]:
R ... ... | {
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"followers_url": "https://api.github... | 5 | 2019-01-12T18:19:43Z | 2019-01-13T18:54:22Z | 2019-01-13T18:54:17Z | CONTRIBUTOR | null | Surprisingly, the majority of the time spent in constructing a `Series` from a dict with `datetime`-like keys is spent formatting the keys into strings for an error message that gets suppressed.
As there's a test ensuring the string case makes it into the error message, we preserve the behavior there. In non-string ... | {
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"followers_url": "https://api.github... | 4 | 2019-01-12T20:51:50Z | 2019-01-13T18:59:04Z | 2019-01-13T18:59:00Z | CONTRIBUTOR | null | - [x] xref #23334
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Hopefully nearing the end of these now..
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asv_bench and doc dir where [added](https://github.com/pandas-dev/pandas/pull/24092/files) to the isort skip section. We should actually check this directory in CI.
Checking doc dir is more effort that its worth ( barely any .py files ) so let's... | {
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"followers_url": "https://api.github... | 5 | 2019-01-13T03:18:08Z | 2019-01-13T23:52:50Z | 2019-01-13T23:52:45Z | CONTRIBUTOR | null | While `.ix` is deprecated, the `DeprecationWarning` itself adds a decent fraction of overhead to calling it. Simply storing the warning string on the class (or global scope) yields a sizable speedup:
```
$ asv compare v0.24.0rc1 HEAD -s --only-changed --sort ratio
before after ratio
[f... | {
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The argumentation is... | {
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- [ ] closes #24472
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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`@pytest.mark.xfail` applied to `test_where_unsafe_itemsize_fail` : does not raise using python index operator instead of `__setitem__` with `tuple` | {
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0.23.4
```python
In [11]: pd.Series(['a', 'b'], dtype='category').cat.categorical.ord... | {
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```python
# 0.23.4
In [1]: import pandas as pd
In [2]: pd.DataFrame({"A": pd.date_range('2000', periods=12)}).mean()
Out[2]: Series([], dtype: float64)
```
```python
# 0.24.0rc1
In [2]: pd.DataFrame({"A": pd.date_range('2000', periods=12)}).mean()
Out[2]:
A 2124-07-04 1... | {
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```python
In [1]: import pandas as pd
In [2]: pd.Index([], dtype='M8')
Out[2]: DatetimeIndex([], dtype='datetime64[ns]', freq=None)
```
In 0.24.0rc1
```python
In [2]: pd.Index([], dtype='M8')
```
```pytb
---------------------------------------------------------------------------
ValueError... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```
doc/source/comparison_with_sas.rst(754,-22): error F821: undefined name 'get_ipython'
Bash exited with code '1'.
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CC: @jreback @FHaase
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https://api.github.com/repos/pandas-dev/pandas/issues/24757 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24757/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24757/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24757/events | https://github.com/pandas-dev/pandas/pull/24757 | 398,713,173 | MDExOlB1bGxSZXF1ZXN0MjQ0MzEzMzY2 | 24,757 | implement+test mean for datetimelike EA/Index/Series | {
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- [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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This fix chec... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Essentially, check that all blocks are are datetimetz type and the same timezone before performing `max`/`min` since datetimetz blocks are only 1D | {
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I create a brand new EC2 instance and run:
1) sudo yum update
2) sudo yum install python36-devel python... | {
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I kept the change for the whatsnew of #22486, to at least not *emphasize* that there are now ambiguous list-likes available for `DataFrame.set_index` (which haven't seen a release yet and would be removed again by #24697), which would/will make movi... | {
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"followers_url": "https://api.github... | 0 | 2019-01-14T11:23:25Z | 2019-01-21T14:19:56Z | 2019-01-21T14:19:56Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>> pd.to_datetime("00:01:18", format='H%:M%:S%', errors='coerce', infer_datetime_format=False)
"00:01:18"
```
#### Problem description
In this example code I have made a mistake with the format `'H%:M%:S%'` it should be `'%H:%M:%S'`
instead. Si... | {
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```python
# Your code here
spark-submit --py-files dataIngestionTool-0.1-py2-none-any.zip,pandas-0.23.4-cp27-cp27mu-manylinux1_x86_64.zip driver.py --job=dataIngestionTool.dataPrepartion.dataIngestion --configLoc=config.cnf
```
#### Problem description
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/24766 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24766/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24766/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24766/events | https://github.com/pandas-dev/pandas/issues/24766 | 398,955,372 | MDU6SXNzdWUzOTg5NTUzNzI= | 24,766 | read_html ignores paragraphs in table cells | {
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... | 13 | 2019-01-14T16:00:26Z | 2021-02-19T03:10:11Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas as pd
html = """
<html>
<body>
<table>
<tr>
<td>
<p>Field 1</p>
<p>Field 2</p>
</td>
<td>
<p>Value 1</p>
<p>Value 2</p>
<... | {
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This seems to be due to the Categorical column (reduced example):
```
In [1]: pd.__version__ ... | {
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```python
import pandas as pd
df_a = pd.DataFrame({'a': [-1, -1, -1]})
df_b = pd.DataFrame({'b': [1, 1, 1]})
df_a['a'] = df_a['a'].astype('Int64')
df_b['b'] = df_b['b'].astype('Int64')
total = pd.concat([df_a, df_b], ignore_index=True)
print(total.dt... | {
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Following this it will be easier to more usefully parametrize some of those tests. | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Should the docstring say that this should return an ExtensionArray when an ExtensionType is passed into it?
I note that PeriodArray behaves like this.
```
import pandas as pd
a=pd.core.arrays.perio... | {
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"followers_url": "https://api.github... | 7 | 2019-01-14T22:33:39Z | 2019-02-13T13:08:28Z | 2019-01-15T14:04:20Z | CONTRIBUTOR | null | This was failing due to http://pandas.pydata.org/pandas-docs/version/0.24.0rc1/whatsnew/v0.24.0.html#dataframe-comparison-operations-broadcasting-changes
I'm surprised the doctests didn't catch this. @datapythonista, `pandas.DataFrame.eq` is included in the API docs at http://pandas-docs.github.io/pandas-docs-travis... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24775 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24775/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24775/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24775/events | https://github.com/pandas-dev/pandas/issues/24775 | 399,119,975 | MDU6SXNzdWUzOTkxMTk5NzU= | 24,775 | BUG: timedelta64 + Timestamp raises | {
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>>> np.timedelta64(3600*10**9, 'ns') + pd.Timestamp.now()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: ufunc add cannot use operands with types dtype('<m8[ns]') and dtype('O')
```
I think we can fix this by defining `Timestamp.__array_priority__` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24776 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24776/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24776/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24776/events | https://github.com/pandas-dev/pandas/pull/24776 | 399,123,459 | MDExOlB1bGxSZXF1ZXN0MjQ0NjI2MDEx | 24,776 | TST/REF: Collect Reduction, Arithmetic Tests | {
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`pd.DataFrame.itertuples()` returns tuples/named tuples containing all columns and possibly the index. This is very inefficient if the DataFrame has many columns but you only need values of a few.
We should add an optional `columns` parameter to specify a subset of columns to return. The ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24778 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24778/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24778/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24778/events | https://github.com/pandas-dev/pandas/issues/24778 | 399,186,481 | MDU6SXNzdWUzOTkxODY0ODE= | 24,778 | Python crash with segmentation failure upon import pandas | {
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] | closed | false | null | [] | null | 5 | 2019-01-15T04:44:56Z | 2019-01-23T04:38:57Z | 2019-01-21T23:57:24Z | NONE | null | --> Import python pandas causes python to crash :
Python 3.7.0a1 (v3.7.0a1:8f51bb436f, Sep 18 2017, 22:34:37)
[GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas
Segmentation fault: 11
```
--> Crash info :
Process: ... | {
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... | closed | false | null | [] | null | 7 | 2019-01-15T05:24:08Z | 2019-10-20T23:35:07Z | 2019-10-20T23:35:06Z | NONE | null | #### python-project-packaging-with-pandas
#### Problem description
I have created a Spark project in Python in which I am using the module pandas and packaged the spark project using wheel as per the these steps: -
>pip wheel -r requirements.txt -w dist
it will create 'wheel' files for all explicit and implicit... | {
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"followers_url": "https://api.github... | 3 | 2019-01-15T06:04:51Z | 2019-01-15T15:55:56Z | 2019-01-15T12:09:12Z | MEMBER | null | Some minor fixes for things that aren't rendering correctly for `IntervalArray` and `IntervalIndex`. I've built the docs locally and the changes look good.
For [`IntervalArray` ](https://pandas-docs.github.io/pandas-docs-travis/api/generated/pandas.IntervalArray.html):
- `IntervalArray.values` doesn't exist, so re... | {
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```
data = {'id': [101, 203, 645, 101, 392, 546, 203],
'items': ['glass', 'table', 'laptop', 'charger', 'mouse', 'phone', 'screen']}
df = pd.DataFrame(data)
id | items
-- | --
101 | glass
203 | table
645 | laptop
101 | charger
392 | mouse
546 | phone
203 | screen
#... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-01-15T16:41:25Z | 2019-02-06T11:04:29Z | 2019-02-06T03:51:07Z | MEMBER | null | ```python-traceback
>>> import pandas as pd
>>> print(pd.__version__)
0.24.0rc1+6.gabfe72d7c.dirty
>>> from pandas import DataFrame
>>> df = DataFrame([1])
>>> df
0
0 1
>>>
>>> df.columns
RangeIndex(start=0, stop=1, step=1)
>>>
>>> result = df.merge(df, left_index=True, right_index=True, suffixes=(None... | {
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import pandas as pd
import numpy as np
s1 = pd.Series(np.random.randn(2), index=[('a', 'b'), ('x', 'y', 'z')])
s1.index.name = 'Idx'
s1.name = 's1'
s2 = pd.Series(np.random.randn(2), index=[('a', 'b'), ('j', 'k', 'l')])
s2.index.name = 'Idx'
s2.name = 's2'
# Result
pd.concat([s1, s2], axis=1, ... | {
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... | open | false | null | [] | null | 3 | 2019-01-15T18:46:48Z | 2021-06-25T05:19:17Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import datetime
import matplotlib.pyplot as plt
from matplotlib.dates import DateFormatter, DayLocator
import matplotlib.ticker as ticker
import matplotlib.dates as mdates
#%matplotlib inline
#comment out any day to show t... | {
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```python
df = pd.DataFrame()
df['Person Name'] = [1,2,3,4,5,6,7,8]
df['ID'] = [1,1,1,1,1,1,1,1]
df.drop_duplicates(['ID','PersonName'])
```
#### Problem description
When we provide a subset of columns to pandas drop duplicates, it only requires *1* of tho... | {
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... | 1 | 2019-01-15T19:04:20Z | 2021-06-25T05:19:49Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>> df = pd.DataFrame(
{'a': list(range(10))},
index=pd.MultiIndex.from_arrays(
[[0,1,0,1,0,1,0,1,0,1], [0,1,2,0,1,2,0,1,2,0]],
names=['l1', 'l2'])
)
>>> df
a
l1 l2
0 0 0
1 1 1
0 2 2
1 0 3
0... | {
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```python
>>> import pandas as pd
>>> from astropy.table import QTable
>>> import astropy.units as u
>>> from astropy.time import Time, TimeDelta
>>> from astropy.coordinates import SkyCoord
>>> ... | {
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```python
# let's first create a Timestamp and assign it to a timezone
>>> import pytz
>>> from pytz import timezone
>>> import pandas as pd
>>> dtest = pd.to_datetime("Sunday, July 28, 2018 10:00 AM", infer_datetime_format=True).replace(tzinfo=timezone('Ame... | {
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"followers_url": "https://api.github... | 2 | 2019-01-15T22:18:20Z | 2019-01-16T16:01:59Z | 2019-01-16T16:01:59Z | CONTRIBUTOR | null | The note at http://pandas.pydata.org/pandas-docs/version/0.24.0rc1/whatsnew/v0.24.0.html#crosstab-preserves-dtypes seems incorrect (it's a code block instead of an ipython block, but after making that change and running it).
On master, I get the same output as 0.23.4
0.23.4
```python
In [1]: import pandas as ... | {
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```python
js = '{"sym7":2.1686229706,"sym6":2.1717643738,"sym8":2.1743240356,"sym11":2.1787643433,"sym10":2.193561554,"sym4":2.1955757141,"sym14":2.2099514008,"sym13":2.2126140594,"sym16":2.2139530182,"sym9":2.2200069427,"sym5":2.2284069061,"sym17":2.2318115234,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24791 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24791/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24791/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24791/events | https://github.com/pandas-dev/pandas/issues/24791 | 399,583,100 | MDU6SXNzdWUzOTk1ODMxMDA= | 24,791 | Add dataset conversion between sklearn and pandas dataframe | {
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There are several convenient datasets available in `sklearn`. They consistently return the [`Bunch`](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html#sklearn.datasets.load_breast_cancer) `sklearn` object. Therefore, it would not be too difficult to ... | {
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"followers_url": "https://api.github... | 3 | 2019-01-16T00:02:24Z | 2019-01-16T02:57:35Z | 2019-01-16T01:34:54Z | MEMBER | null | Looking at the --durations=10 results in the tests, one that stands out is
```
7.08s call pandas/tests/series/test_datetime_values.py::TestSeriesDatetimeValues::test_dt_namespace_accessor
```
It turns out all but about 0.15 seconds of this is spent in a `tm.assert_series_equal` call for a Datetime64TZ Serie... | {
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] | closed | false | null | [] | null | 9 | 2019-01-16T04:29:56Z | 2020-10-29T19:42:16Z | 2019-11-02T00:31:44Z | NONE | null | I get an index error for reading any sas file (sas7bdat) over 2047 columns wide. This issue can be reproduced simply by generating a 2048 column width file in excel, importing into SAS and writing it back out as sas7bdat file then trying to read with read_sas.
[testdata.zip](https://github.com/pandas-dev/pandas/fil... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24795 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24795/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24795/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24795/events | https://github.com/pandas-dev/pandas/pull/24795 | 399,703,502 | MDExOlB1bGxSZXF1ZXN0MjQ1MDY0MzEz | 24,795 | PERF: support parallel calculation of nancorr | {
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... | closed | false | null | [] | null | 6 | 2019-01-16T08:47:15Z | 2019-01-16T16:29:04Z | 2019-01-16T15:15:16Z | CONTRIBUTOR | null | This is a proposal for using openmp to speedup the nancorr function (used by pd.DataFrame.corr).
If this is something that is useful, it can probably be implemented for other cython algorithms implemented in algos.pyx.
Also, the interface has to be decided on: how to choose whether to use parallelization or not, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24796 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24796/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24796/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24796/events | https://github.com/pandas-dev/pandas/issues/24796 | 399,749,257 | MDU6SXNzdWUzOTk3NDkyNTc= | 24,796 | pandas.core.config.OptionError | {
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#### Code Sample
```python
from arepldump import dump
# AREPL 1.0.6
# Name : visual-studio-code-bin
# Version : 1.30.2-1
import pandas as pd
df = pd.DataFrame()
print(df)
```
#### What I expected
Empty DataFrame
Co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24797 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24797/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24797/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24797/events | https://github.com/pandas-dev/pandas/pull/24797 | 399,751,091 | MDExOlB1bGxSZXF1ZXN0MjQ1MTAxMTYw | 24,797 | TST: Add test for C parser handling binary mode | {
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Closes #23779. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24798 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24798/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24798/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24798/events | https://github.com/pandas-dev/pandas/issues/24798 | 399,796,541 | MDU6SXNzdWUzOTk3OTY1NDE= | 24,798 | Assigning values breaks in different ways when duplicate column names | {
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Our primary data with two columns with identical name:
```python
df = pd.DataFrame(np.arange(12).reshape(4, 3).T)
df.columns = list('AABC')
print(df)
"""
A A B C
0 0 3 6 9
1 1 4 7 10
2 2 5 8 11
"""
```
Issue 1a: `Series.replace` ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24799 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24799/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24799/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24799/events | https://github.com/pandas-dev/pandas/pull/24799 | 399,806,755 | MDExOlB1bGxSZXF1ZXN0MjQ1MTQ0OTQ0 | 24,799 | Whatsnew reorganization | {
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"followers_url": "https://api.github... | 6 | 2019-01-16T13:23:18Z | 2019-01-24T14:42:06Z | 2019-01-16T16:23:25Z | CONTRIBUTOR | null | Changes
1. Adds a highlights section (open to suggestions on what should be added / removed from here)
2. Reorders the enhcancements section to be
1. Highlighted features
2. Other features (sections)
3. List of other new features (one-liners)
3. Reorders the "Backwards incompatible changes" section.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24800 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24800/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24800/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24800/events | https://github.com/pandas-dev/pandas/issues/24800 | 399,823,818 | MDU6SXNzdWUzOTk4MjM4MTg= | 24,800 | df.index.map with different size fails for Pandas > 0.22 | {
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... | 6 | 2019-01-16T14:06:08Z | 2020-11-03T14:27:37Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
df = pd.DataFrame({'a': [0,1,2,3],
'b': ['a_1_bar', 'a_2_bar', 'b_1_bar', 'b_2_bar'],
'c': list('defg')})
df = df.set_index(['b','c'])
df.index.map(lambda x: tuple(x[0].split('_')))
```
#### Problem description
The co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24801 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24801/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24801/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24801/events | https://github.com/pandas-dev/pandas/issues/24801 | 399,824,564 | MDU6SXNzdWUzOTk4MjQ1NjQ= | 24,801 | Aggregate on multiple columns with one attribute at the agg function | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24802/events | https://github.com/pandas-dev/pandas/pull/24802 | 399,834,601 | MDExOlB1bGxSZXF1ZXN0MjQ1MTY2OTI1 | 24,802 | Revert unnecessary changes from 22019 | {
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] | closed | false | null | [] | null | 5 | 2019-01-16T14:31:03Z | 2019-01-16T16:02:04Z | 2019-01-16T16:02:00Z | CONTRIBUTOR | null | At the time, https://github.com/pandas-dev/pandas/pull/22019 seemed to
break API in a few places. Since then, those API breaking changes have
disappeared, so the changes to the tests and the release note are no
longer necessary.
This restores the tests to the 0.23.4 version.
Closes https://github.com/pandas-de... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24803 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24803/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24803/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24803/events | https://github.com/pandas-dev/pandas/issues/24803 | 399,851,879 | MDU6SXNzdWUzOTk4NTE4Nzk= | 24,803 | to_csv quoting is inconsistent | {
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] | closed | false | null | [] | null | 4 | 2019-01-16T15:08:00Z | 2019-01-17T15:34:15Z | 2019-01-17T15:34:14Z | NONE | null | #### Code Sample, a copy-pastable example if possible
import tempfile
import csv
import pandas as pd
import numpy as np
data = {'col_1': {0: 3, 2: 2}, 'col_2': {0: 'a', 1: 'b'}}
df = pd.DataFrame.from_dict(data)
assert df['col_1'].dtype == np.dtype('float')
with tempfile.TemporaryFile("w+") as f:
df.... | {
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... | 10 | 2019-01-16T15:59:36Z | 2021-05-21T11:12:15Z | null | CONTRIBUTOR | null | #### Code Sample (pandas 0.23.0)
In [1]:
```
import pandas as pd
s = pd.Series(['abc','123'])
s.str.replace('.','',regex = True)
```
Out [1]:
```
0 abc
1 123
dtype: object
```
#### Problem description
Hi everyone, I was showing str.replace to a colleague and how it uses regex by default and ... | {
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"followers_url": "https://api.github... | 9 | 2019-01-16T16:00:11Z | 2019-01-20T16:01:33Z | 2019-01-20T16:01:33Z | NONE | null | #### Code Sample
```python
import pandas as pd
NUM_ROWS = 1000
CHUNKSIZE = 20
with open('test.csv', 'w') as f:
for i in range(NUM_ROWS):
f.write('{}\n'.format(i))
for chunk_index, chunk in enumerate(pd.read_csv('test.csv', chunksize=CHUNKSIZE, engine='c')):
print(chunk_index)
`... | {
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"followers_url": "https://api.github... | 12 | 2019-01-16T16:13:26Z | 2019-01-21T14:18:18Z | 2019-01-21T14:18:15Z | CONTRIBUTOR | null | This deprecates passing dtypes without a precision to DatetimeIndex
and TimedeltaIndex
```python
In [2]: pd.DatetimeIndex(['2000'], dtype='datetime64')
/Users/taugspurger/.virtualenvs/pandas-dev/bin/ipython:1: FutureWarning: Passing in 'datetime64' dtype with no precision is deprecated
and will raise in a future... | {
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... | 3 | 2019-01-16T18:14:28Z | 2019-05-08T15:12:07Z | 2019-05-08T15:12:07Z | NONE | null | I was going through the [`enhancingperf`](../blob/master/doc/source/enhancingperf.rst) document recently and realised that the saying:
> **Note:** Loops like this would be extremely slow in Python, but in Cython looping over NumPy arrays is fast.
doesn't seem to be true any more. Specifically I can implement `ap... | {
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] | closed | false | null | [] | null | 10 | 2019-01-16T21:42:14Z | 2019-01-24T18:13:08Z | 2019-01-24T18:13:08Z | NONE | null | - [ X] closes #24804
- [X ] tests added / passed
- [ X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ X] fix replace pattern problem
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`test_where_unsafe_itemsize_fail` changed to `test_where_upcast` in #24750
this follow-on PR merges `test_where_upcast` into `test_where_unsafe_upcast` to avoid duplication.
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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