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https://api.github.com/repos/pandas-dev/pandas/issues/27313 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27313/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27313/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27313/events | https://github.com/pandas-dev/pandas/pull/27313 | 465,984,440 | MDExOlB1bGxSZXF1ZXN0Mjk1OTE5MDM1 | 27,313 | CLN: Import abc from collections.abc in prep for py3.8 | {
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Azure (multiple):
```
[warning] Using or importing the ABCs from 'collections' instead
of from 'collections.abc' is deprecated, and in 3.8 it will stop working
```
From https://docs.python.org/3/library/collections.html?highlight=collections#modu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27314/events | https://github.com/pandas-dev/pandas/issues/27314 | 465,988,515 | MDU6SXNzdWU0NjU5ODg1MTU= | 27,314 | BUG: pandas merge creating duplicate row | {
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] | closed | false | null | [] | null | 2 | 2019-07-09T21:16:05Z | 2019-07-09T21:43:35Z | 2019-07-09T21:40:09Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
query = """
SELECT risk_state_code, COUNT(*) as num_records
FROM EDW.vw_policy_coverage_deductible_transaction
GROUP BY risk_state_code
"""
bquery = pd.read_sql(query, bvt_conn)
pquery = pd.read_sql(query, prod_conn)
merged = pd.merge(bquery, pq... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27315 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27315/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27315/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27315/events | https://github.com/pandas-dev/pandas/issues/27315 | 466,018,291 | MDU6SXNzdWU0NjYwMTgyOTE= | 27,315 | some argument combinations with reindex fails on an empty dataframe | {
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import pandas as pd
from datetime import datetime, timedelta
end = datetime.utcnow()
begin = end - timedelta(minutes=1)
data_interval = 10
date_index = pd.date_range(start=begin,
end=end,
freq='{} s'.format(data_interval))
df = pd.DataFrame([], ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27316 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27316/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27316/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27316/events | https://github.com/pandas-dev/pandas/issues/27316 | 466,061,384 | MDU6SXNzdWU0NjYwNjEzODQ= | 27,316 | EA: Make validate_fill_value part of interface | {
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- [X] tests added / passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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This PR does the simpler typing of ``Categorical``. In addition there are some more thorny typing that I've stayed away from for now to see if others can implement the basic types (list-likes etc.). | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27319 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27319/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27319/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27319/events | https://github.com/pandas-dev/pandas/issues/27319 | 466,155,645 | MDU6SXNzdWU0NjYxNTU2NDU= | 27,319 | DOC: Error in pd.cut documentation example regarding IntervalIndex usage. | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.cut.html
```
bins = pd.IntervalIndex.from_tuples([(0, 1), (2, 3), (4, 5)])
pd.cut([0, 0.5, 1.5, 2.5, 4.5], bins)
[NaN, (0, 1], NaN, (2, 3], (4, 5]]
Categories (3, interval[int64]): [(0, 1] <... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27320 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27320/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27320/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27320/events | https://github.com/pandas-dev/pandas/issues/27320 | 466,183,320 | MDU6SXNzdWU0NjYxODMzMjA= | 27,320 | [Feature request] slice a sorted dataframe | {
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I have (to be honest) not looked into how the slicing is done as such, but I could imagine parsing the argument "sorted=True" could spee... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27321 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27321/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27321/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27321/events | https://github.com/pandas-dev/pandas/pull/27321 | 466,342,633 | MDExOlB1bGxSZXF1ZXN0Mjk2MjAwMjg0 | 27,321 | BUG: Consistent division by zero behavior for Index/Series | {
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We have two very-similar functions for masking division by zero for Index vs Series. The Index version is the more correct of the two, so I'm trying to make the Series one behave more like the Index one, eventually just using the Index one for both.
The hard part here is that IntegerArray, Sp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27322 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27322/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27322/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27322/events | https://github.com/pandas-dev/pandas/pull/27322 | 466,348,714 | MDExOlB1bGxSZXF1ZXN0Mjk2MjA1MTY0 | 27,322 | BUG: fix inserting tz-aware datetime to Series, closes #12862 | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/27323 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27323/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27323/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27323/events | https://github.com/pandas-dev/pandas/pull/27323 | 466,356,161 | MDExOlB1bGxSZXF1ZXN0Mjk2MjExMjY4 | 27,323 | BUG: Fix insertion of wrong-dtypes NaT into Series[m8ns] | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27324 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27324/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27324/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27324/events | https://github.com/pandas-dev/pandas/pull/27324 | 466,379,885 | MDExOlB1bGxSZXF1ZXN0Mjk2MjMwNzMw | 27,324 | TST/CLN: replace %s formatting syntax with .format in tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27325 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27325/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27325/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27325/events | https://github.com/pandas-dev/pandas/issues/27325 | 466,395,759 | MDU6SXNzdWU0NjYzOTU3NTk= | 27,325 | IndexError when trying to Fill Gaps in Time Series using pd.DataFrame.resample | {
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] | closed | false | null | [] | null | 2 | 2019-07-10T16:06:20Z | 2020-01-21T04:29:47Z | 2020-01-21T04:29:47Z | NONE | null | #### Code Sample
```
df = pd.read_hdf(file_path, key="alarms")
df['acqTime'] = pd.to_datetime(df['acqTime'], unit='s')
df.set_index('acqTime', inplace= True)
df.sort_index(inplace=True)
df = df.resample("2S").fillna("backfill")
```
#### Problem description
I am trying to fill gaps in my time-series by resampli... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27326 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27326/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27326/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27326/events | https://github.com/pandas-dev/pandas/pull/27326 | 466,414,956 | MDExOlB1bGxSZXF1ZXN0Mjk2MjU5MzM2 | 27,326 | BUG: reindex with empty inputs | {
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- [x] closes #27315
- [ ] tests added / passed
- [x] 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/27327 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27327/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27327/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27327/events | https://github.com/pandas-dev/pandas/issues/27327 | 466,507,826 | MDU6SXNzdWU0NjY1MDc4MjY= | 27,327 | Assigning with .loc throws SettingWithCopyWarning despite following instructions in warning | {
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] | closed | false | null | [] | null | 9 | 2019-07-10T20:37:21Z | 2019-07-11T14:29:04Z | 2019-07-11T14:29:04Z | CONTRIBUTOR | null | Happens with some data frames only. I cannot produce a minimal reproducible example, but can pickle the data frame in question if it helps.
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https://api.github.com/repos/pandas-dev/pandas/issues/27328 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27328/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27328/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27328/events | https://github.com/pandas-dev/pandas/issues/27328 | 466,519,777 | MDU6SXNzdWU0NjY1MTk3Nzc= | 27,328 | Allow some way of specifying 'isoformat' as the 'date_format' parameter in 'to_csv' methods | {
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... | 6 | 2019-07-10T21:03:53Z | 2021-06-05T00:05:52Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```
>>> import pandas as pd
>>> mydf = pd.DataFrame.from_dict(dict(dt=[pd.Timestamp('2000-01-01'),pd.Timestamp('2000-01-01 00:00:00.000000001')]))
>>> print(mydf.to_csv(index=False))
dt
2000-01-01 00:00:00.000000000
2000-01-01 00:00:00.000000001
>>> print(... | {
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```
In [29]: Record1 = namedtuple('Record1', ('b','a')) ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27332 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27332/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27332/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27332/events | https://github.com/pandas-dev/pandas/pull/27332 | 466,639,904 | MDExOlB1bGxSZXF1ZXN0Mjk2NDQ1MjAz | 27,332 | CLN: requested follow-ups | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27333 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27333/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27333/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27333/events | https://github.com/pandas-dev/pandas/issues/27333 | 466,644,477 | MDU6SXNzdWU0NjY2NDQ0Nzc= | 27,333 | Automatically remove invalid characters from Bigquery identifiers in df.to_gbq() | {
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```python
# BQ supports limited characters in names
import pandas as pd
import os
from google.oauth2 import service_account
credentialPath = os.path.join('build','keys','build.json')
df = pd.DataFrame({'good_name':[1,3,5,7,4,5,6,4,7,8,9], '*bad*name*':[3,5,... | {
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This is a new attempt to solve issue #16918 after an attempt with PR #27073 | {
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```plain
hypothesis\_settings.py:193: HypothesisDeprecationWarning: The timeout setting can
safely be removed with no effect.
```
Starting with 4.0.0 released in Jan, the timeout setting does [nothing](https://github.com/HypothesisWorks/hypothesis/commit/2b9506b7120c2f0593539c1e5d9b526d7ec1377f).
https://hy... | {
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unwanted results for e.g. offset=MonthEnd when start.time() > end.time()
EXAMPLE:
In [1]: import pandas as pd
In [2]: from datetime import datetime
In [3]: pd.date_range(freq='M', start=datetime(2019, 4, 30, 0, 2), end=datetime(2019,... | {
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```python
import pandas as pd
df = pd.DataFrame()
pd.to_parquet('empty.parquet')
```
#### Problem description
`DataFrame.to_parquet` raises `ValueError: parquet must have string column names` when the dataframe has no columns. `pyarrow` and `fastparqu... | {
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"color": "AD... | closed | false | null | [] | null | 2 | 2019-07-11T16:51:35Z | 2019-07-12T16:35:52Z | 2019-07-12T16:35:39Z | CONTRIBUTOR | null | - [x] closes #26642
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Adds a method ``select_str`` to supplement ``select_dtypes``. This PR is intended to be followed by a PR that deprecate ``NDFrame.filter``.
I mis... | {
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I wrote two tests because `fastparquet` adds a name to the index when it deserializes.
- [x] closes #xxxx
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I think we have quite sophisticated doc string validations, potentially these could migrate to numpydoc.
cc @datapythonista | {
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```python
df = pd.DataFrame.from_records({'ref':['a','a','a','b','b'],
'time':[dt.datetime(2014,12,31), dt.datetime(2015,12,31), dt.datetime(2016,12,31),
dt.datetime(2012,12,31), dt.datetime(2014,... | {
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$ git log --format="%s" | head -n 10
CLN: revisit build warnings in cython templates
ENH: Raise ValueError for unsupported Window functions (#27275)
BUG: fix inserting tz-aware datetime to Series, closes #12862 (#27322)
CLN: requested follow-ups (#27332)
BUG: Consistent division by zero behavior for Index/Se... | {
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- [ ] passes `black pandas`
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Retrying dropped portions from #27157, which amend cython templates, to deal with special-cases based on type. In this Pr, compiler warnings about `x==x` being useless ... | {
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xref #26807
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] passes `black pandas`
Just splitted code into files by classes. No changes made to code
cc @jreback | {
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- [ ] tests added / passed
- [X] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Getting rid the `_take` private method that seems to be no longer needed.
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(This is a feature request stated in the form of a PR.)
This change makes it easy to count the number of times each unique row appears in a data frame. It also removes an unnecessary difference between DataFrame and Series (i.e. the existence of the `value_counts` methods).
```
>>> df = p... | {
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... | 15 | 2019-07-12T05:44:16Z | 2020-05-08T11:50:12Z | 2020-05-08T11:50:12Z | MEMBER | null | Here's a quick little script I wrote to check for things like isinstance(obj, MultiIndex)
```python
import ast
import pathlib
# Taken from pandas.core.dtypes.generic
BAD_NAMES = {'Index', 'Int64Index', 'UInt64Index', 'RangeIndex',
'Float64Index', 'MultiIndex', 'DatetimeIndex', 'TimedeltaIndex',... | {
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only KeyError in this PR as precursor to #25996 | {
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N/A
#### Problem description
I'd like to suggest that the documentation about formatting Excel sheets in the I/O tools page here: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html?highlight=xlsxwriter#style-and-formatting be improved by puttin... | {
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```python
# each line of `data` is a list containing a single dict
data = pd.Series([[{"a": 1, "b": 2}], [{"a": 3, "b": 4}]])
crash = pd.DataFrame.from_records(data)
```
#### Problem description
The above code results in a crash of the jupyter kernel
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Adds a ``regex`` parameter to ``NDFrame.loc.__call__``, so we can now do:
```python
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```python
from pandas import Timestamp, DataFrame
x = dict(a={0: 0.45})
y = dict(b={0: Timestamp('2015-06-19 00:00:00')})
combined = DataFrame(x).combine_first(DataFrame(y))
print(combined)
print(combined.b.dtype)
assert combined.b.dtype.name == 'datet... | {
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adapted from `test_non_matching` in `pandas\tests\indexing\interval\test_interval.py`
```python
>>> import numpy as np
>>> import pandas as pd
>>> pd.__version__
'0.25.0rc0+59.g0437f6899'
>>>
>>> s=pd.Series(np.arange(5), pd.IntervalIndex.from_breaks(np.... | {
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- [ ] tests added / passed
- Not needed. Just a doc change
- [ ] passes `black pandas`
- Not needed. Just a doc change
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- Not needed. Just a doc change
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- [x] closes #20441
- [x] closes #17173
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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1 timezone plotting bug, 1 indexing bug with tz data, 1 timezone data regression test | {
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https://github.com/pandas-dev/pandas/issues/23638
There are some special characters encoded with 'window-1252' in lists
created by 'locale -a'. The two know locales with this problem are
Norwegian 'bokmål', and 'français'.
- [x] closes #24760 Already closed but... | {
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... | open | false | null | [] | null | 0 | 2019-07-12T21:44:59Z | 2021-07-10T18:05:57Z | null | CONTRIBUTOR | null | ``df.groupby(..., observed=True)`` behaves inconsistently for unordered Categoricals:
```python
>>> df = pd.DataFrame({'A': pd.Categorical(['b', 'a']), 'B': [1,2]})
>>> df.groupby('A', observed=False).sum() # ok
B
A
a 2
b 1
>>> df.groupby('A', observed=True).sum() # not ok
B
A
b 1
a 2
```
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- Fixed the bad path in reset_index where the dtype was ignored if there are only
missing values.
- Simplified the structure of _maybe_casted_values in reset_index by
using as much as possible the take method of ExtensionArray's
- [ ] closes #19602
- [ ] closes #24206
- [ ] tests added / ... | {
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commit 681e6a9b07271a0955e6780e476ab2d7101e549c
Author: Phil Ruffwind <rf@rufflewind.com>
BUG: Segfault due to float_precision='round_trip'
`round_trip` calls back into Python, so the GIL must be held. It also
fails to silence the Python exception, leading to spurious errors.
Closes ... | {
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- [ ] Cython 0.30 released
**Warning**: this requires Cython 0.30 (not yet released as of Jul 2019) (the CI currently fails to build)
The [next release](https://cython.readthedocs.io/en/latest/src/changes.html#features-added) of Cython 0.30.0 [introduced](https://github.com/cython/cython/iss... | {
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```
conda env create -q --file=ci/deps/azure-macos-35.yaml
Warning: you have pip-installed dependencies in your environment file,
but you do not list pip itself as one of your conda dependencies.
Conda may not use the correct pip to install your packages,
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Just so I'm clear, you're suggesting something like:
`test.groupby('groups').transform({'value1': [np.mean, max], 'value2': max})` which should return something like:
```
value1 value2
mean max max
2012-02-01 14:00:00 2 3 30
2012-02-01 ... | {
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Signed-off-by: Antonio Gutierrez <chibby0ne@gmail.com>
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I looked at several different options for providing this functionality. In the end it seemed best to create a a new function that returns a validat... | {
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Adds types where unambiguous | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27384 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27384/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27384/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27384/events | https://github.com/pandas-dev/pandas/pull/27384 | 467,808,635 | MDExOlB1bGxSZXF1ZXN0Mjk3Mzc2Mzk1 | 27,384 | PERF: significantly improve performance of MultiIndex.shape | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27385 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27385/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27385/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27385/events | https://github.com/pandas-dev/pandas/issues/27385 | 467,825,299 | MDU6SXNzdWU0Njc4MjUyOTk= | 27,385 | AttributeError: module 'pandas' has no attribute 'tslib' | {
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#### Problem description
I just installed ggplot on my Windows x64 running Python 3.5 using pip. When I try to run:
from ggplot import *
from sklearn.metrics import roc_curve, auc
preds = log_mod.predict_proba(X_test)[:,1]
fpr, tpr, _ = roc_curve(y_test, preds)
df_dummies = pd.DataFrame(dict(fpr=fpr, t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27386 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27386/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27386/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27386/events | https://github.com/pandas-dev/pandas/pull/27386 | 467,848,286 | MDExOlB1bGxSZXF1ZXN0Mjk3NDAyMzI5 | 27,386 | in groupby sorting index when length of groupings is one | {
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Example: Fixes #27369 "Bug: groupby(..., observed=True) doesn't respect sort keys"
#### What does this implement/fix? Explain your changes.
Sorts the index when the length of groupings is one (if `sefl.sorted` equals `True`)
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https://api.github.com/repos/pandas-dev/pandas/issues/27387 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27387/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27387/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27387/events | https://github.com/pandas-dev/pandas/issues/27387 | 467,849,160 | MDU6SXNzdWU0Njc4NDkxNjA= | 27,387 | Slicing Series takes from sparse DataFrame with missing values slow | {
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"color": "a1... | open | false | null | [] | null | 3 | 2019-07-14T14:56:14Z | 2020-09-21T21:27:10Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
import time
import tabulate
def timeIt(df, rangeExact, rangeApprox):
start = time.time()
df["A"].loc[rangeExact[0]]
end = time.time()
times = {"select exact label": end-start}
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... | 1 | 2019-07-14T16:13:39Z | 2021-07-10T18:07:07Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd
>>> pd.PeriodDtype()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/tesla/Projects/pandas/pandas/core/dtypes/dtypes.py", line 149, in __repr__
return str(self)
File "/home/tesl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27389 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27389/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27389/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27389/events | https://github.com/pandas-dev/pandas/issues/27389 | 467,881,480 | MDU6SXNzdWU0Njc4ODE0ODA= | 27,389 | Discuss: transformation vs. aggregation in `agg` vs. `transform` | {
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{... | closed | false | null | [] | null | 6 | 2019-07-14T20:31:04Z | 2021-07-10T18:11:15Z | 2021-07-10T18:11:15Z | NONE | null | There have been multiple issues regarding
- Confusion about relative respective roles of `agg` and `transform` (and `apply`).
https://github.com/pandas-dev/pandas/issues/26960, https://github.com/pandas-dev/pandas/issues/18103 in both the DataFrame and Grou
- `transform('rank')` and others returning the wrong answer... | {
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```python
import pandas as pd
# Create series with 372,363 daily periods
series_day = pd.Series(pd.period_range(start='1000-01-01', end='2019-06-30', freq='D'))
# Convert daily periods to monthly periods
# HERE IS THE PROBLEM - CONVERSION IS UNUSUALLY SL... | {
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"de... | closed | false | null | [] | null | 1 | 2019-07-15T02:56:16Z | 2019-08-02T14:14:35Z | 2019-07-18T00:06:01Z | MEMBER | null | - [x] tests passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Includes simplifying some code paths | {
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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
As mentioned in #27335, this PR serves as an infrastructure for future changes in the default int type
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https://api.github.com/repos/pandas-dev/pandas/issues/27393 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27393/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27393/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27393/events | https://github.com/pandas-dev/pandas/pull/27393 | 467,939,727 | MDExOlB1bGxSZXF1ZXN0Mjk3NDY4MjA4 | 27,393 | Added annotations to util._decorators | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27394 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27394/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27394/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27394/events | https://github.com/pandas-dev/pandas/issues/27394 | 467,991,956 | MDU6SXNzdWU0Njc5OTE5NTY= | 27,394 | pd.read_csv prefix parameter seems do not works | {
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```test.csv
field,data,values
text1,34,hh,fail
text2,76,tt,fail2
```
```python
import pandas as pd
if __name__ == "__main__":
data_list = pd.read_csv('test.csv', prefix="X")
print(data_list)
```
#### Problem description
A documentation said:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27395 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27395/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27395/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27395/events | https://github.com/pandas-dev/pandas/issues/27395 | 468,036,026 | MDU6SXNzdWU0NjgwMzYwMjY= | 27,395 | Assignment of column via .loc | {
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# This code is failing
df = pd.DataFrame({'timestamp': [np.datetime64('2017-01-01 01:00:00'), np.datetime64('2017-01-01 02:00:00')],
'value': ['a', 'b']})
df.loc[:, 'day'] = df.loc[:, 'timestamp'].values.astype('datetime64[D]')
```
#### Error
```
------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27396 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27396/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27396/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27396/events | https://github.com/pandas-dev/pandas/issues/27396 | 468,064,525 | MDU6SXNzdWU0NjgwNjQ1MjU= | 27,396 | TYPING: Unreachable code | {
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"description": "type annotat... | open | false | null | [] | null | 8 | 2019-07-15T11:00:29Z | 2021-07-10T18:12:34Z | null | MEMBER | null | mypy 0.720 introduced `--warn-unreachable` http://mypy-lang.blogspot.com/2019/07/mypy-0720-released.html
```
$ mypy pandas --warn-unreachable
pandas\core\computation\expressions.py:68: error: Statement is unreachable
pandas\core\computation\expressions.py:123: error: Statement is unreachable
pandas\core\dtypes\... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27397 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27397/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27397/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27397/events | https://github.com/pandas-dev/pandas/issues/27397 | 468,146,953 | MDU6SXNzdWU0NjgxNDY5NTM= | 27,397 | Add 'how' option to 'first_valid_index' | {
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] | closed | false | null | [] | null | 1 | 2019-07-15T14:04:10Z | 2021-07-10T18:18:58Z | 2021-07-10T18:18:58Z | NONE | null | This is a suggestion to include a `how` option to [`first_valid_index`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.first_valid_index.html#pandas-dataframe-first-valid-index) ([similar to `dropna`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.dropna.html#pa... | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-07-15T14:08:10Z | 2019-12-11T17:09:38Z | 2019-12-11T17:09:38Z | CONTRIBUTOR | null | ```python
In [4]: np.array([1]) / np.array([0])
/Users/taugspurger/.virtualenvs/pandas-dev/bin/ipython:1: RuntimeWarning: divide by zero encountered in true_divide
#!/Users/taugspurger/Envs/pandas-dev/bin/python
Out[4]: array([inf])
In [7]: pd.array([1], dtype='Int64') / 0
Out[7]: array([nan])
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27399 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27399/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27399/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27399/events | https://github.com/pandas-dev/pandas/pull/27399 | 468,200,112 | MDExOlB1bGxSZXF1ZXN0Mjk3Njc5Mzkz | 27,399 | Initial implementation of rolling iterators | {
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"followers_url": "https://api.github.com/users/wesm... | 14 | 2019-07-15T15:42:30Z | 2019-10-03T19:09:06Z | 2019-10-03T19:09:06Z | CONTRIBUTOR | null | - [x] closes #11704
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Hi, I have yet to implements tests, use flake8 and create a whatsnew entry as I am uncertain whether this implementation would be correct.
I woul... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27400 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27400/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27400/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27400/events | https://github.com/pandas-dev/pandas/issues/27400 | 468,215,724 | MDU6SXNzdWU0NjgyMTU3MjQ= | 27,400 | Feature Request: Include SSPipe Functionality | {
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https://pypi.org/project/sspipe/
https://sspipe.github.io/
DataFrame object already has a .pipe() method, but the objective is to make the "pipe" (Equivalent to R's magrittr %>% functional pipe) a standard that can be extrapolated to all Python objects and ca... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27402 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27402/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27402/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27402/events | https://github.com/pandas-dev/pandas/pull/27402 | 468,229,847 | MDExOlB1bGxSZXF1ZXN0Mjk3NzAyODUw | 27,402 | Easy warning fixups for mypy | {
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Didn't look through all but some of the others are more complicated and probably require in depth review | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27403 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27403/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27403/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27403/events | https://github.com/pandas-dev/pandas/pull/27403 | 468,238,377 | MDExOlB1bGxSZXF1ZXN0Mjk3NzA5NzE0 | 27,403 | CLN: Unify Window._apply_window and Rolling._apply functions | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
`roll_window` function is split into two to enable implementing other weighted functions e.g. var, std (ref #26597)
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https://api.github.com/repos/pandas-dev/pandas/issues/27404 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27404/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27404/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27404/events | https://github.com/pandas-dev/pandas/issues/27404 | 468,251,873 | MDU6SXNzdWU0NjgyNTE4NzM= | 27,404 | Support Decorators Maintaining Signatures of Generic Functions | {
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... | 7 | 2019-07-15T17:41:08Z | 2020-09-21T22:13:51Z | 2020-09-21T22:13:50Z | MEMBER | null | As a follow up to #27393 I think I made a mistake in just typing some of the return values to be `Callable`. The following script highlights that issue:
```python
from pandas.util._decorators import Appender
def func1(num: int) -> int:
return num
@Appender("")
def func2(num: int) -> int:
return num... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27405 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27405/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27405/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27405/events | https://github.com/pandas-dev/pandas/issues/27405 | 468,307,408 | MDU6SXNzdWU0NjgzMDc0MDg= | 27,405 | f-strings vs @ syntax in `.query` call? A suggestion for a deprecation | {
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] | closed | false | null | [] | null | 4 | 2019-07-15T19:56:31Z | 2019-07-16T09:57:44Z | 2019-07-16T09:57:44Z | CONTRIBUTOR | null | This is not a problem but an observation and possibly something for a deprecation (as discussed with @datapythonista at PyDataLondon this weekend).
Pandas supports a `.query` syntax including the `.query("my_col < @some_var")` syntax to bring in a local `some_var`. This predates Python's f-string syntax which was in... | {
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quick look suggests if we do more limiting of pytest <5.0.0 things will work (not sure what exactly is wrong with the newer pytest). | {
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] | open | false | null | [] | null | 2 | 2019-07-15T22:29:25Z | 2021-07-10T18:19:27Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
In [2]: df = pd.DataFrame({'x': [1, 2, 3, 4], 'y': [10, 20, 30, 40]},
index=pd.MultiIndex.from_product([['a', 'b'], ['c', 'd']],
names=['ab', 'cd']))
... | {
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there's Also already `Window` and `Rolling` classes, so `roll_window` doesn't make clear where it fits in.
I'd also like to rename `Window` to `WeightedWindow`. But that class is returned to the user from `df.rolling` so not sure if that's considere... | {
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```
pandas/_libs/tslibs/tzconversion.c:3157:21: warning: ‘__pyx_pybuffernd_dst_hours.diminfo[0].strides’ may be used uninitialized in this function [-Wmaybe-uninitialized]
3157 | __Pyx_LocalBuf_ND __pyx_pybuffernd_dst_hours;
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
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