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https://api.github.com/repos/pandas-dev/pandas/issues/19610 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19610/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19610/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19610/events | https://github.com/pandas-dev/pandas/pull/19610 | 295,727,247 | MDExOlB1bGxSZXF1ZXN0MTY4MTMzODgz | 19,610 | Consolidate nth / last object Groupby Implementations | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Depending on what goes first between this and #19481 some merge conflicts will need to be cleaned up | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19611 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19611/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19611/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19611/events | https://github.com/pandas-dev/pandas/pull/19611 | 295,731,338 | MDExOlB1bGxSZXF1ZXN0MTY4MTM2ODU5 | 19,611 | dispatch frame methods to series versions instead of re-implementing masking etc | {
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The place that logic _is_ changed is in `DataFrame._combine_frame` where instead of defining `arith_op` to mask `func` and wrapping `{col: arith_op(this[col].values, other[col].values) for col in this.columns}`, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19612 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19612/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19612/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19612/events | https://github.com/pandas-dev/pandas/pull/19612 | 295,747,925 | MDExOlB1bGxSZXF1ZXN0MTY4MTQ4NzEw | 19,612 | Fix uncaught OutOfBounds in array_to_datetime | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19613 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19613/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19613/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19613/events | https://github.com/pandas-dev/pandas/pull/19613 | 295,750,769 | MDExOlB1bGxSZXF1ZXN0MTY4MTUwNzQw | 19,613 | De-duplicate masking/fallback logic in ops | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19614 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19614/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19614/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19614/events | https://github.com/pandas-dev/pandas/issues/19614 | 295,772,646 | MDU6SXNzdWUyOTU3NzI2NDY= | 19,614 | Is there any fast way to apply crossjoin or join not on two dataframes? | {
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Like
`
SELECT * FROM [GameScores] CROSS JOIN [Departments]
or
SELECT * FROM [GameScores] JOIN [Departments] on [GameScores].t1 != [Departments].t1
`
I get one possible answer like:
`
import itertools
list=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19615 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19615/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19615/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19615/events | https://github.com/pandas-dev/pandas/issues/19615 | 295,814,133 | MDU6SXNzdWUyOTU4MTQxMzM= | 19,615 | Adding Non-US holidays in pandas.tseries.holiday | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-02-09T09:58:37Z | 2018-02-09T11:57:08Z | 2018-02-09T11:56:56Z | NONE | null | `pandas.tseries.holiday` has built-in only US holiday calendars. Is it possible to add other countries' holiday calendars to it? This US-centric module seems weird.
Maybe add [holidays](https://pypi.python.org/pypi/holidays) module, so this is not hard-coded and maintained within pandas.
I could make a pull requ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19616 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19616/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19616/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19616/events | https://github.com/pandas-dev/pandas/issues/19616 | 295,843,037 | MDU6SXNzdWUyOTU4NDMwMzc= | 19,616 | Index Name vanishes when calling concat on two objects with different order indices | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-02-09T11:41:34Z | 2018-02-09T14:13:53Z | 2018-02-09T12:42:49Z | NONE | null | Using pd.concat results in index name disappearing when the index is not in the same order for DataFrames being concatenated
```python
>>> df1 = pd.DataFrame({'a': [1, 2], 'b': [3,4]}, index=pd.Index(['a', 'b'], name='ind'))
>>> df1
a b
ind
a 1 3
b 2 4
```
Now create another dataframe, with t... | {
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... | 7 | 2018-02-09T13:55:43Z | 2019-10-21T19:34:21Z | null | NONE | null | Hello the Pandas team and thanks for making this package greater day after day.
I was using the `str.get_dummies` method on a dataframe and I realized that by default the dummies are coded as `int64`.
This looks to me very inefficient because I ran into a memory error when trying to get dummies for a dataframe ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19619 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19619/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19619/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19619/events | https://github.com/pandas-dev/pandas/pull/19619 | 295,901,926 | MDExOlB1bGxSZXF1ZXN0MTY4MjYzMTIz | 19,619 | TST: set multi_statement flag for pymysql tests | {
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closes #19462 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19620 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19620/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19620/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19620/events | https://github.com/pandas-dev/pandas/issues/19620 | 295,920,571 | MDU6SXNzdWUyOTU5MjA1NzE= | 19,620 | Possibly unexpected behaviour when using apply and custom funcs | {
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total=pd.DataFrame({"all_eternal":[1,2,1,1,0,1],"country_name":["United States","Germany","Germany","Germany","France","United States"],"amount":[20,40,30,10,5,6]})
```
When I apply
```
totalbycountrynew=total.groupby(["country_name"],as_index=False).apply(
lambda g:
pd.Series({
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https://api.github.com/repos/pandas-dev/pandas/issues/19621 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19621/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19621/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19621/events | https://github.com/pandas-dev/pandas/pull/19621 | 295,940,355 | MDExOlB1bGxSZXF1ZXN0MTY4MjkyMjYz | 19,621 | order of exceptions in array_to_datetime | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-02-09T17:01:00Z | 2018-02-10T17:28:41Z | 2018-02-10T17:08:40Z | MEMBER | null | First, cleans things up by moving all the seen_datetime and seen_integer variables to the tops of their respective blocks.
Mainly splits the `try:` block for `string_to_dts` up into two pieces based on the two lines in that block that _could_ raise and handles errors more specfically. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19622 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19622/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19622/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19622/events | https://github.com/pandas-dev/pandas/issues/19622 | 295,946,995 | MDU6SXNzdWUyOTU5NDY5OTU= | 19,622 | Performance issue when using pivot_table with multiple columns out of which at least one is of type 'category' | {
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```python
import pandas as pd
import numpy as np
import time
n_rows = 1000
n_categories = 250
df = pd.DataFrame({'cat1': np.random.choice(np.arange(0,n_categories), size=n_rows, replace=True),
'cat2': np.random.choice(np.arange(0,n_categories), size=n_rows, replace=True... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19623 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19623/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19623/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19623/events | https://github.com/pandas-dev/pandas/issues/19623 | 295,947,366 | MDU6SXNzdWUyOTU5NDczNjY= | 19,623 | Inconsistency in array_to_datetime "utc_convert" | {
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] | closed | false | null | [] | null | 6 | 2018-02-09T17:24:13Z | 2018-09-10T00:31:49Z | 2018-09-10T00:31:49Z | MEMBER | null | If tslib.array_to_datetime sees a tz-aware datetime object and `utc_convert` isn't True, it raises. But later a tz-aware datetime may be parsed from dateutil and it is ignored:
```
elif PyDateTime_Check(val):
seen_datetime = 1
if val.tzinfo is not None:
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https://api.github.com/repos/pandas-dev/pandas/issues/19624 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19624/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19624/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19624/events | https://github.com/pandas-dev/pandas/pull/19624 | 296,008,392 | MDExOlB1bGxSZXF1ZXN0MTY4MzM5NzYw | 19,624 | Fix left join turning into outer join | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-02-09T20:53:14Z | 2018-02-10T16:54:11Z | 2018-02-10T16:53:38Z | CONTRIBUTOR | null | - [x] closes #19607
- [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/19625 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19625/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19625/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19625/events | https://github.com/pandas-dev/pandas/pull/19625 | 296,061,229 | MDExOlB1bGxSZXF1ZXN0MTY4Mzc4Mjg4 | 19,625 | function for frequently repeated tz-conversion code | {
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Closes #12677 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19627 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19627/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19627/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19627/events | https://github.com/pandas-dev/pandas/pull/19627 | 296,077,709 | MDExOlB1bGxSZXF1ZXN0MTY4Mzg4NTU5 | 19,627 | Collect tslibs test, organize PeriodIndex tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19628 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19628/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19628/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19628/events | https://github.com/pandas-dev/pandas/pull/19628 | 296,084,794 | MDExOlB1bGxSZXF1ZXN0MTY4MzkyODAy | 19,628 | BUG: Do not round DatetimeIndex nanosecond precision when iterating | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
~~This issue was actually very specific to localizing a `DatetimeIndex` with `datetime.timezone.utc`~~
```
# On master
In [1]: import pandas as pd
In [2]: datetimeindex ... | {
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"followers_url": "https://api.github... | 2 | 2018-02-10T09:11:19Z | 2018-10-28T03:26:45Z | 2018-10-28T03:26:45Z | CONTRIBUTOR | null | ```python
>>> pd.Series([1,2,3,4]).agg(np.sum)
10
>>> pd.Series([1,2,3,4]).agg(np.nansum)
0 1
1 2
2 3
3 4
dtype: int64
```
I would expect the return values of ``.agg(np.nansum)`` and ``.agg(np.sum)`` to be the same, given that pandas "normalizes" np.sum into np.nansum (don't know the correct term)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19630 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19630/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19630/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19630/events | https://github.com/pandas-dev/pandas/issues/19630 | 296,087,217 | MDU6SXNzdWUyOTYwODcyMTc= | 19,630 | Memory leak behaviour using MultiIndex from GroupBy objects | {
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Detailed reproduction:
```python
df = pd.DataFrame({'A': range(1,55), ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19631 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19631/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19631/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19631/events | https://github.com/pandas-dev/pandas/issues/19631 | 296,096,157 | MDU6SXNzdWUyOTYwOTYxNTc= | 19,631 | DOC: Improve code quality of doc/make.py | {
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Besides PEP-8 problems, make.py has repetitive code that could be avoided by a refactoring.
Also, #15591 and #10340 can be addressed as part of this refac... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19632 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19632/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19632/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19632/events | https://github.com/pandas-dev/pandas/issues/19632 | 296,107,886 | MDU6SXNzdWUyOTYxMDc4ODY= | 19,632 | Replace with bfill, ffill or pad on DataFrame | {
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With a Series ``replace`` with ``method`` equal to 'bfill', 'ffill' or 'pad' and ``value=None`` works as expected
```python
In [1]: s = pd.Series([0, 1, 2, 3, 4])
In [2]: s.replace([1, 2], method='bfill')
Out[2]:
0 0
1 3
2 3
3 3
4 4
dtype:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19633 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19633/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19633/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19633/events | https://github.com/pandas-dev/pandas/issues/19633 | 296,114,991 | MDU6SXNzdWUyOTYxMTQ5OTE= | 19,633 | groupby by levels behaves differently than in pandas 0.20 | {
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```python
import pandas as pd
from numpy import nan
d = {(0,
'NNPDF31_nlo_as_0130_uncorr__combined',
'chi2'): {('NMC', 'Total', 325, 394): nan, ('NMC',
'Total',
325,
400): 906.5202301172686, ('SLAC', 'Total', 67, 394): nan, ('SLAC',
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closes #15591
closes #10340
- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Summary of the PR:
- doc/make.py in lint and respects PEP-8
- Making the structure of the code more organized
- Added command line arguments f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19635 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19635/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19635/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19635/events | https://github.com/pandas-dev/pandas/pull/19635 | 296,119,437 | MDExOlB1bGxSZXF1ZXN0MTY4NDEyNTYw | 19,635 | Consolidated Groupby nth / last object Templates | {
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- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Updated to prevent the group_rank_object method from being templated after the merging of #19481 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19636 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19636/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19636/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19636/events | https://github.com/pandas-dev/pandas/pull/19636 | 296,123,876 | MDExOlB1bGxSZXF1ZXN0MTY4NDE1Mjk5 | 19,636 | move shift_months test to test_arithmetic | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19637 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19637/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19637/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19637/events | https://github.com/pandas-dev/pandas/pull/19637 | 296,124,433 | MDExOlB1bGxSZXF1ZXN0MTY4NDE1NjM1 | 19,637 | test_astype portion of #19627 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19638 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19638/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19638/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19638/events | https://github.com/pandas-dev/pandas/pull/19638 | 296,124,811 | MDExOlB1bGxSZXF1ZXN0MTY4NDE1ODYx | 19,638 | Move liboffsets, libfreqs, libparsing tests to test_tslibs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19639 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19639/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19639/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19639/events | https://github.com/pandas-dev/pandas/pull/19639 | 296,125,278 | MDExOlB1bGxSZXF1ZXN0MTY4NDE2MTI2 | 19,639 | move timedelta test_astype test | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-02-10T19:13:21Z | 2018-02-11T21:37:03Z | 2018-02-11T14:51:48Z | MEMBER | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/19640 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19640/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19640/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19640/events | https://github.com/pandas-dev/pandas/pull/19640 | 296,126,176 | MDExOlB1bGxSZXF1ZXN0MTY4NDE2NjY2 | 19,640 | move array_to_datetime timests | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-02-10T19:25:16Z | 2018-06-22T03:32:35Z | 2018-02-12T11:33:33Z | MEMBER | null | Almost done.
With array_to_datetime there is some fuzziness in when a test is for array_to_datetime and when it is for to_datetime. I'm trying to specifically isolate tslibs tests, so for now am erring on the side of keeping to_datetime tests in test_tools. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19641 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19641/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19641/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19641/events | https://github.com/pandas-dev/pandas/pull/19641 | 296,127,745 | MDExOlB1bGxSZXF1ZXN0MTY4NDE3NDk3 | 19,641 | Organize PeriodIndex tests | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-02-10T19:44:34Z | 2018-02-12T16:32:31Z | 2018-02-11T14:56:29Z | MEMBER | null | Crammed a lot of #19627 into this. Also did some new parametrization. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19642 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19642/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19642/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19642/events | https://github.com/pandas-dev/pandas/pull/19642 | 296,128,129 | MDExOlB1bGxSZXF1ZXN0MTY4NDE3NzEy | 19,642 | tests for tslibs.conversion and tslibs.timezones | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19643 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19643/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19643/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19643/events | https://github.com/pandas-dev/pandas/issues/19643 | 296,148,802 | MDU6SXNzdWUyOTYxNDg4MDI= | 19,643 | Period.asfreq issue caused(?) by C division rules | {
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"... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-02-11T01:00:39Z | 2018-02-21T10:31:56Z | 2018-02-21T10:31:56Z | MEMBER | null | This behavior is present both before and after #19608/#19540.
```
per = pd.Period('0001-01-01', freq='B')
>>> per + 1
Period('0001-01-02', 'B')
>>> per - 1
Period('0001-01-05', 'B')
>>> per - 4
Period('0001-01-02', 'B')
>>> per - 5
Period('0000-12-25', 'B')
```
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https://api.github.com/repos/pandas-dev/pandas/issues/19644 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19644/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19644/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19644/events | https://github.com/pandas-dev/pandas/issues/19644 | 296,156,707 | MDU6SXNzdWUyOTYxNTY3MDc= | 19,644 | pandas.read_csv tries to convert "NaN" even when specifying dtype argument | {
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"description": "np.nan, pd.NaT, pd.NA, d... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jorisva... | 14 | 2018-02-11T03:31:10Z | 2018-02-26T18:13:14Z | 2018-02-26T11:30:51Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
from pandas.compat import StringIO
import pandas as pd
t1 = """float
1
"""
t2 = """float
NaN
"""
for t in t1, t2:
df = pd.read_csv(StringIO(t), dtype={'float': 'str'})
print(type(df['float'][0]))
```
#### Problem description
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19645 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19645/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19645/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19645/events | https://github.com/pandas-dev/pandas/pull/19645 | 296,195,113 | MDExOlB1bGxSZXF1ZXN0MTY4NDU2NDY1 | 19,645 | TST: placement of network error catching in s3 tests | {
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... | 0 | 2018-02-11T16:23:55Z | 2018-04-01T17:47:39Z | 2018-04-01T17:47:39Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: pd.DataFrame(index=range(2), columns=['a', 'b'], dtype=int).dtypes
Out[2]:
a object
b object
dtype: object
```
compare to
```python
In [3]: pd.Series(index=range(2), dtype=int).dtype
Out[3]: dtype('float64')
```
#### Problem d... | {
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... | 0 | 2018-02-11T17:37:14Z | 2021-06-18T05:26:48Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: s = pd.Series(dtype='object')
In [3]: s.loc['myint'] = 1
In [4]: s.loc['myfloat'] = 2.
In [5]: s
Out[5]:
myint 1.0
myfloat 2.0
dtype: float64
```
#### Problem description
When an empty Series is added the first object... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19648 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19648/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19648/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19648/events | https://github.com/pandas-dev/pandas/issues/19648 | 296,214,511 | MDU6SXNzdWUyOTYyMTQ1MTE= | 19,648 | [Feature Request]: df.plot(type='pca') | {
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Each time I want to generate a PCA plot to look at data in my dataframes, I go and find the little PCA snippet I use everywhere, which is rather verbose:
```
pca = PCA(n_components=2)
Y = pca.fit_transform(StandardScaler().fit_transform(df))
with plt.style.contex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19650 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19650/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19650/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19650/events | https://github.com/pandas-dev/pandas/pull/19650 | 296,229,457 | MDExOlB1bGxSZXF1ZXN0MTY4NDc2NTY0 | 19,650 | BUG: fix Period.asfreq conversion near datetime(1, 1, 1) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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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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- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Some of the `test_interval_new.py` tests are fully passing, so moving them to `test_interval.py` to ensure that new changes don't break them.
Added a couple of TODO's to the new tests related to checking non-monotonic... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19653 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19653/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19653/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19653/events | https://github.com/pandas-dev/pandas/issues/19653 | 296,303,271 | MDU6SXNzdWUyOTYzMDMyNzE= | 19,653 | DOC: Clarifiy fill_value behavior in arithmetic ops | {
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"description": "np.nan, pd.NaT, pd.NA... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 11 | 2018-02-12T09:03:15Z | 2018-02-22T00:16:22Z | 2018-02-22T00:16:22Z | CONTRIBUTOR | null | When adding two DataFrames using `df1.add(df2)` one can use the `fill_value` parameter to fill in any NaNs that might come up. This parameter seems pretty broken:
```python
a = pd.DataFrame(np.ones((3, 2)))
b = pd.DataFrame(np.ones((4, 3)))
print(a + b) # all good:
# 0 1 2
# 0 2.0 2.0 NaN
# 1 2.0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19654 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19654/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19654/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19654/events | https://github.com/pandas-dev/pandas/issues/19654 | 296,323,238 | MDU6SXNzdWUyOTYzMjMyMzg= | 19,654 | Enhancement: Exclude "callable" classes (and subclasses) from callable() calls | {
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"description": "Related ... | open | false | null | [] | null | 3 | 2018-02-12T10:17:28Z | 2021-06-11T22:13:39Z | null | NONE | null | #### Code Sample
```python
>>> import pandas as pd
>>> from sympy.abc import x, y
>>> gg = pd.DataFrame([[1,2],[3,3],[4,5]], columns=[x,y])
>>> print(gg[[x]]) # works fine, but returns a DataFrame
x
0 1
1 3
2 4
>>> print(gg[x])
Traceback (most recent call last):
File "<stdin>", line 1, in <mod... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19655 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19655/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19655/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19655/events | https://github.com/pandas-dev/pandas/issues/19655 | 296,326,919 | MDU6SXNzdWUyOTYzMjY5MTk= | 19,655 | pip3.4 install pandas .. fails | {
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#### Problem description
On a newly installed CentOS server and Python3.4, pandas installation fails.
```
# hostnamectl
Static hostname: xxx
Icon name: computer-vm
Chassis: vm
Machine ID: c6f7ceaf2b662447be72221a58fa173a
Boot ID: 096b1c0d1c524504997b0c8185ca69d5
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https://api.github.com/repos/pandas-dev/pandas/issues/19656 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19656/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19656/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19656/events | https://github.com/pandas-dev/pandas/issues/19656 | 296,356,626 | MDU6SXNzdWUyOTYzNTY2MjY= | 19,656 | DOC: Sphinx 1.7 compatability | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-02-12T12:21:09Z | 2018-02-12T12:34:05Z | 2018-02-12T12:34:00Z | CONTRIBUTOR | null | I thought I posted this when the beta was out, but apparently not. We have a bit of work to do.
- [ ] Remove vendored IPython sphinxext (should be OK with https://github.com/ipython/ipython/pull/10907 released)
- [ ] Remove vendored numpydoc (work around https://github.com/numpy/numpydoc/pull/106#issuecomment-34322... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19657 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19657/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19657/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19657/events | https://github.com/pandas-dev/pandas/pull/19657 | 296,364,134 | MDExOlB1bGxSZXF1ZXN0MTY4NTcwNTk5 | 19,657 | DOC: removed vendored IPython.sphinxext - take 2 | {
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xref https://github.com/pandas-dev/pandas/issues/18147, re-do https://github.com/pandas-dev/pandas/pull/18193 (which was reverted in https://github.com/pandas-dev/pandas/pull/18320 because there was still a bug in IPython, which is now fixed in the relea... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19658 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19658/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19658/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19658/events | https://github.com/pandas-dev/pandas/issues/19658 | 296,396,755 | MDU6SXNzdWUyOTYzOTY3NTU= | 19,658 | CLN: Remove uses of Index._data | {
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... | 3 | 2018-02-12T14:38:17Z | 2021-06-18T05:30:09Z | 2021-06-18T05:30:09Z | CONTRIBUTOR | null | The type of `Index._data` is inconsistent across Index subclasses
class | output
----------------- | ------
Index | ndarray
PeriodIndex | ndarray[int] (ordinals)
DatetimeIndex | DatetimeIndex (?)
DatetimeIndex[tz] | ndarray[datetime64[ns]]
CategoricalIndex | Categorical
Inte... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19659 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19659/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19659/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19659/events | https://github.com/pandas-dev/pandas/pull/19659 | 296,448,152 | MDExOlB1bGxSZXF1ZXN0MTY4NjMyMzQ5 | 19,659 | Parametrize PeriodIndex tests | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/19660 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19660/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19660/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19660/events | https://github.com/pandas-dev/pandas/pull/19660 | 296,453,532 | MDExOlB1bGxSZXF1ZXN0MTY4NjM1OTk3 | 19,660 | DOC: spellchecked io.rst | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-02-12T17:07:07Z | 2018-02-14T11:31:39Z | 2018-02-14T11:31:20Z | CONTRIBUTOR | null | Spellcheck of the docs, specifically of `io.rst`.
I did not read everything thoroughly, but I believe the suggested changes will help enforce a greater level of consistency in the docs.
* Backticks ` `` ` around Series, DataFrame.
* Added some function references, i.e. `` :meth:`~DataFrame.method` ``.
* Consisten... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19661 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19661/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19661/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19661/events | https://github.com/pandas-dev/pandas/pull/19661 | 296,467,148 | MDExOlB1bGxSZXF1ZXN0MTY4NjQ2MTY5 | 19,661 | collect index formatting tests | {
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It looks like PeriodIndex/TDI/DTI tests are using different rules for what constitutes test_indexing/test_setops. Double-checking before making a PR:
test_get_loc_* --> test_indexing
test_get_indexer_* --> test_indexing
test_insert_* --> test_indexing
test_where_* --> test_indexing
test_join_* --> test_setops... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19662 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19662/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19662/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19662/events | https://github.com/pandas-dev/pandas/issues/19662 | 296,480,736 | MDU6SXNzdWUyOTY0ODA3MzY= | 19,662 | Ambiguous description in pandas.DataFrame.to_parquet documentation | {
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In the verson 0.22.0 [pandas.DataFrame.to_parquet documentation](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_parquet.html), the **engine** kwarg is described as:
>"Parquet reader library to use. If ‘auto’, then the option ‘io.parquet.engine’ is used. If ‘auto’,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19663 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19663/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19663/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19663/events | https://github.com/pandas-dev/pandas/pull/19663 | 296,495,284 | MDExOlB1bGxSZXF1ZXN0MTY4NjY2NjE5 | 19,663 | DOC: ignore Panel deprecation warnings during doc build | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19664 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19664/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19664/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19664/events | https://github.com/pandas-dev/pandas/pull/19664 | 296,501,550 | MDExOlB1bGxSZXF1ZXN0MTY4NjcxMjE5 | 19,664 | enable multivalues insert | {
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Currently when pushing a dataframe to a database, lines are inserted one by one. This change enables multivalues inserts.
TODO
- [x] release note
- [ ] address chunksize behavior
### Reference
http://docs.sqlalchemy.org/en/rel_0_9/core/dml.html?highlight=insert%20values#sqlalchemy.sql.expressio... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19666 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19666/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19666/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19666/events | https://github.com/pandas-dev/pandas/issues/19666 | 296,509,396 | MDU6SXNzdWUyOTY1MDkzOTY= | 19,666 | Can't import h5py with pandas | {
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```python
import h5py as h5
import pandas as pd
def init_stores():
"""Check if h5 exists, create one if it doesn't"""
for store_path in store_paths:
try:
with h5.File(store_path, 'r'):
pass
except OSError:
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and test_ewma.py
- [x] closes #19228
- [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/19668 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19668/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19668/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19668/events | https://github.com/pandas-dev/pandas/issues/19668 | 296,556,829 | MDU6SXNzdWUyOTY1NTY4Mjk= | 19,668 | Pip build test CI failures | {
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https://travis-ci.org/pandas-dev/pandas/jobs/340640051
```
running build_ext
pandas._libs.algos: -> [['pandas/_libs/algos.c']]
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/tm... | {
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- [x] closes #19662
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [x] tests added / passed
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As per the issue, here's proof of solution:
```python
Python 3.6.4 |Anaconda, Inc.| (default, Jan 16 2018, 12:04:33)
[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/fin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19671 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19671/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19671/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19671/events | https://github.com/pandas-dev/pandas/issues/19671 | 296,602,126 | MDU6SXNzdWUyOTY2MDIxMjY= | 19,671 | auto convert from string to datetime64 in iterrows. | {
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In [1]: import pandas as pd
In [2]: pd.__version__
Out[2]: '0.20.1'
In [4]: pd.DataFrame({'symbol': ['M1609', 'M1701'], 'date': pd.to_datetime(['2016-09-01', '2017-01-01'])})
Out[4]:
date symbol
0 2016-09-01 M1609
1 2017-01-01 M1701
In [5]: df = pd.DataFrame({'symbol': ['M1609', 'M170... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19672 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19672/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19672/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19672/events | https://github.com/pandas-dev/pandas/pull/19672 | 296,620,609 | MDExOlB1bGxSZXF1ZXN0MTY4NzU4OTkw | 19,672 | Fix docstrings, error messages | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19673 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19673/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19673/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19673/events | https://github.com/pandas-dev/pandas/pull/19673 | 296,639,568 | MDExOlB1bGxSZXF1ZXN0MTY4NzcyNzYw | 19,673 | Cythonized GroupBy Fill | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I am not a fan of how I've implemented this in `groupby.py` but I think this change highlights even more the need for some refactoring of that module, specifically in how Cython... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19674 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19674/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19674/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19674/events | https://github.com/pandas-dev/pandas/issues/19674 | 296,663,631 | MDU6SXNzdWUyOTY2NjM2MzE= | 19,674 | Where operation with setting doesn't work any more | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-02-13T09:16:55Z | 2018-02-13T14:08:33Z | 2018-02-13T12:41:50Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df2[df2 > 0] = -df2
```
#### Problem description
In the 10-minute tutorial this code is used, which doesn't work as expected.
The DataFrame contains a Nan value and positive and negative numeric values.
When running the code, an error appear... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19675 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19675/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19675/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19675/events | https://github.com/pandas-dev/pandas/pull/19675 | 296,757,391 | MDExOlB1bGxSZXF1ZXN0MTY4ODU5NjQ3 | 19,675 | DOC: Clarify and add fill_value example in arithmetic ops | {
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- [ ] 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/19676 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19676/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19676/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19676/events | https://github.com/pandas-dev/pandas/issues/19676 | 296,797,370 | MDU6SXNzdWUyOTY3OTczNzA= | 19,676 | Unused util | {
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"followers_url": "https://api.github... | 3 | 2018-02-13T16:19:25Z | 2018-07-26T12:54:08Z | 2018-07-26T12:54:08Z | MEMBER | null | util._doctools.TablePlotter is used only in it's own `__main__` block. Does that need to exist?
_decorators.docstring_wrapper is unused. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19677 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19677/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19677/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19677/events | https://github.com/pandas-dev/pandas/issues/19677 | 296,819,153 | MDU6SXNzdWUyOTY4MTkxNTM= | 19,677 | CI: Make uncaught warnings raise as errors | {
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```
filterwarnings =
error
```
to our `setup.cfg`, we can easily make uncaught warnings turn into errors. What are people's thoughts on this? The only downside I see is that contributor's PR will fail due to unrelated changes to a downstream package, but we can quickly fix those.
It seems like... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19678 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19678/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19678/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19678/events | https://github.com/pandas-dev/pandas/issues/19678 | 296,825,491 | MDU6SXNzdWUyOTY4MjU0OTE= | 19,678 | python 2 vs python 3 columns ordering using pandas | {
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```python
selective_price = []
for index_sample, row_sample in selectivePriceList.iterrows():
selective_price.append(row_sample.loc[list_keys])
counter +=1
#print(selective_price)
selective_price = pd.concat(selective_price, axis=1)
selective_price = selective_price.transpose()... | {
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I didn't see any other instance in `group_rank` where the dtype was open to interpretation, so I'm wondering if `np.lexsort` is returning a plain `int` on 32 bit systems. Hoping that explicitly getting a view of that `np.lexsort` result to match the dtype of `_as` will resolve the test issues | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19680 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19680/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19680/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19680/events | https://github.com/pandas-dev/pandas/issues/19680 | 296,842,174 | MDU6SXNzdWUyOTY4NDIxNzQ= | 19,680 | to_timedelta does not work properly with nanoseconds | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-02-13T18:36:23Z | 2018-02-15T09:16:46Z | 2018-02-15T09:16:35Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> index = pandas.to_timedelta([15e-7], unit="s")
>>> index[0].nanoseconds
0
>>> index[0].microseconds
2
```
#### Problem description
nanoseconds range input for to_timedelta function are rounded to microseconds.
#### Expected Output
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https://api.github.com/repos/pandas-dev/pandas/issues/19681 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19681/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19681/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19681/events | https://github.com/pandas-dev/pandas/issues/19681 | 296,853,778 | MDU6SXNzdWUyOTY4NTM3Nzg= | 19,681 | Pandas install includes hefty 29MB `tests/` directory | {
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pandas 0.22.0 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19682 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19682/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19682/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19682/events | https://github.com/pandas-dev/pandas/issues/19682 | 296,859,241 | MDU6SXNzdWUyOTY4NTkyNDE= | 19,682 | Categorical.fillna doesn't validate consistent kwargs | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-02-13T19:35:37Z | 2018-02-22T00:20:58Z | 2018-02-22T00:20:58Z | CONTRIBUTOR | null | ```python
In [3]: pd.Categorical(['a', 'b']).fillna(value='a', method='ffill')
Out[3]:
[a, b]
Categories (2, object): [a, b]
In [4]: pd.Series(pd.Categorical(['a', 'b'])).fillna(value='a', method='ffill')
---------------------------------------------------------------------------
ValueError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19683 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19683/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19683/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19683/events | https://github.com/pandas-dev/pandas/pull/19683 | 296,864,608 | MDExOlB1bGxSZXF1ZXN0MTY4OTQwMzMy | 19,683 | DOC: fix IPython spelling. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19684 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19684/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19684/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19684/events | https://github.com/pandas-dev/pandas/pull/19684 | 296,870,142 | MDExOlB1bGxSZXF1ZXN0MTY4OTQ0NTMz | 19,684 | API: Validate keyword arguments to fillna | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19685 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19685/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19685/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19685/events | https://github.com/pandas-dev/pandas/issues/19685 | 296,876,116 | MDU6SXNzdWUyOTY4NzYxMTY= | 19,685 | pd.read_csv generating different pd.DataFrames with identical dataset | {
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```python
For loading the csvfile:
loadedFile = pd.read_csv(fileLocation)
For getting the "description" of the pd.DataFrame
loadedFile.describe()
For outputting the pd.DataFrames
# open DEBUG File
file_debug_setup = ope... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19686 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19686/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19686/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19686/events | https://github.com/pandas-dev/pandas/issues/19686 | 296,883,837 | MDU6SXNzdWUyOTY4ODM4Mzc= | 19,686 | BUG: MultiIndex .loc fails with all numpy arrays | {
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```python
import pandas as pd
import numpy as np
a = [10,20,30]
b = [1,2,3]
index = pd.MultiIndex.from_product([a,b])
df = pd.DataFrame(np.arange(len(index)), index=index, columns=['Data'])
slice1 = df.loc[([10,20], [2,3]), 'Data']... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19687 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19687/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19687/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19687/events | https://github.com/pandas-dev/pandas/pull/19687 | 296,898,799 | MDExOlB1bGxSZXF1ZXN0MTY4OTY2MjAw | 19,687 | DOC/BLD: unpin sphinx to use sphinx 1.7 | {
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Sphinx 1.7 is released, so let's try out if we can now remove the pinning of sphinx to 1.5.x | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19688 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19688/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19688/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19688/events | https://github.com/pandas-dev/pandas/issues/19688 | 296,902,497 | MDU6SXNzdWUyOTY5MDI0OTc= | 19,688 | formatting date with strict json | {
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```python
#!/usr/bin/python
import pandas as pd
import json
master_df = pd.read_csv('sg_main__test.txt', parse_dates={'$date' :['date', 'time']}, sep='\s+', encoding='utf-8')
out_file = master_df.to_json('sg_main__test.json', date_format='iso', orient='records')
```
#### Problem description
I need my ... | {
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] | closed | false | null | [] | null | 7 | 2018-02-14T00:38:01Z | 2018-10-05T02:49:25Z | 2018-10-05T02:49:25Z | MEMBER | null | With a goal of integrating static checking for "dead code" into the CI suite, it appears like the [Vulture project](https://github.com/jendrikseipp/vulture) may have something to offer pandas. As of writing, running `vulture pandas --exclude pandas/tests/ ` from the top level directory yields 469 items that the tool th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19690 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19690/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19690/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19690/events | https://github.com/pandas-dev/pandas/issues/19690 | 296,944,256 | MDU6SXNzdWUyOTY5NDQyNTY= | 19,690 | GroupBy.var() is computing sum of squares instead of variance / Returns NaN when there is only 1 instance | {
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```python
# returns 10.125
df = pd.DataFrame({'id': [1, 1], 'val': [0.5, 5.0]})
df.groupby('id').agg({'val': 'var'})
# first edit: 10.125.
df.groupby('id').agg({'val': np.var})
# second edit: 5.0625
df.groupby('id').agg({'val': lambda x: np.var(x)})
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19691 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19691/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19691/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19691/events | https://github.com/pandas-dev/pandas/pull/19691 | 296,961,946 | MDExOlB1bGxSZXF1ZXN0MTY5MDEyMzA0 | 19,691 | add missing args, make kwarg explicit | {
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`BlockManager.isna` is entirely non-obvious because there is a required kwarg that isn't in its signature. This makes it explicit. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19692 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19692/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19692/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19692/events | https://github.com/pandas-dev/pandas/pull/19692 | 296,967,564 | MDExOlB1bGxSZXF1ZXN0MTY5MDE2MjYy | 19,692 | remove usages of _get_na_value | {
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```python
# Your code here
df = pd.DataFrame()
df["time"] = pd.date_range(start="2017-01-01", end="2018-01-01", freq="D", tz="utc")
df["now"] = pd.datetime.utcnow()
df["now"] - df["time"] #raises ValueError: Incompatible tz's on datetime subtraction ops
```... | {
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- [x] Interface, ExtensionBlock, and Internals (#19268)
- [x] Series and DataFrame can hold extension arrays (#19520)
- [x] overridable `assert_*_equal` (https://github.com/pandas-dev/pandas/pull/19863)
- [x] unique (#19869)
- [x] fillna (#19909)
- [x] `__setitem__` works properly ... | {
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```python
import pandas as pd
df = pd.DataFrame({
'Foo64': [1.2, 2.4, 7.24],
})
df['Foo32'] = df['Foo64'].astype('float32')
df.eval('-1 + Foo64') # Works
df.eval('-1 + Foo32') # Throws Exception
```
```python traceback
Traceback (most re... | {
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https://travis-ci.org/pandas-dev/pandas-ci and http://github.com/pandas-dev/pandas-ci | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19699 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19699/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19699/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19699/events | https://github.com/pandas-dev/pandas/issues/19699 | 297,198,289 | MDU6SXNzdWUyOTcxOTgyODk= | 19,699 | Allow list-like for `y` in `DataFrame.plot`. | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2018-02-14T18:26:36Z | 2018-03-22T14:31:51Z | 2018-03-22T14:31:51Z | CONTRIBUTOR | null | In pandas 0.22 and earlier, we passing multiple values for `y` worked by accident. The code clearly assumed that `y` was a scalar, but things usually worked, perhaps with an incidental warning:
```python
In [12]: df = pd.DataFrame(np.random.uniform(size=(10, 2)), columns=['a', 'b'])
In [15]: df.plot(x='c', y=['a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19700 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19700/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19700/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19700/events | https://github.com/pandas-dev/pandas/issues/19700 | 297,209,946 | MDU6SXNzdWUyOTcyMDk5NDY= | 19,700 | Series.hasnans shouldn't be cached | {
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"followers_url": "https://api.github... | 2 | 2018-02-14T19:05:57Z | 2018-07-12T00:13:56Z | 2018-07-12T00:13:56Z | MEMBER | null | Series.hasnans is as a cache_readonly inherited from IndexOpsMixin
```
ser = pd.Series([0, 1.0])
>>> ser.hasnans
False
ser.iloc[0] = np.nan
>>> ser.hasnans
False
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19703 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19703/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19703/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19703/events | https://github.com/pandas-dev/pandas/issues/19703 | 297,259,394 | MDU6SXNzdWUyOTcyNTkzOTQ= | 19,703 | pytest deprecation warning | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2018-02-14T21:56:02Z | 2018-03-05T11:35:00Z | 2018-03-05T11:35:00Z | CONTRIBUTOR | null | ```python
home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/_pytest/mark.py:73: RemovedInPytest4Warning: Applying marks directly to parameters is deprecated, please use pytest.param(..., marks=...) instead.
For more details, see: https://docs.pytest.org/en/latest/parametrize.html
warnings.warn(MARK_PA... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19704 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19704/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19704/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19704/events | https://github.com/pandas-dev/pandas/pull/19704 | 297,262,486 | MDExOlB1bGxSZXF1ZXN0MTY5MjM1MjEw | 19,704 | DOC: Adding guide for the pandas documentation sprint | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19705 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19705/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19705/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19705/events | https://github.com/pandas-dev/pandas/issues/19705 | 297,263,742 | MDU6SXNzdWUyOTcyNjM3NDI= | 19,705 | Bad Error message / docs for Categorical.fillna with dict `value` | {
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In [1]: import pandas as pd
In [2]: pd.Categorical(['a', 'b', None]).fillna({2: 'a'})
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-2-099b4b7d5652> in <module>()
----> 1 pd.Categorical(['... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19706 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19706/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19706/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19706/events | https://github.com/pandas-dev/pandas/issues/19706 | 297,267,709 | MDU6SXNzdWUyOTcyNjc3MDk= | 19,706 | Unable to import pandas when using the gtk3 backend in ipython | {
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In [1]: %matplotlib gtk3
In [2]: import pandas
---------------------------------------------------------------------------
UnicodeDecodeError Traceback (most recent call last)
<ipython-input-2-38d4b0363d82> in <module>()
----> 1 import pandas
~/.local/lib/python3.6/site-packages/pa... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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cc @TomAugspurger @jreback
This _should_ fix the problem with building with a non Cython environment. The problem is that we assume extensions are C everywhere and I didn't ... | {
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- [x] closes #19700
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Related: https://github.com/pandas-dev/pandas2/issues/27 | {
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