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https://api.github.com/repos/pandas-dev/pandas/issues/31215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31215/events | https://github.com/pandas-dev/pandas/pull/31215 | 553,721,622 | MDExOlB1bGxSZXF1ZXN0MzY2MDA0Mjc0 | 31,215 | Follow-up: XLSB Support | {
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"followers_url": "https://api.github.com/users/wesm... | 4 | 2020-01-22T18:38:45Z | 2020-02-01T20:33:13Z | 2020-01-22T20:11:24Z | CONTRIBUTOR | null | Updated min version for `pyxlsb` to 1.0.6 and removed the now unnecessary xfail for read from url. Turns out the other xfail is actually unnecessary so I've removed it.
Question: is my name supposed to show up in the contributors list?
- [X] closes #8540
- [X] tests added / passed
- [X] passes `black pandas`
-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31216 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31216/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31216/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31216/events | https://github.com/pandas-dev/pandas/pull/31216 | 553,725,253 | MDExOlB1bGxSZXF1ZXN0MzY2MDA3Mjkx | 31,216 | (wip) BUG: replacing one column's values was changing other columns' dtypes | {
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] | closed | false | null | [] | null | 2 | 2020-01-22T18:46:30Z | 2020-10-10T14:14:46Z | 2020-07-26T18:05:12Z | MEMBER | null | …s' dtypes
- [x] closes #30512
- [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/31217 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31217/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31217/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31217/events | https://github.com/pandas-dev/pandas/pull/31217 | 553,736,304 | MDExOlB1bGxSZXF1ZXN0MzY2MDE2NDQy | 31,217 | DOC: fixup whatsnew | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-01-22T19:09:30Z | 2020-01-22T19:38:00Z | 2020-01-22T19:37:57Z | CONTRIBUTOR | null | The lack of newline below the ipython directive may be causing issues. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31218 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31218/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31218/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31218/events | https://github.com/pandas-dev/pandas/issues/31218 | 553,754,979 | MDU6SXNzdWU1NTM3NTQ5Nzk= | 31,218 | BUG: DTA/TDA setitem breaks freq on views | {
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... | 0 | 2020-01-22T19:46:25Z | 2020-07-10T13:58:36Z | null | MEMBER | null | DatetimeArray/TimedeltaArray `__setitem__` resets the array's freq to None, but this doesn't propagate to views:
```
dti = pd.date_range('2016-01-01', periods=5)
dta = dti._data
view = dta[:]
assert view.freq == dta.freq == "D"
dta[0] = pd.NaT
assert dta.freq is None
>>> view.freq
<Day>
```
`view.fre... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31219 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31219/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31219/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31219/events | https://github.com/pandas-dev/pandas/issues/31219 | 553,760,015 | MDU6SXNzdWU1NTM3NjAwMTU= | 31,219 | ENH: maybe_dispatch_to_dunder_op handle min/max | {
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cc @jorisvandenbossche @TomAugspurger | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31220 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31220/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31220/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31220/events | https://github.com/pandas-dev/pandas/issues/31220 | 553,760,059 | MDU6SXNzdWU1NTM3NjAwNTk= | 31,220 | Index.sort_values puts missing values at the start with ascending=False | {
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... | null | 5 | 2020-01-22T19:56:25Z | 2020-09-20T20:47:21Z | 2020-09-20T20:47:21Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Index.sort_values places missing values at the start of the result with `ascending=False`
```python
In [4]: pd.Index([1, np.nan, 0]).sort_values(ascending=False)
Out[4]: Float64Index([nan, 1.0, 0.0], dtype='float64')
In [5]: pd.Series([1, np.nan, 0]).sort... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31221 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31221/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31221/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31221/events | https://github.com/pandas-dev/pandas/pull/31221 | 553,767,108 | MDExOlB1bGxSZXF1ZXN0MzY2MDQxMzI0 | 31,221 | Backport PR #31215 on branch 1.0.x (Follow-up: XLSB Support) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31222 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31222/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31222/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31222/events | https://github.com/pandas-dev/pandas/issues/31222 | 553,817,831 | MDU6SXNzdWU1NTM4MTc4MzE= | 31,222 | Empty DatetimeIndex gets converted on assignment with .loc | {
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```python
from pandas import DataFrame, Series, DatetimeIndex
from numpy import float64
df = DataFrame(index=DatetimeIndex([]), columns=["A", "B"]).astype({"A": float64})
df.loc[:, "A"] = Series(index=df.index, dtype=float64)
type(df.index)
```
#### Output
```python
pandas.core.indexe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31223 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31223/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31223/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31223/events | https://github.com/pandas-dev/pandas/issues/31223 | 553,839,409 | MDU6SXNzdWU1NTM4Mzk0MDk= | 31,223 | GroupBy aggregation fails if DataFrame has CategoricalIndex | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2020-01-22T22:47:16Z | 2020-01-28T01:57:19Z | 2020-01-28T01:57:19Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
ids = pd.Categorical([0, 1, 2])
df = pd.DataFrame({
'id': ids,
'groups': [1, 1, 2],
'value': [0, 1, 0]
}).set_index('id')
df.groupby('groups').agg({'value': pd.Series.nunique})
```
#### Problem description
The above works in v.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31224 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31224/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31224/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31224/events | https://github.com/pandas-dev/pandas/pull/31224 | 553,840,327 | MDExOlB1bGxSZXF1ZXN0MzY2MTAxNDk1 | 31,224 | REF/TST: collect misplaced tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31225 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31225/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31225/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31225/events | https://github.com/pandas-dev/pandas/issues/31225 | 553,842,609 | MDU6SXNzdWU1NTM4NDI2MDk= | 31,225 | Make the documentation for pandas.Series.str.replace() clearer | {
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"gi... | null | 1 | 2020-01-22T22:55:42Z | 2020-03-06T15:25:33Z | 2020-03-06T15:25:33Z | NONE | null | #### Problem description
The current documentation of str.replace says ```Replace occurrences of pattern/regex in the Series/Index with some other string. Equivalent to str.replace() or re.sub().```.
For the novice user this suggests that base Python's str.replace() and re.sub() provide equivalent functionality. ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31226 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31226/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31226/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31226/events | https://github.com/pandas-dev/pandas/pull/31226 | 553,852,028 | MDExOlB1bGxSZXF1ZXN0MzY2MTExMTg5 | 31,226 | CLN: unused kwarg, poorly named obj->key | {
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I expect if we do something like this we won't want to actually randomize; that part I guess is a proof of concept for now. | {
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The refactor to make get_value is get_loc is basically what we want all of them index subclasses to do (at which point we de-duplicate and possibly get rid of get_value altogether)
cc @jreback | {
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- [X] tests added / passed
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No whatnew since this is a regression.
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That broke a test for `np.isfinite`, so I started implementing `array_ufunc`. Then that broke oth... | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Examples(all three passed)

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- [X] closes #31248
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Using some work I am doing in pyarrow (https://github.com/apache/arrow/pull/6189), we are able to provide an option in `read_parquet` to directly use new nullable dtypes instead of first using the default conversion (eg which gives floats for ints with nulls) and doing the conversion afterwards
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https://api.github.com/repos/pandas-dev/pandas/issues/31243 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31243/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31243/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31243/events | https://github.com/pandas-dev/pandas/issues/31243 | 554,089,655 | MDU6SXNzdWU1NTQwODk2NTU= | 31,243 | Potential bug in reading SAS files with CHAR (RLE) compression and many repeated characters | {
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"id"... | open | false | null | [] | null | 10 | 2020-01-23T11:08:19Z | 2020-12-17T06:11:56Z | null | NONE | null | Hi,
I think I ran into a bug in the RLE decompression implementation.
**Short description**:
String fields with more than 32 repeated consecutive characters are ~be~ cropped at 32 and next fields will spill over corrupting the whole dataframe.
**Example**:
example.csv with fields of length 50
```
long_st... | {
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... | closed | false | null | [] | null | 6 | 2020-01-23T13:26:45Z | 2020-09-22T01:30:44Z | 2020-09-22T01:30:43Z | NONE | null | Hi,
I think it could be really useful to add a **Verbose** parameter in the **pandas.Series.apply** function. It can take a really long time to get an output so having some kind of verbosity with something like tqdm could be really useful.
Cheers, | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] whatsnew entry
This is picking up where https://github.com/pandas-dev/pandas/pull/27350 left off because I think it'd be a nice feature to have. At least one thing that still needs to be done is implementing `bins` when we have only a... | {
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Not sure what the fix should be, as there isn't a singular array that directly backs the underlying values for `CategoricalIndex` or `IntervalIndex`, so the approach ... | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2020-01-23T15:52:37Z | 2020-01-24T16:00:07Z | 2020-01-23T23:10:18Z | CONTRIBUTOR | null | - [x] closes #31175
- [x] tests added / passed
- tests/scalar/timestamp/test_timestamp.py
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
- Not needed for fixing a test
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It would be great if pd.DataFrame.duplicated or pd.DataFrame.drop_duplicates supports axis= argument.
Current version 0.25.3 not supporting axis=
https://pandas.pydata.org/pandas-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31251 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31251/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31251/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31251/events | https://github.com/pandas-dev/pandas/issues/31251 | 554,274,090 | MDU6SXNzdWU1NTQyNzQwOTA= | 31,251 | read_csv: if parse_dates dont appear in use_cols, we get a trace | {
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```python
# Your code here
import pandas as pd
import io
content = io.StringIO('''
time,val
212.23, 32
''')
date_cols = ['time']
df = pd.read_csv(
content,
sep=',',
usecols=['val'],
dtype= { 'val': int },
parse_dates=date_c... | {
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... | open | false | null | [] | null | 0 | 2020-01-23T17:38:24Z | 2020-06-07T00:39:07Z | null | CONTRIBUTOR | null | One of the provided (BaseMethods) Extension tests is `test_factorize_empty`. I don't have a way of passing this test given how `factorize` works for `ExtensionArray`.
```python
def test_factorize_empty(self, data):
codes, uniques = pd.factorize(data[:0])
expected_codes = np.array([], dtype=np... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31253 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31253/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31253/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31253/events | https://github.com/pandas-dev/pandas/pull/31253 | 554,306,806 | MDExOlB1bGxSZXF1ZXN0MzY2NDg0ODg3 | 31,253 | Update algorithms.py | {
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- [ ] closes #31252
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
>>> import pandas as pd
>>> ids = range(5)
>>> groups = pd.Series([0, 1, 1, 2, 2])
>>> values = pd.Categorical([0, 0, 0, 0, 1])
>>> df = pd.DataFrame({
'id': ids,
'groups': groups,
'value': values
}).set_index('id')
>>> df.groupby('groups').agg(pd.Series... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31259 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31259/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31259/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31259/events | https://github.com/pandas-dev/pandas/issues/31259 | 554,386,953 | MDU6SXNzdWU1NTQzODY5NTM= | 31,259 | Please help me to understand TypeError: Expected tuple, got str | {
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```python
# Summarize data by schools
schools_group = complete_data_pd.groupby(["school_name"])
sum_students = schools_group["student_name"].value_counts()
budgets_df = schools_group["budget"].mean()
per_student = budgets_df / sum_students
math_mavens_group... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31260 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31260/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31260/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31260/events | https://github.com/pandas-dev/pandas/pull/31260 | 554,393,316 | MDExOlB1bGxSZXF1ZXN0MzY2NTU2Mzc5 | 31,260 | DOC fix truncated documentation for Series.unstack(), Series. | {
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Changed "e.g. " to "e.g., "
Changed "a.k.a. " to "also known as"
This helps avoid the truncation caused in the docstring | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31261 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31261/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31261/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31261/events | https://github.com/pandas-dev/pandas/pull/31261 | 554,402,210 | MDExOlB1bGxSZXF1ZXN0MzY2NTYzNDg2 | 31,261 | Backport PR #31159 on branch 1.0.x (ENH: Implement _from_sequence_of_strings for BooleanArray) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31262 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31262/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31262/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31262/events | https://github.com/pandas-dev/pandas/pull/31262 | 554,419,057 | MDExOlB1bGxSZXF1ZXN0MzY2NTc3NTI3 | 31,262 | PLT: Color attributes of medianprops etc are lost in df.boxplot and df.plot.boxplot | {
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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
Found out that not only `medianprops` info is lost, so is `whiskerprops`, `capprops` and `boxprops`, so I also added them alongside. Since this is ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31263/events | https://github.com/pandas-dev/pandas/pull/31263 | 554,445,329 | MDExOlB1bGxSZXF1ZXN0MzY2NTk5MTQ5 | 31,263 | BUG: na_logical_op with 2D inputs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31264 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31264/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31264/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31264/events | https://github.com/pandas-dev/pandas/issues/31264 | 554,447,376 | MDU6SXNzdWU1NTQ0NDczNzY= | 31,264 | Cannot add pandas_profiling module into SQL Server | {
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```python
import sqlmlutils
connection = sqlmlutils.ConnectionInfo(server="localhost", database="SQLAI")
sqlmlutils.SQLPackageManager(connection).install("pandas-profiling")
```
#### Problem description
I was trying to install some module (i.e. pandas_pro... | {
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- [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/31269 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31269/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31269/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31269/events | https://github.com/pandas-dev/pandas/issues/31269 | 554,544,958 | MDU6SXNzdWU1NTQ1NDQ5NTg= | 31,269 | ENH: allow 'pad', 'backfill' and 'cumcount' in groupby.transform | {
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Currently on master, `groupby.transform` with ``func`` equals one of `('fillna', 'pad', 'backfill', 'ffill', etc.)` yields wrong results (See #30918).
With updates from PR (#31101), the incorrect outputs are fixed. However, when ``func`` is one of `('pad', 'backfill', 'cumcout')`, `groupby.transform` t... | {
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```python
>>> import pandas as pd
>>> pd.__version__
'1.0.0rc0+183.g4da554f75'
>>> df = pd.DataFrame(
... {
... "A": [1, 1, 1, 1],
... "B": [0, 1, 2, 3]
... }
... )
>>> df
A B
0 1 0
1 1 1
2 1 2
3 1 3
>>> df.groupby("A").corrwith(df) # Clearly co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31271 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31271/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31271/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31271/events | https://github.com/pandas-dev/pandas/pull/31271 | 554,552,565 | MDExOlB1bGxSZXF1ZXN0MzY2Njg1ODI5 | 31,271 | BUG: DataFrame.floordiv(ser, axis=0) not matching column-wise bheavior | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31272 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31272/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31272/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31272/events | https://github.com/pandas-dev/pandas/issues/31272 | 554,564,283 | MDU6SXNzdWU1NTQ1NjQyODM= | 31,272 | Dropped columns still available for filtering | {
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```python3
import pandas as pd
df = pd.DataFrame(data={'foo': [0, 1], 'bar': ["a", "b"]})
df.drop(columns=["bar"])[df["bar"] == "a"]
```
#### Problem description
The code sample above should result in an error like the following:
```
KeyError: 'bar'
```
However, it does not but instead... | {
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... | 1 | 2020-01-24T07:50:08Z | 2020-01-24T07:51:18Z | 2020-01-24T07:51:18Z | MEMBER | null | Our nullable, mask-based ExtensionArrays (currently integer and boolean, inheriting from MaskedArray) have a `_data` and `_mask` numpy arrays stored under the hood.
A relatively straight-forward optimization is probably to allow the `_mask` to be None, for the case that there are no missing values.
(to be checked ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31274 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31274/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31274/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31274/events | https://github.com/pandas-dev/pandas/issues/31274 | 554,601,839 | MDU6SXNzdWU1NTQ2MDE4Mzk= | 31,274 | Performance issue when using pivot_table with multiple columns out of which at least one is of type 'category' | {
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To reproduce, copy-paste the following code and run:
```python
import pandas as pd
import numpy as np
import time
n... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31276 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31276/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31276/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31276/events | https://github.com/pandas-dev/pandas/issues/31276 | 554,611,854 | MDU6SXNzdWU1NTQ2MTE4NTQ= | 31,276 | pandas.Series.str.replace giving irrelavent results | {
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```python
import pandas as pd
a = ['16', '66', '66', '42', '17', '55', '66b', '17', '48',
'66', '48', '75', '76', '6a', '80', '57', '66', '13',
'17', '31', '66', '6c', '17', '65b', '17', '39', '17',
'66.0', '80.0', '6.0', '66.0', '21.0', '31.0', '7.0', '8.0']
df = pd... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31277 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31277/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31277/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31277/events | https://github.com/pandas-dev/pandas/pull/31277 | 554,621,253 | MDExOlB1bGxSZXF1ZXN0MzY2NzQxODU4 | 31,277 | ASV: add benchmarks for Series.array and extract_array | {
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I fixed the NameError in the test, and also changed the example given in the whatsnew entry (I couldn't see a difference between the outputs of 0.25.x and 1.0.0 in the original)
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- [ ] tests added / passed
- [ ] passes `black pandas`
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- [x] whatsnew entry
- moved whatsnew entry from 1.1 to 1.0
Per comment here from @jreback: https://github.com/pandas-dev/pandas/pull/30929#issuecomment-577989924
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> On March 23, 2020, we’ll be removing the following Azure Pipelines hosted images:
>
> * Windows Server 2012R2 with Visual Studio 2015, a.k.a vs2015-win2012r2
> * macOS X High Sierra 10.13, a.k.a macOS-10.13
> * Windows Server Core 1803, a.k.a win1803
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/31284 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31284/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31284/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31284/events | https://github.com/pandas-dev/pandas/issues/31284 | 554,799,955 | MDU6SXNzdWU1NTQ3OTk5NTU= | 31,284 | Can't replace tz-aware with None | {
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```python
import pandas as pd
value_a = pd.Timestamp("20130102", tz="US/Eastern")
value_b = pd.Timestamp("20130102", tz="US/Eastern")
df = pd.DataFrame({"A": [value_a], "B": [value_b]})
df.replace(to_replace={value_a: None}).dtypes.drop("A")
```
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I have added a shuffle method to pd.DataFrame, as writing df.sample(frac=1) is not intuitive. The method just calls df.sample with 1 line of code.
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... | 5 | 2020-01-24T16:32:26Z | 2020-12-28T00:03:23Z | 2020-12-28T00:03:23Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
def f(x, y, window):
return x.rolling(window).corr(y)
def g(x, y, window):
return x.rolling(window).apply(lambda x: x.corr(y), raw=False)
if __name__ == "__main__":
N = 20
n = 10
... | {
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```python
import pandas as pd
import numpy as np
# A data frame with a date column
dates = pd.date_range("2010-01-01", "2020-01-01", freq="1D").tolist()
groups = ["first", "second", "third"]
df = pd.DataFrame({
"date": dates * len(groups),
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https://api.github.com/repos/pandas-dev/pandas/issues/31289 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31289/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31289/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31289/events | https://github.com/pandas-dev/pandas/issues/31289 | 554,861,387 | MDU6SXNzdWU1NTQ4NjEzODc= | 31,289 | Incorrect result in GroupBy.cov when some results have 1 observation | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2020-01-24T17:26:08Z | 2020-01-24T17:27:33Z | 2020-01-24T17:27:21Z | CONTRIBUTOR | null | If a user has configured warnings from NumPy to raise, and performs a `groupby.cov` when one or more groups has a single operation, then they'll get the wrong result.
```python
In [1]: import warnings
In [2]: warnings.filterwarnings("error", category=RuntimeWarning)
In [3]: import pandas as pd; import num... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31290 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31290/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31290/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31290/events | https://github.com/pandas-dev/pandas/pull/31290 | 554,883,153 | MDExOlB1bGxSZXF1ZXN0MzY2OTU3MTM3 | 31,290 | BUG: Handle IntegerArray in pd.cut | {
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"followers_url": "https://api.github.com/users/wesm... | 7 | 2020-01-24T18:18:11Z | 2020-01-28T12:41:00Z | 2020-01-28T01:52:09Z | CONTRIBUTOR | null | xref https://github.com/pandas-dev/pandas/issues/30944.
I think this doesn't close it, since only the pd.cut compoment
is fixed.
cc @jorisvandenbossche @jreback. The changes here attempt to be extremely conservative, since we're backporting stuff. I'm trying to not change behavior for anything other than IntegerAr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31291 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31291/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31291/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31291/events | https://github.com/pandas-dev/pandas/issues/31291 | 554,884,324 | MDU6SXNzdWU1NTQ4ODQzMjQ= | 31,291 | is_iterator doctest incorrect for list | {
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Is this doctest not run? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31292 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31292/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31292/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31292/events | https://github.com/pandas-dev/pandas/pull/31292 | 554,884,807 | MDExOlB1bGxSZXF1ZXN0MzY2OTU4NDY3 | 31,292 | CI: Updated version of macos image | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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This should re... | {
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- [x] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/31296 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31296/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31296/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31296/events | https://github.com/pandas-dev/pandas/pull/31296 | 554,993,305 | MDExOlB1bGxSZXF1ZXN0MzY3MDQ3OTU3 | 31,296 | PERF: do DataFrame.op(series, axis=0) blockwise | {
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~2000x speedups for very-wide mixed-dtype cases.
```
arr = np.arange(10**6).reshape(100, -1)
df = pd.DataFrame(arr)
df["C"] = 1.0
ser = df[0]
In [11]: %timeit df.eq(ser, axis=0)
1.58 s ± 20 ms... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31297 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31297/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31297/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31297/events | https://github.com/pandas-dev/pandas/pull/31297 | 554,997,177 | MDExOlB1bGxSZXF1ZXN0MzY3MDUxMTEy | 31,297 | REF: pass str_rep through arithmetic ops more consistently | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31298 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31298/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31298/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31298/events | https://github.com/pandas-dev/pandas/issues/31298 | 555,022,042 | MDU6SXNzdWU1NTUwMjIwNDI= | 31,298 | Aggregate with categorical variables but without groupby | {
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```python
import pandas as pd
df = pd.DataFrame( {"col_1" : [1, 2, 3, 4, 5],
"col_2" : [3, 5, 3, 4, 9],
"col_3" : ["cat", "dog", "dog", "cat", "cat"],
"col_4" : ["feline", "canine", "canine", "feline",... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31299 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31299/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31299/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31299/events | https://github.com/pandas-dev/pandas/issues/31299 | 555,027,618 | MDU6SXNzdWU1NTUwMjc2MTg= | 31,299 | DEPR: disallow series[[slice(...)]] | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-01-25T01:52:15Z | 2020-02-09T17:08:54Z | 2020-02-09T17:08:54Z | MEMBER | null | One of the more convoluted parts of `Series.__getitem__` is for handling single-entry lists that contain a slice, where we end up just returning `self[key[0]]`. We have two tests that hit this path, but it isn't clear to me why this should be supported.
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https://api.github.com/repos/pandas-dev/pandas/issues/31300 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31300/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31300/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31300/events | https://github.com/pandas-dev/pandas/pull/31300 | 555,028,724 | MDExOlB1bGxSZXF1ZXN0MzY3MDc2ODcz | 31,300 | PERF: avoid copies if possible in fill_binop | {
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```
import pandas as pd
from pandas.core.ops import *
arr = np.arange(10**6)
df = pd.DataFrame({"A": arr})
ser = df["A"]
%timeit result = df.add(df, fill_value=4)
7.77 ms ± 20.4 µs per lo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31301 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31301/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31301/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31301/events | https://github.com/pandas-dev/pandas/pull/31301 | 555,032,242 | MDExOlB1bGxSZXF1ZXN0MzY3MDc5NjA3 | 31,301 | CLN: remove _set_subtyp | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31302/events | https://github.com/pandas-dev/pandas/issues/31302 | 555,032,653 | MDU6SXNzdWU1NTUwMzI2NTM= | 31,302 | ENH: Change default behavior of rolling.count to be consistent with others | {
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#### Code Sample
With the updates from #30923
```python
>>> import nump... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31303 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31303/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31303/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31303/events | https://github.com/pandas-dev/pandas/issues/31303 | 555,032,684 | MDU6SXNzdWU1NTUwMzI2ODQ= | 31,303 | applymap fails in presence of nan values and function returning None | {
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```python
df = pd.DataFrame([{'a': np.nan}, {'a': 3.5}])
def convert_cell(x):
if isinstance(x, float):
if math.isnan(x):
return None
else:
return round(x)
else:
return x
df.applymap(convert_cell)
# gives
# a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31304/events | https://github.com/pandas-dev/pandas/pull/31304 | 555,041,554 | MDExOlB1bGxSZXF1ZXN0MzY3MDg2NzE2 | 31,304 | REF: define _get_slice_axis in correct classes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31305/events | https://github.com/pandas-dev/pandas/pull/31305 | 555,042,558 | MDExOlB1bGxSZXF1ZXN0MzY3MDg3NDgz | 31,305 | POC: use typing.final | {
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We'd need to make sure the CI runs mypy in py38. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31306/events | https://github.com/pandas-dev/pandas/issues/31306 | 555,053,100 | MDU6SXNzdWU1NTUwNTMxMDA= | 31,306 | NaT values cannot be compared with tz-aware datetime objects | {
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"color": "5319e7"... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jorisva... | 11 | 2020-01-25T07:10:18Z | 2020-01-26T02:10:56Z | 2020-01-26T01:08:24Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas
import datetime
a = pandas.DataFrame({'b': [pandas.NaT]})
a.b > datetime.datetime.now(datetime.timezone.utc)
```
Output:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File ".../pandas/core/ops... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31307/events | https://github.com/pandas-dev/pandas/pull/31307 | 555,081,140 | MDExOlB1bGxSZXF1ZXN0MzY3MTE0NjA4 | 31,307 | Add test for multiindex json | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2020-01-25T12:42:39Z | 2020-01-31T09:03:28Z | 2020-01-25T16:19:06Z | CONTRIBUTOR | null | - [x] related to #31028 and adds test for #27618
- [x] tests added / passed
- [x] passes `black pandas`
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https://api.github.com/repos/pandas-dev/pandas/issues/31308 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31308/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31308/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31308/events | https://github.com/pandas-dev/pandas/issues/31308 | 555,089,802 | MDU6SXNzdWU1NTUwODk4MDI= | 31,308 | pd.concat inconsistent with non-unique index | {
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Following works:
```py
df4 = pd.DataFrame([['bird', 'polly'], ['monkey', 'george'], ['a', 'b']],
columns=['animal', 'name'])
df1 = pd.DataFrame([['a', 1], ['b', 2]],
columns=['letter', 'number'])
df4.index = [0, 1, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31309 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31309/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31309/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31309/events | https://github.com/pandas-dev/pandas/pull/31309 | 555,099,170 | MDExOlB1bGxSZXF1ZXN0MzY3MTI3MTM0 | 31,309 | Backport PR #31292 on branch 1.0.x (CI: Updated version of macos image) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31310 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31310/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31310/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31310/events | https://github.com/pandas-dev/pandas/issues/31310 | 555,103,636 | MDU6SXNzdWU1NTUxMDM2MzY= | 31,310 | CI: xfail sparse warning | {
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"followers_url": "https://api.github.com/users/j... | 0 | 2020-01-25T16:17:07Z | 2020-01-26T00:26:04Z | 2020-01-26T00:26:04Z | CONTRIBUTOR | null | this is failing builds occasionally. not sure if its a deeper problem. can just xfail for now and investigate.
https://travis-ci.org/pandas-dev/pandas/jobs/641752516
```
=================================== FAILURES ===================================
__________________________ test_legacy_sparse_warning _______... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31311/events | https://github.com/pandas-dev/pandas/pull/31311 | 555,113,010 | MDExOlB1bGxSZXF1ZXN0MzY3MTM2NTk2 | 31,311 | xfail sparse warning; closes #31310 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31312 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31312/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31312/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31312/events | https://github.com/pandas-dev/pandas/pull/31312 | 555,118,834 | MDExOlB1bGxSZXF1ZXN0MzY3MTQwNTMz | 31,312 | BUG: MultiIndex intersection with sort=False does not preserve order | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
The intersection of 2 `MultiIndex` with `sort=False` does not preserve the order, whereas `Index. intersection()` does. This behavior does not seem ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31313 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31313/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31313/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31313/events | https://github.com/pandas-dev/pandas/issues/31313 | 555,145,864 | MDU6SXNzdWU1NTUxNDU4NjQ= | 31,313 | Series logical operations with nullable Boolean data type | {
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```python
import pandas as pd
pd.Series([True, None], dtype="boolean").all()
# True
pd.Series([False, None], dtype="boolean").any(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31314/events | https://github.com/pandas-dev/pandas/pull/31314 | 555,147,771 | MDExOlB1bGxSZXF1ZXN0MzY3MTYxMzk2 | 31,314 | REF: DatetimeIndex.get_value wrap DTI.get_loc | {
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"description": "Related t... | closed | false | null | [] | {
"closed_at": "2020-07-28T18:13:47Z",
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-01-25T22:33:42Z | 2020-01-26T00:38:36Z | 2020-01-26T00:23:57Z | MEMBER | null | After this, DTI.get_value is identical to TDI.get_value. Separate PR to get PeriodIndex to match too, then de-duplicate. | {
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