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https://api.github.com/repos/pandas-dev/pandas/issues/22812 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22812/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22812/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22812/events | https://github.com/pandas-dev/pandas/issues/22812 | 362,945,448 | MDU6SXNzdWUzNjI5NDU0NDg= | 22,812 | ENH: coalesce-method (upgrade for update/combine_first) | {
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"description": "Concat, ... | open | false | null | [] | null | 10 | 2018-09-23T14:07:41Z | 2021-06-22T05:18:15Z | null | CONTRIBUTOR | null | The state of `update/combine_first` in `v0.23`:
* `.update` signature does not match between DataFrame/Series (#22358)
* `df.update` has a `join`-kwarg that only supports `left`, although the source code itself notes:
```# TODO: Support other joins``` (#21855)
* `.update` is one of the (very) few pandas-methods t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22813/events | https://github.com/pandas-dev/pandas/issues/22813 | 362,988,558 | MDU6SXNzdWUzNjI5ODg1NTg= | 22,813 | TST: the pandas test suite fails on 32bit systems | {
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"followers_url": "https://api.github... | 10 | 2018-09-23T23:50:12Z | 2018-10-11T11:21:39Z | 2018-10-11T11:21:39Z | CONTRIBUTOR | null | I've been trying tonight to get the test suite to pass and keep getting some failures:
```
Results (25.73s):
830 passed
6 failed
- pandas\tests\indexes/test_base.py:1370 TestIndex.test_get_indexer_with_NA_values[None-nan]
- pandas\tests\indexes/test_base.py:1370 TestIndex.test_get_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22814/events | https://github.com/pandas-dev/pandas/pull/22814 | 362,991,305 | MDExOlB1bGxSZXF1ZXN0MjE3NTQwMjMx | 22,814 | ERR: Clarify location of EOF on unbalanced quotes | {
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"followers_url": "https://api.github... | 5 | 2018-09-24T00:26:28Z | 2018-09-28T08:01:33Z | 2018-09-25T16:38:54Z | MEMBER | null | * Clarifies message in the C engine (original issue)
* Python's `csv` module no longer fires specific errors for that, so removed it from handling
Closes #22789. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22815/events | https://github.com/pandas-dev/pandas/issues/22815 | 363,027,574 | MDU6SXNzdWUzNjMwMjc1NzQ= | 22,815 | Implement ISO8601 durations as addition for Offset Aliases | {
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... | 4 | 2018-09-24T06:36:26Z | 2021-06-22T05:18:39Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```
current -> query_config["aggregation"] = "5min"
proposed -> query_config["aggregation"] = "PT5M"
resampled_dataframe = dataframe.resample(query_config["aggregation"], how = query_config["aggregation_type"], closed = query_config["closed"])
```
##... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22816/events | https://github.com/pandas-dev/pandas/pull/22816 | 363,070,669 | MDExOlB1bGxSZXF1ZXN0MjE3NTk3OTg1 | 22,816 | DOC: fixup spacing in to_csv docstring (GH22475) | {
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"followers_url": "https://api.github... | 2 | 2018-09-24T09:28:51Z | 2018-09-24T12:32:12Z | 2018-09-24T12:32:08Z | MEMBER | null | Follow-up on https://github.com/pandas-dev/pandas/pull/22475 | {
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```$ python
Python 3.7.0 (default, Jun 28 2018, 13:15:42)
[GCC 7.2.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
>>> pd.__version__
'0.23.4'
>>> pd.read_json(
... '''{
..... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22818 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22818/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22818/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22818/events | https://github.com/pandas-dev/pandas/issues/22818 | 363,127,346 | MDU6SXNzdWUzNjMxMjczNDY= | 22,818 | DataFrame.merge() doesn't check if new suffixed column names clash with existing column names | {
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```python
# Four DataFrames with same column names
# column_0 and column_3 contain values
# column_1 and column_2 are IDs
# objective is to merge all 4 DFs and then drop / rename columns at the end
columns = ['column_{}'.format(i) for i in range(4)]
df1 = pd.DataFrame(columns=columns)
df2 = p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22819/events | https://github.com/pandas-dev/pandas/pull/22819 | 363,138,026 | MDExOlB1bGxSZXF1ZXN0MjE3NjQ5OTA4 | 22,819 | WIP: Add summary statistics to the dataresource | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Following the discussion in https://github.com/nteract/nteract/issues/3177, this adds summary statistics for folks using the dataresource. Our main concern is how this might affect pe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22820 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22820/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22820/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22820/events | https://github.com/pandas-dev/pandas/issues/22820 | 363,158,049 | MDU6SXNzdWUzNjMxNTgwNDk= | 22,820 | Join on multi-index drops the index names when specifying "on" and "how=outer" | {
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```python
import pandas as pd
df1 = pd.DataFrame(data={'i': range(0,100),'i2': range(0,100), 'u': range(200,300)}).set_index(['i','i2'])
df2 = pd.DataFrame(data={'i': range(0,100),'i2': range(0,100), 'v': range(200,300)}).set_index(['i','i2'])
ok = df1.join(df2, how="outer").head(5)
ok.inde... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22821/events | https://github.com/pandas-dev/pandas/issues/22821 | 363,220,728 | MDU6SXNzdWUzNjMyMjA3Mjg= | 22,821 | Table name case-sensitivity in to_sql | {
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import sqlite3
import pandas as pd
con = sqlite3.connect('testing.db')
cur = con.cursor()
cur.execute('CREATE TABLE test (A INT, B INT, C INT)')
con.commit()
df = pd.DataFrame({'A': 1, 'B': 2, 'C': 3}, index=[1,2,3])
df.to_sql('TEST', con, if_exists='append', index=False)
Traceback (most recent cal... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22822/events | https://github.com/pandas-dev/pandas/issues/22822 | 363,309,821 | MDU6SXNzdWUzNjMzMDk4MjE= | 22,822 | to_geodataframe method for DataFrames | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2018-09-24T20:34:52Z | 2018-09-25T15:58:34Z | 2018-09-24T21:23:14Z | NONE | null | I often find myself converting from pandas `DataFrame`s to geopandas `GeoDataFrame`s, where I convert some position (from longitude/latitude, x/y, etc. columns) into a `Point` geometry column. It's easy and takes only a few lines, but why not summarize it along the lines of
```
df.to_geodataframe(x=x_column_name, y=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22823/events | https://github.com/pandas-dev/pandas/issues/22823 | 363,317,043 | MDU6SXNzdWUzNjMzMTcwNDM= | 22,823 | str.isalpha() returning NaN instead of bool values | {
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import pandas as pd
#creating list
data=["gfg",2,"geeks","pandas",4,"python",5.6,"data analysis"]
#making series from data
series=pd.DataFrame(data)
series["g"]=series[0].str.isalpha()
series
isalpha returning NaN values when its supposed to return Bool series | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22824/events | https://github.com/pandas-dev/pandas/issues/22824 | 363,347,327 | MDU6SXNzdWUzNjMzNDczMjc= | 22,824 | API/ENH: overhaul/unify/improve .unique | {
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... | open | false | null | [] | null | 45 | 2018-09-24T22:44:12Z | 2021-06-22T05:20:12Z | null | CONTRIBUTOR | null | The state of the various flavours of `.unique` as of `v0.23`:
- `[pd/Series/Index].unique` does not have `keep`-kwarg
- `Series.unique` returns array, `Series.drop_duplicates` returns `Series`. Returning a plain `np.ndarray` is quite unusual for a `Series` method, and furthermore the differences between these closely... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22825/events | https://github.com/pandas-dev/pandas/pull/22825 | 363,359,694 | MDExOlB1bGxSZXF1ZXN0MjE3ODE4ODM5 | 22,825 | BUG: Merge timezone aware data with DST | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
When merging timezone aware data using `where`, make the comparison in UTC to avoid relocalizing on an ambiguous time. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22826 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22826/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22826/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22826/events | https://github.com/pandas-dev/pandas/pull/22826 | 363,374,958 | MDExOlB1bGxSZXF1ZXN0MjE3ODMwMjU5 | 22,826 | Loc enhancements | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Improves performance of `IndexEngine.get_indexer_non_unique` by using binary search when:
* the index is monotonically increassing, and
* the length of the iterable loc key is ... | {
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Based on #22459. Fix the docstring for DataFrame.to_dict. I also updated `ci/doctests.sh`. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22830 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22830/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22830/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22830/events | https://github.com/pandas-dev/pandas/issues/22830 | 363,568,540 | MDU6SXNzdWUzNjM1Njg1NDA= | 22,830 | dt.month_name doesn't return the name of the month | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2018-09-25T13:05:02Z | 2020-04-27T07:09:07Z | 2018-09-25T13:11:14Z | NONE | null | I'm trying to get the name of the month of the year based on my datatime variable `created_data` in my dataframe `df_noise`, and tried:
`df_noise['month'] = df_noise.created_date.dt.month_name`
and pandas returns the following in every row of the column
`<bound method PandasDelegate._add_delegate_accessors.<lo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22831/events | https://github.com/pandas-dev/pandas/issues/22831 | 363,578,280 | MDU6SXNzdWUzNjM1NzgyODA= | 22,831 | BLD: parsers.pyx seems to be re-running on each commit | {
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"followers_url": "https://api.github... | 2 | 2018-09-25T13:27:23Z | 2018-09-29T19:55:51Z | 2018-09-29T19:55:51Z | CONTRIBUTOR | null | for some reason parsers.pyx (and the generated parsers.c) seems to be rebuilding on each commit (whether anything changed or not).
cc @gfyoung @jbrockmendel
maybe something odd in setup.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22832/events | https://github.com/pandas-dev/pandas/issues/22832 | 363,705,031 | MDU6SXNzdWUzNjM3MDUwMzE= | 22,832 | [Bug] v0.23.4 is not able to handle tuples as keys of pd.Series like v0.22.0 | TypeError: 'values' is not ordered... | {
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I've posted this bug on [issue 15457](https://github.com/pandas-dev/pandas/issues/15457) and the issue was closed but it still occurs in the current version (0.23.4)
```python
# =====
# v0.23.4
# =====
>>> import sys; sys.version
'3.6.4 |Anaconda, Inc.|... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22833/events | https://github.com/pandas-dev/pandas/issues/22833 | 363,768,180 | MDU6SXNzdWUzNjM3NjgxODA= | 22,833 | str.isdecimal() returning same output as str.isdigit() | Returning False for Decimal | {
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```
a=pd.Series(["2","4","5.4","12.3","aa","4","1001"])
a.str.isdecimal()
```
The .isdecimal() method is giving same output as isdigit and returning false for decimals.
#### Output
``
0 True
1 True
2 False
3 False
4 False
5 True
6 True
dtype: bool
``
#### Expected Out... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22834/events | https://github.com/pandas-dev/pandas/issues/22834 | 363,776,222 | MDU6SXNzdWUzNjM3NzYyMjI= | 22,834 | pandas.DataFrame.replace appears to replace multiple times | {
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] | closed | false | null | [] | null | 3 | 2018-09-25T21:37:07Z | 2018-09-26T05:22:42Z | 2018-09-26T05:22:42Z | NONE | null | #### Here's an easy to produce example:
```python
df = pd.DataFrame({'A': ['a', 'a', 'b']})
dct = {'a': 'b', 'b': 'hello'}
```
#### Problem description
When I use `df.A.replace(dct)`, it seems as though the replacement is being applied recursively, and updating until no matches can be found. Here is the outp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22835/events | https://github.com/pandas-dev/pandas/issues/22835 | 363,974,832 | MDU6SXNzdWUzNjM5NzQ4MzI= | 22,835 | Negate pandas SparseSeries - AssertionError | {
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```python
df = pd.DataFrame({'a':[0,1,0,3], 'b':[2,0,0,5]})
sparse_df = df.to_sparse(fill_value=0)
criteria = (sparse_df['a'] > 2)
sparse_df_gt_2 = sparse_df.loc[criteria, :].copy()
sparse_df_lt_2 = sparse_df.loc[~criteria, :].copy() # this doesn't work
# s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22836/events | https://github.com/pandas-dev/pandas/issues/22836 | 363,980,851 | MDU6SXNzdWUzNjM5ODA4NTE= | 22,836 | DOC: Generating docs doesn't work if path has whitespaces | {
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... | 15 | 2018-09-26T11:26:31Z | 2019-10-21T19:52:18Z | null | MEMBER | null | Related to #20862
If there are spaces in the path where pandas is installed (e.g. `/home/my user/my code/pandas`), when building the documentation (i.e. `./doc/make.py html`) seems to generate a long list of usage errors like those:
```
UsageError: %bookmark: too many arguments
UsageError: %bookmark -d: Can't d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22837 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22837/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22837/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22837/events | https://github.com/pandas-dev/pandas/issues/22837 | 364,031,938 | MDU6SXNzdWUzNjQwMzE5Mzg= | 22,837 | pip install pandas fails on TypeError: find_packages() got an unexpected keyword argument 'include' | {
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(virtualenv) USERNAME:~$ pip install pandas
Collecting pandas
Using cached https://files.pythonhosted.org/packages/e9/ad/5e92ba493eff96055a23b0a1323a9a803af71ec859ae3243ced86fcbd0a4/pandas-0.23.4.tar.gz
Complete output from command python setup.py egg_in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22838 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22838/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22838/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22838/events | https://github.com/pandas-dev/pandas/pull/22838 | 364,057,998 | MDExOlB1bGxSZXF1ZXN0MjE4MzM3ODUw | 22,838 | DOC: Fix warnings in doc build | {
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"followers_url": "https://api.github... | 6 | 2018-09-26T14:27:09Z | 2018-09-26T19:14:02Z | 2018-09-26T19:03:57Z | CONTRIBUTOR | null | Split from https://github.com/pandas-dev/pandas/pull/22743
This has just the docs changes, not the doc build / CI changes, so I don't have to keep fixing merge conflicts. | {
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... | closed | false | null | [] | null | 1 | 2018-09-26T16:34:06Z | 2020-01-12T04:43:43Z | 2020-01-12T04:43:42Z | MEMBER | null | ```
In [7]: pd.__version__
Out[7]: '0.24.0.dev0+639.gcff2bca3b.dirty'
In [8]: fill_val = pd.Timestamp('2012-01-01', tz='US/Eastern')
...:
...:
In [9]: values = pd.Index(pd.date_range(fill_val, periods=4))
...:
In [10]: values
Out[10]:
DatetimeIndex(['2012-01-01 00:00:00-05:00', ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22840 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22840/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22840/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22840/events | https://github.com/pandas-dev/pandas/issues/22840 | 364,137,189 | MDU6SXNzdWUzNjQxMzcxODk= | 22,840 | ENH: Allow option to return lower triangular correlation matrix in DataFrame.corr | {
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"followers_url": "https://api.github... | 2 | 2018-09-26T17:36:41Z | 2018-11-03T14:36:24Z | 2018-11-03T14:36:24Z | MEMBER | null | In a lot of situations it's useful to remove the redundant or trivial (diagonal) entries from a correlation matrix. For example, if you want to query a correlation matrix to find highly or perfectly correlated columns you have to find some way of manually ignoring the diagonal, or if you want to remove only one of two... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22841 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22841/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22841/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22841/events | https://github.com/pandas-dev/pandas/issues/22841 | 364,165,689 | MDU6SXNzdWUzNjQxNjU2ODk= | 22,841 | Overflow when running reductions on float16 columns in pandas Series | {
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"color": "006... | closed | false | null | [] | null | 4 | 2018-09-26T18:58:14Z | 2020-11-20T02:50:13Z | 2020-11-20T02:50:13Z | NONE | null | When running reductions on dataframe columns of dtype float16, we ran into a surprising behaviour:
```python
import pandas as pd
df = pd.DataFrame(data=[1000]*100, columns=['A'], dtype='float16')
mean = df['A'].mean()
sum = df['A'].sum()
print('Mean: {}, sum: {}'.format(mean, sum))
# Both of these should b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22842 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22842/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22842/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22842/events | https://github.com/pandas-dev/pandas/pull/22842 | 364,173,825 | MDExOlB1bGxSZXF1ZXN0MjE4NDI2ODI5 | 22,842 | Adds triangular option to DataFrame.corr, closes #22840 | {
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- [ x ] closes #22840
- [ 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/22843 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22843/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22843/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22843/events | https://github.com/pandas-dev/pandas/issues/22843 | 364,174,826 | MDU6SXNzdWUzNjQxNzQ4MjY= | 22,843 | ExtensionArray.value_counts | {
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... | 9 | 2018-09-26T19:25:02Z | 2021-07-19T16:10:31Z | null | CONTRIBUTOR | null | Is this required? Right now https://github.com/pandas-dev/pandas/blob/a03d9535b16a6d5441334ef2e698d72778cf8115/pandas/core/algorithms.py#L708-L711 assumes that it's implemented, but we don't document / implement it by default, so we end up with an AttributeError at runtime. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22844 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22844/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22844/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22844/events | https://github.com/pandas-dev/pandas/issues/22844 | 364,176,839 | MDU6SXNzdWUzNjQxNzY4Mzk= | 22,844 | BLD: Use Azure pipelines for linting | {
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"followers_url": "https://api.github... | 8 | 2018-09-26T19:31:14Z | 2018-12-03T00:11:57Z | 2018-12-03T00:05:47Z | MEMBER | null | At the moment we have the script `ci/lint.sh` for validating PEP-8 and other linting. The script has several validations in the form of:
```
echo "Linting *.py"
flake8 pandas --filename=*.py --exclude pandas/_libs/src --ignore=C406,C408,C409,E402,E731,E741,W503
if [ $? -ne "0" ]; then
RET=1
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https://api.github.com/repos/pandas-dev/pandas/issues/22845 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22845/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22845/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22845/events | https://github.com/pandas-dev/pandas/issues/22845 | 364,188,352 | MDU6SXNzdWUzNjQxODgzNTI= | 22,845 | Datetime ExtensionArray | {
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"followers_url": "https://api.github... | 16 | 2018-09-26T20:05:13Z | 2018-11-08T12:45:12Z | 2018-11-08T12:45:12Z | CONTRIBUTOR | null | Collecting some design thoughts here. I've spent ~4 hours today building a DatetimeTZArray. That's mostly working on its own, but now all of pandas needs to be updated to use it.
I think the most sensible way forward is to implement two new EAs
- DatetimeArray
- DatetimeTZArray
Initially I tried just Datetime... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22846 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22846/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22846/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22846/events | https://github.com/pandas-dev/pandas/issues/22846 | 364,223,497 | MDU6SXNzdWUzNjQyMjM0OTc= | 22,846 | General repr format for our internal ExtensionArrays | {
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"followers_url": "https://api.github... | 20 | 2018-09-26T21:41:53Z | 2018-12-04T13:09:53Z | 2018-12-04T13:09:16Z | MEMBER | null | Triggered by the discussion I am having in https://github.com/pandas-dev/pandas/pull/22511/, I was also thinking we should look at our EAs reprs.
Currently we have for IntegerArray:
```
In [14]: pd.core.arrays.integer_array([1, 2, 3, None])
Out[14]: IntegerArray([1, 2, 3, nan], dtype='Int64')
```
which *loo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22847 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22847/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22847/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22847/events | https://github.com/pandas-dev/pandas/issues/22847 | 364,245,144 | MDU6SXNzdWUzNjQyNDUxNDQ= | 22,847 | Task: update GitHub website to use HTTPS | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22848 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22848/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22848/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22848/events | https://github.com/pandas-dev/pandas/issues/22848 | 364,254,715 | MDU6SXNzdWUzNjQyNTQ3MTU= | 22,848 | Group keys are not added to DataFrame's groupby result | {
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... | open | false | null | [] | null | 3 | 2018-09-26T23:52:55Z | 2021-06-22T05:23:15Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({'x':[1,2,3,4,5,6], 'y':[6,5,7,4,3,5], 'z':list('qqqrrs')})
def f(df):
return df.sort_values(by='x')
def g(df):
return df
print(df.groupby('z', group_keys=True).apply(f)) # Group keys are added
print(df.gro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22849 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22849/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22849/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22849/events | https://github.com/pandas-dev/pandas/pull/22849 | 364,267,519 | MDExOlB1bGxSZXF1ZXN0MjE4NDk2NTUw | 22,849 | Fix blank line skipping in read_fwf, issue 22693 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Fixes the bug where blank lines are not skipped using read_fwf even when skip_blank_lines is set to true. Override default behaviour in FixedWidthFieldParser. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22850 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22850/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22850/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22850/events | https://github.com/pandas-dev/pandas/issues/22850 | 364,281,758 | MDU6SXNzdWUzNjQyODE3NTg= | 22,850 | Series.combine and ExtensionArrays | {
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"color": "613... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 3 | 2018-09-27T02:33:11Z | 2018-10-04T11:27:55Z | 2018-10-04T11:27:55Z | CONTRIBUTOR | null | Working on a PeriodArray. For the first thing I tried, `Series.combine` doesn't work.
In https://github.com/pandas-dev/pandas/blob/7343fd37f809feeb98844a34dc5854a08df2aa94/pandas/core/series.py#L2324-L2330 we catch a TypeError. Why is that just a TypeError, when in principal the EA constructor could throw any kind o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22851 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22851/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22851/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22851/events | https://github.com/pandas-dev/pandas/issues/22851 | 364,288,370 | MDU6SXNzdWUzNjQyODgzNzA= | 22,851 | Export styler doesn't seem to include hide_index() | {
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... | 5 | 2018-09-27T03:11:59Z | 2021-03-29T12:30:35Z | 2021-03-29T12:30:34Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Code based on example in docs
def color_negative_red(val):
"""
Takes a scalar and returns a string with
the css property `'color: red'` for negative
strings, black otherwise.
"""
color = 'red' if val < 0 else 'black'
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22852 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22852/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22852/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22852/events | https://github.com/pandas-dev/pandas/pull/22852 | 364,372,888 | MDExOlB1bGxSZXF1ZXN0MjE4NTc1MDgz | 22,852 | BUG: DatetimeIndex slicing with boolean Index raises TypeError | {
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"followers_url": "https://api.github... | 5 | 2018-09-27T09:02:20Z | 2018-11-08T02:08:18Z | 2018-11-07T14:08:16Z | MEMBER | null | - [x] closes #22533
- [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/22853 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22853/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22853/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22853/events | https://github.com/pandas-dev/pandas/issues/22853 | 364,457,096 | MDU6SXNzdWUzNjQ0NTcwOTY= | 22,853 | Add chunksize support to to_json | {
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"description": "read_jso... | open | false | null | [] | null | 0 | 2018-09-27T12:41:54Z | 2020-01-21T04:00:53Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df.to_json(self, orient="records", date_format='iso', lines=True, chunksize=10000)
```
#### Problem description
to_json does not support chunk write, whereas from_json support chunk read.
As json is mostly for web dev, and network are good... | {
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"followers_url": "https://api.github... | 104 | 2018-09-27T13:28:20Z | 2018-12-03T12:12:48Z | 2018-12-03T00:05:47Z | MEMBER | null | closes #22844
Moving all the linting, other code checks and doctests to azure. | {
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```
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.normal(size=(3,4)))
df.index = [pd.Timestamp('2018-02-07'), pd.Timestamp('2018-06-22'), pd.Timestamp('2018-09-17')]
df.resample('6M',base=6).min()
```
the `b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22856 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22856/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22856/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22856/events | https://github.com/pandas-dev/pandas/issues/22856 | 364,537,575 | MDU6SXNzdWUzNjQ1Mzc1NzU= | 22,856 | Initializing a column with a **set** builds a cartesian product | {
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Initializing a dataset using a `set` type of object results in pandas building a cartesian product. Which isn't great b/c:
- It's totally unexpected
- it's extremely inefficient and at first will just block the console until you figure out why
- it's not mentioned in the docs, it's not ... | {
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"followers_url": "https://api.github... | 1 | 2018-09-27T16:14:06Z | 2018-12-08T20:57:39Z | 2018-12-08T20:57:39Z | CONTRIBUTOR | null | - Explain that Series / Index are containers for ndarrays and ExtensionArrays
- Recommend np.asarray for ensuring you get an ndarray
- Explain that DataFrame.values may not be what you want
This may go in dsintro, maybe a new page if we think it's too advanced. | {
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"followers_url": "https://api.github... | 3 | 2018-09-27T17:44:46Z | 2018-10-04T23:13:58Z | 2018-10-04T23:13:58Z | CONTRIBUTOR | null | #### Code Sample
```python
>>> df = pd.DataFrame(columns=list('ABC'), dtype='int64')
>>> df
Empty DataFrame
Columns: [A, B, C]
Index: []
>>> df.dtypes
A float64
B float64
C float64
dtype: object
```
#### Problem description
When creating a DataFrame with no rows, the presence of a `dtype` arg... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22859 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22859/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22859/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22859/events | https://github.com/pandas-dev/pandas/issues/22859 | 364,606,801 | MDU6SXNzdWUzNjQ2MDY4MDE= | 22,859 | timezone aware datetime64 object converter fails when plot | {
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... | 7 | 2018-09-27T18:48:36Z | 2019-08-10T19:20:13Z | 2019-08-10T19:20:12Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas
import dateutil.parser
import datetime
start = dateutil.parser.parse("2018-05-17 19:00:00").replace(tzinfo=datetime.timezone.utc)
end = dateutil.parser.parse("2018-05-17 20:00:00").replace(tzinfo=datetime.timezone.utc)
df = panda... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22860 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22860/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22860/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22860/events | https://github.com/pandas-dev/pandas/issues/22860 | 364,623,554 | MDU6SXNzdWUzNjQ2MjM1NTQ= | 22,860 | Decide whether (new) ExtensionArrays and Dtypes are public | {
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1. IntervalArray
2. PeriodArray
3. DatetimeArray (and maybe TimedeltaArray if we do that)
4. SparseArray
5. IntegerArray
Categorical is already public, so let's leave that out.
---
A few questions
1. do we allow users to construct these directly (via a set of `to_*_array` methods... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22861 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22861/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22861/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22861/events | https://github.com/pandas-dev/pandas/issues/22861 | 364,624,538 | MDU6SXNzdWUzNjQ2MjQ1Mzg= | 22,861 | Add interface for defining an ExtensionIndex | {
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... | 4 | 2018-09-27T19:39:42Z | 2021-06-22T05:26:50Z | null | CONTRIBUTOR | null | These occur naturally with `.groupby(extensionarray)` and `Seres[extensionarray].value_counts`. We should define a public API so that we don't have to convert to object in these cases.
You'd likely end up with an `Index` with a non-object dtype.
---
*more radically* this kind of removes the *need* for all our ... | {
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Closes #14108
Closes #18053 | {
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- Made more compact and readable
- Unified the flake8 errors that are being ignored
- Moving doctests and check_imports to `lint.sh`
- Moving linting from py2.7 to py3.6 | {
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... | closed | false | null | [] | null | 15 | 2018-09-27T21:13:33Z | 2021-06-11T05:43:32Z | 2021-06-11T05:43:32Z | MEMBER | null | From the dev-chat https://github.com/pandas-dev/pandas/issues/22274#issuecomment-425211774 and a rehash of https://github.com/pandas-dev/pandas/issues/20633
Conclusion:
- Make the offset alias `'D'` and `offsets.Day` always operate as a calendar day.
Technical implication:
* `Day` will need to subclass `Date... | {
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"followers_url": "https://api.github... | 4 | 2018-09-27T21:32:30Z | 2018-10-09T18:44:52Z | 2018-10-03T11:23:23Z | CONTRIBUTOR | null | - [x] closes #22764
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] pytest --doctest-modules pandas/core/nanops.py
- [TO DO] whatsnew entry
Added Docs String and Examples to NanOps
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Very simple implementation at the moment. The thought here is to introduce this method and perhaps subsequently extend to allow for string concatenation of the elements. Longer ... | {
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- [x] tests added / passed
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```python-traceback
def test_matplotlib_scatter_datetime64(self):
# https://github.com/matplotlib/matplotlib/issues/11391
df = DataFrame(np.random.RandomState(0).rand(10, 2),
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Failure on our no-warnings build
```
______________________ TestSeriesMisc.test_ndarray_compat ______________________
[gw0] linux -- Python 3.7.0 /home/travis/miniconda3/envs/pandas/bin/python
self = <pandas.tests.series.test_api.TestSeriesMisc objec... | {
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In several parts of the code, we have bare excepts in the form of:
```python
try:
my_value = my_dict[my_key]
except: # we are capturing all the exceptions, when we want to capture only KeyError
my_value = None
```
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In several parts of the code, we have bare excepts in the form of:
```python
try:
my_value = my_dict[my_key]
except: # we are capturing all the exceptions, when we want to capture only KeyError
my_value = None
```
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In several parts of the code, we have bare excepts in the form of:
```python
try:
my_value = my_dict[my_key]
except: # we are capturing all the exceptions, when we want to capture only KeyError
my_value = None
```
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In several parts of the code, we have bare excepts in the form of:
```python
try:
my_value = my_dict[my_key]
except: # we are capturing all the exceptions, when we want to capture only KeyError
my_value = None
```
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```python
import pandas as pd
z = len(pd.date_range(start='30/09/2018 20:00:00', end='1/10/2018 04:00:00', freq='min'))
```
#### Problem description
date_range method doesn't work when start and end params are string and crossing month. Works fine when start... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22877 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22877/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22877/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22877/events | https://github.com/pandas-dev/pandas/issues/22877 | 364,916,768 | MDU6SXNzdWUzNjQ5MTY3Njg= | 22,877 | Replace bare excepts by explicit excepts in pandas | {
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In several parts of the code, we have bare excepts in the form of:
```python
try:
my_value = my_dict[my_key]
except: # we are capturing all the exceptions, when we want to capture only KeyError
my_value = None
```
Th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22878 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22878/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22878/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22878/events | https://github.com/pandas-dev/pandas/issues/22878 | 364,916,913 | MDU6SXNzdWUzNjQ5MTY5MTM= | 22,878 | The problem of merging multiple files with contact | {
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] | closed | false | null | [] | null | 1 | 2018-09-28T14:36:54Z | 2018-09-28T15:36:37Z | 2018-09-28T15:36:37Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
import os
import pandas as pd
li = []
df_empty = pd.DataFrame()
fpathe = 'J:/test/'
print("deal{} excel".format(fpathe))
writer = pd.ExcelWriter(os.path.join(fpathe,'alltest.xlsx'))
for fpath,dirs,fs in os.walk(fpathe):
for file in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22879 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22879/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22879/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22879/events | https://github.com/pandas-dev/pandas/pull/22879 | 364,985,707 | MDExOlB1bGxSZXF1ZXN0MjE5MDQyNzk1 | 22,879 | CLN: remove Index._to_embed | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22880 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22880/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22880/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22880/events | https://github.com/pandas-dev/pandas/pull/22880 | 365,002,360 | MDExOlB1bGxSZXF1ZXN0MjE5MDU1OTg5 | 22,880 | Use align_method in comp_method_FRAME | {
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<b>update</b> Since #23000 was merged, some of the discussion is out of date. The bottom line remains unchanged: This PR makes DataFrame _comparison_ ops behave like DataFrame _arithmetic_ ops currently do. Also fixes some bugs e.g. #20090
<b> end update</b>
This is a much nicer alternative to th... | {
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>Exception that is raised by an error encountered in `pd.read_csv`
however, it seems to be raised at least by html parsing, and perhaps other parsers as well: https://github.com/pa... | {
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In my experience, the main reson to not catch bare exception is that thet progam has no way of using distinguisging keyboard exception (`crtl + C`) from regular exception. So I opted for
```python
except Exception:
```
in cases where it's not clear what exception may happen or function wrapped... | {
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Follow-up to #22469.
Closes #22831. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22884 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22884/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22884/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22884/events | https://github.com/pandas-dev/pandas/issues/22884 | 365,128,398 | MDU6SXNzdWUzNjUxMjgzOTg= | 22,884 | STYLE: Fix linting of benchmarks | {
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Before starting the automatic validation, we need to fix all the style problems. Those can be obtained by executing `flake8 --config=none asv_bench/benchmarks ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22885 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22885/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22885/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22885/events | https://github.com/pandas-dev/pandas/issues/22885 | 365,145,507 | MDU6SXNzdWUzNjUxNDU1MDc= | 22,885 | STYLE: Fix lint error "F811 redefinition of unused 'setup'" in benchmarks | {
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"followers_url": "https://api.github... | 4 | 2018-09-29T16:18:27Z | 2018-10-10T17:00:47Z | 2018-10-10T17:00:47Z | MEMBER | null | (related to #22884)
There is an issue in the linting of the benchmarks, caused by how `asv` manages reusing a `setup` function. See:
```
(pandas-dev) [mgarcia@xps asv_bench]$ flake8 --config=none benchmarks/categoricals.py
benchmarks/categoricals.py:21:5: F811 redefinition of unused 'setup' from line 14
```
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- [x] tests added / passed
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Fixed the following:
` asv_bench/benchmarks/algorithms.py:12:5: E722 do not use bare except'
asv_bench/benchmarks/timeseries.py:1:1: F401 'warnings' imported but unused
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```python
import pandas as pd
arrays = [['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux'],
['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two']]
df = pd.DataFrame(index=arrays, columns=arrays)
df.to_html(max_cols=7, sparsify=False)
```
```python-traceback
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There are currently 3 skipped tests in `io/formats/test_to_html.py`; `test_to_html_truncate`, `test_to_html_truncate_multi_index` and `test_to_html_truncate_multi_in... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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When adding optional dependencies, below error appears from
> Invalid requirement: 'openpyxl=2.5.5'
> = is not a valid operator. Did you mean == ?
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```python
import pandas as pd
import numpy as np
data = pd.DataFrame({"A":[1,2,3,4], "B":[np.nan, np.nan, np.nan, np.nan]})
data.groupby(['B']).size()
```
#### Problem description
On MacOSX, this returns an empty series. On Linux, an exception is thrown.
#### Expected Output
Both Oper... | {
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This includes among other things:
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"followers_url": "https://api.github... | 1 | 2018-09-29T22:02:17Z | 2018-11-20T02:21:07Z | 2018-11-20T02:21:07Z | MEMBER | null | pandas docstring are expected to follow the format defined in https://pandas.pydata.org/pandas-docs/stable/contributing_docstring.html
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https://api.github.com/repos/pandas-dev/pandas/issues/22896 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22896/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22896/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22896/events | https://github.com/pandas-dev/pandas/issues/22896 | 365,170,908 | MDU6SXNzdWUzNjUxNzA5MDg= | 22,896 | DOC: Fix the docstring of to_stata in pandas/core/frame.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22899 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22899/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22899/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22899/events | https://github.com/pandas-dev/pandas/issues/22899 | 365,171,138 | MDU6SXNzdWUzNjUxNzExMzg= | 22,899 | DOC: Fix the docstring of itertuples in pandas/core/frame.py | {
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"followers_url": "https://api.github... | 3 | 2018-09-29T22:14:45Z | 2018-11-09T15:08:00Z | 2018-11-09T15:08:00Z | MEMBER | null | pandas docstring are expected to follow the format defined in https://pandas.pydata.org/pandas-docs/stable/contributing_docstring.html
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https://api.github.com/repos/pandas-dev/pandas/issues/22900 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22900/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22900/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22900/events | https://github.com/pandas-dev/pandas/issues/22900 | 365,172,473 | MDU6SXNzdWUzNjUxNzI0NzM= | 22,900 | DOC/STYLE: Fix "F821 undefined name 'pd'" errors | {
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To start with `core/generic.py`, `core/series.py` and `core/frame.py`, I created the next issues to address the current errors: #22892, #22893, #22894, #22895, #22896, #22897 and #22898.
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https://api.github.com/repos/pandas-dev/pandas/issues/22901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22901/events | https://github.com/pandas-dev/pandas/pull/22901 | 365,177,390 | MDExOlB1bGxSZXF1ZXN0MjE5MTc1ODUx | 22,901 | CLN GH22873 Replace base excepts in pandas/core | {
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"followers_url": "https://api.github... | 8 | 2018-09-30T00:08:17Z | 2018-10-03T13:15:40Z | 2018-10-02T21:16:26Z | CONTRIBUTOR | null | This cleaning fix adds specific exception classes to bare except statements to correct PEP8 linting errors. The classes were chosen by a mixture of educated guessing (i.e. if a statement gets the `length` property, it might raise an `AttributeError`), trying out functions on known edge cases (i.e. giving a datetime inp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22902/events | https://github.com/pandas-dev/pandas/pull/22902 | 365,184,227 | MDExOlB1bGxSZXF1ZXN0MjE5MTc5OTIz | 22,902 | DOC: #22899, Fixed docstring of itertuples in pandas/core/frame.py | {
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"followers_url": "https://api.github... | 11 | 2018-09-30T02:21:18Z | 2018-10-07T22:40:51Z | 2018-10-07T22:40:48Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
#22899
I went ahead and followed the docstring conventions mentioned here:
https://pandas.pydata.org/pandas-docs/stable/contributing_docstring.html
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"followers_url": "https://api.github... | 5 | 2018-09-30T03:13:41Z | 2018-11-20T12:02:42Z | 2018-11-20T10:41:33Z | MEMBER | null | Looking at `np.isscalar`'s docstring I see:
```
NumPy supports PEP 3141 numbers:
>>> from fractions import Fraction
>>> isscalar(Fraction(5, 17))
True
>>> from numbers import Number
>>> isscalar(Number())
True
```
pandas `lib.is_scalar` doesn't recognize Number or Fraction. | {
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- [X] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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#22900 was dealt with by adding an "import pandas as pd" line to the start of the examples section. | {
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"followers_url": "https://api.github... | 7 | 2018-09-30T07:40:40Z | 2019-01-06T15:53:48Z | 2019-01-06T15:53:48Z | CONTRIBUTOR | null | After 935c5d145 `pandas/tests/indexes/datetimes/test_astype.py` fails depending on the timezone:
in fact
```
TZ=Etc/GMT+1 pytest pandas/tests/indexes/datetimes/test_astype.py -k TestToPeriod
```
is OK while
```
TZ=Etc/GMT-1 pytest pandas/tests/indexes/datetimes/test_astype.py -k TestToPeriod
```
fails.
Thi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22906 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22906/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22906/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22906/events | https://github.com/pandas-dev/pandas/pull/22906 | 365,202,480 | MDExOlB1bGxSZXF1ZXN0MjE5MTkxMTky | 22,906 | DOC: Fix quantile docstring | {
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- [x] closes #22898
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Fixed the following bare excepts:
> pandas/compat/pickle_compat.py:36:13: E722 do not use bare except'
> pandas/compat/pickle_compat.py:47:13: E722 do not use bare except'
>... | {
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"followers_url": "https://api.github... | 4 | 2018-09-30T16:03:58Z | 2018-10-27T08:15:48Z | 2018-10-11T11:21:39Z | CONTRIBUTOR | null | - [x] closes #22813
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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#22296 introduced a test, where ``dtype=np.int64`` was used, but ``np.intp`` is needed for the test to pass on 32bit systems also. This fixes that.
After this PR, the pandas ... | {
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Download [this dataset](https://www.dropbox.com/s/99az9n1b57qkd9j/arxivData.json.tar.gz?dl=1) ([alternative link](https://yadi.sk/d/_nGyU2IajjR9-w)). Unpack it. Then
```python
import pandas as pd
df = pd.read_json('arxivData.json')
print(df.head(n=1))
```
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https://api.github.com/repos/pandas-dev/pandas/issues/22910 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22910/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22910/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22910/events | https://github.com/pandas-dev/pandas/pull/22910 | 365,249,855 | MDExOlB1bGxSZXF1ZXN0MjE5MjIwMTI2 | 22,910 | DEPR/CLN: Clean up to_dense signature deprecations | {
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"followers_url": "https://api.github... | 26 | 2018-09-30T18:43:56Z | 2018-10-18T18:53:01Z | 2018-10-18T17:30:04Z | MEMBER | null | Also deprecate `fill` in `.get_values` because its parameter was being passed to `.to_dense`, which
no longer accepts the `fill` parameter.
xref #14686.
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Initially the string methods, like replace, lower, zfill, strip etc etc.. are restricted to Series use only.
It would be good if a parameter is put to use it on data frames too. Methods like strip won't affect numeric columns since they wount be having spaces already. But if there is a method which can affect ... | {
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