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https://api.github.com/repos/pandas-dev/pandas/issues/23212 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23212/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23212/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23212/events | https://github.com/pandas-dev/pandas/issues/23212 | 371,228,317 | MDU6SXNzdWUzNzEyMjgzMTc= | 23,212 | API: Index and Array constructors design | {
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So topic of this issue: how should the di... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23215/events | https://github.com/pandas-dev/pandas/pull/23215 | 371,300,813 | MDExOlB1bGxSZXF1ZXN0MjIzNzgwMTYw | 23,215 | BUG/TST/REF: Datetimelike Arithmetic Methods | {
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- [ ] closes #xxxx
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I've been working over the new `IntervalIndex` behavior specs and found some issues with the tests for the new behavior. Wanted to make the requisite changes separately so the new behavior PR is as straightforward as possible (will open a WIP PR f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23219 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23219/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23219/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23219/events | https://github.com/pandas-dev/pandas/issues/23219 | 371,367,661 | MDU6SXNzdWUzNzEzNjc2NjE= | 23,219 | Unable to merge pandas dataframe with categorical values. | {
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#### Problem description
Unable to merge pandas dataframe with categorical values. Only the dataframe headers get merged. the dataframe remains empty.
File 1 details (rounds2)
rounds2.dtypes
company_permalink object
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#### Problem description
To use pandas.rolling, I had to convert my float64 nanoseconds timestamps to pandas.Timestamp.
Timestamps now appear nicer on matplotlib plots but when debugging and plotting `df.head()`, i would like to see the timestamp in nanosecond format rather than `Timestamp.__repr()__` that print... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23221 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23221/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23221/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23221/events | https://github.com/pandas-dev/pandas/pull/23221 | 371,528,350 | MDExOlB1bGxSZXF1ZXN0MjIzOTU0NTgx | 23,221 | CLN GH23204 remove "not" typo in assertion | {
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"followers_url": "https://api.github... | 3 | 2018-10-18T13:23:04Z | 2018-10-23T12:21:26Z | 2018-10-23T03:04:07Z | CONTRIBUTOR | null | - [x] closes #23204
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Remove an unwanted "not" in the assertion message.
This is my first pandas PR! Let me know if there's anything else I need to do. Thanks! | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23222 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23222/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23222/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23222/events | https://github.com/pandas-dev/pandas/issues/23222 | 371,557,595 | MDU6SXNzdWUzNzE1NTc1OTU= | 23,222 | Resampling using `nunique` causes multi-level columns to lose their level names | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-10-18T14:26:16Z | 2019-02-28T12:42:55Z | 2019-02-28T12:42:55Z | CONTRIBUTOR | null | #### Problem description
Resampling using `nunique` causes multi-level columns to lose their level names.
https://nbviewer.jupyter.org/gist/taljaards/20e945b7572aea1f4eb4aa4c6e823037
I only ran into this issue with `nunique`; I do not know if this is also the case for some other functions.
#### Expected Outpu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23223 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23223/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23223/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23223/events | https://github.com/pandas-dev/pandas/pull/23223 | 371,563,696 | MDExOlB1bGxSZXF1ZXN0MjIzOTgyNzQw | 23,223 | [WIP] Add basic ExtensionIndex class | {
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] | closed | false | null | [] | null | 13 | 2018-10-18T14:38:49Z | 2020-10-03T22:17:00Z | 2019-06-08T20:25:54Z | MEMBER | null | Explored this a bit 2 weeks ago, so thought could open it as a WIP PR in case it might serve discussion.
For me, the main question is how "complete" we want this to be, before we consider merging it. This WIP certainly already is able to preserve the EA in the Index (not convert to objects), and basic indexing works... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23224 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23224/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23224/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23224/events | https://github.com/pandas-dev/pandas/issues/23224 | 371,616,996 | MDU6SXNzdWUzNzE2MTY5OTY= | 23,224 | Support None in integer_array | {
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"followers_url": "https://api.github... | 0 | 2018-10-18T16:41:12Z | 2018-10-23T03:06:35Z | 2018-10-23T03:06:35Z | CONTRIBUTOR | null | It mostly works
```python
In [1]: import pandas as pd
In [2]: pd.core.arrays.integer_array([0, 1, None])
Out[2]: IntegerArray([0, 1, nan], dtype='Int64')
```
aside from
```pytb
In [3]: pd.core.arrays.integer_array([None])
---------------------------------------------------------------------------
Typ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23225 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23225/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23225/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23225/events | https://github.com/pandas-dev/pandas/issues/23225 | 371,627,689 | MDU6SXNzdWUzNzE2Mjc2ODk= | 23,225 | Pandas 0.23.4 reindexing multiindexed frame with `ffill` confusing output | {
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```python
# The last assertion fails here
import pandas as pd
def go():
sparse_index = pd.MultiIndex.from_product([['FOO'], ['a','b'], [0,3,6]])
full_index = pd.MultiIndex.from_product([['FOO'], ['a','b'], range(9)])
sparse_frame = pd.DataFr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23226 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23226/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23226/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23226/events | https://github.com/pandas-dev/pandas/issues/23226 | 371,635,410 | MDU6SXNzdWUzNzE2MzU0MTA= | 23,226 | Reindex error after df.loc + pd.pivot_table | {
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] | closed | false | null | [] | null | 4 | 2018-10-18T17:34:39Z | 2018-10-26T21:51:24Z | 2018-10-26T21:51:24Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
df1 = pd.DataFrame(np.arange(9).reshape(3, 3), columns=['a', 'b', 'c'])
df2 = df1.loc[df1['a'] == 123]
df3 = pd.pivot_table(df2, 'a', 'b', 'c', aggfunc='sum')
df3.reindex(columns=['a', 'b', 'c'])
```
##... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23227 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23227/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23227/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23227/events | https://github.com/pandas-dev/pandas/issues/23227 | 371,636,157 | MDU6SXNzdWUzNzE2MzYxNTc= | 23,227 | BUG/EA: groupby on an EA should return the EA type | {
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"followers_url": "https://api.github... | 4 | 2018-10-18T17:36:42Z | 2018-11-06T14:48:45Z | 2018-11-06T14:48:45Z | CONTRIBUTOR | null | ```
In [1]: df = pd.DataFrame({'Int': pd.Series([1, 2, 3], dtype='Int64'), 'A': [1, 2, 1]})
...: df
...:
Out[1]:
Int A
0 1 1
1 2 2
2 3 1
In [2]: df.groupby('A').Int.sum()
Out[2]:
A
1 4
2 2
Name: Int, dtype: int64
```
[2] should be of type Int64; IOW this aggregation needs ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23228 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23228/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23228/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23228/events | https://github.com/pandas-dev/pandas/issues/23228 | 371,637,376 | MDU6SXNzdWUzNzE2MzczNzY= | 23,228 | ENH: support EA types in read_csv | {
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"followers_url": "https://api.github... | 1 | 2018-10-18T17:40:10Z | 2019-01-02T02:57:20Z | 2019-01-02T02:57:20Z | CONTRIBUTOR | null | ```
In [3]: df = pd.DataFrame({'Int': pd.Series([1, 2, 3], dtype='Int64'), 'A': [1, 2, 1]})
...: df
...:
Out[3]:
Int A
0 1 1
1 2 2
2 3 1
In [4]: data = df.to_csv(index=False)
In [5]: data
Out[5]: 'Int,A\n1,1\n2,2\n3,1\n'
In [6]: from io import StringIO
In [7]: pd.read_csv(String... | {
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Users may want to create functions that apply customized styling to a dataframe or styler object.
In order to make these functions composable, a convenient signature is `f(styler) -> Styler`, so that a user can chain multiple such functions together, in a "mix-and-match" fashion. (N.B. S... | {
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```python
>>> import pandas as pd
# This works.
>>> pd.DataFrame({'a': [1, 2, 3], 'b': ['', '', '']}).apply(lambda row: row['a'], axis=1)
0 1
1 2
2 3
dtype: int64
# Here we also expect 1, 2, 3, as above.
>>> pd.DataFrame({'a': [1, 2,... | {
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https://github.com/pandas-dev/pandas/pull/23215#issuecomment-431127737
cc @datapythonista @jbrockmendel | {
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... | open | false | null | [] | null | 4 | 2018-10-19T00:11:22Z | 2020-04-01T03:43:55Z | null | NONE | null | I can see this being a feature for people that trust that their string formatted dates are easily parsable. But when this implicit coercion of string formatted dates to datetime objects is neither documented nor fully guaranteed to yield the right thing (because `2/1/2018` can be either `%d/%m/%Y` or `%m/%d/%Y` formatt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23235/events | https://github.com/pandas-dev/pandas/pull/23235 | 371,781,643 | MDExOlB1bGxSZXF1ZXN0MjI0MTUyMTI5 | 23,235 | PERF: speed up CategoricalIndex.get_loc | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This is the the final puzzle for #20395 and speeds up ``CategoricalIndex.get_loc`` for monotonic increasing indexes.
This PR supersedes #21699, so #21699 should be closed.
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```python
>>> df = pd.DataFrame({'a':[0,1],'b':[4,5]})
>>> df
a b
0 0 4
1 1 5
>>> df.iat[0, 0] = None
>>> df
a b 0
0 0 4 NaN
1 1 5 NaN
```
#### Problem description
This is problematic for multiple reasons.
- inconsistency betwee... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Allows for initialization of `integer_array` with `[None]`, lists of `None`, and lists made of only `None` and other na types | {
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- [ ] tests added / passed
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`read_fwf` can infer the widths of columns of a dataset from a file or buffer, but if the widths change after the first 100 rows, then the default behavior fails to capture the ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23239/events | https://github.com/pandas-dev/pandas/issues/23239 | 372,016,853 | MDU6SXNzdWUzNzIwMTY4NTM= | 23,239 | Duplicated column name causes inconsistent ValueError during assignment to a unique column | {
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"color": "0e... | closed | false | null | [] | {
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```python
df1 = pd.DataFrame([[1,2,3,4]], columns=['C','D','D','a'])
df1['a'] = df1['a']
ValueError: Buffer has wrong number of dimensions (expected 1, got 0)
```
However, the following works without an error message:
```python
df1 = pd.DataFrame([[1,2,3... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23240 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23240/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23240/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23240/events | https://github.com/pandas-dev/pandas/pull/23240 | 372,033,456 | MDExOlB1bGxSZXF1ZXN0MjI0MzQ2ODM0 | 23,240 | TST: parametrize and de-duplicate arithmetic tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23241 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23241/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23241/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23241/events | https://github.com/pandas-dev/pandas/issues/23241 | 372,044,444 | MDU6SXNzdWUzNzIwNDQ0NDQ= | 23,241 | Gaps in ExtensionArray test coverage | {
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"followers_url": "https://api.github... | 4 | 2018-10-19T17:17:57Z | 2018-10-30T11:42:05Z | 2018-10-30T11:42:05Z | CONTRIBUTOR | null | We need tests that assert
1. `fillna` raises when passed an array of the wrong length
2. `fillna` returns a copy when there are no missing value
3. `take` raises when passed an invalid object for `fill_value` (may be somewhat tricky to do in a base test).
These tests would go in https://github.com/pandas-dev/pa... | {
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```python
In [1]: import pandas as pd
In [2]: import numpy as np
In [3]: from pandas.api.types import CategoricalDtype
In [4]: s1 = pd.Series([np.nan, np.nan]).astype('category')
In [5]: s1
Out[5]:
0 NaN
1 NaN
dtype: category
Categories (0, ... | {
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] | closed | false | null | [] | null | 4 | 2018-10-19T22:22:46Z | 2018-10-19T22:46:48Z | 2018-10-19T22:30:33Z | NONE | null | #### Problem
I am trying to explore the **[GDELT](https://blog.gdeltproject.org/gdelt-2-0-our-global-world-in-realtime/)** dataset. I read the file as a csv, having downloaded it from the website. Their initial csv file does not contain the header, but I *added them from the Google Big Query col names*. The header i... | {
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Test file : [1.xlsx](https://github.com/pandas-dev/pandas/files/2497717/1.xlsx)
```
import pandas as pd
q = pd.read_excel('1.xlsx')
sid = '81bc85dc-bf4b-44ef-98fa-fa13a1f54142'
pid = '96ed6132-fb17-4511-b31c-5bbea2f57069'
def timestamp2datetime(series, unit='ms'):
return pd.to_datetime(series, unit... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/23246 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23246/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23246/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23246/events | https://github.com/pandas-dev/pandas/issues/23246 | 372,192,466 | MDU6SXNzdWUzNzIxOTI0NjY= | 23,246 | What if I need to get columns with mixed types? | {
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#### Problem description
According to the [documentation](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.errors.DtypeWarning.html), we get DtypeWarning: Columns (0) have mixed types if the data contains integers and strings and it is suggested to set low_memory = False, and this removes the warning. B... | {
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] | closed | false | null | [] | null | 5 | 2018-10-20T09:31:10Z | 2018-11-24T02:26:02Z | 2018-11-24T02:26:02Z | NONE | null | Issue #22550 | {
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I wanted to do a month timedelta but upon checking the [pd.to_timedelta docstring](https://github.com/pandas-dev/pandas/blob/v0.23.4/pandas/core/tools/timedeltas.py#L26) I gave up on this as an option because there was no 'M' option. I then tried many other round-the-houses methods until som... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23249 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23249/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23249/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23249/events | https://github.com/pandas-dev/pandas/pull/23249 | 372,224,530 | MDExOlB1bGxSZXF1ZXN0MjI0NDgyNjc2 | 23,249 | CLN:Remove unused **kwargs from user facing methods | {
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"followers_url": "https://api.github... | 12 | 2018-10-20T15:49:42Z | 2018-11-12T14:24:34Z | 2018-11-12T04:45:27Z | CONTRIBUTOR | null | closes GH18748 for user facing methods.
An updated [extra_kwargs.txt](https://github.com/pandas-dev/pandas/files/2498300/extra_kwargs.txt) mostly shows internal functions and false positives.
There are a few cases like all of the `visit_*` functions that removing the `**kwargs` breaks the API.
- [ ] xref #18... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23250 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23250/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23250/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23250/events | https://github.com/pandas-dev/pandas/issues/23250 | 372,225,128 | MDU6SXNzdWUzNzIyMjUxMjg= | 23,250 | Why does df.merge(x) not work when x is a pd.Series? | {
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```
s = pd.Series([10, 9, 11], index=['a', 'b', 'c'], name='w')
df = pd.DataFrame([[3, 4, 5], [6, 7, 8], ['b', 'a', 'c']], index=['x', 'y', 'z'], columns=['p', 'q', 'r']).transpose()
df.merge(s, how='left', left_on='z', right_index=True) # fails
df.mer... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23251 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23251/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23251/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23251/events | https://github.com/pandas-dev/pandas/issues/23251 | 372,229,665 | MDU6SXNzdWUzNzIyMjk2NjU= | 23,251 | ENH: Allow use of keep="all" in duplicated | {
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"description": "Requires... | open | false | null | [] | null | 7 | 2018-10-20T16:44:42Z | 2021-07-06T18:34:00Z | null | CONTRIBUTOR | null | #### keep="all" as parameter option in `duplicated`
My view is that a more intuitive parametrization of the `duplicated` function would be that `keep='all'` should allow you to keep all, since `keep=False` kind of doesn't make any sense.
I have started on a pull request but had not realised how tightly coupled th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23252 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23252/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23252/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23252/events | https://github.com/pandas-dev/pandas/pull/23252 | 372,231,135 | MDExOlB1bGxSZXF1ZXN0MjI0NDg3MDUw | 23,252 | ENH: Allow keep="all" in duplicated method (#23251) | {
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] | closed | false | null | [] | null | 3 | 2018-10-20T16:56:37Z | 2018-11-23T07:59:00Z | 2018-11-23T03:36:15Z | CONTRIBUTOR | null | - [ ] closes #23251
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Unfortunately this didn't end up being as clean as I had hoped (due to preventing keep="all" being allowed when calling implicitly through drop_duplicates. So put in a bit of du... | {
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"... | open | false | null | [] | null | 5 | 2018-10-20T17:08:38Z | 2020-05-11T02:31:26Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
from datetime import datetime as dt
dates = [
dt(2000, 1, 1, 0, 0),
dt(2000, 1, 1, 0, 0, 30),
dt(2000, 1, 1, 0, 1),
dt(2000, 1, 1, 0, 1, 30),
dt(2000, 1, 1, 0, 2),... | {
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df = pd.read_fwf(
fname,
names=columns,
header=None,
widths=col_len,
iterator=True,
chunksize=chunk_size,
encoding="iso8859_1",
memory_map=True,
)
```
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"followers_url": "https://api.github... | 36 | 2018-10-20T19:12:14Z | 2019-01-05T16:11:17Z | 2019-01-02T02:57:20Z | CONTRIBUTOR | null | Closes GH23228
- [x ] closes #23228
- [ x] tests added / passed
- [x ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x ] whatsnew - May need some guidance on this part.
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https://api.github.com/repos/pandas-dev/pandas/issues/23256 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23256/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23256/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23256/events | https://github.com/pandas-dev/pandas/pull/23256 | 372,244,655 | MDExOlB1bGxSZXF1ZXN0MjI0NDk1OTU3 | 23,256 | TST: stricter monotonicity/uniqueness tests | {
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"followers_url": "https://api.github... | 2 | 2018-10-20T19:24:39Z | 2018-10-23T08:27:34Z | 2018-10-23T03:18:28Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Asserting a method always passes. For example ``assert df.agg`` always passes.
By making the monotonicity and uniqueness tests stricter (i.e. testing for actual True/False rat... | {
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```
(pandas) root@XXXXX:/mnt/e/ProgrammingProjects/pandas/doc# python3 make.py latex
Running Sphinx v1.8.1
/root/miniconda3/envs/pandas/lib/python3.6/site-packages/sphinx/application.py:402: RemovedInSphinx20Warning: app.info() is now deprecated. Use sphinx.util.logging instead.
RemovedInSphinx20W... | {
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I have updated the docstring following the convention and I have added some examples.
Please let me know if I can further improve this.
Thanks | {
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The following changes were made:
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Do we need to pin pyarrow in the CI config to make sure both versions are tested? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23267 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23267/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23267/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23267/events | https://github.com/pandas-dev/pandas/issues/23267 | 372,366,635 | MDU6SXNzdWUzNzIzNjY2MzU= | 23,267 | BUG: date_range with negative, non-Tick frequencies returns an empty DatetimeIndex | {
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```python
In [40]: pd.__version__
Out[40]: '0.24.0.dev0+812.g5f051408f.dirty'
# Bug
In [41]: pd.date_range(start='2012-01-02', end='2011-01-02', freq='-1W')
Out[41]: DatetimeIndex([], dtype='datetime64[ns]', freq='-1W-SUN')
# Addition with Timestamps wo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23268 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23268/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23268/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23268/events | https://github.com/pandas-dev/pandas/issues/23268 | 372,366,819 | MDU6SXNzdWUzNzIzNjY4MTk= | 23,268 | BUG: date_range with negative, non-Tick frequencies returns an empty DatetimeIndex | {
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```python
In [40]: pd.__version__
Out[40]: '0.24.0.dev0+812.g5f051408f.dirty'
#Bug
In [41]: pd.date_range(start='2012-01-02', end='2011-01-02', freq='-1W')
Out[41]: DatetimeIndex([], dtype='datetime64[ns]', freq='-1W-SUN')
# Addition with a Timestamp works
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23269 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23269/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23269/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23269/events | https://github.com/pandas-dev/pandas/issues/23269 | 372,367,079 | MDU6SXNzdWUzNzIzNjcwNzk= | 23,269 | BUG: date_range with negative, non-Tick frequencies returns an empty DatetimeIndex | {
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```python
In [40]: pd.__version__
Out[40]: '0.24.0.dev0+812.g5f051408f.dirty'
#Bug
In [41]: pd.date_range(start='2012-01-02', end='2011-01-02', freq='-1W')
Out[41]: DatetimeIndex([], dtype='datetime64[ns]', freq='-1W-SUN')
# Addition with a Timestamp works
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23270 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23270/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23270/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23270/events | https://github.com/pandas-dev/pandas/issues/23270 | 372,367,928 | MDU6SXNzdWUzNzIzNjc5Mjg= | 23,270 | BUG: date_range with negative, non-Tick frequencies returns empty DatetimeIndex | {
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"followers_url": "https://api.github... | 2 | 2018-10-21T23:28:56Z | 2018-10-23T03:09:10Z | 2018-10-23T03:09:10Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [40]: pd.__version__
Out[40]: '0.24.0.dev0+812.g5f051408f.dirty'
#Bug
In [41]: pd.date_range(start='2012-01-02', end='2011-01-02', freq='-1W')
Out[41]: DatetimeIndex([], dtype='datetime64[ns]', freq='-1W-SUN')
# Addition with a Timestamp works
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https://api.github.com/repos/pandas-dev/pandas/issues/23271 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23271/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23271/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23271/events | https://github.com/pandas-dev/pandas/pull/23271 | 372,392,120 | MDExOlB1bGxSZXF1ZXN0MjI0NTg3ODY1 | 23,271 | Implement Series.__rdivmod__, un-xfail tests | {
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"followers_url": "https://api.github... | 3 | 2018-10-22T04:35:44Z | 2018-10-23T02:59:57Z | 2018-10-23T02:56:49Z | MEMBER | null | - [x] closes #19252
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/23272 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23272/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23272/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23272/events | https://github.com/pandas-dev/pandas/issues/23272 | 372,469,465 | MDU6SXNzdWUzNzI0Njk0NjU= | 23,272 | Can not install pandas | {
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```
sudo pypy -m pip install pandas
The directory '/home/lorenzo/.cache/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, yo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23273 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23273/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23273/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23273/events | https://github.com/pandas-dev/pandas/issues/23273 | 372,507,975 | MDU6SXNzdWUzNzI1MDc5NzU= | 23,273 | pandas.MultiIndex.set_levels does not accept generator | {
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"followers_url": "https://api.github... | 2 | 2018-10-22T12:51:39Z | 2018-10-25T11:56:23Z | 2018-10-25T11:33:42Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
index = pd.MultiIndex.from_tuples(((0,1), (0, 2)))
index.set_levels(map(int, (3,)), level=0)
```
#### Problem description
Raises
```python
TypeError: 'map' object is not subscriptable
```
Workaround by wrapping map with list.
#### Expected O... | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2018-10-22T14:01:17Z | 2021-03-24T00:24:30Z | 2018-10-22T20:54:35Z | CONTRIBUTOR | null | df.to_sql is very slow, and takes hours, when connecting to sql server using sql alchemy connection
https://github.com/mkleehammer/pyodbc/wiki/Features-beyond-the-DB-API#fast_executemany
Performance is much faster after using fast_executemany
```
@event.listens_for(engine_local, 'before_cursor_execute')
def re... | {
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"followers_url": "https://api.github... | 2 | 2018-10-22T14:48:17Z | 2018-10-25T03:42:01Z | 2018-10-23T03:08:46Z | MEMBER | null | - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Combined a some pairs of similar tests into single tests, e.g. `test_get_indexer_with_interval_multiple_queries` and `test_get_indexer_with_interval_single_queries` are essentially testing the same functionality but with different input to `get_ind... | {
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] | closed | false | null | [] | null | 3 | 2018-10-22T15:34:02Z | 2018-10-22T21:05:47Z | 2018-10-22T21:05:47Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import feather
df1 = pd.DataFrame([1,2,3,1,2,4], columns=['a'])
df1.a = df1.a.astype('category')
print(df1.a.unique())
df1.to_feather('a.feather')
df1 = feather.read_dataframe('a.feather')
df1.a.unique()
```
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] | closed | false | null | [] | null | 9 | 2018-10-22T17:38:40Z | 2018-10-26T09:47:25Z | 2018-10-25T23:37:37Z | CONTRIBUTOR | null | Added a simple example of using the sum method on a multi-indexed series.
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://travis-ci.org/pandas-dev/pandas/builds/444265455
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"followers_url": "https://api.github... | 1 | 2018-10-22T18:36:38Z | 2018-10-28T22:31:14Z | 2018-10-28T22:31:14Z | NONE | null | #### Code Sample
```python
s = pd.Series([pd.NaT, pd.NaT])
# Returns nan
s.min()
# Returns NaT
s.max()
```
#### Problem description
Calling `.min()` on an series of `NaT` returns `nan`. I would expect this to return `NaT` to as to keep the type the same. Also, whether it returns `nan` or `NaT`, I wou... | {
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"followers_url": "https://api.github... | 4 | 2018-10-22T18:39:41Z | 2018-11-10T12:12:32Z | 2018-11-10T12:12:32Z | NONE | null | Hi,
I'm trying to write a partitioned Parquet file using the `to_parquet` function:
```python
df.to_parquet('table_name', engine='pyarrow', partition_cols = ['partone', 'parttwo'])
TypeError: __cinit__() got an unexpected keyword argument 'partition_cols'
```
#### Problem description
It was my understanding... | {
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This prevents ExtensionArray-backed series from being converted to object-dtype in unstack.
The strategy is to do a dummy unstack on an ndarray of integers, which provides the `indices` to `take` later on. We then concat together at the end. This provided d... | {
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There were two bugs in master (not present in 0.23.4), probably from the SparseArray PR
1. We need to unbox the EA values from Series before passing to `EA._concat_same_type`
2. We need to followup with a `take` to get the correct order.
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I think we need to add a test case for rdivmod as its now defined on Series. | {
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- [X] tests passed
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For `max`, `NaT` values are filled with the lowest possible value. For `min`, they are filled with the highest possible value. The problem is that only the lowest possible value is rec... | {
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Quite surprisingly, `is_list_like` accepts a wide range of iterables including non-subscriptable objects. Later in the code `set_levels` implicitly supposes that passed instan... | {
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* adds a basic (but incomplete) `__array_ufunc__` implementation for `IntegerArray` (to be able to check it is correctly used from Series for ExtensionArrays)
* adds `Series.__array_ufunc__` (not yet for `Index`)
---
@TomAugspurger revived my branch, will try to work on it a bit further this afternoo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23294 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23294/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23294/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23294/events | https://github.com/pandas-dev/pandas/pull/23294 | 372,917,421 | MDExOlB1bGxSZXF1ZXN0MjI0OTc1NzQy | 23,294 | TST: stricter monotonicity/uniqueness tests (part 2) | {
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"followers_url": "https://api.github... | 5 | 2018-10-23T10:06:12Z | 2018-10-27T08:15:45Z | 2018-10-24T12:34:51Z | CONTRIBUTOR | null | - [x] xref #23256
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Continuation of #23256.
By making the uniqueness tests stricter (i.e. testing for actual True/False rather than truthy/Falsy values) I think we get better ensurance that some P... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23295 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23295/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23295/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23295/events | https://github.com/pandas-dev/pandas/issues/23295 | 372,961,816 | MDU6SXNzdWUzNzI5NjE4MTY= | 23,295 | How to use rolling_std with Pandas 0.23.4? | {
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```python
df = pd.DataFrame({"a": [1, 2, 3,4, 5, 6]})
print("pd.__version__:", pd.__version__)
# pd.__version__: 0.23.4
df['vola'] = pd.rolling_std(df['a'], window=2)
# AttributeError: module 'pandas' has no attribute 'rolling_std'
df['vola'] = df['a'].roll... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23296 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23296/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23296/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23296/events | https://github.com/pandas-dev/pandas/issues/23296 | 372,970,201 | MDU6SXNzdWUzNzI5NzAyMDE= | 23,296 | BUG: Categorical.take with fill_value | {
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"followers_url": "https://api.github... | 2 | 2018-10-23T12:19:11Z | 2018-10-23T19:52:36Z | 2018-10-23T19:52:36Z | CONTRIBUTOR | null | We need to translate the user-provided `fill_value` to the `code` for that category before taking.
```
In [1]: import pandas as pd
In [2]: c = pd.Categorical(['a', 'b', 'c'])
In [3]: c.take([0, 1, -1], fill_value='a', allow_fill=True)
```
```pytb
----------------------------------------------------------... | {
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"followers_url": "https://api.github... | 3 | 2018-10-23T14:04:23Z | 2018-10-23T19:52:39Z | 2018-10-23T19:52:36Z | CONTRIBUTOR | null | Closes https://github.com/pandas-dev/pandas/issues/23296 | {
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- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` | {
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```python
df= pd.read_csv(filename, sep='\t',names=['PID','WORD','-','POS','-','-','PID-WITH','RELATION','-','-'])
```
#### Problem description
The input csv file in my case is actually a tab separated file.
I am getting a UserWarning after following t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23300 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23300/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23300/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23300/events | https://github.com/pandas-dev/pandas/issues/23300 | 373,051,436 | MDU6SXNzdWUzNzMwNTE0MzY= | 23,300 | Add base test for ExtensionArray.__setitem__ | {
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"followers_url": "https://api.github... | 2 | 2018-10-23T15:07:33Z | 2018-10-26T01:38:18Z | 2018-10-26T01:38:18Z | CONTRIBUTOR | null | The tests in https://github.com/pandas-dev/pandas/blob/master/pandas/tests/extension/base/setitem.py seem to mainly operate on ExtensionArrays that are boxed in a Series.
It would be good to directly test ExtensionArray.__setitem__.
Some of these tests could be parametrized with something like
```python
@pyte... | {
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... | closed | false | null | [] | null | 3 | 2018-10-23T16:52:24Z | 2018-10-24T20:59:46Z | 2018-10-24T20:59:46Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Taken from the [pandas docs](https://pandas.pydata.org/pandas-docs/stable/style.html):
```python
>>> df.style.highlight_null().render().split('\n')[:20]
['<style type="text/css" >',
' #T_70282eae_d6e2_11e8_b967_f218980ce499row0_col2 {',
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https://api.github.com/repos/pandas-dev/pandas/issues/23302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23302/events | https://github.com/pandas-dev/pandas/pull/23302 | 373,124,722 | MDExOlB1bGxSZXF1ZXN0MjI1MTMxNTg5 | 23,302 | fix and test incorrect case in delta_to_nanoseconds | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23303 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23303/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23303/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23303/events | https://github.com/pandas-dev/pandas/pull/23303 | 373,131,281 | MDExOlB1bGxSZXF1ZXN0MjI1MTM1ODcx | 23,303 | TST: re-enable gbq tests | {
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"followers_url": "https://api.github... | 6 | 2018-10-23T18:10:24Z | 2018-10-26T00:34:55Z | 2018-10-26T00:18:57Z | CONTRIBUTOR | null | Fix clean-up steps to use the google.cloud.bigquery client
library directly, since some of the _Dataset and _Table
logic was removed from pandas-gbq.
Follow-up to #23281
- [x] tests added / passed
```
$ pytest pandas/tests/io/test_gbq.py
====== test session starts ======
platform darwin -- Python 3.6.4, p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23304/events | https://github.com/pandas-dev/pandas/pull/23304 | 373,159,251 | MDExOlB1bGxSZXF1ZXN0MjI1MTU2MDE5 | 23,304 | Add base test for extensionarray setitem #23300 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/23305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23305/events | https://github.com/pandas-dev/pandas/issues/23305 | 373,162,678 | MDU6SXNzdWUzNzMxNjI2Nzg= | 23,305 | Columns lose category dtype after calling replace on the dataframe | {
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#### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd
>>> pd.__version__
'0.23.4'
# Sample dataframe with two categorical and one int column
>>> df = pd.DataFrame(
... [[1., 'A', 'x'], [2, 'B', 'y'], [3, 'C', 'z']... | {
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There are a bunch of GH issues (will track down the list in a bit) that boil down to users expecting DataFrame+(Series|ndarray|listlike) ops to operate column-by-column. This PR implements that behavior for a subset of cases. In particular:
- `other` is a `Series`: indexes match exa... | {
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Also gets rid of some backslashes, both for prettiness and to get rid of deprecation warnings in test logs. | {
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We end up with 3 xfailed tests instead of 223. Runtime dro... | {
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