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https://api.github.com/repos/pandas-dev/pandas/issues/27613 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27613/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27613/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27613/events | https://github.com/pandas-dev/pandas/issues/27613 | 473,437,178 | MDU6SXNzdWU0NzM0MzcxNzg= | 27,613 | assert_series_equal doesn't distinguish between different NA values | {
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] | closed | false | null | [] | null | 2 | 2019-07-26T16:21:22Z | 2020-10-09T15:47:12Z | 2020-10-09T15:47:12Z | MEMBER | null | The following, based on tests.indexing.test_datetime.TestDatetimeIndex.test_indexing_with_datetime_tz passes, I think incorrectly
```
now = pd.Timestamp.now()
left = pd.Series([now, pd.NaT, pd.NaT], dtype=object)
right = pd.Series([now, np.nan, np.nan], dtype=object)
tm.assert_series_equal(left, right)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/27614 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27614/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27614/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27614/events | https://github.com/pandas-dev/pandas/issues/27614 | 473,454,626 | MDU6SXNzdWU0NzM0NTQ2MjY= | 27,614 | GroupBy(axis=1) Does Not Offer Implicit Selection By Columns Name(s) | {
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```python
import pandas as pd
import numpy as np
df = pd.DataFrame(np.arange(12).reshape(3, 4), index=[0, 1, 0], columns=[10, 20, 10, 20])
df.index.name = "y"
df.columns.name = "x"
print df
print
print "Grouped along index:"
print df.groupby(by="y"... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27615 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27615/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27615/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27615/events | https://github.com/pandas-dev/pandas/pull/27615 | 473,455,400 | MDExOlB1bGxSZXF1ZXN0MzAxNjE5NDAx | 27,615 | Move json_normalize to pd namespace | {
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"followers_url": "https://api.github.com/users/wesm... | 30 | 2019-07-26T17:12:09Z | 2019-12-18T19:55:50Z | 2019-12-18T19:53:18Z | CONTRIBUTOR | null | - Added a whatsnew entry
- Imported pandas.io.json.json_normalize in __init__.py
- [x] closes #27586
- [x] whatsnew entry
cc: @WillAyd | {
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I construct a `Series` in several ways that should give the same output from `to_dict()`, but instead I get different output types. In my case, this breaks downstream JSON serializers.
The code sample below includes cases with correct output (`bool`) and incorrect (`numpy.bool_`) -- see i... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I propose to deprecate (DataFrame|Series).filter. The method's functionality is already in the ``.loc``method, except the regex functionality, for whi... | {
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In reviewing this module there is a shared function for object keys and values which encodes objects into a separate buffer and subsequently indexes off of that. Instead of encoding values in a buffer I've updated that function to be a char ** pointing to string representations of the labels (or ... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [ ] Needs geopandas compat
- [x] Need to remove ix asvs | {
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- [ ] tests added / passed
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This fixes some docstring formatting issues: e.g. some deprecated directives do not appear in current docs because the two colons are missing `.. dep... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27622 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27622/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27622/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27622/events | https://github.com/pandas-dev/pandas/issues/27622 | 473,627,272 | MDU6SXNzdWU0NzM2MjcyNzI= | 27,622 | BUG: AttributeError in scripts/validate_docstrings for doc.returns[0].name | {
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```shell
python scripts/validate_docstrings.py pandas.Series.item
```
```
Traceback (most recent call last):
File "scripts/validate_docstrings.py", line 1047, in <module>
args.ignore_deprecated,
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https://api.github.com/repos/pandas-dev/pandas/issues/27623 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27623/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27623/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27623/events | https://github.com/pandas-dev/pandas/pull/27623 | 473,627,597 | MDExOlB1bGxSZXF1ZXN0MzAxNzUxOTY1 | 27,623 | Fix AttributeError in scripts/validate_docstrings for doc.returns[0].name | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27624 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27624/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27624/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27624/events | https://github.com/pandas-dev/pandas/pull/27624 | 473,632,641 | MDExOlB1bGxSZXF1ZXN0MzAxNzU1NDM3 | 27,624 | BUG: cells are missing in the excel file when exporting excel using xlsxwriter with option constant_memory set to True (#15392) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27625 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27625/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27625/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27625/events | https://github.com/pandas-dev/pandas/pull/27625 | 473,670,899 | MDExOlB1bGxSZXF1ZXN0MzAxNzgwODQz | 27,625 | remove undesired values kwarg | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27626 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27626/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27626/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27626/events | https://github.com/pandas-dev/pandas/pull/27626 | 473,671,735 | MDExOlB1bGxSZXF1ZXN0MzAxNzgxNDM1 | 27,626 | CLN: de-kludge quantile, make interpolate_with_fill understand datetime64 | {
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-quantile: de-kludging the base class method and putting the datetimetz-specific stuff in a subclass method. This will allow us to implement the refactor suggested in #14562. If/when DTA supports 2D, we'll be able to get rid of the subclass override kludge altogether.
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https://api.github.com/repos/pandas-dev/pandas/issues/27627 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27627/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27627/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27627/events | https://github.com/pandas-dev/pandas/pull/27627 | 473,693,256 | MDExOlB1bGxSZXF1ZXN0MzAxNzk2Mjkz | 27,627 | CLN: de-kludge Block.quantile | {
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```python
python scripts/validate_docstrings.py pandas.Series.item
```
#### Problem description
As pointed out by PR #27621, `scripts/validate_docstrings.py` does not detect dosctrings containing a reST directive without two colons.
#### Expected Output
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https://api.github.com/repos/pandas-dev/pandas/issues/27631 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27631/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27631/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27631/events | https://github.com/pandas-dev/pandas/pull/27631 | 473,754,700 | MDExOlB1bGxSZXF1ZXN0MzAxODM4OTM1 | 27,631 | BUG: raise when wrong level name is passed to "unstack" | {
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"followers_url": "https://api.github.... | 3 | 2019-07-28T15:16:26Z | 2019-08-03T11:44:30Z | 2019-07-29T16:55:40Z | MEMBER | null | - [x] closes #18303
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Notice that I profited to make the error message a bit more understandable. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27633 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27633/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27633/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27633/events | https://github.com/pandas-dev/pandas/pull/27633 | 473,823,816 | MDExOlB1bGxSZXF1ZXN0MzAxODg3Mzcx | 27,633 | EA: implement+test EA.view | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27634 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27634/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27634/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27634/events | https://github.com/pandas-dev/pandas/issues/27634 | 473,897,551 | MDU6SXNzdWU0NzM4OTc1NTE= | 27,634 | pandas.ExcelWriter has abstract methods | {
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] | closed | false | null | [] | null | 12 | 2019-07-29T07:37:42Z | 2020-05-07T23:08:25Z | 2020-05-07T23:08:25Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
"""Lorem ipsum"""
import pandas as pd
def demo():
"""Demo for the false positive"""
with pd.ExcelWriter("demo.xlsx") as writer:
print(writer)
```
#### Problem description
The code shown above gives pylint: ``abstra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27635 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27635/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27635/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27635/events | https://github.com/pandas-dev/pandas/issues/27635 | 473,903,632 | MDU6SXNzdWU0NzM5MDM2MzI= | 27,635 | export result as csv file | {
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```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27636 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27636/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27636/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27636/events | https://github.com/pandas-dev/pandas/issues/27636 | 473,930,501 | MDU6SXNzdWU0NzM5MzA1MDE= | 27,636 | Operators between DataFrame and Series fail on large dataframes | {
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"followers_url": "https://api.github.... | 9 | 2019-07-29T08:54:57Z | 2019-08-19T17:20:24Z | 2019-08-19T17:20:24Z | CONTRIBUTOR | null | #### Code Sample
```python
import pandas as pd
ind = list(range(0, 100))
cols = list(range(0, 300))
df = pd.DataFrame(index=ind, columns=cols, data=1.0)
series = pd.Series(index=cols, data=cols)
print(df.multiply(series, axis=1).head()) # Works fine
ind = list(range(0, 100000))
cols = list(range(0, 300))
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27637 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27637/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27637/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27637/events | https://github.com/pandas-dev/pandas/issues/27637 | 473,993,909 | MDU6SXNzdWU0NzM5OTM5MDk= | 27,637 | Add comment char parameter to to_csv method | {
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... | open | false | null | [] | null | 6 | 2019-07-29T11:17:50Z | 2021-07-10T19:13:58Z | null | NONE | null | #### Code Sample
```
import pandas as pd
pd.DataFrame( ["a'", 'a"', "a,", "a#"], columns=["Column"]).to_csv("my.csv", index=False)
```
results in my.csv:
```
Column
a'
"a"""
"a,"
a#
```
(a# is not quoted)
#### Problem description
We would like to use the "#" character as comment indicator such that l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27638 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27638/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27638/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27638/events | https://github.com/pandas-dev/pandas/issues/27638 | 474,030,215 | MDU6SXNzdWU0NzQwMzAyMTU= | 27,638 | ravel missing for IntegerArray Series | {
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```
import pandas
s1 = pandas.Series([1])
s2 = pandas.Series([1], dtype='Int64')
s1.ravel()
s2.ravel()
```
gives:
```
array([1])
Traceback (most recent call last):
File "/home/gijs/Work/alliander/rpy2/.venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py", li... | {
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"id... | open | false | null | [] | null | 0 | 2019-07-29T14:50:29Z | 2020-04-26T21:07:52Z | null | CONTRIBUTOR | null | #### Code Sample
After some hypothesis testing on our codebase we noticed that pd.eval can cause a max recursion limit when run on an empty dataframe or an all NaN dataframe:
```python
import pandas as pd
df = pd.DataFrame(index=list(range(0,1)), columns=list('abc'))
df.eval('a*b') # Max recursion limit
```
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] | closed | false | null | [] | null | 1 | 2019-07-29T17:49:55Z | 2019-07-29T19:23:03Z | 2019-07-29T19:22:57Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
A = pd.DataFrame(data = {'variable':[{'k0':'v0'}, {'k1':'v1'}]})
B = A.copy()
B.loc[0,'variable']['k0'] = 'v2'
A
## variable
## 0 {'k0': 'v2'}
## 1 {'k1': 'v1'}
B
## variable
## 0 {'k0': 'v2'}
## 1 {'k1': 'v1'}
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"followers_url": "https://api.github.... | 4 | 2019-07-29T18:03:54Z | 2019-08-22T13:09:49Z | 2019-08-22T13:09:49Z | CONTRIBUTOR | null | #### Code Sample
```python
import pandas as pd
import numpy as np
print(
"""
\nPandas merge_asof() bug:
\tUnimplemented error?
\tcannot use tolerance flag when my index is a timedelta (not a timestamp)
\tjust documenting so I can try to add this functionality
""")
... | {
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And I need to change the package name t... | {
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Best, Patrik | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
# Your code here
import pandas as pd
my_list = [["654645", "54854"], ["1654151", "1564484"]]
df = pd.DataFrame(my_list, columns=["ds", "y"])
df = df.apply(pd.to_numeric, args=({"errors": "coerce"}))
print(df)
```
#### Problem description
Ru... | {
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Some random thoughts
1. Focus on "user API for working with tabular data" (de-emphasize things like in-memory format, array library, algorithms)
2. Focus on "spirit" rather than strict rules.
3. Single-machine (but not necessarily single-core?)
4. In-memory only?
5. Visu... | {
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- [x] tests 2 / 1 [added / passed]
- [X] passes `black pandas`
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- [x] tests added / passed
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"description": "Interval... | open | false | null | [] | null | 4 | 2019-07-30T07:19:40Z | 2021-07-10T19:16:00Z | null | NONE | null | Due to #23980 the following code now raises a ValueError since 0.25:
#### Code Sample, a copy-pastable example if possible
```python
ii = pd.IntervalIndex.from_tuples([(0, 10), (2, 12), (4, 14)])
pd.cut([5, 6], bins=ii)
```
#### Problem description
Before #23980 an IntervalIndex with overlapping columns could ... | {
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```python
#code snippet
...
elif filename.endswith('.csv'):
file_df = pd.read_csv(filed)
....
```
#### Automating pandas csv read into a pandas dataframe.
I am trying to build a Flask app that automates reading of files into a dataframe once they are uploaded. The issue is with... | {
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... | 4 | 2019-07-30T09:50:33Z | 2021-07-10T19:16:56Z | null | MEMBER | null | From https://github.com/pandas-dev/pandas/issues/27553 and https://github.com/pandas-dev/pandas/issues/27522, I quickly looked at how consistent we are with defining errors and warnings in `pandas.errors`.
So we have a `pandas.errors` module which is meant to publicly expose our custom exceptions and warnings.
So... | {
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```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl... | {
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```python
import random as rd
df_single = pd.DataFrame(data={"Col1": rd.sample(range(1, 100), 25)}, index=rd.sample(range(1, 100), 25))
single_slice = df_single[:9]
single_slice.index
df_multi = pd.DataFrame(data={"Col1": rd.sample(range(1, 100), 25)}, i... | {
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```python
import pandas as pd
df = pd.DataFrame({"col":[False, True]})
df.replace({"col": {False:0, True:1}})
```
#### Problem description
The previous code triggers the following error:
ValueError: Replacement not allowed with overlapping keys and v... | {
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If we do this, should do the same for main website as well. | {
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N/A
#### Problem description
The cheat sheet link at https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf is broken
#### Expected Output
The cheat sheet should show up.
#### Output of ``pd.show_versions()``
v0.25 docs. Link to it is at https://pand... | {
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This PR attempts to solve the missing value problems when using nested meta with nested record path.
The assumption is that we want to get the ... | {
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https://github.com/pandas-dev/pandas/blob/143bc34aa8f068b18e7137df7ca91b9929cc1389/pandas/core/reshape/tile.py#L373-L378
It seems like it'd be more perform... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27669 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27669/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27669/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27669/events | https://github.com/pandas-dev/pandas/pull/27669 | 474,924,882 | MDExOlB1bGxSZXF1ZXN0MzAyNzc3Nzcx | 27,669 | PERF: Improve performance of cut with IntervalIndex bins | {
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- [X] benchmarks added / passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
ASV output:
```
before after ratio
[143bc34a] [d531e7b0]
<master> <perf-cut-ii>
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] | closed | false | null | [] | null | 1 | 2019-07-31T06:12:54Z | 2019-07-31T23:21:06Z | 2019-07-31T23:21:05Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
cat = pd.Series(pd.Categorical(
['a', 'c', 'a', 'b', 'a'],
categories=['a', 'b', 'c'],
ordered=True))
cat.value_counts()
```
#### Problem description
This outputs the value... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27671 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27671/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27671/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27671/events | https://github.com/pandas-dev/pandas/issues/27671 | 475,076,557 | MDU6SXNzdWU0NzUwNzY1NTc= | 27,671 | Pandas Series Resampling Produces NaNs | {
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... | 8 | 2019-07-31T12:55:37Z | 2021-07-10T19:18:27Z | null | NONE | null | The following code replace NaN values from a dataframe and works perfectly:
```
import pandas as pd
import numpy as np
df = pd.DataFrame({'key': ['01', '01', '01', '03', '04', '05'], 'A': [np.nan, 'A1', 'A2', 'A3', np.nan, np.nan], 'B': [1, 2, 3, np.nan, 5, 6]})
df2 = pd.DataFrame({'key': ['01', '03', '04', '05', ... | {
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```python
pd.Series(['E'], dtype=FletcherDType(pa.string())
```
#### Problem description
This leads to the following traceback but should actually create a Series object of a string-based type.
<details>
```
def test_constructor_sanitation():
... | {
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] | closed | false | null | [] | null | 7 | 2019-07-31T13:18:15Z | 2019-08-02T11:39:16Z | 2019-08-02T11:36:40Z | CONTRIBUTOR | null | I had to add a string-based Arrow Extension array to trigger the bug but did not run the same test suite as we do on the boolean array as I don't see it adding value but just runtime at the moment.
- [x] closes #27673
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u... | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-07-31T15:07:24Z | 2019-10-25T17:01:30Z | 2019-10-25T17:01:30Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
pandas.read_excel('mybook.ods', sheet_name='mysheet', engine='odf')
```
#### Problem description
If the sheet specified does not exist, an error is thrown:
```
---> 63 raise ValueError("sheet {name} not found".format(name))
64 ... | {
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- [x] closes #27676
- [x] tests added / passed
- [x] passes `black pandas`
- [ ] 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/27678 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27678/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27678/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27678/events | https://github.com/pandas-dev/pandas/issues/27678 | 475,214,104 | MDU6SXNzdWU0NzUyMTQxMDQ= | 27,678 | Option to raise on dtype coercion in append / concat | {
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```python
In [0]:
base = pd.Series({4:400, 5:500, 6:600, 7:700})
print(base)
print(base.index)
4 400
5 500
6 600
7 700
dtype: int64
Int64Index([4, 5, 6, 7], dtype='int64')
In [0]:
addon = pd.Series({'6': '600'})
print(addon)
prin... | {
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"followers_url": "https://api.github.c... | 7 | 2019-07-31T15:43:21Z | 2020-05-26T09:30:28Z | 2020-04-21T12:39:06Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
try:
pd.DataFrame({'foo': [None, ['foo', 'bar']]}).to_parquet('s3://foo/bar')
except Exception as e:
print('Here') ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27680 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27680/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27680/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27680/events | https://github.com/pandas-dev/pandas/issues/27680 | 475,237,555 | MDU6SXNzdWU0NzUyMzc1NTU= | 27,680 | Issue with to_clipboard(excel=True) with negative floats | {
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```python
import pandas as pd
import numpy as np
pd.DataFrame({ 'A' : np.arange(-10, 10 + 1 ,1.1)}).to_clipboard(excel=True)
```
#### Problem description
When using to_clipboard(excel=True) with a negative float number, and pasting it on Excel, it shows... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27681 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27681/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27681/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27681/events | https://github.com/pandas-dev/pandas/issues/27681 | 475,261,269 | MDU6SXNzdWU0NzUyNjEyNjk= | 27,681 | How and where in the source code is .loc defined? | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2019-07-31T17:12:25Z | 2019-08-01T10:33:15Z | 2019-07-31T17:50:08Z | NONE | null | Hi, been browsing through the source code of pandas for the last couple of days, looking for:
**How and where in the source code is `.loc` like in `df.loc['foo']` defined?**
I found out that the type of a Dataframe `.loc` attribute is `pandas.core.indexing._LocIndexer` but how and where is that implemented? | {
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"followers_url": "https://api.github.com/users/wesm... | 8 | 2019-07-31T20:14:26Z | 2019-11-09T17:15:26Z | 2019-11-08T14:45:02Z | CONTRIBUTOR | null | - [x] closes #26597
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Used West's online [algorithm](https://dl.acm.org/citation.cfm?id=359153). [Here](http://www.nowozin.net/sebastian/blog/streaming-mean-and-varianc... | {
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The step after this removes _try_cast_result. | {
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```python
""" Insert dataframe into table."""
if not df1.empty:
df1['source'].str.lower()
df1 = df1.replace(r'^\s*$', 0, regex=True)
df1.to_sql(config['table_name'], schema='ecs_marketing',
con=conn, chunksize=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27685 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27685/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27685/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27685/events | https://github.com/pandas-dev/pandas/pull/27685 | 475,445,186 | MDExOlB1bGxSZXF1ZXN0MzAzMTk2NjQ4 | 27,685 | CLN: Prune unnecessary internals | {
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Removing "pragma: no cover" in a couple places because I'm working in those areas and it would be easier if we caught more specific things so I want to see if they are ever reached. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27686 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27686/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27686/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27686/events | https://github.com/pandas-dev/pandas/issues/27686 | 475,527,563 | MDU6SXNzdWU0NzU1Mjc1NjM= | 27,686 | df.plot with two plots in the same axes and 2nd one is line plot makes different chart between 0.23.4 and 0.25.0 | {
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```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('iris.csv')
dfg = df.groupby('species').mean()
dfg['swratio'] = dfg.sepal_width / dfg.sepal_length
fig, ax = plt.subplots(figsize=(10, 6))
dfg[['sepal_length', 'sepal_width'... | {
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There is no content in the Contributors section of the pandas v0.25.0 Release Notes: https://pandas.pydata.org/pandas-docs/stable/whatsnew/v0.25.0.html#contributors
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https://api.github.com/repos/pandas-dev/pandas/issues/27688 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27688/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27688/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27688/events | https://github.com/pandas-dev/pandas/issues/27688 | 475,578,839 | MDU6SXNzdWU0NzU1Nzg4Mzk= | 27,688 | DataFrameGroupBy.ffill() and .bfill() remove column upon which it was grouped | {
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```python
import pandas as pd
df = pd.DataFrame({'a': [1, 1, 1, 2], 'b': [11, 11, None, None]})
# a b
# 0 1 11.0
# 1 1 11.0
# 2 1 NaN
# 3 2 NaN
df.groupby('a').ffill()
# b
# 0 11.0
# 1 11.0
# 2 11.0
# 3 NaN
```
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https://api.github.com/repos/pandas-dev/pandas/issues/27689 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27689/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27689/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27689/events | https://github.com/pandas-dev/pandas/pull/27689 | 475,645,527 | MDExOlB1bGxSZXF1ZXN0MzAzMzU0Nzg1 | 27,689 | DOC: 0.25 fixups | {
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"followers_url": "https://api.github.... | 2 | 2019-08-01T12:07:54Z | 2019-10-22T12:10:11Z | 2019-08-01T13:57:00Z | CONTRIBUTOR | null | * fix tag for contributors
* fix 0.25.1 contributors
* remove orphan
Closes https://github.com/pandas-dev/pandas/issues/27687 | {
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``` python
# input data
import pandas as pd
t1 = pd.DataFrame(index=[0], data={'x':[1]}, dtype='UInt8')
t2 = pd.DataFrame(index=[1], data={'y':[1]}, dtype='UInt8')
t3 = pd.concat([t1,t2], join='outer', sort=False)
'''actual result'''
print(t3.dtypes)
# x object
# y object
... | {
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```python
# Your code here
dt=pd.date_range('2012','2013',freq='d')
df_test=pd.DataFrame(index=dt)
df_test['x']=123
df_test.loc['2012 2','x']
```
#### Problem description
`.loc` operation above used to return a `pd.Series` but in v0.25.0 returns a... | {
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- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/27697 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27697/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27697/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27697/events | https://github.com/pandas-dev/pandas/issues/27697 | 475,739,671 | MDU6SXNzdWU0NzU3Mzk2NzE= | 27,697 | pandas.DataFrame.apply runs twice if an exception is raised | {
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```python
import pandas as pd
# create a dataframe containing a nan value
inputs = [{'a': i} for i in range(2)]
inputs.append({'a':None})
df = pd.DataFrame(inputs)
def buggy_function(row):
if not pd.isnull(row.a):
print(f'foo {row.a}')
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https://api.github.com/repos/pandas-dev/pandas/issues/27705 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27705/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27705/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27705/events | https://github.com/pandas-dev/pandas/issues/27705 | 475,949,153 | MDU6SXNzdWU0NzU5NDkxNTM= | 27,705 | 0.22.0: 3 failed tests on ubuntu 16.04 (xenial) with numpy 1.13.3 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27706 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27706/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27706/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27706/events | https://github.com/pandas-dev/pandas/pull/27706 | 475,951,993 | MDExOlB1bGxSZXF1ZXN0MzAzNjA1ODQ3 | 27,706 | CLN: rename reduce-->do_reduce | {
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Assorted cleanups; added type annotations in a few places. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27707 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27707/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27707/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27707/events | https://github.com/pandas-dev/pandas/issues/27707 | 475,971,728 | MDU6SXNzdWU0NzU5NzE3Mjg= | 27,707 | DOC: instructions for installing C Compiler are missing | {
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>Pandas uses C extensions (mostly written using Cython) to speed up certain operations. To install pandas from source, you need to compile these C extensions, which means you need a C compiler. This ... | {
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```html
<table><td>
...
<tr class="row-even"><td><a class="reference internal" href="api/pandas.Series.T.html#pandas.Series.T" title="pandas.Series.T"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Series.T</span></cod... | {
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The following case should return `True` according to the docstring of `Series.any(skip... | {
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cc @jreback if you have thoughts on this approach. | {
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