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https://api.github.com/repos/pandas-dev/pandas/issues/22612 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22612/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22612/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22612/events | https://github.com/pandas-dev/pandas/issues/22612 | 357,347,857 | MDU6SXNzdWUzNTczNDc4NTc= | 22,612 | ValueError when using pandas with a module overloading numpy's __eq__ with xpress | {
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"description": "pandas objects compatabi... | closed | false | null | [] | null | 5 | 2018-09-05T18:21:47Z | 2021-06-22T04:53:04Z | 2021-06-22T04:53:04Z | NONE | null | The following code produces a ValueError at the second print with pandas >= 0.22 and any version of xpress (available on conda and PyPI):
```python
import pandas as pd
n = 3
str1 = ['a'] * n
str2 = ['b'] * n
str3 = ['c'] * n
str1[0] = 'd'
df = pd.DataFrame({'key':str1, 'val1':str2, 'val2':str3})
df... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22613 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22613/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22613/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22613/events | https://github.com/pandas-dev/pandas/issues/22613 | 357,348,809 | MDU6SXNzdWUzNTczNDg4MDk= | 22,613 | Series.str.decode() turns arrays of strings to NaN and fails on byte strings | {
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"description": "String extension data ty... | open | false | null | [] | null | 9 | 2018-09-05T18:24:22Z | 2020-08-06T14:54:27Z | null | NONE | null | Hello,
this looks like a bug:
```
x = np.array(['x','y'])
pd.Series(x).str.decode(encoding='UTF-8',errors='strict')
0 NaN
1 NaN
dtype: float64
```
the line above is also used in pytables.py:
[data = Series(data).str.decode(encoding, errors=errors).values](https://github.com/pandas-dev/pandas/blob... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22614 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22614/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22614/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22614/events | https://github.com/pandas-dev/pandas/issues/22614 | 357,364,673 | MDU6SXNzdWUzNTczNjQ2NzM= | 22,614 | BUG: DataFrame+DataFrame ops | {
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"description": "Non-arithmetic algos: va... | closed | false | null | [] | null | 5 | 2018-09-05T19:09:48Z | 2018-10-12T16:46:55Z | 2018-10-12T16:46:54Z | MEMBER | null | There are code paths for arithmetic methods (in particular `DataFrame._combine_frame`, `_combine_match_index`) that operate with `self.values`, `other.values`, and as a result behave differently from their Series/Index analogues. Example:
```
df = pd.DataFrame([pd.Timedelta(seconds=1), pd.Timedelta(seconds=2)])
d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22615 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22615/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22615/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22615/events | https://github.com/pandas-dev/pandas/issues/22615 | 357,365,421 | MDU6SXNzdWUzNTczNjU0MjE= | 22,615 | DOC: scripts/validate_docstrings.py should detect when the short summary span over multiple lines | {
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"followers_url": "https://api.github... | 4 | 2018-09-05T19:12:02Z | 2018-09-18T13:00:18Z | 2018-09-18T13:00:18Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Take any docstring and write a short summary (the first line of the docstring) on multiple lines. Then test it with `./scripts/validate_docstrings.py pandas.DataFrame.my_method`.
#### Problem description
As discussed in #22516 and in the [documentation](ht... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22616 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22616/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22616/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22616/events | https://github.com/pandas-dev/pandas/issues/22616 | 357,425,106 | MDU6SXNzdWUzNTc0MjUxMDY= | 22,616 | Bug in the api pandas.get_dummies() | {
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] | closed | false | null | [] | null | 1 | 2018-09-05T22:19:29Z | 2018-09-05T22:35:44Z | 2018-09-05T22:35:44Z | NONE | null | In pandas.get_dummies, dtype attribute does not work. Please help!
pd.get_dummies(pd.Series(list('abc')), dtype=float)
TypeError: get_dummies() got an unexpected keyword argument 'dtype'
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https://api.github.com/repos/pandas-dev/pandas/issues/22617 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22617/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22617/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22617/events | https://github.com/pandas-dev/pandas/pull/22617 | 357,459,706 | MDExOlB1bGxSZXF1ZXN0MjEzNDY5NjE0 | 22,617 | Test in scripts/validate_docstrings.py that the short summary is always one line long | {
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"followers_url": "https://api.github... | 4 | 2018-09-06T01:16:49Z | 2018-09-18T13:27:11Z | 2018-09-18T13:00:19Z | CONTRIBUTOR | null | - [x] closes #22615
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
The previous test to check if the summary property should be empty was based on the non-existence of the extended summary which doesn't seem to make sense. The test case I added failed before changin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22618 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22618/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22618/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22618/events | https://github.com/pandas-dev/pandas/issues/22618 | 357,599,944 | MDU6SXNzdWUzNTc1OTk5NDQ= | 22,618 | Merge matches np.nan and None while merging | {
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... | 2 | 2018-09-06T10:49:08Z | 2021-07-21T04:37:57Z | 2021-07-21T04:37:56Z | NONE | null | #### Code Sample
```
pd.merge(pd.DataFrame({'a':[None,np.nan,'A','B']}),pd.DataFrame({'a':[None,np.nan,'A']}))
```
#### Problem description
The ouput I get is this
a
0 None
1 None
2 NaN
3 NaN
4 A
#### Expected Output
The ideal behavior should be
a
1 A
#### Output of... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22619 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22619/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22619/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22619/events | https://github.com/pandas-dev/pandas/issues/22619 | 357,622,318 | MDU6SXNzdWUzNTc2MjIzMTg= | 22,619 | Pandas 0.23.4: when does "ValueError: Values falls before first bin" happens during grouping? | {
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] | closed | false | null | [] | null | 6 | 2018-09-06T11:58:53Z | 2018-09-08T05:05:03Z | 2018-09-07T20:36:01Z | NONE | null | I didn't find any reference of a Pandas error that happens during grouping: `"ValueError: Values falls before first bin"`.
Can it be due to a internal bug?
According to my opinion it should never happen that a group cannot be done. None should be returned instead.
The trace is:
File "new_calc.py", line ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22620 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22620/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22620/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22620/events | https://github.com/pandas-dev/pandas/issues/22620 | 357,669,412 | MDU6SXNzdWUzNTc2Njk0MTI= | 22,620 | DataFrame.to_dict(orient='records') numeric inconsistency | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2018-09-06T14:01:22Z | 2019-11-05T17:18:21Z | 2019-11-05T17:18:21Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Similar to #11247, but related to numerics. If there are any object columns in the DataFrame, then numerical columns are turned into native types, whereas if all columns are numpy numerics, they stay that way:
```python
import pandas as pd
df = pd.DataFram... | {
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... | 2 | 2018-09-06T15:04:20Z | 2021-06-22T04:54:16Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>> pd.DataFrame().append({"a": 1}, ignore_index=True)
a
0 1.0
```
#### Problem description
I would expect append not to change the dtype of the a column from `int` to `float`, and for the output to be identical to that of `pd.concat([pd.D... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22622 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22622/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22622/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22622/events | https://github.com/pandas-dev/pandas/pull/22622 | 357,751,619 | MDExOlB1bGxSZXF1ZXN0MjEzNjkyMjU2 | 22,622 | DataFrame.corrwith() method now supports 'how', 'method' and 'min_periods' params | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
A method `DataFrame.corrmatrix()` creates a correlation matrix between
all columns of the first DataFrame object and all columns of the second
DataFrame object. It differs from `corrwith()` in tha... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22623 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22623/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22623/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22623/events | https://github.com/pandas-dev/pandas/issues/22623 | 357,777,705 | MDU6SXNzdWUzNTc3Nzc3MDU= | 22,623 | why same modification without any intererst | {
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] | closed | false | null | [] | null | 2 | 2018-09-06T18:41:42Z | 2018-09-06T19:03:43Z | 2018-09-06T18:53:15Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```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.]
before with previous version we can sort the value of data frame by row and affe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22624 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22624/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22624/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22624/events | https://github.com/pandas-dev/pandas/issues/22624 | 357,865,287 | MDU6SXNzdWUzNTc4NjUyODc= | 22,624 | Refactor test_sql.py | {
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"d... | closed | false | null | [] | null | 1 | 2018-09-06T23:27:53Z | 2020-10-23T15:21:14Z | 2020-10-23T15:21:14Z | CONTRIBUTOR | null | Off the back of discussion in this [PR](https://github.com/pandas-dev/pandas/pull/22515) we should consider refactoring [test_sql.py](https://github.com/pandas-dev/pandas/blob/master/pandas/tests/io/test_sql.py) to use just [PyTest Fixtures](https://docs.pytest.org/en/latest/fixture.html) opposed to fixures and the [ol... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22625 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22625/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22625/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22625/events | https://github.com/pandas-dev/pandas/pull/22625 | 357,872,112 | MDExOlB1bGxSZXF1ZXN0MjEzNzgyNTM2 | 22,625 | STYLE: Fixing #18419 - Fixing flake8 issues to allow for >3.4.1 support | {
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... | [] | closed | false | null | [] | null | 3 | 2018-09-07T00:03:14Z | 2018-09-07T00:11:06Z | 2018-09-07T00:11:06Z | CONTRIBUTOR | null | - [x] closes #18419
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
There were tons of E722's, in a lot of cases I did not know what exceptions the author was expecting, so have unfortunately had to mark as `except Exception`, but where possible... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This is the renewal of #22356, as the git got tangled up I re-forked the repo. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22627 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22627/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22627/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22627/events | https://github.com/pandas-dev/pandas/issues/22627 | 358,061,232 | MDU6SXNzdWUzNTgwNjEyMzI= | 22,627 | Series.reorder_levels docstring includes extra `axis` argument. | {
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] | closed | false | null | [] | null | 3 | 2018-09-07T13:10:56Z | 2020-09-22T23:24:18Z | 2020-09-22T23:24:17Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
def reorder_levels(self, order):
"""
Rearrange index levels using input order. May not drop or duplicate
levels
Parameters
----------
order : list of int representing new level order.
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22628 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22628/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22628/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22628/events | https://github.com/pandas-dev/pandas/pull/22628 | 358,104,708 | MDExOlB1bGxSZXF1ZXN0MjEzOTU3NDg3 | 22,628 | BUG: Some sas7bdat files with many columns are not parseable by read_sas | {
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"followers_url": "https://api.github... | 10 | 2018-09-07T15:07:08Z | 2018-09-18T12:17:17Z | 2018-09-18T12:13:46Z | CONTRIBUTOR | null | - [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
The reason is that column definitions may be split up into different pages.
Allow column information to be parsed from different pages
and add a test for it.
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https://api.github.com/repos/pandas-dev/pandas/issues/22629 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22629/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22629/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22629/events | https://github.com/pandas-dev/pandas/issues/22629 | 358,151,727 | MDU6SXNzdWUzNTgxNTE3Mjc= | 22,629 | read_excel ignores `sheet_name` parameter in PyInstaller EXE but not in Python interpreter | {
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```python
import pandas as pd
filepath = 'C:/Users/User/Documents/Development/Python/PandaTest/test1.xlsx'
df = pd.read_excel(filepath, sheet_name='Data Entry', index_col=1)
print(df.head())
```
#### Problem description
I'm using the Pandas `read_excel` function to import data from a spread... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22630 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22630/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22630/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22630/events | https://github.com/pandas-dev/pandas/issues/22630 | 358,181,085 | MDU6SXNzdWUzNTgxODEwODU= | 22,630 | BUG: SparseDataFrame coerces input to dense matrix if string-type index is given | {
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```python
import scipy.sparse as sp
import pandas as pd
import numpy as np
shape = (500000, 50000)
data = np.repeat(1, 10000)
i = np.random.choice(shape[0], 10000, replace=False)
j = np.random.choice(shape[1], 10000, replace=False)
X = sp.coo_matrix((data... | {
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"followers_url": "https://api.github... | 3 | 2018-09-08T02:22:30Z | 2018-11-29T12:48:26Z | 2018-11-29T12:48:26Z | CONTRIBUTOR | null | ```
In [1]: pd.__version__
Out[1]: '0.20.3'
In [2]: i = pd.timedelta_range('1 day', periods=3)
In [3]: i / i
TypeError: cannot evaluate a numeric op with a non-numeric dtype
```
master
```
In [1]: pd.__version__
Out[1]: '0.24.0.dev0+550.g70c9003c9'
In [2]: i = pd.timedelta_range('1 day', periods=3)
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https://api.github.com/repos/pandas-dev/pandas/issues/22633 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22633/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22633/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22633/events | https://github.com/pandas-dev/pandas/pull/22633 | 358,266,681 | MDExOlB1bGxSZXF1ZXN0MjE0MDc4OTcz | 22,633 | DOC: Add more documentation showcasing CalendarDay | {
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Highlighting usages of `CalendarDay` with `date_range` and `resample` specifically. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22634 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22634/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22634/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22634/events | https://github.com/pandas-dev/pandas/pull/22634 | 358,266,879 | MDExOlB1bGxSZXF1ZXN0MjE0MDc5MDky | 22,634 | BUG: NaN should have pct rank of NaN | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22635 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22635/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22635/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22635/events | https://github.com/pandas-dev/pandas/issues/22635 | 358,273,949 | MDU6SXNzdWUzNTgyNzM5NDk= | 22,635 | Pandas 0.23.4 failed to build simple DataFrame in python2.7 | {
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import pandas
import numpy as np
df = pd.DataFrame(np.random.randint(low=0, high=10, size=(5, 5)),
columns=['a', 'b', 'c', 'd', 'e'])
#### Problem description
File "/Users/nicolaspauen/Desktop/MA_Pauen/03-Ausarbeitung/3.6/unti... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22636 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22636/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22636/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22636/events | https://github.com/pandas-dev/pandas/pull/22636 | 358,280,754 | MDExOlB1bGxSZXF1ZXN0MjE0MDg3Mjk3 | 22,636 | DOC: improve doc string for .aggregate and df.transform | {
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This PR updates the methods' doc strings to reflect that. For example, we can now pass a dict to DataFrame.agg/transform, also when ``axis=1``, and DataFrame.transform now accepts an ``axis`` parameter.
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* Migrate to CircleCI 2.0 (#21814)
* Pin `openpyxl` to `2.5.5` (#22601)
* Bump `numpy` to `1.9.3` (#22499)
* Fix locale handling (#21739, #22213)
* Upgrade `Cython` to `>=0.28.2` (#21688) | {
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Use python-style isinstance checks in cases where cython will automatically optimize them into C calls.
Part of the hope is that we can get the code close enough to valid python that we can trick flake8 into working on it. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22639 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22639/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22639/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22639/events | https://github.com/pandas-dev/pandas/issues/22639 | 358,324,554 | MDU6SXNzdWUzNTgzMjQ1NTQ= | 22,639 | API: Standardize usage of underscores in multi-word kwargs | {
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By [my rough count](https://docs.google.com/spreadsheets/d/1h_iQ5Pexs5SuCT2pfbN8OH6ld6ZyvWqTEaH2W-xkEJE/edit?usp=sharing), the [`read_csv`](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html) method has nearly 50 keyword ar... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22640 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22640/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22640/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22640/events | https://github.com/pandas-dev/pandas/pull/22640 | 358,327,035 | MDExOlB1bGxSZXF1ZXN0MjE0MTEzOTYz | 22,640 | BUG: df.sort_values() not respecting na_position with categoricals #22556 | {
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"followers_url": "https://api.github... | 6 | 2018-09-08T20:51:57Z | 2018-10-18T23:32:03Z | 2018-10-18T16:07:26Z | CONTRIBUTOR | null | - [x] closes #22556
- [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/22641 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22641/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22641/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22641/events | https://github.com/pandas-dev/pandas/pull/22641 | 358,329,463 | MDExOlB1bGxSZXF1ZXN0MjE0MTE1NTU0 | 22,641 | DOC: improve doc string for .aggregate and .transform | {
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This PR updates the methods' doc strings to reflect the new reality. For example, we can now pass a dict to DataFrame.agg/transform when ``axis=1`` also, and ``DataFrame.transform`` now has an ``axis`` parame... | {
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```python
In [32]: df1 = pd.DataFrame(data={'a':['1', '2'], 'b':['3', '4']})
In [33]: df1.sum(axis=1)
Out[33]:
0 13.0
1 24.0
dtype: float64
In [34]: df2 = pd.DataFrame(data={'a':['i', 'j'], 'b':['m', 'n']})
In [35]: df2.sum(axis=1)
O... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Currently, users do not have any control over nonexistent datetime handling when `tz_localize`ing like they do ambiguous times. This adds a new keyword `nonexistent` to `tz_local... | {
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All remaining fixtures in tests/arithmetic are collected in tests/arithmetic/conftest.py
Fixtures are given more descriptive names and docstrings as requested in #22350.
A handful of tests ... | {
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```
pandas/tests/plotting/test_frame.py::TestDataFramePlots::()::test_plot
/home/travis/build/pandas-dev/pandas/pandas/core/indexes/multi.py:1556: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
if lab[key] == -1:
/ho... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Discussed in #22560, adding an `ambiguous` argument to `round`, `ceil` and `floor` so the user can dictate how to handle rounding timestamps that land on ambiguous times.
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] | closed | false | null | [] | null | 10 | 2018-09-09T13:13:42Z | 2018-11-20T16:29:42Z | 2018-11-20T16:29:42Z | NONE | null | I just forked the pandas-dev/pandas repo and tried to clone it on my Windows [Version 6.1.7601] box.
```
Z:\software>git clone https://github.com/Michael-E-Rose/pandas.git
Cloning into 'pandas'...
remote: Counting objects: 152309, done.
remote: Compressing objects: 100% (8/8), done.
remote: Total 152309 (delta ... | {
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#### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
from numpy import around
df = pd.Data... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22650 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22650/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22650/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22650/events | https://github.com/pandas-dev/pandas/pull/22650 | 358,391,972 | MDExOlB1bGxSZXF1ZXN0MjE0MTUzMjgx | 22,650 | BUG: Dont include deleted rows from sas7bdat files (#15963) | {
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] | closed | false | null | [] | null | 9 | 2018-09-09T16:35:50Z | 2020-05-04T05:30:40Z | 2019-02-06T03:31:36Z | CONTRIBUTOR | null | Sas7bdat files may contain rows which are actually deleted.
After reverse engineering the file format a bit, I found that
if the page_type has bit 7 set, there is a bitmap following
the normal row data with a bit set for a given row if it has been
deleted. Use that information to not include deleted rows in
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https://api.github.com/repos/pandas-dev/pandas/issues/22651 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22651/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22651/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22651/events | https://github.com/pandas-dev/pandas/pull/22651 | 358,401,912 | MDExOlB1bGxSZXF1ZXN0MjE0MTU5MzM4 | 22,651 | BUG: Make sure that sas7bdat parsers memory is initialized to 0 (#21616) | {
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"followers_url": "https://api.github... | 7 | 2018-09-09T18:58:39Z | 2018-09-15T12:13:01Z | 2018-09-15T12:12:56Z | CONTRIBUTOR | null | Memory for numbers in sas7bdat-parsing was not initialized properly to 0.
For sas7bdat files with numbers smaller than 8 bytes this made the
least significant part of the numbers essentially random.
Fix it by initializing memory correctly.
- [X] closes #21616
- [X] tests added / passed
- [X] passes `git diff up... | {
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"followers_url": "https://api.github... | 9 | 2018-09-09T20:42:12Z | 2018-09-15T16:39:27Z | 2018-09-14T12:43:59Z | CONTRIBUTOR | null | Planning to do a clean-up of the `Series.str.cat` internals and wanted to expand ASV-coverage before doing so.
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"followers_url": "https://api.github... | 4 | 2018-09-09T22:29:20Z | 2018-09-18T14:47:41Z | 2018-09-18T14:47:32Z | CONTRIBUTOR | null | When integer arrays contained integers that were outside
the range of int64, the conversion would overflow.
Instead only allow allow safe casting and if a safe cast can not
be done, cast to float64 instead.
- [X] closes #22487
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flak... | {
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- [x] closes #23510
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [x] tests added / passed
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```python
import pandas as pd
df1 = pd.DataFrame({'A':[1,2,3],'B':[1,2,3]})
df2 = pd.DataFrame(df1)
df2.B = df2.B.shift(-1)
print('id-df1 :',id(df1),'id-df2:',id(df2))
print('df1:\n',df1)
print('df2:\n',df2)
```
#### Problem description
![pdchage](https... | {
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"followers_url": "https://api.github... | 5 | 2018-09-10T08:51:47Z | 2018-09-30T21:27:18Z | 2018-09-30T21:27:18Z | CONTRIBUTOR | null | ## Changes
- change suffix `_JP` to `_JA` according to `ISO 639`
- fixed typo in `Pandas_Cheat_Sheet_JA.pdf`
- translated `Pandas_Cheat_Sheet_JA.pptx` in Japanese | {
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"followers_url": "https://api.github... | 9 | 2018-09-10T12:34:25Z | 2018-09-27T12:54:28Z | 2018-09-27T12:54:12Z | CONTRIBUTOR | null | Updated iteritems docstring to start with an infinitive and added a short example
- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
df = pd.DataFrame(np.random.rand(200, 1),
index=pd.DatetimeIndex(start='2017-01-01', freq='15min', periods=200, tz='Europe/Berlin'),
columns=['t2p'])
df.resample('1d').aggregate(['mean'])
...
OverflowError [... | {
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pd.read_csv("pandas_bug.tsv", sep="\t", index_col=None, header=None, encoding='utf-8', skip_blank_lines=True, quotechar='"')
#### Problem description
The pandas_bug.tsv looks like this
3 abc 5.6
4 "abc" 4.3
5 "error 3.3
This code line results in an error
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conda create -q -n pandas1 python=3.6 pandas=0.23.4
source activate pandas1
```
```python
>>> import pandas as pd
>>>
>>> pd.MultiIndex.from_tuples(
... [("B1", "A1"), ("B2", "A1")], names=["B", "A"]
... ).to_frame()
B A
B A
B1 A1 B1 A1
B2 A1 B2 A1
```
```
conda crea... | {
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```python
In [2]: df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=list('abc'))
In [3]: df + pd.Series([-1, -2], index=list('ab'))
Out[3]:
a b c
0 0.0 0.0 NaN
1 3.0 3.0 NaN
In [4]: df['c'] = 'c'
In [5]: df + pd.Series([-1, -2], index... | {
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"followers_url": "https://api.github... | 2 | 2018-09-11T19:01:36Z | 2018-09-20T14:01:32Z | 2018-09-20T14:01:32Z | CONTRIBUTOR | null | ```python
In [1]: import pandas as pd
In [2]: idx = pd.CategoricalIndex([True, False, True])
In [3]: pd.Series(range(3))[idx]
Out[3]:
True NaN
False NaN
True NaN
dtype: float64
```
Expected:
```python
In [4]: pd.Series(range(3))[idx.astype(object)]
Out[4]:
0 0
2 2
dtype: int64
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Closes #22665
Two commits: https://github.com/pandas-dev/pandas/commit/fe3500248dec1b21469e94e054f636dc7707fae0 partially implements an Arrow-backed ExtensionArray. We need this as we don't currently have any boolean-values EAs.
https://github.com/pandas-dev/pandas/commit/04029ac94d1e53fbec18264b... | {
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I'm about to start working on adding support for non-glibc linux platforms (Alpine etc)[1, 2] to the pip/wheel toolset (https://github.com/pypa/manylinux/issues/37). Long story short, pip wheels don't support musl libc at this moment, so if you want to install pandas in a neat small Alpine-based Docker image, yo... | {
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```python
import pandas as pd
import numpy as np
def add_quantiles(data, column, quantiles=4):
"""
Returns the given dataframe with dummy columns for quantiles of a given column. Quantiles can be a int to
specify equal spaced quantiles or an ar... | {
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xref #14645. | {
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"followers_url": "https://api.github... | 6 | 2018-09-12T00:06:59Z | 2018-09-12T06:03:06Z | 2018-09-12T06:01:13Z | CONTRIBUTOR | null | IMO the [MultiIndex / Advanced Indexing](http://pandas-docs.github.io/pandas-docs-travis/advanced.html) section of the docs are a bit thin on cross references, so it's too difficult to make deeper looks into the API, when you are in doubt.
I've added cross references. They're added relatively sparingly, typically o... | {
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xref #14645.
Follow-up to #15601. | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Fix the docstring for DataFrame.to_xarray as described in #22459 . I removed the pandas.panel example since it was deprecated and I replaced it with a MultiIndex. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22675 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22675/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22675/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22675/events | https://github.com/pandas-dev/pandas/issues/22675 | 359,282,751 | MDU6SXNzdWUzNTkyODI3NTE= | 22,675 | BLD/IO: Elusive Travis ResourceWarning & closing files by default | {
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```
____________________ TestPythonParser.test_no_header_prefix ____________________
[gw0] darwin -- Python 3.5.6 /Users/travis/miniconda3/envs/pandas/bin/python
self = <pandas.tests.io.parser.test_parsers.TestPythonParser object at 0x11d030da0>
def... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22676 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22676/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22676/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22676/events | https://github.com/pandas-dev/pandas/issues/22676 | 359,325,934 | MDU6SXNzdWUzNTkzMjU5MzQ= | 22,676 | DOC/DEPR: sep vs pat in series.str.partition | {
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"followers_url": "https://api.github... | 2 | 2018-09-12T05:54:47Z | 2018-11-20T01:07:24Z | 2018-11-20T01:07:24Z | CONTRIBUTOR | null | All the way back to the v0.16 docs, `Series.str.partition` (https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.str.partition.html) has the signature ```Series.str.partition(pat=' ', expand=True)```, but the docs only talk about `sep` instead of `pat`.
![3](https://user-images.githubusercontent.com/33... | {
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Currently, `pd.read_csv` has two booleans
* **error_bad_lines** : boolean, default True
Lines with too many fields (e.g. a csv line with too many commas) will by default cause an exception to be raised, and no DataFrame will be returned. If False, then these “bad lines” will ... | {
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```python
test_df = pd.DataFrame({"before": [1,2,3,4,6], "error": ["Water damage to 3 floor apartment building. \r"]*5, "after": [8,9,10,11,12]})
test_df[['before', 'error', 'after']].to_csv("test_error.csv", index=False)
read_test_df = pd.read_csv("test_erro... | {
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Maybe fixed #22682 | {
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Some arrays, like Arrow, know ahead of time whether there are any NAs in the array. Would it make sense to expose an API for an array... | {
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"followers_url": "https://api.github... | 5 | 2018-09-12T20:39:38Z | 2018-09-13T22:11:41Z | 2018-09-13T22:05:04Z | CONTRIBUTOR | null | Similarly to https://github.com/numpy/numpy/pull/11933,
> Following pytest migration there are unit tests that used to call unittest.TestCase.fail and now will produce a misleading error message on failure because the fail method no longer exists (test classes just inherit from object).
>
> This fixes this issue, b... | {
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```
E AssertionError: Caused unexpected warning(s): [('PendingDeprecationWarning', PendingDeprecationWarning("This method will be removed in future versions. Use 'tree.iter()' or 'list(tree.iter())' instead.",), '/home/travis/miniconda3/envs/pandas/l... | {
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I understand that those files are removed on propose ?
Shouldn't the tests skip the use of those files if they aren't present ? | {
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"followers_url": "https://api.github... | 5 | 2018-09-13T08:44:25Z | 2018-09-26T10:20:26Z | 2018-09-26T10:20:21Z | CONTRIBUTOR | null | - other than the listed strings for the `method` argument, accept a callable for generic correlation calculations
- ~~~minor fix of = to == in requirements file~~~
- [ ] closes #xxxx (no issue opened for PR)
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] wha... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22685 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22685/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22685/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22685/events | https://github.com/pandas-dev/pandas/issues/22685 | 359,809,635 | MDU6SXNzdWUzNTk4MDk2MzU= | 22,685 | DataFrame.agg() raises TypeError when passing list of functions and setting axis=1 | {
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```python
>>> df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], index=['row1', 'row2'], columns=['A', 'B', 'C'])
>>> df
A B C
row1 1 2 3
row2 4 5 6
>>> df.agg(['mean', 'sem'], axis=0)
A B C
mean 2.5 3.5 4.5
sem 1.5 1.5 1.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22686 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22686/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22686/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22686/events | https://github.com/pandas-dev/pandas/issues/22686 | 359,820,094 | MDU6SXNzdWUzNTk4MjAwOTQ= | 22,686 | Pandas vs Numpy broadcasting discrepancy | {
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"followers_url": "https://api.github... | 0 | 2018-09-13T09:42:47Z | 2018-10-07T22:38:27Z | 2018-10-07T22:38:27Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Not working in full pandas
pd.DataFrame(np.full((5,5), True)) & np.full((1,5), False)
#ValueError: Unable to coerce to DataFrame, shape must be (5, 5): given (1, 5)
# After extracting the numpy array it works as expected:
pd.DataFrame(np.full((... | {
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] | closed | false | null | [] | null | 8 | 2018-09-13T09:53:26Z | 2018-12-23T23:45:23Z | 2018-12-23T23:45:22Z | NONE | null | - [ ] closes #xxxx (no existing issue)
- [x] tests passed (no new test added - can add one if necessary)
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
DataFrame.from_records does not respect dictionary order on Python 3.6+. For example:
```
>>> df = pd.DataFrame.fro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22688 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22688/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22688/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22688/events | https://github.com/pandas-dev/pandas/issues/22688 | 359,855,344 | MDU6SXNzdWUzNTk4NTUzNDQ= | 22,688 | Meaning of BaseDtypeTests.test_array_type_with_arg | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-09-13T11:30:13Z | 2018-09-13T14:46:38Z | 2018-09-13T14:46:35Z | CONTRIBUTOR | null | https://github.com/pandas-dev/pandas/pull/22666 removed that test as (I think) it wasn't functioning properly. The method doesn't take any parameters, so running it would always raise a `TypeError`. Subclasses had to override it, which ends up just duplicating `test_array_type`.
cc @jreback, if you recall the motiva... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22689 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22689/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22689/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22689/events | https://github.com/pandas-dev/pandas/issues/22689 | 359,860,040 | MDU6SXNzdWUzNTk4NjAwNDA= | 22,689 | scripts/convert_deps.py doesn't handle exact pins correctly | {
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conda uses a single, while pip requirements files use double. | {
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"followers_url": "https://api.github... | 6 | 2018-09-13T13:29:46Z | 2018-09-19T15:42:25Z | 2018-09-19T15:42:25Z | CONTRIBUTOR | null | numba project added support for Azure CI pipelines: https://github.com/numba/numba/pull/3303
https://azure.microsoft.com/en-us/services/devops/pipelines/
looks like 10 parallel pipelines for open-source projects on mac, linux, windows OS.
we could replace appveyor with this I think.
cc @pandas-dev/pandas-co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22692 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22692/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22692/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22692/events | https://github.com/pandas-dev/pandas/issues/22692 | 359,902,855 | MDU6SXNzdWUzNTk5MDI4NTU= | 22,692 | `pandas.DataFrame.to_html()` without `table border` and `tr style` | {
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"description": "read_html, to_html, Styl... | open | false | null | [] | null | 7 | 2018-09-13T13:45:19Z | 2021-06-22T05:00:18Z | null | NONE | null | The following code produces HTML code for the corresponding table:
```python
import pandas as pd
import numpy as np
df = pd.DataFrame(data=np.arange(3 * 4).reshape(3, 4))
df.to_html(classes=None, border=None, justify=None)
```
Specifically, you get:
```html
<table border="1" class="dataframe">
<thea... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22693 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22693/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22693/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22693/events | https://github.com/pandas-dev/pandas/issues/22693 | 359,904,920 | MDU6SXNzdWUzNTk5MDQ5MjA= | 22,693 | read_fwf: skip_blank_lines does nothing | {
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... | 7 | 2018-09-13T13:50:10Z | 2021-06-22T05:01:45Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
from io import StringIO
import pandas as pd
f = StringIO('''A B
C D''')
df = pd.read_fwf(f, colspecs=[(0, 1), (2,3)], header=None, skip_blank_lines=True)
print(df)
```
#### Problem description
Output:
```
0 1
0 A B
1... | {
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"followers_url": "https://api.github... | 1 | 2018-09-13T16:48:39Z | 2018-09-15T15:07:52Z | 2018-09-15T11:55:18Z | MEMBER | null | In the course of profiling #22534 a bug was found, but that PR was made redundant and the bug fixed in master. This just adds a test for that bug. | {
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... | closed | false | null | [] | null | 3 | 2018-09-13T17:17:07Z | 2018-09-15T14:25:45Z | 2018-09-14T11:13:50Z | CONTRIBUTOR | null | - [ ] closes #22465
- [ ] 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/22696 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22696/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22696/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22696/events | https://github.com/pandas-dev/pandas/pull/22696 | 359,991,650 | MDExOlB1bGxSZXF1ZXN0MjE1MzU3MjY1 | 22,696 | BUG: fix DataFrame+DataFrame op with timedelta64 dtype | {
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This has the benefit of looking a lot like the SparseDataframe._combine_frame implementation. With luck we can de-duplicate those at some point.
Likely to be a perf hit for non-td64 dtypes. One option would be to use dispatch_to_series more selectively, but that gets complicated in a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22697 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22697/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22697/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22697/events | https://github.com/pandas-dev/pandas/pull/22697 | 359,998,280 | MDExOlB1bGxSZXF1ZXN0MjE1MzYyMzY2 | 22,697 | API/DEPR: 'periods' argument instead of 'n' for DatetimeIndex.shift() | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
In order to be consistent with `Index.shift` & `Series.shift`, `n` argument was deprecated in favor of `periods`.
```
In [2]: idx = pd.DatetimeIndex(start='2014-08-01 10:00... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22698 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22698/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22698/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22698/events | https://github.com/pandas-dev/pandas/issues/22698 | 360,024,745 | MDU6SXNzdWUzNjAwMjQ3NDU= | 22,698 | Handle FutureWarning from NumPy in Series Construction | {
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```python
In [2]: pd.Series(['0', '1'], dtype=float)
/Users/taugspurger/sandbox/numpy/numpy/core/numeric.py:2468: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
return bool(asarray(a1 == a2).all())
Out[2]:
0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22699 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22699/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22699/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22699/events | https://github.com/pandas-dev/pandas/pull/22699 | 360,045,463 | MDExOlB1bGxSZXF1ZXN0MjE1Mzk5NDE1 | 22,699 | TST: Fail on warning | {
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"followers_url": "https://api.github... | 17 | 2018-09-13T20:03:15Z | 2018-09-18T16:52:05Z | 2018-09-18T16:52:01Z | CONTRIBUTOR | null | Sets our pytest config to fail on unhandled warnings.
Fixes a bunch of tests to not fail.
This still has a few TODOs.
Closes https://github.com/pandas-dev/pandas/issues/16481
Closes https://github.com/pandas-dev/pandas/issues/19677
Closes https://github.com/pandas-dev/pandas/issues/13962
Closes https://gith... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22700 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22700/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22700/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22700/events | https://github.com/pandas-dev/pandas/pull/22700 | 360,048,058 | MDExOlB1bGxSZXF1ZXN0MjE1NDAxNTI2 | 22,700 | Remove --strict-data-files on pytest by default | {
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Explanation:
pytest gets the configuration from setup.cfg, witch forces the option "--strict-data-files" by default. This makes the test to fail on missing files that are not packaged (on pypi and in the github tarball).
Removing this line fixes the issue and the tests are skipped.
Adding missing... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22701 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22701/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22701/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22701/events | https://github.com/pandas-dev/pandas/pull/22701 | 360,048,881 | MDExOlB1bGxSZXF1ZXN0MjE1NDAyMTc4 | 22,701 | Remove --strict-data-files on pytest by default | {
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Explanation:
pytest gets the configuration from setup.cfg, witch forces the option "--strict-data-files" by default. This makes the test to fail on missing files that are not packaged (on pypi and in the github tarball).
Removing this line fixes the issue and the tests are skipped.
Cheers.
Elias... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22702 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22702/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22702/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22702/events | https://github.com/pandas-dev/pandas/issues/22702 | 360,063,108 | MDU6SXNzdWUzNjAwNjMxMDg= | 22,702 | ValueError in Categorical Constructor with empty data and boolean categories | {
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"followers_url": "https://api.github... | 4 | 2018-09-13T20:55:42Z | 2018-09-20T13:40:10Z | 2018-09-20T13:40:10Z | CONTRIBUTOR | null | This works,
```python
In [15]: pd.Categorical([], categories=['a', 'b'])
Out[15]: [], Categories (2, object): [a, b]
```
This doesn't
```pytb
In [16]: pd.Categorical([], categories=[True, False])
---------------------------------------------------------------------------
ValueError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22703 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22703/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22703/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22703/events | https://github.com/pandas-dev/pandas/pull/22703 | 360,097,127 | MDExOlB1bGxSZXF1ZXN0MjE1NDM5MzA4 | 22,703 | BUG: Fix dtype inconsistency when appending to empty DataFrame | {
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"de... | closed | false | null | [] | null | 5 | 2018-09-13T23:01:55Z | 2018-09-27T22:10:37Z | 2018-09-27T22:09:19Z | CONTRIBUTOR | null | - [ ] closes #22621
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
*edit*: currently rewriting the DataFrame.append function | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22704 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22704/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22704/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22704/events | https://github.com/pandas-dev/pandas/pull/22704 | 360,110,120 | MDExOlB1bGxSZXF1ZXN0MjE1NDQ4ODQ2 | 22,704 | Support writing CSV to GCS | {
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"description": "IO issue... | closed | false | null | [] | null | 8 | 2018-09-14T00:08:30Z | 2019-08-16T11:23:01Z | 2018-10-12T22:23:57Z | CONTRIBUTOR | null | - [x] fixes #23094
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This seems to work as-is and doesn't break any of the IO tests; as I mentioned in https://github.com/pandas-dev/pandas/issues/8508#issuecomment-421184687 getting S3 to work is a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22705 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22705/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22705/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22705/events | https://github.com/pandas-dev/pandas/issues/22705 | 360,126,349 | MDU6SXNzdWUzNjAxMjYzNDk= | 22,705 | DataFrame.from_dict(OrderedDict(items),...) not a proper replacement for from_items(items,...) | {
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"color": "d4c5... | closed | false | null | [] | null | 2 | 2018-09-14T01:45:19Z | 2020-06-28T03:28:53Z | 2020-06-28T03:28:53Z | NONE | null | #### Code Sample
```python
import pandas
from collections import OrderedDict
def test_from_dict_replacing_from_items_with_duplicates():
rows = [(1, (2,)), (1, (2,))]
df1 = pandas.DataFrame.from_items(rows, columns=('a', ), orient='index')
df2 = pandas.DataFrame.from_dict(OrderedDict(rows), columns=('... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22706 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22706/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22706/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22706/events | https://github.com/pandas-dev/pandas/issues/22706 | 360,145,961 | MDU6SXNzdWUzNjAxNDU5NjE= | 22,706 | json_normalize raises TypeError exception | {
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"description": "read_json, to_json, json... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 8 | 2018-09-14T03:42:46Z | 2018-12-13T20:25:51Z | 2018-12-13T20:25:51Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
from pandas.io.json import json_normalize
d = {
'name': 'alan smith',
'info': {
'phones': [{
'area': 111,
'number': 2222
}, {
'area': 333,
'number': 4444
}]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22707 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22707/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22707/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22707/events | https://github.com/pandas-dev/pandas/issues/22707 | 360,193,360 | MDU6SXNzdWUzNjAxOTMzNjA= | 22,707 | to_clipboard has no effect in ipython (works in python) (linux) | {
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"followers_url": "https://api.github.com/users/jorisva... | 11 | 2018-09-14T07:46:54Z | 2021-05-03T21:36:53Z | 2019-12-30T18:56:23Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas as pd
a=pd.DataFrame([0,1,23])
a.to_clipboard()
```
#### Problem description
Hi
since several months I am no longer able to use the to_clipboard function in ipython - nothing pasted to clipboard. I notice it wor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22708 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22708/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22708/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22708/events | https://github.com/pandas-dev/pandas/issues/22708 | 360,235,894 | MDU6SXNzdWUzNjAyMzU4OTQ= | 22,708 | from_records should order dict columns similar to constructor and from_dict like pandas < 0.23 | {
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"description": "Series/D... | open | false | null | [] | null | 3 | 2018-09-14T09:52:45Z | 2021-06-22T05:05:14Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
print("Pandas version : ", pd.__version__)
def print_dict(fn):
print(fn.__name__)
print(fn(dict(C=[3], B=[2], A=[1])))
with pd.option_context('display.max_rows', 10, 'display.max_columns', 5):
print_dict(pd.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22709 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22709/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22709/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22709/events | https://github.com/pandas-dev/pandas/issues/22709 | 360,273,689 | MDU6SXNzdWUzNjAyNzM2ODk= | 22,709 | API: reconsider or warn on the non-sorting of DataFrame(dict) on Python >= 3.6 ? | {
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"followers_url": "https://api.github.com/users/jorisva... | 16 | 2018-09-14T11:52:35Z | 2019-06-30T19:38:45Z | 2019-06-30T19:38:37Z | MEMBER | null | I recently had a colleague that ran into a nasty bug, due to the fact that on Python >= 3.6 we no longer sort the columns when creating a DataFrame from a dict.
Eg on Python 3.5:
```
In [1]: df = pd.DataFrame({'B': [1, 2], 'A': [3, 4]})
In [2]: df
Out[2]:
A B
0 3 1
1 4 2
```
On Python 3.6/3.7... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22710 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22710/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22710/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22710/events | https://github.com/pandas-dev/pandas/pull/22710 | 360,317,947 | MDExOlB1bGxSZXF1ZXN0MjE1NjA0NjQ1 | 22,710 | BUG: Empty CategoricalIndex fails with boolean categories | {
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"followers_url": "https://api.github... | 9 | 2018-09-14T14:02:41Z | 2018-09-20T13:40:13Z | 2018-09-20T13:40:11Z | CONTRIBUTOR | null | Fixes #22702.
This bug was introduced in [7818486859d1aba53](https://github.com/pandas-dev/pandas/commit/7818486859d1aba53ce359b93cfc772e688958e5); per [my comment](https://github.com/pandas-dev/pandas/issues/22702#issuecomment-421364087), the problem is here:
```python
if not is_dtype_equal(values.dtype, ca... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22711 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22711/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22711/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22711/events | https://github.com/pandas-dev/pandas/issues/22711 | 360,362,892 | MDU6SXNzdWUzNjAzNjI4OTI= | 22,711 | pd.Timestamp.today() / pd.to_datetime('today') returns date with time information | {
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] | closed | false | null | [] | null | 6 | 2018-09-14T15:58:15Z | 2018-09-17T18:10:16Z | 2018-09-14T16:54:33Z | NONE | null | Calling **pd.Timestamp.today()** or **pd.to_datetime('today')** returns both the date and time information. This is unexpected behavior since the time information should be returned with **.now()** or **'now'**, respectively, while the **.today()** and **'today'** should trim to simply the date information.
Example ... | {
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