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https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=20521
https://github.com/pandas-dev/pandas/runs/295247988
```
______________ test_chunks_have_consistent_numerical_type[python] ______________
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- Towards https://github.com/pandas-dev/pandas/issues/29547
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https://api.github.com/repos/pandas-dev/pandas/issues/29524 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29524/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29524/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29524/events | https://github.com/pandas-dev/pandas/pull/29524 | 520,564,219 | MDExOlB1bGxSZXF1ZXN0MzM5MTI0Mzg0 | 29,524 | ENH: Support for column specific col_space argument for frame.to_html… | {
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- [ ] closes #28917
- [ ] tests added / passed
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- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] what's new: the col_space argument of to_html() can also take a dict or list to specify different col_space for different columns.
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Somewhat relevant: #15832, #18400
#### Code Sample, a copy-pastable example if possible
```pyth... | {
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```python
import pandas as pd
pd.read_html('http://vybary2019.by/regions/49.html',header=0)[0]
```
#### Problem description
In original web page the first cell of table contains three separate words.
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- [x] enables #29420
- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/29531 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29531/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29531/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29531/events | https://github.com/pandas-dev/pandas/pull/29531 | 520,619,890 | MDExOlB1bGxSZXF1ZXN0MzM5MTYzOTA4 | 29,531 | TST: add tests for Series/DF logical operations nan propagation | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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This code works.
```python
import pandas as pd
import pandas.util.testing as tm
from io import BytesIO
df = pd.DataFrame({"a": [1, 2, 3], "b": list("abc")})
buf = BytesIO()
df.to_feather(fname=buf)
result = pd.read_feather(path=buf)
tm.assert_fr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29533 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29533/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29533/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29533/events | https://github.com/pandas-dev/pandas/pull/29533 | 520,624,818 | MDExOlB1bGxSZXF1ZXN0MzM5MTY3NDU4 | 29,533 | TST: add test for .loc indexing Index type preservation | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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to_boolean was doing a lot of extra work to have a case insensitive comparison. This PR removes that code (and heap memory management) while using a cross-platform "strcasecmp" function as defined in `portable.h` already
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https://api.github.com/repos/pandas-dev/pandas/issues/29535 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29535/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29535/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29535/events | https://github.com/pandas-dev/pandas/pull/29535 | 520,651,097 | MDExOlB1bGxSZXF1ZXN0MzM5MTg2MTk1 | 29,535 | TST: add test for df comparing strings to numbers raises ValueError | {
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- [x] tests added / passed
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cc @jreback orthonal to other groupby PRs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29539 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29539/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29539/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29539/events | https://github.com/pandas-dev/pandas/issues/29539 | 520,772,723 | MDU6SXNzdWU1MjA3NzI3MjM= | 29,539 | Numeric Index constructors should validate `dtype` parameter | {
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"color": "ffa... | closed | false | null | [] | {
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```python
In [1]: import pandas as pd; pd.__version__
Out[1]: '0.26.0.dev0+842.g78c3c1640'
In [2]: pd.Int64Index([1, 2, 3], dtype="float64")
Out[2... | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-11-11T07:37:25Z | 2019-11-13T00:08:05Z | 2019-11-11T13:55:06Z | CONTRIBUTOR | null | Fixed SS03 errors in the docstrings for `pandas.tseries.frequencies.to_offset`; `pandas.Int64Index`; `pandas.UInt64Index`; `pandas.Float64Index`; `pandas.IntervalIndex`; `pandas.plotting.plot_params`; `pandas.io.formats.style.Styler.loader`.
- [x] xref #29315
- [ ] tests added / passed
- [x] passes `black pandas`
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https://api.github.com/repos/pandas-dev/pandas/issues/29541 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29541/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29541/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29541/events | https://github.com/pandas-dev/pandas/issues/29541 | 520,918,297 | MDU6SXNzdWU1MjA5MTgyOTc= | 29,541 | pd.Dataframe.from_dict does not create MultiIndex from tuple keys | {
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"id": 71268330,... | open | false | null | [] | null | 0 | 2019-11-11T12:01:57Z | 2020-06-28T04:04:47Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
I've got two samples. The first one is *successful*, ie it creates a MultiIndex as expected. The
second one I would expect to work, but it doesn't.
##### Working example
```python
d = {('first', 'second'): {'count': 1}}
pd.DataFrame.from_dict(d, orient='ind... | {
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```python
import numpy as np
import pandas as pd
size = 1000*1000
idx = pd.Series([0,1,2,3]).sample(size, replace=True)
df = pd.DataFrame({'idx': idx, 'prog': np.arange(size)}).set_index(['idx', 'prog'])
# df = pd.DataFrame({'idx': idx, 'prog': np.arange(si... | {
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- [x] tests passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` | {
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- [x] closes #29539
- [x] tests added / passed
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#### Notes:
* Don't forget to link this issue in your pull request's body message , simply paste this ```https://github.com/pandas-dev/pandas/issues/29547``` in your pu... | {
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- [x] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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xref closed PRs https://github.com/pandas-dev/pandas/pull/22226 and https://github.com/pandas-dev/pandas/pull/25415, and xref the discussions on missing values in https://github.com/pandas-dev/pandas/issues/28095 and https://github.com/pandas-dev/pandas/issues/... | {
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* [x] Implement `pd.NA` scalar -> https://github.com/pandas-dev/pandas/pull/29597
* [x] Basic BooleanArray -> https://github.com/pandas-dev/pandas/pull/29555
* [x] Use `pd.NA` in BooleanArray -> https://github.com/pandas-dev/pandas/pull/29961
* [x] Implement kleene-logic in logical op... | {
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Definitely some overlap with the existing JS... | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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] | open | false | null | [] | null | 1 | 2019-11-12T05:06:30Z | 2021-07-23T04:24:08Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pandas.DataFrame(columns=['a']).combine_first(pandas.DataFrame(columns=['b']))
df.columns
> Index(['a'], dtype='object')
```
#### Problem description
The current behaviour is a problem in that the resulting dataframe's columns are not a com... | {
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```python
# Your code here
import pandas as pd
df = pd.DataFrame({"x": [0, 0, 0],
"y": [4, 5, 6]})
df = df.astype(pd.SparseDtype("float", fill_value=0))
df.iloc[[1]]
```
#### Problem description
Executing the above code results i... | {
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```python
import pandas as pd
s = pd.Series([1, 2, 3], name="x")
df = pd.concat([s, s**2], axis=1)
df = df.astype(pd.SparseDtype("float", fill_value=0))
df.sparse.to_coo()
```
#### Problem description
The above code throws `IndexError: 0`.
This is ... | {
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```python
# if locale.getpreferredencoding() != 'UTF-8'
import pandas as pd
with open('test.json', 'w', encoding='utf-8') as f:
f.write('{"A": ["АБВГДабвгд가"]}')
dt2 = pd.read_json('test.json')
print(dt2)
```
```python
# if locale.getpreferreden... | {
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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
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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
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"... | open | false | null | [] | null | 2 | 2019-11-12T09:04:37Z | 2021-10-29T02:09:23Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
col_names = ['ev1', 'ev2']
cols = pd.MultiIndex.from_product([['a', 'b'], ['c', 'd']], names=col_names)
df = pd.DataFrame([[1, 2, 3, 4], [1, 2, 3, 4], [1, 2, 3, 4], [1, 2, 3, 4]],
columns=cols)
# is not work
df.rename(columns={... | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2019-11-12T09:57:41Z | 2019-11-12T14:02:43Z | 2019-11-12T14:02:18Z | MEMBER | null | Consider concatting two dataframes with both a column with an extension dtype, but with a different one (here string and nullable int):
```
In [9]: df1 = pd.DataFrame({'A': ['a', 'b']}).astype("string")
In [10]: df2 = pd.DataFrame({'A': [1, 2]}).astype('Int64')
In [11]: pd.concat([df1, df2])
...
~/... | {
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```
# import libraries
import pandas as pd
import io
# show version
print(pd.__version__)
# 0.25.2
# create example dataframe
df = pd.DataFrame({"A": [1, 2, 3, 4], "B": [5, 6, 7, 8]})
# create io-stream to act as surrogate file
stream = io.BytesIO()
# since the compression cannot be... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Doesn't quite close it, in case someone has time to implement a deprecation. But that doesn't seem likely for 1.0 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29575 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29575/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29575/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29575/events | https://github.com/pandas-dev/pandas/issues/29575 | 521,738,994 | MDU6SXNzdWU1MjE3Mzg5OTQ= | 29,575 | Support of command line tools in IO | {
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```python
R's data.table::fread() supports command line tools, which provides a lot of flexibility.
Example below taken from [stackoverflow](https://stackoverflow.com/questions/35763574/fastest-way-to-read-in-100-000-dat-gz-files/35786076#35786076):
fread... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29576 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29576/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29576/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29576/events | https://github.com/pandas-dev/pandas/issues/29576 | 521,751,237 | MDU6SXNzdWU1MjE3NTEyMzc= | 29,576 | startingMonth ignored on non-unitary Quarter periods | {
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"id": ... | open | false | null | [] | null | 0 | 2019-11-12T19:20:43Z | 2021-07-23T04:26:10Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
import numpy as np
d = pd.Series(data=np.zeros(365),
index=pd.date_range('1950-01-01', '1950-12-31', freq='D'))
d.resample('2QS-MAR').mean()
```
returns:
```
1949-12-01 0.0
1950-06-01 0.0
1950-12-01 0.0
Freq: 2QS-MAR, dtype... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29577 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29577/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29577/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29577/events | https://github.com/pandas-dev/pandas/pull/29577 | 521,791,161 | MDExOlB1bGxSZXF1ZXN0MzQwMTAyOTc2 | 29,577 | DOC: remove okwarnings for io | {
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```python
In [1]: import pandas as pd; pd.__version__
Out[1]: '0.26.0.dev0+857.g2ade669c7'
In [2]: dti = pd.DatetimeIndex(["2019-01-01", pd.NaT])
In [3]: dti.strftime("%Y-%m-%d")
Out[3]: Index(['2019-01-01', 'NaT'], dtype='object')
```
This behavior ca... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29579 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29579/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29579/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29579/events | https://github.com/pandas-dev/pandas/pull/29579 | 521,805,807 | MDExOlB1bGxSZXF1ZXN0MzQwMTE1MjUx | 29,579 | CLN: F-string formatting in pandas/tests/indexes/*.py (#29547) | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry | {
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I found in #29561 that getting `_data` annotated is necessary before we can annotate most of `core.indexes`.
I'm also not sure what to do about MultiIndex, suggestions welcome. | {
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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
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... | 3 | 2019-11-13T04:30:52Z | 2020-03-19T19:05:55Z | 2020-03-19T19:05:49Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
In [2]: foo = pd.DataFrame({'a': [1]}).astype('Int64'... | {
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```python
pd.to_datetime([1.5,2.5], unit='D', origin=pd.Timestamp("2015-12-31 12:00:00"))
```
#### Problem description
I set the origin to hour format ,but the result is not correct.:
DatetimeIndex(['2016-01-01 12:00:00', '2016-01-02 12:00:00'], dtype=... | {
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As of today, we don't call `agg_series` unless `ngroups > 0`, which has the side-benefit that we don't call unless `len(self.bins) > 0`, which means we no longer risk hitting an `IndexError` in libreduction L262.
No longer needing to catch AttributeError is [mumble mumble...] I'll figure out... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29592 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29592/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29592/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29592/events | https://github.com/pandas-dev/pandas/pull/29592 | 522,130,367 | MDExOlB1bGxSZXF1ZXN0MzQwMzgyNjQx | 29,592 | CLN: Removing commented code at pandas/_libs/parsers.pyx | {
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- [x] tests passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29593 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29593/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29593/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29593/events | https://github.com/pandas-dev/pandas/pull/29593 | 522,161,384 | MDExOlB1bGxSZXF1ZXN0MzQwNDA5Mzc0 | 29,593 | CLN: f-string at pandas/_libs/tslib.pyx | {
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- [x] tests passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
ref to issue #29547 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29594 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29594/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29594/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29594/events | https://github.com/pandas-dev/pandas/issues/29594 | 522,173,200 | MDU6SXNzdWU1MjIxNzMyMDA= | 29,594 | Creating new DataFrame from dict automatically orders columns | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2019-11-13T12:08:26Z | 2019-11-13T12:40:35Z | 2019-11-13T12:40:30Z | NONE | null | #### Code Sample, a copy-pastable example if possible
data = {'C':[1], 'B':[2],'A':[3]}
df = pd.DataFrame(data)
Out[4]:
A B C
0 3 2 1
```
#### Problem description
Creating a new DataFrame from a dict, I would expect pd.DataFrame() to respect the order in which the columns are put in. It does not.
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29595 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29595/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29595/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29595/events | https://github.com/pandas-dev/pandas/pull/29595 | 522,211,185 | MDExOlB1bGxSZXF1ZXN0MzQwNDUyNTI2 | 29,595 | fixed issue of empty dataframe combine_first | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry - fixed issue of combining two empty dataframe.
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https://api.github.com/repos/pandas-dev/pandas/issues/29596 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29596/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29596/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29596/events | https://github.com/pandas-dev/pandas/issues/29596 | 522,212,031 | MDU6SXNzdWU1MjIyMTIwMzE= | 29,596 | Lambda: Unable to allocate array with shape (133271, 319) and data type object: MemoryError | {
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```python
# Your code here
obj=s3.get_object(Bucket=bucket,Key=file_name)
body = obj['Body'].read()
df = pd.read_excel(io.BytesIO(body),encoding='utf-8',sheet_name='Sheet1',skiprows=4,usecols=use_cols,header=None,names=col_Names,)
```
#### Problem descrip... | {
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This PR adds a `pd.NA` singleton with the behaviour as discussed in above issues. For now, it's only used in StringArray in this PR. | {
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... | closed | false | null | [] | null | 5 | 2019-11-13T14:30:26Z | 2019-12-24T17:30:40Z | 2019-12-24T17:30:40Z | NONE | null | BigQuery support 3 different types of load methods:
WRITE_EMPTY, WRITE_TRUNCATE, WRITE_APPEND
https://cloud.google.com/bigquery/docs/reference/auditlogs/rest/Shared.Types/WriteDisposition
this parameter needs to be controlled by loading job.
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```python
import pandas as pd
import numpy as np
print(pd.array([23842938553820651, np.nan], dtype=pd.Int64Dtype())) # from the docs
print()
print(pd.array([23842938553820651, pd.NaT], dtype=pd.Int64Dtype()))
```
#### Problem description
Examples in the documentation of Nullable integers... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29601 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29601/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29601/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29601/events | https://github.com/pandas-dev/pandas/pull/29601 | 522,333,484 | MDExOlB1bGxSZXF1ZXN0MzQwNTUzNDk3 | 29,601 | Update FUNDING.yml | {
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This feature is launching today at GitHub Universe!
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https://api.github.com/repos/pandas-dev/pandas/issues/29602 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29602/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29602/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29602/events | https://github.com/pandas-dev/pandas/issues/29602 | 522,485,244 | MDU6SXNzdWU1MjI0ODUyNDQ= | 29,602 | Series.rmod called with scalar returns inconsistent results based on size of series | {
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... | 5 | 2019-11-13T21:33:00Z | 2021-07-23T04:28:12Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
In
```
s1 = pd.Series([2] * 10001, name='long_series').rmod(-1)
s2 = pd.Series([2] * 10000, name='short_series').rmod(-1)
print(s1.loc[0:9].to_frame().join(s2.loc[0:9]))
```
Out
```
long_series short_series
0 -1 1
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https://github.com/pandas-dev/pandas/pull/29513
and
https://github.com/pandas-dev/pandas/pull/25427
(needed for network tests)
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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The kwargs are actually ony used by ``DateTimeIndex.difference`` and ``TimeDeltaIndex.difference``. | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Currently `black` does not detect this for us since we just bumped to py36, so detection... | {
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Suggestions for better error messages welcome.
Not passing `_level` around is pretty nice | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29609 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29609/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29609/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29609/events | https://github.com/pandas-dev/pandas/pull/29609 | 522,610,134 | MDExOlB1bGxSZXF1ZXN0MzQwNzc2NDEw | 29,609 | REF: de-nest _get_cython_function | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29610 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29610/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29610/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29610/events | https://github.com/pandas-dev/pandas/pull/29610 | 522,610,989 | MDExOlB1bGxSZXF1ZXN0MzQwNzc3MDQ4 | 29,610 | CLN: reachable cases in Reducer | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-11-14T04:04:39Z | 2019-11-14T16:38:56Z | 2019-11-14T16:30:18Z | MEMBER | null | compute_reduction has optional `labels` and `dummy` arguments. In practice, either both are passed or neither is passed. By enforcing this, we can simplify the code a bit. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29611 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29611/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29611/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29611/events | https://github.com/pandas-dev/pandas/pull/29611 | 522,612,583 | MDExOlB1bGxSZXF1ZXN0MzQwNzc4MTc1 | 29,611 | REF: eliminate eval_kwargs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29612 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29612/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29612/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29612/events | https://github.com/pandas-dev/pandas/issues/29612 | 522,628,416 | MDU6SXNzdWU1MjI2Mjg0MTY= | 29,612 | Line plot is not displaying correctly using pandas | {
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] | closed | false | null | [] | null | 2 | 2019-11-14T05:10:00Z | 2020-05-22T15:16:11Z | 2020-05-22T15:16:11Z | NONE | null | I have installed latest pandas version
Now I am trying to plot a bar plot by using pandas but it is giving me this Figure
.png)
I am learning pandas from Udemy and when trainer was plotti... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29613 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29613/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29613/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29613/events | https://github.com/pandas-dev/pandas/pull/29613 | 522,630,977 | MDExOlB1bGxSZXF1ZXN0MzQwNzkzMDI0 | 29,613 | Fixed tokenizer build warnings | {
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```sh
pandas/_libs/parsers.c:5873:52: warning: incompatible pointer types assigning to 'double (*)(const char *, char **, char, char, char, int)' from 'double (const char *,
char **, char, char, char, int, int *, int *)' [-Wincompatible-pointer-types]
__pyx_v_self->parser->... | {
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