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https://api.github.com/repos/pandas-dev/pandas/issues/26113 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26113/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26113/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26113/events | https://github.com/pandas-dev/pandas/pull/26113 | 434,022,085 | MDExOlB1bGxSZXF1ZXN0MjcxMTAzODUx | 26,113 | BUG: Preserve index order when constructing DataFrame from dict | {
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- [x] tests added / passed
(no new tests added)
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This resolves the issue of `pd.DataFrame(dict)` or `pd.DataFrame.from_dict(dict)` not preserving the order of the index specified in `dict`.
This re... | {
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- [x] tests added / passed
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Now that Python2 is being removed, ``.iteritems`` should be deprecated, and ``.items`` should be used instead.
EDIT: This PR ended up not deprecating .iteritems, but only chang... | {
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- [x] tests added / passed
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From this module used in dataframes' comparison [here](https://github.com/pandas-dev/pandas/blob/master/pandas/util/testing.py#L829).
#### Problem description
First of all, great job, I am excited to be using Pandas and thanks for everything! :)
While as... | {
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import pandas as pd
from datetime import datetime
import pytz
dt_from = datetime(2019, 3, 30, 0, tzinfo=pytz.utc)
dt_to = datetime(2019, 3, 30, 4, tzinfo=pytz.utc)
idx = pd.date_range(dt_from, dt_to, freq='H')
df = pd.DataFrame(data={
'a': {i: v for i, v in zip(idx, range(idx.size))},
'b... | {
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```python
# Creating pandas>Series with timedeltas as index - 1 microsecond step:
import numpy as np
import pandas as pd
time = np.arange(0,1, 1e-6)
time_index = pd.to_timedelta(time, unit='s')
values = np.ones(len(time_index))
sig = pd.Series(data=values,... | {
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```python
>>> import pandas as pd
>>> df = pd.DataFrame({'A': ["this is a list".split(), "so is this one".split()]})
>>> df.to_parquet('tmp.parquet', 'pyarrow')
>>> df2 = pd.read... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26122 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26122/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26122/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26122/events | https://github.com/pandas-dev/pandas/issues/26122 | 434,395,995 | MDU6SXNzdWU0MzQzOTU5OTU= | 26,122 | Unexpected 'to_datetime' behaviour for datetime strings with different offset in 'arg', when errors='coerce' | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-04-17T17:16:50Z | 2019-05-07T01:59:20Z | 2019-05-07T01:59:20Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
arr = ['March 1, 2018 12:00:00+0400', 'March 1, 2018 12:00:00+0500', '20100240']
result = pd.to_datetime(arr, errors='coerce')
```
`>>> result`:
`Index(['March 1, 2018 12:00:00+0400', 'March 1, 2018 12:00:00+0500', '20100240'],... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26123 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26123/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26123/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26123/events | https://github.com/pandas-dev/pandas/issues/26123 | 434,421,582 | MDU6SXNzdWU0MzQ0MjE1ODI= | 26,123 | Reindexing a sparse data structure with a different index results in losing the dtype | {
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"description": "Functionality that used ... | open | false | null | [] | {
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... | 2 | 2019-04-17T18:21:20Z | 2020-04-25T20:44:16Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
for dtype in (np.float32, np.int32, np.bool):
s = pd.SparseSeries([1, 0], dtype=dtype)
print('original:', s.dtype)
print('reindexed:', s.reindex([0, 1, 2]).dtype)
```
**Output**
```
origin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26124 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26124/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26124/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26124/events | https://github.com/pandas-dev/pandas/issues/26124 | 434,425,210 | MDU6SXNzdWU0MzQ0MjUyMTA= | 26,124 | to_csv to Google Cloud Storage ignores encoding | {
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"default": false,
"description": "pandas-gbq compatability... | closed | false | null | [] | {
"closed_at": "2020-12-26T13:57:50Z",
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"created_at": "2020-05-29T23:47:32Z",
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```python
df.to_csv(path_or_buf='gs://mybucket/my_file', encoding='utf8')
```
#### Problem description
Instead of expected UTF-8 file is stored in latin-1 on Windows. I can also see that current implementation of method ```pandas.io.gcs.get_filepa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26125 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26125/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26125/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26125/events | https://github.com/pandas-dev/pandas/issues/26125 | 434,440,913 | MDU6SXNzdWU0MzQ0NDA5MTM= | 26,125 | BUG: np.min(pd.Index) and np.max(pd.Index) raise a TypeError | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-04-17T19:09:01Z | 2019-05-09T12:36:35Z | 2019-05-09T12:36:35Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import numpy as np; import pandas as pd
In [2]: np.__version__, pd.__version__
Out[2]: ('1.16.2', '0.25.0.dev0+421.g8b60ebb359')
In [3]: idx = pd.Index([10, 20, 11]); idx
Out[3]: Int64Index([10, 20, 11], dtype='int64')
In [4]: np.min... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26126 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26126/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26126/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26126/events | https://github.com/pandas-dev/pandas/issues/26126 | 434,513,138 | MDU6SXNzdWU0MzQ1MTMxMzg= | 26,126 | to_html(index = False) not dropping df.columns.name in the html output | {
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] | closed | false | null | [] | null | 1 | 2019-04-17T22:30:02Z | 2019-04-18T04:31:35Z | 2019-04-18T04:31:35Z | NONE | null | ```
df = pd.DataFrame({'A': [1,2],
'B': [3,4]})
df.columns.name = 'Test'
df.to_html(index = False)
#Output
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>Test</th>
<th>A</th>
<th>B</th>
</tr>
</thead>
<tbody>
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https://api.github.com/repos/pandas-dev/pandas/issues/26127 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26127/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26127/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26127/events | https://github.com/pandas-dev/pandas/issues/26127 | 434,527,339 | MDU6SXNzdWU0MzQ1MjczMzk= | 26,127 | Inspection of some cython produced functions causes segfault | {
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"color": "d93f0b... | closed | false | null | [] | null | 10 | 2019-04-17T23:27:05Z | 2019-11-21T20:55:56Z | 2019-11-21T20:55:56Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
from pandas._libs.algos import backfill
getattr(backfill, "__kwdefaults__", None)
```
Run with `-X faulthandler` to get more info.
#### Problem description
Trying to access `__kwdefaults__`, either by `getattr` or `hasattr`, segfaults the Py... | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-04-17T23:48:09Z | 2019-04-19T17:13:24Z | 2019-04-18T21:52:15Z | CONTRIBUTOR | null | - [x] xref #25725
Bit of a tedious whopper to review (sorry), but this PR removes all instances of inheriting from the base ``object`` from the code base, as dropping Python2 support means that this particular idiom is no longer needed.
Additionally, as part of the above, I've removed the check in code_checks.sh... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-04-18T00:25:15Z | 2019-04-19T17:13:36Z | 2019-04-18T03:48:23Z | CONTRIBUTOR | null | As part of #26128, I saw that in three test methods, their first parameter has been named ``object`` rather than ``self``. This rectifies that. | {
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"descript... | closed | false | null | [] | null | 6 | 2019-04-18T00:55:46Z | 2019-04-19T10:56:43Z | 2019-04-18T18:16:48Z | NONE | null | When implementing a index accessor, does it overwrite the default ‘index’ property, or is there a way to create a custom index class to pass into index? How could I make it iloc or loc compatible?
Additionally, the register_index_accessor, besides the init, what else is needed to properly work?
My goal is to u... | {
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**[IN]**
```python
import pandas as pd
now = pd.Timestamp.utcnow()
help(now.isoformat)
```
**[OUT]**
Help on method isoformat in module pandas._libs.tslibs.timestamps:
isoformat(sep='T') method of pandas._libs.tslibs.timestamps.Timestamp instance
[sep] -> string in ISO 8... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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closes #6245
This PR allows to save wide dataframes to hdf. It will break forward compatibility, old versions of pandas will not be able to read hdfs from new versions.
The column is saved to a vlarray with object atomic. This is rather slow for very wide dfs but does not require any type checks.
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This currently includes the changes from https://github.com/pandas-dev/pandas/pull/25682, which I think is mergeable.
I think this would be good to have for 0.25.0. I think it's close, but I may not have time to push this across the finish line. Anyone inte... | {
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```
complevel : int, 0-9, default None
Specifies a compression level for data.
A value of 0 disables compression.
```
That doesn't actually answer the question of what compression level is used when the default (None) is used, though. Is N... | {
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This ups the cython minimum version to fix bugs as seen in #26127. I've added a test which goes through the members of `_libs` to check that they don't segfault when accessed. I... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26141 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26141/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26141/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26141/events | https://github.com/pandas-dev/pandas/pull/26141 | 435,005,399 | MDExOlB1bGxSZXF1ZXN0MjcxODcyODU1 | 26,141 | Added example to docstring | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26142 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26142/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26142/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26142/events | https://github.com/pandas-dev/pandas/issues/26142 | 435,021,214 | MDU6SXNzdWU0MzUwMjEyMTQ= | 26,142 | dev-requirements missing 'gitpython' | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26143 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26143/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26143/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26143/events | https://github.com/pandas-dev/pandas/pull/26143 | 435,021,255 | MDExOlB1bGxSZXF1ZXN0MjcxODg0NjQ5 | 26,143 | Add gitpython to requirements | {
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- [X] tests added / passed
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```python
import pandas as pd
# init dataframe with newly supported IntegerArray for missing values
d = {'col1': [1, 2, None]}
df = pd.DataFrame(data=d, dtype=pd.Int32Dtype())
df.dtypes
# Error: ValueError: cannot convert float NaN to integer
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# DataFrame.to_excel
# Output Excel File
![3](https://user-images.githubusercontent... | {
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Current errors are:
pandas\core\accessor.py:14: error: Need type annotation for '_accessors'
PR coming soon | {
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- [x] tests passed
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https://api.github.com/repos/pandas-dev/pandas/issues/26148 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26148/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26148/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26148/events | https://github.com/pandas-dev/pandas/issues/26148 | 435,095,450 | MDU6SXNzdWU0MzUwOTU0NTA= | 26,148 | Fix Type Annotation in pandas/core/api.py | {
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Current errors are:
pandas\core\api.py:5: error: Module 'pandas.core.arrays.integer' has no attribute 'Int8Dtype'
pandas\core\api.py:5: error: Module 'pandas.core.arrays.integer' has no attribute 'Int16Dtype'
pandas\core\api.py:5: error: Module 'pandas.core.arrays.integer' has no att... | {
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Parameters like project, token should be taken and added if provided in case of GCP buckets.
```
def get_filepath_or_buffer(filepath_or_buffer, encoding=None,
compression=None, mode=None, project=None, token=None):
if mode i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26150 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26150/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26150/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26150/events | https://github.com/pandas-dev/pandas/issues/26150 | 435,167,375 | MDU6SXNzdWU0MzUxNjczNzU= | 26,150 | Weird performance characteristics of resampled quantile() function (100 times slower) | {
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```python
import pandas as pd
import numpy as np
from time import time
print("Pandas version:", pd.__version__)
print("Numpy version:", np.__version__)
index = pd.date_range("2016-01-01", periods=int(1e7), freq="ms")
df = pd.DataFrame(np.random.rand(le... | {
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```python
df = pd.read_csv(DBPath, index=False)
db_table = df.head(891).to_html(escape=False)
fig, ax = plt.subplots()
df.groupby('Pclass')['Survived'].aggregate(lambda x: x.sum() / len(x)).plot(kind='bar')
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https://api.github.com/repos/pandas-dev/pandas/issues/26152 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26152/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26152/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26152/events | https://github.com/pandas-dev/pandas/pull/26152 | 435,239,483 | MDExOlB1bGxSZXF1ZXN0MjcyMDQyNTIy | 26,152 | Fix Bug with NA value in Grouping for Groupby.nth | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Would ideally like to combine first, nth and last implementations. Consider this a precursor
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```python
import pandas as pd
pd.Series([True, False]).nlargest(1)
```
> 1 False
> dtype: bool
#### Problem description
If you cast this to any other type, you will have the opposite and expected order.
More generally in python `True > False`. Yo... | {
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- [x] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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```python
import pandas as pd
df = pd.read_json('{"Month":{"0":"2018-01-01","1":"2018-02-01","2":"2018-03-01","3":"2018-04-01","4":"2018-05-01","5":"2018-01-01","6":"2018-02-01","7":"2018-03-01","8":"2018-04-01","9":"2018-05-01","10":"2018-01-01","11":"2018-0... | {
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- [x] closes #26154
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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- [x] closes #26139
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- [x] tests added / passed
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Removes the metaclass ``_WritableDoc`` from the code base. | {
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This removes the ``compat.add_metaclass`` function from the code base and replaces it with a metaclass parameter in class instation.
I don't understand why ``ExcelWriter`` needs to use a abc.ABCMeta metaclass, as the class is being used directly in the code base and I thought abstract classes c... | {
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- [x] xref #26165
While doing #26165 I discovered some uses of ``abc.abstractproperty`` in the codebase. This propery was deprecated in Python 3.3 and superseeded by using ``abc.abstractmethod`` and ``property`` together instead (see [python abc.abstractproperty docs](https://docs.python.org/3.7/... | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/26170 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26170/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26170/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26170/events | https://github.com/pandas-dev/pandas/pull/26170 | 435,476,888 | MDExOlB1bGxSZXF1ZXN0MjcyMTk0ODk4 | 26,170 | BUG: read_json converted date strings with Z to UTC | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26171 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26171/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26171/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26171/events | https://github.com/pandas-dev/pandas/issues/26171 | 435,482,633 | MDU6SXNzdWU0MzU0ODI2MzM= | 26,171 | TypeError: __init__() got an unexpected keyword argument 'max_rows' | {
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```python
import pandas as pd
import pystan
from fbprophet import Prophet
plt.style.use('fivethirtyeight')
y = [t1_tmax['date'], t1_tmax['value']]
import pandas as pd
df = pd.DataFrame({'date': y[0], 'value': y[1]})
df.dtypes
df = df.rename(columns... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26172 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26172/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26172/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26172/events | https://github.com/pandas-dev/pandas/pull/26172 | 435,486,324 | MDExOlB1bGxSZXF1ZXN0MjcyMjAwODE4 | 26,172 | ENH: adding functionality to support 'skipdatarows' flag in read_csv to … | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Adding feature for issue https://github.com/pandas-dev/pandas/issues/23067#issue-368463820. The newly added 'skipdatarows' flag allows the first n rows excluding comments to be... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26173 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26173/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26173/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26173/events | https://github.com/pandas-dev/pandas/issues/26173 | 435,488,707 | MDU6SXNzdWU0MzU0ODg3MDc= | 26,173 | Plotting ExtensionArrays | {
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... | open | false | null | [] | null | 5 | 2019-04-21T08:39:41Z | 2021-07-02T05:32:08Z | null | NONE | null | I'd like to plot data from an ExtensionArray. This currently results in an error `TypeError: Empty 'DataFrame': no numeric data to plot`
This is because the EA data is filtered out. Adding the ExtensionDtype to the filter criteria makes the plot work.
https://github.com/pandas-dev/pandas/blob/master/pandas/plotting... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26174 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26174/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26174/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26174/events | https://github.com/pandas-dev/pandas/issues/26174 | 435,511,282 | MDU6SXNzdWU0MzU1MTEyODI= | 26,174 | Exception: Prophet object can only be fit once. Instantiate a new object. | {
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```python
import pandas as pd
import pystan
from fbprophet import Prophet
plt.style.use('fivethirtyeight')
y = [t1_tmax['date'], t1_tmax['value']]
import pandas as pd
df = pd.DataFrame({'date': y[0], 'value': y[1]})
df.dtypes
df = df.rename(columns... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26175 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26175/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26175/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26175/events | https://github.com/pandas-dev/pandas/issues/26175 | 435,531,489 | MDU6SXNzdWU0MzU1MzE0ODk= | 26,175 | Add Type and Final pandas._typing | {
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] | closed | false | null | [] | null | 11 | 2019-04-21T17:42:33Z | 2019-04-24T15:10:38Z | 2019-04-24T15:10:38Z | CONTRIBUTOR | null | Since we are not merging #25975 `Type` and `Final` needs to be added to `pandas._typing` module.
`Final` is required for PR #25961
`Type` is required to stay compatible with python 3.5.1 as `Type` was added in 3.5.2 [python docs](https://docs.python.org/3/library/typing.html#typing.Type)
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Issue #20824 found that a fallback was occuring when df.Groupby().sum() was called with the skipna flag. This was occurring because the _cython_agg_general function was not acce... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26177 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26177/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26177/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26177/events | https://github.com/pandas-dev/pandas/pull/26177 | 435,537,075 | MDExOlB1bGxSZXF1ZXN0MjcyMjMzOTky | 26,177 | CLN: Clean-up use of super() in instance methods. | {
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Simplifies the use of simple uses of ``super`` by converting to use python3 idioms. This is a quite big PR, but only deals with converting ``super(MyClass, self)`` to ``super()`` so it's very simple.
In addition to the uses of ``super`` dealt with in this PR, there are some more advanced uses of... | {
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Removes uses of ``__metaclass__`` from the code base. After #26165 there was actually only one left.
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] | closed | false | null | [] | null | 4 | 2019-04-21T19:37:43Z | 2020-05-18T14:32:33Z | 2019-05-07T01:49:51Z | NONE | null | - [x] closes #20824
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Issue #20824 found that a fallback was occuring when df.Groupby().sum() was called with the skipna flag. This was occurring because the _cython_agg_general function was not accepting the argument, which h... | {
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The solution given is always min_periods, but that only includes the obvious issue where the NaN is at the beginning of the series. If there is any NaN then .apply will not call the function.
There should be a skipna=True... | {
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```python
# -*- coding: utf-8 -*-
import pandas as pd
def _do_calc_(_df):
df2 = _df.copy()
df2["vol_ma20"] = df2["volume"].rolling(20, min_periods=1).mean()
return df2
dbars = pd.read_csv("2019.dbar_ftridx.csv.gz",
in... | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Hi, I've been taking a look at this but I need to verify some of the surrounding functionality so that I prevent introducing more breakages.
In this test, https://github.com... | {
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```python
data = []
pd.DataFrame(data, columns=['col'])
```
#### Problem description
The expected behaviour should be the 3.6 one on both cases. Failing that, it should be consistent for 3.6 and 3.7.
np version 1.15.2 ; pandas version 0.23.4
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FixedLocator for Line and Area plot. The ticklabel stay consistent
when scaling and zooming.
closes #7612
closes #15912
closes #22334
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
import pandas as pd
import matplotlib.pyplot as plt
data = {"A":0, "B":3, "C":-4}
df = pd.DataFrame.from_dict(data, orient = "index", columns = ["Value"])
ax = df.plot.barh()
df = df.sort_values("Value") * - 2
df.plot.barh(ax = ax, color = "red")
plt.show()
```
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```sh
Traceback (most recent call last):
File "ci/../scripts/validate_docstrings.py", line 991, in <module>
args.ignore_deprecated))
File "ci/../scripts/validate_docstrings.py", line 891, in main
result = validate_all(prefix, ignore_deprecated)
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=10858
xfailing in #26190
```
> /Users/jreback/pandas/pandas/tests/series/test_missing.py(1446)test_interpolate_timedelta_index()
-> result = df[0].interpolate(method=method, **kwargs)
(Pdb) n
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```python
df = pd.DataFrame({'a': [1, 2]})
df.drop(4)
```
#### Problem description
Dropping non-existing entries results in error, like
```KeyError: '[4] not found in axis'```
#### Expected Output
An empty output or no action if inplace. Possibly a warn... | {
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Closes https://github.com/pandas-dev/pandas/issues/18628 (reverts https://github.com/pandas-dev/pandas/pull/18661)
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Therefore, when setting this environment variable, together with `AWS_ACCESS_K... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26196 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26196/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26196/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26196/events | https://github.com/pandas-dev/pandas/pull/26196 | 436,308,881 | MDExOlB1bGxSZXF1ZXN0MjcyODI3NTI1 | 26,196 | CLN: remove python2 file encodings | {
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Remove usage of ``# coding=utf-8`` pattern from code base. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26197 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26197/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26197/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26197/events | https://github.com/pandas-dev/pandas/pull/26197 | 436,320,673 | MDExOlB1bGxSZXF1ZXN0MjcyODM3MTE5 | 26,197 | CLN: remove '# -*- coding: utf-8 -*-' pattern | {
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Remove usage of ``-# -*- coding: utf-8 -*-`` pattern from code base.
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https://api.github.com/repos/pandas-dev/pandas/issues/26198 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26198/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26198/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26198/events | https://github.com/pandas-dev/pandas/pull/26198 | 436,413,942 | MDExOlB1bGxSZXF1ZXN0MjcyOTEyMTYz | 26,198 | Remove Unused Functions from ujson | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26199 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26199/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26199/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26199/events | https://github.com/pandas-dev/pandas/pull/26199 | 436,423,374 | MDExOlB1bGxSZXF1ZXN0MjcyOTE5Nzc0 | 26,199 | ujson Py2 compat removal | {
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Most of these changes are simply verbatim, though there are probably a few follow ups on context to simplify further that could b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26200 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26200/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26200/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26200/events | https://github.com/pandas-dev/pandas/issues/26200 | 436,425,802 | MDU6SXNzdWU0MzY0MjU4MDI= | 26,200 | CI Failures for test_string_na_nat_conversion | {
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```python
___________ TestToDatetimeMisc.test_string_na_nat_conversion[False] ____________
[gw0] linux -- Python 3.7.3 /home/vsts/miniconda3/envs/pandas-dev/bin/python
self = <pandas.tests.indexes.datetimes.test_tools.TestToDatetimeMisc object at 0x7f38c92b73c8>... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26201 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26201/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26201/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26201/events | https://github.com/pandas-dev/pandas/pull/26201 | 436,426,723 | MDExOlB1bGxSZXF1ZXN0MjcyOTIyMzE4 | 26,201 | Relaxed error message for failing test | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26202 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26202/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26202/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26202/events | https://github.com/pandas-dev/pandas/issues/26202 | 436,554,635 | MDU6SXNzdWU0MzY1NTQ2MzU= | 26,202 | how to merge two data frames with different dataframe | {
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Data Frame1 =
id a b c c1 d d1 e e1 f
0 al al1 - 1 K 10 _ _ File1
1 al al2 - 1 _ ... | {
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... | 3 | 2019-04-24T09:38:57Z | 2019-05-10T04:22:16Z | null | NONE | null | ```python
### Not working
pd.read_excel(
"test.xlsx",
na_values={"Test": ['#', 0]},
parse_dates=["Test"],
date_parser=lambda x: pd.to_datetime(x, format="%Y-%m-%d"),
)
### Working
pd.read_csv(
"test.txt",
na_values={"Test": ['#', 0]},
parse_dates=["Test"],
date_parser=lambda... | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
`asv continuous -f 1.05 origin/master HEAD -b ^io.csv.ReadCSVParseSpecialDate -a warmup_time=2 -a sample_time=2`:
master | patch | ratio | test_name
-|-|-|-
276±1ms| ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26205 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26205/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26205/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26205/events | https://github.com/pandas-dev/pandas/issues/26205 | 436,671,073 | MDU6SXNzdWU0MzY2NzEwNzM= | 26,205 | `read_html` crash when table is empty | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2019-04-24T12:35:16Z | 2019-04-25T15:29:36Z | 2019-04-25T15:29:36Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
foo = pd.read_html('<table><tbody><tr></tr></tbody></table>') # Crashed
print(foo)
```
#### Problem description
`pd.read_html` would crash if the input table is an empty table, as the sample code indicates. The crash output is as follows:
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https://api.github.com/repos/pandas-dev/pandas/issues/26206 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26206/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26206/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26206/events | https://github.com/pandas-dev/pandas/issues/26206 | 436,849,646 | MDU6SXNzdWU0MzY4NDk2NDY= | 26,206 | REGR? no error anymore when converting out of bounds datetime64[non-ns] data | {
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] | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/wesm... | 7 | 2019-04-24T18:41:36Z | 2020-01-06T20:53:21Z | 2019-12-30T17:52:01Z | MEMBER | null | Didn't directly find a related issue, but on master / 0.24 / 0.23, we see:
```
In [1]: pd.Series(np.array(['2262-04-12'], dtype='datetime64[D]'))
Out[1]:
0 1677-09-21 00:25:26.290448384
dtype: datetime64[ns]
```
while on pandas 0.22.0:
```
In [1]: pd.Series(np.array(['2262-04-12'], dtype='datetime64[D... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26207 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26207/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26207/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26207/events | https://github.com/pandas-dev/pandas/pull/26207 | 436,920,889 | MDExOlB1bGxSZXF1ZXN0MjczMzEwMzU1 | 26,207 | DOC: Fix misspelling in get_dummies docstring | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-04-24T21:44:03Z | 2019-04-24T22:27:22Z | 2019-04-24T22:27:14Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/26208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26208/events | https://github.com/pandas-dev/pandas/issues/26208 | 437,097,563 | MDU6SXNzdWU0MzcwOTc1NjM= | 26,208 | SeriesGroupBy.transform cannot handle empty series | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-04-25T09:27:53Z | 2019-05-15T13:01:28Z | 2019-05-15T13:01:28Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
d = pd.DataFrame({1: [], 2: []})
g = d.groupby(1)
g[2].transform(lambda x: x)
Traceback (most recent call last):
File "<input>", line 1, in <module>
File "C:\python37\lib\site-packages\pandas\core\groupby\generic.py", line 945, in transform
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26209 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26209/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26209/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26209/events | https://github.com/pandas-dev/pandas/issues/26209 | 437,102,724 | MDU6SXNzdWU0MzcxMDI3MjQ= | 26,209 | reindex does not work for groupby series with DateTimeIndex | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-04-25T09:38:57Z | 2020-04-25T22:05:11Z | 2020-04-25T22:05:11Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
# generate a simple df with weekly DateTimeIndex, group and a value
df = pd.DataFrame({
'group':['Group1','Group2','Group3']*3,
'value':np.random.randint(100, 1000, size=9)},
index=pd.date_ra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26210 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26210/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26210/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26210/events | https://github.com/pandas-dev/pandas/issues/26210 | 437,222,984 | MDU6SXNzdWU0MzcyMjI5ODQ= | 26,210 | BUG: Sorting MultiIndex with NaNs | {
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```python
>>> ix = pd.MultiIndex(levels=[['B', 'A'], ['x']], codes=[[-1, 0, 1], [0, 0, 0]],
... names=['symbol', 'date'])
>>> ix._sort_levels_monotonic()
MultiIndex(levels=[['A', 'B'], ['x']],
codes=[[0, 1, 0], [0, 0, 0]],
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26211 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26211/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26211/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26211/events | https://github.com/pandas-dev/pandas/pull/26211 | 437,306,912 | MDExOlB1bGxSZXF1ZXN0MjczNjEwMzY0 | 26,211 | Removed Unnecessary Compat Directives from ujson | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-04-25T17:09:15Z | 2020-01-16T00:34:11Z | 2019-04-26T00:45:12Z | MEMBER | null | Continuing cleanup of ujson source there are some preprocessor directives in there which are no longer valid given minimum Python and NumPy versions | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26212 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26212/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26212/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26212/events | https://github.com/pandas-dev/pandas/issues/26212 | 437,338,215 | MDU6SXNzdWU0MzczMzgyMTU= | 26,212 | Improve ujson test coverage or clean up dead code | {
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] | closed | false | null | [] | null | 7 | 2019-04-25T18:31:14Z | 2019-09-05T14:52:58Z | 2019-09-05T14:52:58Z | MEMBER | null | I've been spending some time cleaning up the integration with ujson in our source code. After enabling some debugging directives and running the test suite I noticed that there were quite a few places in objToJSON.c which were not being hit. This can point to either dead code or a lack of test coverage, so these can be... | {
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