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https://api.github.com/repos/pandas-dev/pandas/issues/26713 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26713/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26713/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26713/events | https://github.com/pandas-dev/pandas/issues/26713 | 453,663,317 | MDU6SXNzdWU0NTM2NjMzMTc= | 26,713 | Performance for TimedeltaArray.__iter__ and PeriodArray.__iter__ | {
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```
=================================== FAILURES ===================================
_______________________ TestDataFramePlots.test_subplots _______________________
[gw1] linux -- Python 3.6.8 /home/travis/miniconda3/envs/pandas-dev/bin/python
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xref https://github.com/pandas-dev/pandas/issues/26716 | {
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- https://travis-ci.org/pandas-dev/pandas/jobs/542915088
- https://travis-ci.org/pandas-dev/pandas/jobs/542931830
```
gw0 I
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
df['Quarter'] = pd.PeriodIndex(df['date'], freq='Q')
fig, ax = plt.subplots(figsize=(10,5))
df.plot.bar(x='Quarter', y ='ape', ax=ax, xlim=('2015Q1', '2019Q1'), color="tab:green").grid(alpha=.4)
```
#### Problem description
for bar plot, xlim option fails and always gives the same ... | {
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```python
import pandas as pd
divider_one = '=' * 75
divider_two = '+' * 75
divider_three = '#' * 75
####################################################################################################
# There are three declarations for the `base_df_*... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
```python
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https://api.github.com/repos/pandas-dev/pandas/issues/26723 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26723/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26723/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26723/events | https://github.com/pandas-dev/pandas/issues/26723 | 453,725,033 | MDU6SXNzdWU0NTM3MjUwMzM= | 26,723 | DOC/CI: Doc build is failing with sphinx 2.1 | {
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```
Recursion error:
maximum recursion depth exceeded while calling a Python object
This can happen with very large or deeply nested source files. You can carefully increase the default Python recursion limit of 1000 in conf.py with e.g.:
import sys; sys.setrecursionlimit(1500... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26724 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26724/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26724/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26724/events | https://github.com/pandas-dev/pandas/pull/26724 | 453,731,500 | MDExOlB1bGxSZXF1ZXN0Mjg2MzYzMTM1 | 26,724 | Set index with prepend | {
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This PR adds the ability to _prepend_ indices to existing ones using `.set_index()`, in the same vein as the `append` argument.
This avoid having to do the awkward alternatives:
- `.reset_index().set_index(...)`
- `.set_index(append=True).swapl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26725 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26725/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26725/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26725/events | https://github.com/pandas-dev/pandas/issues/26725 | 453,737,503 | MDU6SXNzdWU0NTM3Mzc1MDM= | 26,725 | CI 3.7 NumPy Dev Failures | {
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"description": ... | closed | false | null | [] | null | 0 | 2019-06-08T00:41:16Z | 2019-06-08T02:05:35Z | 2019-06-08T02:05:35Z | MEMBER | null | Quite a few CI failures lately so apologies if this was missed but I don't think we have an issue for this one. It looks like we are getting some failures with error message checking on NumPy dev. I think this is a result of this change upstream:
https://github.com/numpy/numpy/pull/13721/files
Here's a sample bui... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26726 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26726/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26726/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26726/events | https://github.com/pandas-dev/pandas/pull/26726 | 453,738,026 | MDExOlB1bGxSZXF1ZXN0Mjg2MzY4MDE5 | 26,726 | Fix broken np_dev CI | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/26727 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26727/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26727/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26727/events | https://github.com/pandas-dev/pandas/pull/26727 | 453,751,121 | MDExOlB1bGxSZXF1ZXN0Mjg2Mzc2NTM5 | 26,727 | CI: pin to sphinx 2.0.1 | {
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"gi... | [] | closed | false | null | [] | null | 1 | 2019-06-08T03:33:45Z | 2019-06-08T04:24:56Z | 2019-06-08T04:24:53Z | CONTRIBUTOR | null | xref https://github.com/pandas-dev/pandas/issues/26723 (leaving open, to unpin). | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26728 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26728/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26728/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26728/events | https://github.com/pandas-dev/pandas/issues/26728 | 453,760,630 | MDU6SXNzdWU0NTM3NjA2MzA= | 26,728 | Import pandas is stopping python service | {
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```python
import pandas as pd
```
#### Problem description
I just imported the pandas library which is restarting the shell and throwing an alert pop up stating PYTHON HAS STOPPED WORKING and this is in win 10[64bit]
Version:
C:\>python --version
Python 3.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26729 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26729/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26729/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26729/events | https://github.com/pandas-dev/pandas/pull/26729 | 453,764,367 | MDExOlB1bGxSZXF1ZXN0Mjg2Mzg1MDA3 | 26,729 | TST: troubleshot numexpr test | {
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https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=12414
```
_______ TestAlignment.test_basic_series_frame_alignment[numexpr-python] ________
[gw0] linux -- Python 3.6.8 /home/vsts/miniconda3/envs/pandas-dev/bin/python
self = <pandas.tests.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26730 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26730/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26730/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26730/events | https://github.com/pandas-dev/pandas/issues/26730 | 453,768,545 | MDU6SXNzdWU0NTM3Njg1NDU= | 26,730 | Series.round behavior with ExtensionArrays | {
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] | closed | false | null | [] | null | 16 | 2019-06-08T07:55:45Z | 2019-08-02T14:58:51Z | 2019-07-08T01:52:50Z | NONE | null | @TomAugspurger, in your blog post [Moral Philosophy for pandas or: What is .values?](https://tomaugspurger.github.io/pandas-moral-philosophy.html) you wrote
> In pandas 0.24, we'll (hopefully) have a good answer for what series.values is: a NumPy array or an ExtensionArray. For regular data types represented by NumP... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26731 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26731/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26731/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26731/events | https://github.com/pandas-dev/pandas/issues/26731 | 453,781,100 | MDU6SXNzdWU0NTM3ODExMDA= | 26,731 | .astype() and Decimal | {
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```python
import decimal
import pandas as pd
ser = pd.Series([1, 2])
ser.astype(decimal.Decimal)
```
Traceback
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/shadchin/t_d/venv/local/lib/python2.7/site-packages/pandas/core... | {
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- [x] closes #26661
- [x] tests added / passed
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cc @datapythonista | {
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```
__________________ TestDataFramePlots.test_df_grid_settings ___________________
[gw1] win32 -- Python 3.7.3 C:\Users\simon\Anaconda3\envs\pandas-dev\python.exe
self = <pandas.tests.plotting.test_frame.TestDataFramePlots object at 0x0000016EE807BD30>
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pytest marks are decorators and can be applied directly to test functions.
This PR changes `skip_if_no` to return just the pytest mark.
`skip_if_no` can then be used in (pytest.param(... , marks=) situations. eg. pandas/tests/io/test_html.py
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https://api.github.com/repos/pandas-dev/pandas/issues/26736 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26736/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26736/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26736/events | https://github.com/pandas-dev/pandas/pull/26736 | 453,797,335 | MDExOlB1bGxSZXF1ZXN0Mjg2NDA2NDIx | 26,736 | read_excel and Excel File Engine conflict | {
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cc. @WillAyd
Note I only decided to raise an error when the engine specified to `read_excel` was different to that of the ExcelFile - otherwise around 15 test cases would n... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26738 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26738/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26738/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26738/events | https://github.com/pandas-dev/pandas/pull/26738 | 453,802,595 | MDExOlB1bGxSZXF1ZXN0Mjg2NDA5OTc0 | 26,738 | CLN: remove Panel-specific parts of core.generic | {
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removed small amount of code related to self.ndim > 2
also a few changes to make the NotImplemented errors for self.ndim>2 more consistent and added test for these. (might be worth having a decorator for these) | {
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Maybe longer term they can be more intelligently combined but for now I think this still helps clean up requirements for adding new engines
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This avoid having to do the awkward alternatives:
- `.reset_index().set_index(...)`
- `.set_index(append=True).swaplevel(...)` or `.set_index(append=True).reorder_levels(...)`
My first sugg... | {
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Related to https://github.com/pandas-dev/pandas/issues/2... | {
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closes #26705
- [x] Updated the docstrings for the sphinx documentation
- [x] Updated the unit tests for testing deprecation warnings | {
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"d... | closed | false | null | [] | null | 3 | 2019-06-08T23:39:44Z | 2020-09-23T18:04:06Z | 2020-09-23T18:04:06Z | MEMBER | null | #26414 splitted the pandas plotting code into two different modules:
- `pandas.plotting`: Generic plotting framework that defined an API (with docs) and is able to plot with a selectable backend (will be selectable with a pandas option)
- `pandas.plotting._matplotlib`: Matplotlib backend
Our tests in `pandas/tests... | {
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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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The API defined by the current matplotlib backend... | {
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See https://github.com/pandas-dev/pandas/pull/26414#discussion_r291821639 | {
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- [x] passes git diff upstream/master -u -- "*.py" | flake8 --diff | {
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- [ ] tests added / passed
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closes #26705
- [x] Updated the docstrings for the sphinx documentation
- [x] Updated the unit tests for testing deprecation warnings
- [x] Added Git Issue Number to unit tests | {
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See for example https://travis-ci.org/pandas-dev/pandas/jobs/542714631:
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- [x] tets added / passed
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Adding option to specify the plotting backend. This does not change the plotting API, so for now backends are expected to implement the existing methods in the matplotlib API. Th... | {
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- [ ] tests added / passed
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@simonjayhawkins
Just moved everything as is. Some of the class structures are unnecessary now but leaving for follow ups | {
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AFAICT these warnings are caused by cython casting `len(some_ndarray)` to `int` or `Py_ssize_t` but casting `len(some_memoryview)` to `size_t`. Easiest fix is to declare the affected len variables as `size_t` since we know they'll never be negative. | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/26759 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26759/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26759/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26759/events | https://github.com/pandas-dev/pandas/pull/26759 | 453,983,372 | MDExOlB1bGxSZXF1ZXN0Mjg2NTI5NDk2 | 26,759 | BLD: use unsigned instead of signed for lengths, avoid build warnings | {
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- [ ] in a couple of comments here I wrote that a certain term should always be non-negative. I haven't actually confirmed that this is always the case
- [ ] This changed things from int64_t to uint64_t, but could also... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26760 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26760/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26760/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26760/events | https://github.com/pandas-dev/pandas/issues/26760 | 453,990,562 | MDU6SXNzdWU0NTM5OTA1NjI= | 26,760 | Fix implicitly registered converter warning | {
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The warning should only show up for `Axes.plot(datetimelike, ndarray)`.
```python
In [1]: import pandas as pd
In [2]: import numpy as np
In [3]: ts = pd.Series(np.random.randn(1000),
...: index=pd.date_range('1/1/2000', periods=1000)... | {
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```python
# Your code here
df.to_sql(TableName,index=False,if_exists="replace")
```
#### Problem description
I upgraded my pandas to 0.24.2 recently and encountered below error, which will not pop before.
When I am using python to transfer some data to sql ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26762 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26762/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26762/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26762/events | https://github.com/pandas-dev/pandas/issues/26762 | 454,026,580 | MDU6SXNzdWU0NTQwMjY1ODA= | 26,762 | duplicated() (and drop_duplicates()) incorrectly identifying unique/different rows as duplicates | {
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```python
import pandas as pd
s = pd.Series.from_csv('duplicated_int64-bug.csv')
d = {}
non_dupe_python = set()
for k, val in s.iteritems():
if k not in d:
d[k] = val
else:
if val != d[k]:
non_dupe_python.add(k)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26764 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26764/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26764/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26764/events | https://github.com/pandas-dev/pandas/pull/26764 | 454,097,923 | MDExOlB1bGxSZXF1ZXN0Mjg2NjE4MjYz | 26,764 | TST/CLN: declass smaller test files in tests\io\excel | {
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the larger files `pandas/tests/io/excel/test_readers.py` and `pandas/tests/io/excel/test_writers.py` have been left for separate PRs
any idiom changes other than required to declass are also omitted to make the diff easier to check. | {
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TypeError: cannot determine next label for type <class 'str'>
- [x] closes #25814
- [x] tets added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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... | 10 | 2019-06-10T13:35:02Z | 2021-07-10T02:36:51Z | null | MEMBER | null | We currently expose all of the following items from pandas.core.api via the API:
```python
from pandas.core.api import (
# dtype
Int8Dtype, Int16Dtype, Int32Dtype, Int64Dtype, UInt8Dtype,
UInt16Dtype, UInt32Dtype, UInt64Dtype, CategoricalDtype,
PeriodDtype, IntervalDtype, DatetimeTZDtype,
... | {
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```python
In[89]: df = pd.DataFrame({'a':[11111,22222,3333]})
In[90]: df
Out[90]:
a
0 11111
1 22222
2 3333
In[91]: df.astype('float16')
Out[91]:
a
0 11112.0
1 22224.0
2 3332.0
In[92]: df.astype('float32')
Out[92]:
... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I am not sure whether I had put my issue in whatsnew entry in appropriate place. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26770 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26770/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26770/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26770/events | https://github.com/pandas-dev/pandas/pull/26770 | 454,272,825 | MDExOlB1bGxSZXF1ZXN0Mjg2NzU4NjE0 | 26,770 | Fix matplotlib converter registering warning | {
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Tests were being skipped, because the module name changed in https://github.com/pandas-dev/pandas/pull/18307/files. | {
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def init_and_store(sh_0, sh_1):
'Init DataFrame and store it using HDFStore into 2 parts'
df = pd.DataFrame(np.random.rand(sh_0, sh_1))
cols1 = list(df.columns[:sh_1//2])
cols2 = list(df.columns[sh_1//2:])
with pd.HDFStore('test.h5') as store:
store.put('df1', df[cols1... | {
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Making that swap inside `pd.read_json()` yields a `~5-6x` speedup for the `orient='index'` case:
```
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```python
`import pandas as pd
import pandas.io.formats.excel
mypath = <Filepath>
#print(mypath)
from os import listdir
from os.path import isfile, join
#print (listdir(mypath))
textfiles = [ join(mypath,f) for f in listdir(mypath) if '.TXT' in f]
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- [none] tests added / passed
- [no (online Github minor change)] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [probably not necessary either?] whatsnew entry
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... | 0 | 2019-06-11T07:56:18Z | 2019-09-18T14:02:12Z | 2019-09-18T14:02:12Z | MEMBER | null | cc @TomAugspurger another one ...
Passing a sparse matrix to the SparseDataFrame constructor can generate a flood of warning message (I think because each column of the sparse matrix is converted to a SparseSeries, triggering the warning each time):
```
In [2]: import scipy.sparse
In [3]... | {
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```
In [11]: index = pd.RangeIndex(0, 10)
In [12]: index.union(pd.Index([0.5, 1.5]))
Out[12]: Index([0.0, 0.5, 1.0, 1.5, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0], dtype='object')
```
the dtype should be float.
cc @topper-123 | {
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```python
import pandas as pd
import numpy
In [34]: df = pd.DataFrame(
...: data={
...: 'channel': [1, 2, 3],
...: 'A': ['String 1', numpy.NaN, 'String 2'],
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Why if assign scalar and Series in list, error is raised:
wert = 2.5
df = pd.DataFrame([['Test', 12, None, None], ['Test2', 15, None, None]], columns=['A','B','C','D'])
mask = (df['A'] == 'Test2')
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... | 8 | 2019-06-11T14:27:58Z | 2020-12-12T11:27:28Z | 2020-12-12T11:27:27Z | MEMBER | null | master tracker for follow-ups to #26755 and related PRs
- [ ] use pytest.importorskip/not use the class structure https://github.com/pandas-dev/pandas/pull/26755#pullrequestreview-247416090
- [ ] location of fixtures https://github.com/pandas-dev/pandas/pull/26755#pullrequestreview-247404136
- [ ] imports an... | {
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cc @FHaase | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26786 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26786/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26786/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26786/events | https://github.com/pandas-dev/pandas/pull/26786 | 454,731,310 | MDExOlB1bGxSZXF1ZXN0Mjg3MTIzMDk3 | 26,786 | DOC: Fixing some doc warnings | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Fixing some docs warnings, still many more, but will open few PRs with fixes, try to get a clean build and start failing the CI for doc warnings. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26787 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26787/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26787/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26787/events | https://github.com/pandas-dev/pandas/pull/26787 | 454,766,085 | MDExOlB1bGxSZXF1ZXN0Mjg3MTUxMDIz | 26,787 | TST/CLN: use float_frame fixture to remove use of tm.getSeriesData() | {
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and a few small changes to remove use of `tm.getSeriesData()` with a couple of exceptions:
- conftest files: `pandas\conftest.py` and `pandas\tests\frame\conftest.py` (needed for fixtures)
- `pandas\tests\frame\common.py` (this modul... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26788 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26788/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26788/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26788/events | https://github.com/pandas-dev/pandas/issues/26788 | 454,768,276 | MDU6SXNzdWU0NTQ3NjgyNzY= | 26,788 | DOC: Fix doc warning "Code input with no code" | {
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When building the documentation `./doc/make.py html`, among other warnings we find the next:
```
/home/travis/miniconda3/envs/pandas-dev/lib/python3.6/site-packages/IPython/sphinxext/ipython_directive.py:1020: UserWarning: Code input with no code at /home/travis/build/pandas-dev/pandas/doc/source/use... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26789 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26789/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26789/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26789/events | https://github.com/pandas-dev/pandas/issues/26789 | 454,772,977 | MDU6SXNzdWU0NTQ3NzI5Nzc= | 26,789 | DOC: MultiIndex from levels and codes example fails | {
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https://pandas-docs.github.io/pandas-docs-travis/whatsnew/v0.25.0.html#multiindex-constructed-from-levels-and-codes
The example was added in #26408, @jiangyue12392 can you have a look please? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26790 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26790/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26790/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26790/events | https://github.com/pandas-dev/pandas/issues/26790 | 454,776,818 | MDU6SXNzdWU0NTQ3NzY4MTg= | 26,790 | DOC: IPython code blocks without In/Out prompts? | {
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```
In [3]: s = pd.Series([1, 3, 5, np.nan, 6, 8])
In [4]: s
Out[4]:
0 1.0
1 3.0
2 5.0
3 NaN
4 6.0
5 8.0
dtype: float64
```
(first code block from http://pandas.pydat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26791 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26791/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26791/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26791/events | https://github.com/pandas-dev/pandas/issues/26791 | 454,788,381 | MDU6SXNzdWU0NTQ3ODgzODE= | 26,791 | DOC: Add RangeIndex to the documentation and fix warnings | {
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Looks like we don't have `RangeIndex` in the documentation, and this is causing warnings:
```
pandas\doc\source\reference\index.rst:: WARNING: toctree contains reference to nonexisting document 'reference/api/pandas.DataFrame.sparse'
pandas\doc\source\reference\index.rst:: WARNING: toctree contains re... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26792 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26792/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26792/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26792/events | https://github.com/pandas-dev/pandas/issues/26792 | 454,808,666 | MDU6SXNzdWU0NTQ4MDg2NjY= | 26,792 | Annotate DataFrame (API exposed items from pandas.core.api) | {
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] | closed | false | null | [] | null | 5 | 2019-06-11T17:13:54Z | 2020-09-25T22:43:34Z | 2020-09-25T22:43:34Z | CONTRIBUTOR | null | Part of #26766
<details>
<summary>
- [x] Part 1 #26867
</summary>
- `_constructor`
- `_constructor_expanddim`
- `__init__`
- `axes`
- `shape`
- `_is_homogeneous_type`
</details>
<details>
<summary>
- [x] Part 2 (Rendering Methods) #28453
</summary>
- `_repr_fits_vertical_`
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```python
import pandas as pd
import numpy as np
a = pd.DataFrame({"A": [0, 2], "B": [0, 4]})
b = pd.DataFrame({"A": [0, 2], "C": [0, 4]}, index=[0, 2])
pdf1 = pd.DataFrame({'A': np.arange(10),
'B': [np.nan, 1, 2, 3, 4] * 2,
'C': [np.n... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26794 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26794/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26794/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26794/events | https://github.com/pandas-dev/pandas/pull/26794 | 454,868,076 | MDExOlB1bGxSZXF1ZXN0Mjg3MjMzNDk3 | 26,794 | DOC: Fix rolling doc with win_type triang (#22268) | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/26795 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26795/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26795/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26795/events | https://github.com/pandas-dev/pandas/pull/26795 | 454,891,859 | MDExOlB1bGxSZXF1ZXN0Mjg3MjUyNjMz | 26,795 | DOC: Document existing functionality of pandas.DataFrame.to_sql() #11886 | {
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- [ ] doc build fails (may be related to #26723)
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] **What's new?** Adds documentation to an existing functionality. In fact, the functionality is documented at `pandas.io.sql.to_sql` but it's not visible [he... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26796 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26796/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26796/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26796/events | https://github.com/pandas-dev/pandas/issues/26796 | 454,912,920 | MDU6SXNzdWU0NTQ5MTI5MjA= | 26,796 | limit_area and limit_direction do not have an effect when interpolation method is 'pad' | {
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```python
In [1]: import pandas as pd
In [2]: import numpy ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26797 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26797/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26797/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26797/events | https://github.com/pandas-dev/pandas/issues/26797 | 454,919,603 | MDU6SXNzdWU0NTQ5MTk2MDM= | 26,797 | How can i get the mean of a column and create another column with its results? | {
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] | closed | false | null | [] | null | 1 | 2019-06-11T21:50:04Z | 2019-06-12T01:45:11Z | 2019-06-12T01:45:11Z | NONE | null | So im working with a dataframe that contains info about the price at which several houses were sold in Melbourne during a certain time period.
It looks like this:
<img width="517" alt="5" src="https://user-images.githubusercontent.com/51389829/59308652-6de04080-8c56-11e9-88a2-6ac79ae9eaa5.png">
Now, here come... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26798 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26798/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26798/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26798/events | https://github.com/pandas-dev/pandas/issues/26798 | 454,925,725 | MDU6SXNzdWU0NTQ5MjU3MjU= | 26,798 | Error importing name 'DataFrame' from 'pandas.core.api' | {
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```python
# Your code here
import pandas
```
#### Problem description
Whenever I run a script containing pandas, I get the following error:
Traceback (most recent call last):
File "csv.py", line 1, in <module>
import pandas as pd
File "C:\Use... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26799 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26799/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26799/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26799/events | https://github.com/pandas-dev/pandas/pull/26799 | 454,959,569 | MDExOlB1bGxSZXF1ZXN0Mjg3MzA3NzMy | 26,799 | TST/REF: parametrize arithmetic tests, simplify parts of core.ops | {
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Fixing xfailed test in test_properties is straightforward
In core.ops: ATM we have a nested closure that wraps all of na_op in a try/except, but there is really only one line we want to catch. This simplifies the closure and catches only the relevant line. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26800 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26800/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26800/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26800/events | https://github.com/pandas-dev/pandas/pull/26800 | 454,982,602 | MDExOlB1bGxSZXF1ZXN0Mjg3MzI0ODI1 | 26,800 | REF: remove unreachable code in core.internals | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26801 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26801/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26801/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26801/events | https://github.com/pandas-dev/pandas/issues/26801 | 454,987,183 | MDU6SXNzdWU0NTQ5ODcxODM= | 26,801 | Inconsistency between pd.Categorical(x) and x.astype('category') | {
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So in pandas 0.24.2, this gave you the identical response...
```python
ipomPython 3.7.3 (default, Mar 27 2019, 16:54:48)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.4.0 -- An enhanced Interactive Python. Type '?' for help.
In ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26802/events | https://github.com/pandas-dev/pandas/pull/26802 | 454,992,357 | MDExOlB1bGxSZXF1ZXN0Mjg3MzMyMTA4 | 26,802 | REF: Consistent optional dependency handling | {
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1. Adds a new `import_optional_dependency` helper that handles optional importing, raising with a nice message, and warning / raising if the version is not correct.
2. Changes inline `try / except ImportError` to use `import_optional_dependency`
3. Documents... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26803 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26803/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26803/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26803/events | https://github.com/pandas-dev/pandas/issues/26803 | 454,993,525 | MDU6SXNzdWU0NTQ5OTM1MjU= | 26,803 | when all missing data, df.count() and df.sum() maybe better to return nan than 0 | {
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>>> import numpy as np
>>> import pandas as pd
>>> x = np.ma.masked_all( (5,2) )
>>> df = pd.DataFrame( x, columns=('a','b'))
>>> print( df.count() )
a 0
b 0
dtype: int64
>>> print( df.sum() )
a 0.0
b 0.0
dtype: float64
```
**when all missing data,
df.count() and df.sum() maybe better ... | {
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Currently, most of the `io` functionality (csv, json, html, pickle, stata...) lives in `pandas/io`. But the `to_*` functions are implemented in `pandas/core/[generic|frame|series].py`. The tests live in `pandas/tests/io`. And their dependencies, are not explicit anywhere afaik, t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26805 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26805/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26805/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26805/events | https://github.com/pandas-dev/pandas/issues/26805 | 455,097,028 | MDU6SXNzdWU0NTUwOTcwMjg= | 26,805 | df.groupby(group_keys=True) sometimes doesn't do anything | {
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"description": "Duplicate issue... | closed | false | null | [] | null | 1 | 2019-06-12T09:09:48Z | 2019-06-12T18:23:21Z | 2019-06-12T12:40:35Z | NONE | null | According to the df.groupby docstring :
```
group_keys : bool, default True
When calling apply, add group keys to index to identify pieces.
```
But it seems to work for some cases and not others:
```
df = pd.DataFrame({'key': [1, 1, 1, 2, 2, 2, 3, 3, 3],
'value': range(9)})
df.g... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26806 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26806/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26806/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26806/events | https://github.com/pandas-dev/pandas/issues/26806 | 455,099,046 | MDU6SXNzdWU0NTUwOTkwNDY= | 26,806 | df.groupby(as_index=bool) affects .agg('sum') but not .transform('sum') | {
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] | closed | false | null | [] | null | 2 | 2019-06-12T09:14:02Z | 2019-06-12T19:23:39Z | 2019-06-12T19:23:39Z | NONE | null | from docstring:
```
as_index : bool, default True
For aggregated output, return object with group labels as the
index. Only relevant for DataFrame input. as_index=False is
effectively "SQL-style" grouped output.
```
```python
In [26]: df=pd.DataFrame(dict(price=[10,10,20,20,30,30],color=[10,10,20,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26807 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26807/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26807/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26807/events | https://github.com/pandas-dev/pandas/issues/26807 | 455,139,844 | MDU6SXNzdWU0NTUxMzk4NDQ= | 26,807 | Split large test modules | {
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... | 7 | 2019-06-12T10:41:44Z | 2021-07-10T02:40:17Z | 2021-07-10T02:40:17Z | MEMBER | null | - [ ] pandas/tests/tseries/offsets/test_offsets.py #27085
- [ ] pandas/tests/test_resample.py #17806 (has now been split, some post split cleanup required)
- [ ] pandas/tests/io/test_pytables.py #18498
- [x] pandas/tests/test_window.py #19228
- [ ] pandas/tests/test_base.py #23877
- [x] pandas/tests/fram... | {
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"description": "resample... | closed | false | null | [] | null | 4 | 2019-06-12T11:07:40Z | 2021-07-10T04:18:47Z | 2021-07-10T04:18:47Z | CONTRIBUTOR | null | Having a series like the one bellow, which I resample to `'2D'` frequency and the sum the resulting resampler:
```python
>>> dates = pandas.date_range('2019-01-01', '2019-01-10', freq='D')[[0, 4, 5, 8]]
>>> dates
DatetimeIndex(['2019-01-01', '2019-01-05', '2019-01-06', '2019-01-09'], dtype='datetime64[ns]', freq=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26809 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26809/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26809/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26809/events | https://github.com/pandas-dev/pandas/issues/26809 | 455,152,554 | MDU6SXNzdWU0NTUxNTI1NTQ= | 26,809 | Enhancement: Subset selection similar to R dplyr filter | {
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] | closed | false | null | [] | null | 5 | 2019-06-12T11:12:18Z | 2019-06-12T16:39:14Z | 2019-06-12T16:28:11Z | NONE | null | Edited: Fixed typo
This is a feature request. I start by showing how I usually work and then suggest a new method `NDFrame.subset` including an implementation sketch.
I have also written a longer explanation and some examples [here (personal blog)](http://rasmuse.github.io/pandas-subset.html) and [here (jupyter n... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26810 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26810/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26810/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26810/events | https://github.com/pandas-dev/pandas/pull/26810 | 455,206,456 | MDExOlB1bGxSZXF1ZXN0Mjg3NTAxOTMy | 26,810 | DOC: Fixing some more warnings | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Fixing some more warnings in the doc build, and small improvements to the interpolation doc.
CC: @jorisvandenbossche | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26811 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26811/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26811/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26811/events | https://github.com/pandas-dev/pandas/pull/26811 | 455,226,306 | MDExOlB1bGxSZXF1ZXN0Mjg3NTE4MTE5 | 26,811 | CLN: compat.to_str -> core.dtypes.common.ensure_str | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-06-12T13:50:30Z | 2019-06-12T14:57:01Z | 2019-06-12T14:56:56Z | CONTRIBUTOR | null | ``compat.to_str`` is useful to have in cases where an object might be a ``bytes`` object, so it's moved to ``core.dtypes.common`` and renamed to ``ensure_str``.
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https://api.github.com/repos/pandas-dev/pandas/issues/26812 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26812/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26812/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26812/events | https://github.com/pandas-dev/pandas/issues/26812 | 455,293,284 | MDU6SXNzdWU0NTUyOTMyODQ= | 26,812 | Multiplying nd.array by series returns incorrect result in pandas 0.23.0-0.23.4 (but is fixed in 0.24) | {
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```python
In [1]: import numpy as np
...: import pandas as pd
...:
...: mat = np.random.random(size = (100,100))
...: arr = np.random.random(size=100)
...:
...: df = pd.DataFrame(mat)
...: ser = pd.Series(arr)
...:
...: print(... | {
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