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https://api.github.com/repos/pandas-dev/pandas/issues/26413 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26413/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26413/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26413/events | https://github.com/pandas-dev/pandas/pull/26413 | 444,495,358 | MDExOlB1bGxSZXF1ZXN0Mjc5MTQzNTQz | 26,413 | Added conda update step and re-added gcsfs | {
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- [ ] tests added / passed
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In order to be able to change pandas plotting backend, I think we need 3 main things:
1. Decouple the current matplotlib backend from the pandas plotting system, and just call it... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26415 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26415/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26415/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26415/events | https://github.com/pandas-dev/pandas/pull/26415 | 444,571,640 | MDExOlB1bGxSZXF1ZXN0Mjc5MjA0NjE1 | 26,415 | CLN: remove __unicode__ from pandas.core.dtypes | {
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Removes use of ``__unicode__`` from the pandas.core.dtypes namespace. | {
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Removes use of ``__unicode__`` from the all pyx, pxi pxi.in etc type files.
This pattern was almost not used in the non-.py type files. | {
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----
Which section should i add the whatsnew entry in for this particular case? | {
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```python
DF = pandas.DataFrame
S = pandas.Series
ll = [list(range(5)) for i in range(10)]
print(DF(ll).shape)
ld = [{j: j for j in range(5)} for i in range(10)]
print(DF(ld).shape)
dd = {i: {j: j for j in range(5)} for i in range(10)}
print(DF(dd).shape)... | {
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- [X] tests added / passed
- [] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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@gwrome @vaibhavhrt would love any feedback from you | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26422 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26422/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26422/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26422/events | https://github.com/pandas-dev/pandas/pull/26422 | 444,828,409 | MDExOlB1bGxSZXF1ZXN0Mjc5NDA0MzU4 | 26,422 | Correction (and clarification) to EWMA doc | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-05-16T08:44:48Z | 2019-05-18T14:22:22Z | 2019-05-18T14:22:13Z | CONTRIBUTOR | null | Correct ``adjust=True`` to ``adjust=False`` in line 889 of the documentation (discussing EWMA).
Also propose minor clarifications in demonstration that two variants (adjust=False and adjust=True) are equivalent for infinite series (lines 868 and 887-893).
Closes https://github.com/pandas-dev/pandas/issues/24814 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26423 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26423/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26423/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26423/events | https://github.com/pandas-dev/pandas/pull/26423 | 444,832,120 | MDExOlB1bGxSZXF1ZXN0Mjc5NDA3MzE2 | 26,423 | DOC: remove usage of lrange in docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26424 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26424/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26424/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26424/events | https://github.com/pandas-dev/pandas/issues/26424 | 444,846,951 | MDU6SXNzdWU0NDQ4NDY5NTE= | 26,424 | Add Koalas project in pandas Ecosystem | {
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N/A
#### Problem description
There is a project called Koalas which targets the distributed Pandas DataFrame on the top of Apache Spark.
It might be good to document this as one of the eco systems too.
#### Expected Output
Koalas description at htt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26425 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26425/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26425/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26425/events | https://github.com/pandas-dev/pandas/pull/26425 | 444,850,409 | MDExOlB1bGxSZXF1ZXN0Mjc5NDIxNzY1 | 26,425 | DOC: ecosystem.rst: Koalas | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I (almost) copied and pasted from its README.md. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26426 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26426/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26426/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26426/events | https://github.com/pandas-dev/pandas/pull/26426 | 444,911,150 | MDExOlB1bGxSZXF1ZXN0Mjc5NDcwNjcy | 26,426 | BUG: fix calling local references with keyword arguments in query | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
calling local references with keyword arguments in query fails with attribute error:
```python
import numpy as np
import pandas as pd
def f(a, b):
return b
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https://api.github.com/repos/pandas-dev/pandas/issues/26427 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26427/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26427/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26427/events | https://github.com/pandas-dev/pandas/issues/26427 | 444,937,489 | MDU6SXNzdWU0NDQ5Mzc0ODk= | 26,427 | BUG: field in Series produced by DataFrame.iterrows has type Timestamp instead of string | {
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... | open | false | null | [] | null | 3 | 2019-05-16T12:50:54Z | 2021-07-02T06:03:09Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
from datetime import datetime
df = []
df.append({
'a': '1801',
'b': datetime.now(),
})
df.append({
'a': '11801',
'b': datetime.now(),
})
df = pd.DataFrame(df)
for i, row in df.iterrows():
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26428 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26428/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26428/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26428/events | https://github.com/pandas-dev/pandas/issues/26428 | 444,950,455 | MDU6SXNzdWU0NDQ5NTA0NTU= | 26,428 | CI: how to ensure certain tests have been run | {
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You can check the skipped tests (but they are only in there if the tests were r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26429 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26429/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26429/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26429/events | https://github.com/pandas-dev/pandas/issues/26429 | 445,104,330 | MDU6SXNzdWU0NDUxMDQzMzA= | 26,429 | bad arguments to dataframe constructor causes segfault | {
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```python
pandas.DataFrame(data=(range(10), range(10, 20)), columns=('ones', 'twos'))
```
```
# python
Python 2.7.14 (default, Dec 12 2017, 16:55:09)
[GCC 4.9.2] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26430 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26430/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26430/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26430/events | https://github.com/pandas-dev/pandas/issues/26430 | 445,126,809 | MDU6SXNzdWU0NDUxMjY4MDk= | 26,430 | Accept multiple lambda in groupby list | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-05-16T19:41:15Z | 2019-08-21T11:40:21Z | 2019-06-27T23:20:11Z | CONTRIBUTOR | null | We currently don't allow duplicate function names in the list passed too `.groupby().agg({'col': [aggfuncs]})`. This is painful with multiple lambdas, which all have the name `<lambda>`
```python
In [1]: import pandas as pd
df
In [2]: df = pd.DataFrame({"A": ['a', 'a'], 'B': [1, 2], 'C': [3, 4]})
In [3]: df.gr... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [n/a ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/26432 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26432/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26432/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26432/events | https://github.com/pandas-dev/pandas/pull/26432 | 445,134,787 | MDExOlB1bGxSZXF1ZXN0Mjc5NjQ5NjU1 | 26,432 | CLN: remove __unicode__ from code base | {
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Removes use of ``__unicode__`` from the code base. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26433 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26433/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26433/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26433/events | https://github.com/pandas-dev/pandas/pull/26433 | 445,162,074 | MDExOlB1bGxSZXF1ZXN0Mjc5NjcxNjEy | 26,433 | CLN: Remove unicode u string prefix in regexes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26434 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26434/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26434/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26434/events | https://github.com/pandas-dev/pandas/pull/26434 | 445,176,573 | MDExOlB1bGxSZXF1ZXN0Mjc5NjgzMzI4 | 26,434 | CLN: Remove type from (class|type) in regexes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26435 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26435/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26435/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26435/events | https://github.com/pandas-dev/pandas/pull/26435 | 445,192,162 | MDExOlB1bGxSZXF1ZXN0Mjc5Njk2MDg4 | 26,435 | CLN: remove unused code check for pytest.raises | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26436 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26436/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26436/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26436/events | https://github.com/pandas-dev/pandas/issues/26436 | 445,229,799 | MDU6SXNzdWU0NDUyMjk3OTk= | 26,436 | Test doctests in pandas/core/reshape/concat.py | {
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#### Problem description
Doctests in `concat.py` are being failed as below:
```
Failed example:
pd.concat([df5, df6], verify_integrity=True)
Expected:
Traceback (most recent call last):
...
ValueError: Indexes have overlapping valu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26437 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26437/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26437/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26437/events | https://github.com/pandas-dev/pandas/pull/26437 | 445,229,977 | MDExOlB1bGxSZXF1ZXN0Mjc5NzI1MTcw | 26,437 | DOC: Test doctests in pandas/core/reshape/concat.py | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Current errors are:
pandas\core\indexing.py:1487: error: Incompatible types in assignment (expression has type "Type[Exception]", base class "_NDFrameIndexer" defined the type as "Type[KeyError]")
pandas\core\indexing.py:1783: error: Incompatible types in assignment (expression has type "... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26440 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26440/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26440/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26440/events | https://github.com/pandas-dev/pandas/pull/26440 | 445,485,310 | MDExOlB1bGxSZXF1ZXN0Mjc5OTI3MDA2 | 26,440 | ERR: User-facing AssertionError in DataFrame Constructor | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [x] tests added / passed
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- [ n/a] whatsnew entry
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] | closed | false | null | [] | null | 2 | 2019-05-17T23:10:41Z | 2019-08-30T17:08:33Z | 2019-08-30T17:08:33Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
d = {"data": 123}
df = pd.DataFrame(d, index=[pd.Timestamp("2019-01-01T18:00").tz_localize('America/New_York')])
df.to_hdf('/tmp/test.h5', key="key") # write in Python 2
df = pd.read_hdf('/tmp/test.h5', key="key") # failed in py3
print(df)
`... | {
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Deprecate the use of ``__bytes__`` method from ``StringMixin`` and ``PandasExtensionDtype``. These are the only uses of ``__bytes__`` in the code base.
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```python
In [2]: df = pd.DataFrame([['foo']])
In [4]: df.to_csv('afile.csv', encoding='utf16')
In [5]: with open('afile.csv', 'rb') as afile:
...: print(afile.read())
...:
b'\xff\xfe,\x000\x00\n\x000\x00,\x00f\x00o\x00o\x00\n\x00'
```
Note th... | {
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Remove ``__bytes__`` method from ``StringMixin`` and ``PandasExtensionDtype``. These are the only uses of ``__bytes__`` in the code base.
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```python
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator, FormatStrFormatter
plt.rcParams['font.sans-serif'] = ['KaiTi']
plt.rcParams['font.serif'] = ['KaiTi']
# plt.rcParams['axes.u... | {
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@gwrome and @vaibhavhrt | {
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Not sure if we need an explicit deprecation cycle or if this is implied with moving minimum support to Py35 | {
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i leave this as draft until #26438 is merged, to prevent this one being merged first.
not used `iloc` for the expected where dropping levels would be required, used df.values instead. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26452 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26452/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26452/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26452/events | https://github.com/pandas-dev/pandas/issues/26452 | 445,766,059 | MDU6SXNzdWU0NDU3NjYwNTk= | 26,452 | TypeError: can't multiply sequence by non-int of type 'float' | {
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] | closed | false | null | [] | null | 6 | 2019-05-19T00:12:57Z | 2019-05-19T00:57:13Z | 2019-05-19T00:52:40Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator, FormatStrFormatter
plt.rcParams['font.sans-serif'] = ['KaiTi']
plt.rcParams['font.serif'] = ['KaiTi']
# pl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26453 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26453/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26453/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26453/events | https://github.com/pandas-dev/pandas/issues/26453 | 445,766,926 | MDU6SXNzdWU0NDU3NjY5MjY= | 26,453 | Replace Union annotations with TypeVar | {
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@gwrome @vaibhavhrt | {
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... | open | false | null | [] | null | 3 | 2019-05-19T02:30:51Z | 2020-06-28T23:20:03Z | null | MEMBER | null | The `nth` method of GroupBy objects can accept a `dropna` keyword, but it doesn't handle Categorical data appropriately. For instance:
```python-traceback
In [9]: cat = pd.Categorical(['a', np.nan, np.nan], categories=['a', 'b'])
...: ser = pd.Series([1, 2, 3])
...: df = pd.DataFrame({'cat': cat, 'ser': ser... | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
----
Not sure, how to add a new test for this particular case. Is it is possible without creating a `addinfourl` object with a specific URL? Thanks.
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This PR fixes issues in the handling of the `color` parameter in the implementation of `DataFrame.boxplot` that do not exist in `DataFrame.plot.box`
- the `color` parameter i... | {
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] | closed | false | null | [] | null | 3 | 2019-05-19T04:31:48Z | 2020-01-16T00:34:47Z | 2019-05-20T19:40:28Z | MEMBER | null | - [X] closes #12004
- [ ] tests added / passed
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This is a WIP and requires a little more refinement (namely around how `level` is incremented in the extension module, testing arrays) but is more or less the direction I think ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26459 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26459/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26459/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26459/events | https://github.com/pandas-dev/pandas/issues/26459 | 445,856,427 | MDU6SXNzdWU0NDU4NTY0Mjc= | 26,459 | DataFrame constructor with MultiIndex DataFrame raises ValueError | {
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... | 0 | 2019-05-19T19:42:48Z | 2020-04-23T15:08:27Z | null | MEMBER | null | xref #26451
```python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.randn(3, 3),
columns=[['i', 'i', 'j'], ['A', 'A', 'B']],
index=[['i', 'i', 'j'], ['X', 'X', 'Y']])
pd.DataFrame(df.iloc[[0, 1]], index=['X', 'X'])
```
#### Problem description
The error m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26460 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26460/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26460/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26460/events | https://github.com/pandas-dev/pandas/issues/26460 | 445,859,335 | MDU6SXNzdWU0NDU4NTkzMzU= | 26,460 | unhelpful error message with DataFrame constructor and integer MultiIndex DataFrame | {
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"description": "Incorrect or improved er... | open | false | null | [] | null | 0 | 2019-05-19T20:12:51Z | 2020-04-25T11:27:26Z | null | MEMBER | null | similar to #26459, but with integer MultiIndex
#### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.randn(3, 3),
columns=[[2, 2, 4], [6, 8, 10]],
index=[[4, 4, 8], [8, 10, 12]])
pd.DataFrame(df.iloc[[... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26461 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26461/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26461/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26461/events | https://github.com/pandas-dev/pandas/pull/26461 | 445,862,029 | MDExOlB1bGxSZXF1ZXN0MjgwMTk2MzE3 | 26,461 | Fix 'observed' kwarg not doing anything on SeriesGroupBy | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/26462 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26462/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26462/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26462/events | https://github.com/pandas-dev/pandas/issues/26462 | 445,863,941 | MDU6SXNzdWU0NDU4NjM5NDE= | 26,462 | `groupby` in combination with `rolling` provides unintuitve errors | {
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... | 8 | 2019-05-19T21:03:54Z | 2020-01-08T16:13:53Z | 2020-01-08T16:13:53Z | NONE | null |
I think the minimal example here is
```
In [28]: df = pd.DataFrame({"A": range(12)})
In [29]: df.rolling(3, win_type='gaussian').mean()
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-29-... | {
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- [x] 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/26464 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26464/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26464/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26464/events | https://github.com/pandas-dev/pandas/pull/26464 | 445,903,112 | MDExOlB1bGxSZXF1ZXN0MjgwMjI0ODc4 | 26,464 | CLN: Remove ExcelWriter.sheetname | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
cc @WillAyd | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This pr tries to address #25723.
Made a small addition to the ExcelFile section of user_guide/io.rst regarding the discussion in #25723.
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- [x] tests passed
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- [x] Added defensive check for argument `errors` in func `to_numeric`
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https://api.github.com/repos/pandas-dev/pandas/issues/26468 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26468/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26468/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26468/events | https://github.com/pandas-dev/pandas/issues/26468 | 446,038,212 | MDU6SXNzdWU0NDYwMzgyMTI= | 26,468 | BUG: setitem with boolean mask and series as value is broken for Series with EA type | {
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```
In [1]: df = pd.DataFrame({'a': [0, 0, np.nan, np.nan], 'b': pd.array(range(4), dtype='Int64')})
In [2]: s = df['b'].copy()
In [3]:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26469 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26469/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26469/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26469/events | https://github.com/pandas-dev/pandas/issues/26469 | 446,047,785 | MDU6SXNzdWU0NDYwNDc3ODU= | 26,469 | BUG: Series construction with EA dtype and index but no data fails | {
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```
In [8]: pd.Series(None, index=[1, 2, 3], dtype='Int64')
------------------------------------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26470 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26470/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26470/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26470/events | https://github.com/pandas-dev/pandas/issues/26470 | 446,085,799 | MDU6SXNzdWU0NDYwODU3OTk= | 26,470 | Getting error while trying to read csv using pandas Python due to extra column values | {
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"gist... | [] | closed | false | null | [] | null | 3 | 2019-05-20T12:18:24Z | 2019-05-20T13:20:20Z | 2019-05-20T13:02:09Z | NONE | null | Here is the scenario that I am trying to rid of:
I am trying to read the following type of csv:
```
para1,para2,para3,para4
1,2,3,4
1,2,3,4,5
1,2,3,4
2,3,4,5,6,7,8,9,0
```
I am using the following command and getting the following error:
```
>>> import pandas as pd
>>> df =pd.read_csv("test.csv")
Trace... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26471 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26471/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26471/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26471/events | https://github.com/pandas-dev/pandas/pull/26471 | 446,140,692 | MDExOlB1bGxSZXF1ZXN0MjgwNDA5ODM5 | 26,471 | Fix bug where list like object not returning empty Index. | {
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"followers_url": "https://api.github.... | 14 | 2019-05-20T14:12:39Z | 2019-08-22T11:41:02Z | 2019-08-22T11:40:59Z | CONTRIBUTOR | null | - [x] closes #17101
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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] | closed | false | null | [] | null | 4 | 2019-05-20T14:23:44Z | 2019-05-28T13:41:38Z | 2019-05-28T13:41:38Z | NONE | null | Unfurtunately i cant provide the data iam using (since it's enterprise privative), but it has a lot of NaN values.
I do:
df = df.dropna(axis=0,thresh=1)
Returns a DataFrame with nan values, i can confirm this looping through the DataFrame and applying np.isnan.
Then i do:
df = df.fillna(0)
The new DataFr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26473 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26473/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26473/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26473/events | https://github.com/pandas-dev/pandas/pull/26473 | 446,249,028 | MDExOlB1bGxSZXF1ZXN0MjgwNDk0NTg1 | 26,473 | Excel Test Cleanup - ReadWriteClass | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-05-20T18:21:47Z | 2020-01-16T00:34:48Z | 2019-05-24T16:01:09Z | MEMBER | null | The tests we have in this module need a pretty big refactor as they mix a few testing idioms together. This is slowing down contributions on items like #25092 and #25427
This is going to require quite a few PRs to get it where it needs to be. This one simply:
- Moves tests that require both reading and writing i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26474 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26474/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26474/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26474/events | https://github.com/pandas-dev/pandas/pull/26474 | 446,259,424 | MDExOlB1bGxSZXF1ZXN0MjgwNTAyODM5 | 26,474 | Fix the output of df.describe on an empty categorical / object column | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/26475 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26475/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26475/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26475/events | https://github.com/pandas-dev/pandas/issues/26475 | 446,299,977 | MDU6SXNzdWU0NDYyOTk5Nzc= | 26,475 | df.groupby on a column with complex numbers is broken | {
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... | 1 | 2019-05-20T20:38:53Z | 2019-05-20T21:37:13Z | null | CONTRIBUTOR | null | Currently, grouping by a key that has complex numbers is broken, see the following example
```python
import pandas as pd
df = pd.DataFrame([dict(a=1, b=1 + 1j), dict(a=1, b=1 + 2j)])
df.groupby("b").groups
```
output:
```
{1.0: Int64Index([0, 1], dtype='int64')}
```
expected:
```
{0: Int64Index([0], dty... | {
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Standard Error of the Mean works on `Groupby` objects, but not `RollingGroupby` objects.
`Groupby` object
```python
data = pd.DataFrame({"a": np.linspace(0, 100, 101),
"b": np.random.random(101).round(1) # values we can... | {
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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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] | closed | false | null | [] | null | 2 | 2019-05-21T06:05:29Z | 2019-05-21T10:47:57Z | 2019-05-21T06:07:42Z | NONE | null | #### My code
```python
def mer_new():
data1 = read_file.reduce_mem_usage(pd.read_csv('E:\\skysun\\JDA\\jdata\\jdata_action.csv', sep=',', nrows=6000000,
dtype={'acoustic_data': np.int16, 'time_to_failure': np.float64}))
data1 = data1[['user_id', 'sku_id'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26479 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26479/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26479/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26479/events | https://github.com/pandas-dev/pandas/issues/26479 | 446,550,265 | MDU6SXNzdWU0NDY1NTAyNjU= | 26,479 | BUG: .shift() on IntervalArray column raises ValueError | {
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```python
>>> import pandas
>>> interval_array = pandas.arrays.IntervalArray.from_arrays([1, 2, 3], [4, 5, 6])
>>> interval_array
IntervalArray([(1, 4], (2, 5], (3, 6]],
closed='right',
dtype='interval[int64]')
>>> interval_seri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26480 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26480/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26480/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26480/events | https://github.com/pandas-dev/pandas/issues/26480 | 446,709,991 | MDU6SXNzdWU0NDY3MDk5OTE= | 26,480 | pd.DataFrame.dot does not work when column index is set | {
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... | 3 | 2019-05-21T16:18:48Z | 2019-05-23T16:46:20Z | 2019-05-23T16:46:20Z | NONE | null | From the [documentation](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.dot.html) we see that the following code is just fine:
```python
df = pd.DataFrame([[0, 1, -2, -1], [1, 1, 1, 1]])
s = pd.Series([1, 1, 2, 1])
df.dot(s)
```
and will return
```python
pd.Series([-4,5])
```
In... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26481 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26481/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26481/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26481/events | https://github.com/pandas-dev/pandas/issues/26481 | 446,756,456 | MDU6SXNzdWU0NDY3NTY0NTY= | 26,481 | iterating pandas dataframe difference between python 3.5.6 and 3.7.3 | {
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] | closed | false | null | [] | null | 2 | 2019-05-21T18:14:02Z | 2019-05-21T18:59:02Z | 2019-05-21T18:59:02Z | NONE | null | Hi.
I realized a difference when I am iterating the dataframe in python 3.5.6 and 3.7.3 and I can't decide if it is good or bad.
```python
import pandas as pd
class Something(object):
def __init__(self, data):
self.data = data
data = {
'col1': [1, 2, 4],
'col2': [3, 4, None],
'co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26482 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26482/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26482/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26482/events | https://github.com/pandas-dev/pandas/pull/26482 | 446,778,991 | MDExOlB1bGxSZXF1ZXN0MjgwOTExNjM0 | 26,482 | CLN: Remove StringMixin from pandas.core.computation | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
StringMixin is not really useful anymore and only functions to reverse the calling order of ``__str__`` and ``__repr__``, which is now not-standard in Python3.
This removes the usage of StringMixin in pandas.core.computation. ... | {
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Added simple check for non-zero number of numeric columns plus suggested error message in case the check fails.
Happy to make any adjustments this if desired.
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```python
import numpy as np
import pandas as pd
from bottleneck import nanmax
#from numpy import nanmax ~ using numpy.nanmax will not create a memory leak
import gc
import tracemalloc
def pDbN_dosomething(df, rip_values = False):
#ms = []
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https://api.github.com/repos/pandas-dev/pandas/issues/26486 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26486/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26486/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26486/events | https://github.com/pandas-dev/pandas/pull/26486 | 447,066,460 | MDExOlB1bGxSZXF1ZXN0MjgxMTM3OTg4 | 26,486 | DOC/CLN: Change API reference section title | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26487 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26487/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26487/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26487/events | https://github.com/pandas-dev/pandas/issues/26487 | 447,069,291 | MDU6SXNzdWU0NDcwNjkyOTE= | 26,487 | Please stop relying on xlrd | {
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... | closed | false | null | [] | null | 9 | 2019-05-22T10:58:34Z | 2019-05-26T16:24:47Z | 2019-05-26T06:20:31Z | CONTRIBUTOR | null | #### Problem description
Guys, xlrd is unmaintained. I know, I'm the maintainer!
Please can you use [openpyxl]( https://openpyxl.readthedocs.io/en/stable/) for reading xlsx files instead.
If you really must keep support for the ancient and outdated .xls format, by all means fall back to xlrd, but warn people t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26488 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26488/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26488/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26488/events | https://github.com/pandas-dev/pandas/issues/26488 | 447,122,093 | MDU6SXNzdWU0NDcxMjIwOTM= | 26,488 | Set single cell of Multindex DataFrame to array | {
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] | closed | false | null | [] | null | 3 | 2019-05-22T12:59:36Z | 2019-06-03T15:42:05Z | 2019-06-03T10:38:39Z | NONE | null | I am creating a Multindex DataFrame but I don't know in advance how many rows I will have, since I reading from a pool of files. I basically want to append a new row every time. The best way I found is:
```python
idx = pd.MultiIndex(levels=[[],[]], codes=[[],[]], names=['level0', 'level1'])
df = pd.DataFrame(colum... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26489 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26489/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26489/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26489/events | https://github.com/pandas-dev/pandas/pull/26489 | 447,131,606 | MDExOlB1bGxSZXF1ZXN0MjgxMTkwMjcw | 26,489 | Fixed typo mutiplication -> multiplication | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26490 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26490/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26490/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26490/events | https://github.com/pandas-dev/pandas/issues/26490 | 447,161,040 | MDU6SXNzdWU0NDcxNjEwNDA= | 26,490 | RecursionError when selecting single column from IntervalIndex | {
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```python
df = pd.DataFrame(
np.ones((3, 4)),
columns=pd.IntervalIndex.from_breaks(np.arange(5)))
df[0.5]
df.loc[:, 0.5]
```
#### Problem description
Instead of returning the selected column, either calling `df[0.5]` or `df.loc[:, 0.5]`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26491 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26491/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26491/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26491/events | https://github.com/pandas-dev/pandas/issues/26491 | 447,237,850 | MDU6SXNzdWU0NDcyMzc4NTA= | 26,491 | Label-based indexing on a Series with an index of dtype=object raises TypeError when using slices with integer bound | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-05-22T16:39:13Z | 2020-11-09T02:52:06Z | 2020-11-09T02:52:06Z | CONTRIBUTOR | null | When indexing a pandas axis that has an `index` of `dtype=object`, with label-based indexing, passing a slice that contains an integer bound results in a `TypeError`, even if the integer *is indeed a label* in the `index` of the series.
### Details
#### Code Sample
When indexing a pandas axis that has an `index`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26492 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26492/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26492/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26492/events | https://github.com/pandas-dev/pandas/pull/26492 | 447,295,897 | MDExOlB1bGxSZXF1ZXN0MjgxMzIxNjMx | 26,492 | TST: Test sorting levels not aligned with index (#25775) | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-05-22T19:04:53Z | 2019-06-05T12:54:40Z | 2019-06-05T12:54:35Z | CONTRIBUTOR | null | - [x] closes #25775
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry (empty since no user-facing changs)
With `master` at 6d2398a58fda68e40f116f199439504558c7774c, issue #25775 seems resolved. Added validation tests. | {
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... | 4 | 2019-05-22T19:05:06Z | 2019-05-27T07:41:01Z | null | MEMBER | null | ```python
In [46]: pd.__version__
Out[46]: '0.25.0.dev0+593.g307265e28'
In [47]: pd.to_datetime(['15010101', '20150101', np.nan], format="%Y%m%d", errors='ignore')
Out[47]: DatetimeIndex(['2085-07-20 23:34:33.709551616', '2015-01-01 00:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26494 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26494/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26494/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26494/events | https://github.com/pandas-dev/pandas/issues/26494 | 447,312,586 | MDU6SXNzdWU0NDczMTI1ODY= | 26,494 | assert_frame_equal with check_like throws exception if frames have repeat indices | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2019-05-22T19:48:59Z | 2019-11-08T00:34:55Z | 2019-11-08T00:34:50Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
a = pandas.DataFrame({'A': [1, 2, 1]}, index=[0, 1, 0])
b = pandas.DataFrame({'A': [1, 1, 2]}, index=[0, 0, 1])
pandas.testing.assert_frame_equal(a, b, check_like=True)
```
#### Problem description
It raises an exception (and with a not helpful ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26495 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26495/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26495/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26495/events | https://github.com/pandas-dev/pandas/issues/26495 | 447,318,813 | MDU6SXNzdWU0NDczMTg4MTM= | 26,495 | Remove StringMixin from code base | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-05-22T20:04:56Z | 2019-05-25T07:33:33Z | 2019-05-24T15:29:33Z | CONTRIBUTOR | null | I`m thinking about making a PR to remove ``StringMixin`` from the code base in order to make pandas use more standard string output methodology (putting the base string representations in the ``__repr__`` , as is standard in python3, instead of in ``__str__``).
Any objections to this? This is backwards compatible f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26496 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26496/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26496/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26496/events | https://github.com/pandas-dev/pandas/pull/26496 | 447,335,194 | MDExOlB1bGxSZXF1ZXN0MjgxMzUzMjQz | 26,496 | DOC: Highlighted role of index alignment in DataFrame.dot(other) (#26… | {
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- [X] closes #26480
- [X] tests passed
Added note highlighting that column names of DataFrame and index of other need to same.
Added example showing that reshuffling of objects does not change which elements are multiplied with which. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26497 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26497/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26497/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26497/events | https://github.com/pandas-dev/pandas/pull/26497 | 447,341,121 | MDExOlB1bGxSZXF1ZXN0MjgxMzU4MDU5 | 26,497 | DOC: Fixed redirects in various parts of the documentation | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26498 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26498/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26498/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26498/events | https://github.com/pandas-dev/pandas/issues/26498 | 447,358,531 | MDU6SXNzdWU0NDczNTg1MzE= | 26,498 | rename doesn't work with mutliindex | {
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] | closed | false | null | [] | null | 2 | 2019-05-22T21:48:52Z | 2019-05-28T15:55:18Z | 2019-05-28T15:55:17Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
mi = pd.MultiIndex.from_product([['A','B'], [0, 1]])
df1 = pd.DataFrame(np.ones((1,4)), columns=mi)
df2 = df1.rename(columns={df1.columns[1]: ('C', 3)})
print(df1)
print(df2)
```
Currently both df1 and df2 are:
```
A ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26499 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26499/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26499/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26499/events | https://github.com/pandas-dev/pandas/pull/26499 | 447,375,067 | MDExOlB1bGxSZXF1ZXN0MjgxMzg1NzU4 | 26,499 | DOC: fix SyntaxError in doc build on Windows | {
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```
>>>-------------------------------------------------------------------------
Exception in C:\Users\simon\OneDrive\code\pandas-simonjayhawkins\doc\source\development\contributing.rst at block ending on line None
Specify :okexcept: as an optio... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26500 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26500/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26500/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26500/events | https://github.com/pandas-dev/pandas/issues/26500 | 447,393,762 | MDU6SXNzdWU0NDczOTM3NjI= | 26,500 | MAINT: port numpy#13188 for np_datetime simplification | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-05-23T00:08:21Z | 2019-05-26T17:57:48Z | 2019-05-26T17:57:48Z | MEMBER | null | our _libs/tslibs/src/np_datetime.c is based off of the numpy version. A recent PR there made a pretty nice simplfication to the relevant code. We should do the same.
https://github.com/numpy/numpy/pull/13188/files | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26501 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26501/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26501/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26501/events | https://github.com/pandas-dev/pandas/issues/26501 | 447,591,987 | MDU6SXNzdWU0NDc1OTE5ODc= | 26,501 | Adding column to filtered dataframe takes longer than copying and then adding | {
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```python
import pandas as pd
import time
def change_df(df):
print(f"columns {df.columns}")
for col in df.columns:
start_time = time.time()
df[col] = df[col].apply(lambda x: int(x))
took = time.time() - start_time
... | {
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```python
import numpy as np
import pandas as pd
print("pandas version: ", pd.__version__)
array = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
array.flags
print("Numpy array is C-contiguous: ", data.flags.c_contiguous)
dataframe = pd.DataFrame(array,... | {
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```python
import pandas as pd
df_trans_items = pd.read_csv('../data/raw/df_transaction_item_201905091747.csv', dtype={'stock_code': str, 'system_reference': str}) #1.5gb
df_trans = pd.read_csv('../data/raw/df_transaction_201905091745.csv', dtype={'system_reference': str, 'trans_reference': str, 'pos_use... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-05-23T15:01:00Z | 2019-06-01T14:51:27Z | 2019-06-01T14:51:27Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
pd.Categorical(["1", "2", "3", None], categories=["1", "2", "3"], ordered=True) <= "2"
# => array([ True, True, False, True])
```
#### Problem description
Here a missing entry is being evaluated as `None <= "2" == True`. ... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-05-23T16:36:03Z | 2019-05-25T07:32:31Z | 2019-05-24T15:29:33Z | CONTRIBUTOR | null | - [x] closes #26495
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Addresses #26495. In addition to the use of StringMixin in PandasObject, StringMixin is also used in core.computation and the io.pytables. I'd like to tackle those in a differen... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26506 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26506/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26506/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26506/events | https://github.com/pandas-dev/pandas/issues/26506 | 447,817,399 | MDU6SXNzdWU0NDc4MTczOTk= | 26,506 | IntervalIndex.get_indexer "method" options are not implemented but documentation implies they are | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-05-23T18:45:44Z | 2019-05-30T01:28:42Z | 2019-05-30T01:28:42Z | CONTRIBUTOR | null | #### Problem description
`IntervalIndex.get_indexer` returns `NotImplementedError` if `method` is any of the ones shown in the docstring and documentation (except for 'method=None'). I understand that they are not implemented yet, but that is not clear from the docstring. It presents the 5 available options as if t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26507 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26507/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26507/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26507/events | https://github.com/pandas-dev/pandas/issues/26507 | 447,970,991 | MDU6SXNzdWU0NDc5NzA5OTE= | 26,507 | Merge fails when the dataframe contains an empty UInt/Int column | {
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] | closed | false | null | [] | null | 2 | 2019-05-24T04:11:51Z | 2019-08-21T16:30:40Z | 2019-08-21T16:30:40Z | NONE | null |
```python
import pandas as pd
import numpy as np
df = pd.DataFrame({'a': [np.nan, np.nan], 'b': [np.nan, 1], 'c': [0,1]}, dtype='Int8')
df['c'] = df.c.astype(int)
df.merge(df, on ='a') # Does not work
df.merge(df, on ='b') # Does not work
df.merge(df, on ='c') # Does not work
df.merge(df, right_index =... | {
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"followers_url": "https://api.github.com/users/jorisva... | 5 | 2019-05-24T08:09:35Z | 2019-05-24T16:39:24Z | 2019-05-24T16:22:37Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df.iloc[:, 0] = df.iloc[:, 0].map(lambda x: x + 1)
```
#### Problem description
The above raises a warning:
```
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
``... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26509 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26509/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26509/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26509/events | https://github.com/pandas-dev/pandas/issues/26509 | 448,184,904 | MDU6SXNzdWU0NDgxODQ5MDQ= | 26,509 | Extremely slow custom function in pandas aggregate | {
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This is a reproducible example of my problem:
```
import numpy as np
import pandas ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26510 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26510/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26510/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26510/events | https://github.com/pandas-dev/pandas/issues/26510 | 448,243,171 | MDU6SXNzdWU0NDgyNDMxNzE= | 26,510 | CLN: modernize describe_categorical_1d | {
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... | 2 | 2019-05-24T15:58:11Z | 2021-07-10T01:48:42Z | 2021-07-10T01:48:42Z | CONTRIBUTOR | null | https://github.com/pandas-dev/pandas/pull/26474/files#diff-03b380f521c43cf003207b0711bac67fL9898
This is very hacky way of processing datetimelikes. Also this likely doesn't properly handle categoricals that have other things as categories (Timedelta, Extension scalars) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26511 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26511/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26511/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26511/events | https://github.com/pandas-dev/pandas/issues/26511 | 448,272,420 | MDU6SXNzdWU0NDgyNzI0MjA= | 26,511 | Inconsistent behaviour of __getitem__ and .loc with slices for DataFrames with MultiIndex columns | {
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... | 11 | 2019-05-24T17:15:48Z | 2021-07-10T01:50:52Z | null | CONTRIBUTOR | null | #### Code Sample
```python
import numpy as np
import pandas as pd
data = np.zeros((3, 6), dtype=np.int16)
col_index = pd.MultiIndex.from_product([['A', 'B', 'C'], ['t1', 't2']])
df = pd.DataFrame(data, columns=col_index)
```
```python
>>> df
A B C
t1 t2 t1 t2 t1 t2
0 0 0 0 0 0 0
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26512 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26512/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26512/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26512/events | https://github.com/pandas-dev/pandas/issues/26512 | 448,321,151 | MDU6SXNzdWU0NDgzMjExNTE= | 26,512 | Allow Keyword aggregation in SeriesGroupBy | {
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```python
In [1]: df = pd.DataFrame({'A': [1, 1, 1, 2, 2],
...: 'B': range(5),
...: 'C': range(5)})
In [2]: df
Out[2]:
A ... | {
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