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https://api.github.com/repos/pandas-dev/pandas/issues/20611 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20611/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20611/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20611/events | https://github.com/pandas-dev/pandas/pull/20611 | 311,309,612 | MDExOlB1bGxSZXF1ZXN0MTc5NDUwODY4 | 20,611 | REF: IntervalIndex[IntervalArray] | {
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Closes #19209
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What hooks do we want to provide for ExtensionArrays stored inside our containers?
Currently, to_csv works. Haven't really tried others
- pickle
- msgpack
- parquet
- HDF5
- json
xref https://github.com/pandas-dev/pandas/pull/20611/files | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20613 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20613/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20613/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20613/events | https://github.com/pandas-dev/pandas/pull/20613 | 311,461,033 | MDExOlB1bGxSZXF1ZXN0MTc5NTY0Mjg1 | 20,613 | Stop concat from attempting to sort mismatched columns by default | {
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least astonishment principle.
Allow old behavior to be enabled by adding a boolean switch to
concat and DataFrame.append, mismatch_sort, which is by default disabled.
- [x] Close #4588
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20614 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20614/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20614/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20614/events | https://github.com/pandas-dev/pandas/issues/20614 | 311,482,891 | MDU6SXNzdWUzMTE0ODI4OTE= | 20,614 | Unexpected nan dtype changes when using DataFrame.replace | {
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```
import numpy as np
import pandas as pd
from time import time
def timer(f):
def wrapper(*arg, **karg):
t_avg = []
for i in range(10):
t = time()
ret = f(*arg, **karg)
t = time() - t
t_avg.append(t)
t_avg = np.average(t_avg)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20615 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20615/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20615/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20615/events | https://github.com/pandas-dev/pandas/pull/20615 | 311,589,816 | MDExOlB1bGxSZXF1ZXN0MTc5NjYwNDc5 | 20,615 | BUG: Avoid splitting string with list() (#20592) | {
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refers to a `console_encoding` util that encodes the current string into the appropriate encoding for the platform or display environment. This util does not exist however | {
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... | 4 | 2018-04-05T15:48:04Z | 2021-06-07T21:30:49Z | 2021-06-07T21:30:49Z | CONTRIBUTOR | null | Some (many?) extension array *scalar* types will have a corresponding *container* type. For example, `IPArray` defines `isin` to match the standard library's behavior where an address can be in a network.
https://github.com/ContinuumIO/cyberpandas/blob/054d3a37fe84a8d222795c31bbf99ef34be90fbf/cyberpandas/ip_array.p... | {
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Running the tests for pandas fail if **moto** is not installed. I tried finding a way to avoid tests that require it, but its imported in the conftests.py
```
pandas/tests/io/conftest.py", line 3, in <module>
E import moto
```
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```python
import datetime
import pandas as pd
series = pd.Series(
list(range(8760)),
index=pd.date_range('2018/01/01', periods=8760, freq='H', tz='Europe/Berlin')
)
# trying to drop first day
series = series.drop(
series.index[series.inde... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20621 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20621/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20621/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20621/events | https://github.com/pandas-dev/pandas/pull/20621 | 311,999,769 | MDExOlB1bGxSZXF1ZXN0MTc5OTY2NTQy | 20,621 | changes | {
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an unrelated PR):
- [ ] PR title is "DOC: update the <your-function-or-method> docstring"
- [ ] The validation script passes: `scripts/validate_docstrings.py <your-function-or-method>`
- [ ] The PEP8 style check passes: `git diff upstream... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20622 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20622/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20622/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20622/events | https://github.com/pandas-dev/pandas/issues/20622 | 312,011,624 | MDU6SXNzdWUzMTIwMTE2MjQ= | 20,622 | ValueError: The truth value of an array with more than one element is ambiguous. | {
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```python
if (self.index_label and
isinstance(self.index_label, (list, tuple, np.ndarray,
Index))):
```
#### Problem description
self.index_label can be an array, list, Index or tuple, but boolean values of arrays are ambiguou... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20623 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20623/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20623/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20623/events | https://github.com/pandas-dev/pandas/pull/20623 | 312,012,472 | MDExOlB1bGxSZXF1ZXN0MTc5OTc2MTEz | 20,623 | BUG: excel index label can be an array | {
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] | closed | false | null | [] | null | 5 | 2018-04-06T15:09:03Z | 2018-09-25T15:43:47Z | 2018-09-25T15:43:47Z | NONE | null | Fixes "ValueError: The truth value of an array with more than one element is ambiguous." where self.index_label could be a list, tuple np.ndarray, or Index type
closes #20622 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20624 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20624/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20624/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20624/events | https://github.com/pandas-dev/pandas/pull/20624 | 312,042,776 | MDExOlB1bGxSZXF1ZXN0MTc5OTk4NjAx | 20,624 | TST: Parametrized index tests | {
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"closed_at": "2018-05-16T03:09:58Z",
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"followers_url": "https://api.github.com/users/j... | 6 | 2018-04-06T16:41:31Z | 2018-04-24T15:44:54Z | 2018-04-24T10:12:29Z | MEMBER | null | I came across this module on another change and noticed that a lot of the tests could really use refactoring. There's a ton more to be done with this module but submitting as is so it doesn't get too large.
Can either add other commits on top of this or have this merged (assuming looks OK) and continue down the modu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20625 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20625/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20625/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20625/events | https://github.com/pandas-dev/pandas/issues/20625 | 312,070,166 | MDU6SXNzdWUzMTIwNzAxNjY= | 20,625 | dataframe.appy behavior changed between 0.20.0 and 0.20.3 | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2018-04-06T18:17:36Z | 2018-04-09T15:28:53Z | 2018-04-09T15:18:19Z | NONE | null | ```python
import pandas as pd
from pyspark.ml.linalg import Vectors
df = pd.DataFrame({'A': [1,2,3,4],
'B': [1,2,3,4],
'C': [1,2,3,4],
'D': [1,2,3,4]},
index=[0, 1, 2, 3])
df.apply(lambda x: pd.Series(Vectors.dense([x["A"], x["B"]])... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20626 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20626/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20626/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20626/events | https://github.com/pandas-dev/pandas/issues/20626 | 312,160,473 | MDU6SXNzdWUzMTIxNjA0NzM= | 20,626 | Segfault calling ohlc on column-wise groupby | {
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... | 4 | 2018-04-07T01:39:57Z | 2019-06-12T21:03:54Z | 2019-06-12T21:03:53Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
y = pd.DataFrame([1,2])
y.groupby(y.columns, axis=1).ohlc()
```
causes
```
Segmentation fault: 11
```
#### Problem description
Calling ohlc after column-wise groupby on a dataframe with more than one row causes a segfault.
#### Expected... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20627 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20627/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20627/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20627/events | https://github.com/pandas-dev/pandas/issues/20627 | 312,181,907 | MDU6SXNzdWUzMTIxODE5MDc= | 20,627 | Modifying dataframe with float values using .iloc and boolean indexing raises ValueError | {
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"closed_at": "2020-07-28T18:13:47Z",
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"created_at": "2019-12-02T12:52:48Z",
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"followers_url": "https://api.github.com/users/j... | 4 | 2018-04-07T07:37:18Z | 2020-06-13T19:58:21Z | 2020-06-13T19:58:21Z | NONE | null | There seems to be inconsistent behavior between updating parts of a dataframe using `.iloc` depending on whether the index is accessed using an integer list or a boolean array. This does not seem to happen if all dataframe values are integer (but still happens if `np.nan` is replaced by `7.0`). Example:
#### Code Sa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20628 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20628/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20628/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20628/events | https://github.com/pandas-dev/pandas/pull/20628 | 312,224,232 | MDExOlB1bGxSZXF1ZXN0MTgwMTE0NzM0 | 20,628 | DOC: update the pandas.Series.str.strip docstring | {
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] | closed | false | null | [] | null | 3 | 2018-04-07T17:01:36Z | 2018-07-07T22:14:38Z | 2018-07-07T22:14:37Z | CONTRIBUTOR | null | Checklist for the pandas documentation sprint (ignore this if you are doing
an unrelated PR):
- [x] PR title is "DOC: update the <your-function-or-method> docstring"
- [x] The validation script passes: `scripts/validate_docstrings.py <your-function-or-method>`
- [x] The PEP8 style check passes: `git diff upstream... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20629 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20629/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20629/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20629/events | https://github.com/pandas-dev/pandas/issues/20629 | 312,225,961 | MDU6SXNzdWUzMTIyMjU5NjE= | 20,629 | Series.at and DataFrame.at crash with CategoricalIndex | {
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```python
Python 3.6.3 (default, Oct 3 2017, 21:45:48)
[GCC 7.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
>>> x = pd.Series([1, 2, 3], index=pd.CategoricalIndex(["A", "B", "C"]))
>>> x.loc["... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20630 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20630/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20630/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20630/events | https://github.com/pandas-dev/pandas/pull/20630 | 312,229,236 | MDExOlB1bGxSZXF1ZXN0MTgwMTE3NDgy | 20,630 | DOC: Updated the docstring of pandas.Series.str.get | {
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] | closed | false | null | [] | null | 2 | 2018-04-07T18:06:51Z | 2018-04-24T04:36:26Z | 2018-04-12T13:15:03Z | CONTRIBUTOR | null | Checklist for the pandas documentation sprint (ignore this if you are doing
an unrelated PR):
- [x] PR title is "DOC: update the <your-function-or-method> docstring"
- [x] The validation script passes: `scripts/validate_docstrings.py <your-function-or-method>`
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https://api.github.com/repos/pandas-dev/pandas/issues/20631 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20631/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20631/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20631/events | https://github.com/pandas-dev/pandas/issues/20631 | 312,253,741 | MDU6SXNzdWUzMTIyNTM3NDE= | 20,631 | Option to warn when dropping NAs | {
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```
import pandas as pd
import numpy as np
pd.Series([1.0, np.nan]).sum()
```
gives
```
1.0
```
This is dangerous behavior in data analysis. Users often do want to drop NA values, and having to specify `dropna=True` manually may be annoying, but dropping NAs is fraught.
Could this... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20632 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20632/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20632/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20632/events | https://github.com/pandas-dev/pandas/pull/20632 | 312,261,010 | MDExOlB1bGxSZXF1ZXN0MTgwMTM0MDUx | 20,632 | DOC: clean io.rst codeblocks for PEP8 | {
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an unrelated PR):
- [x] PR title is "DOC: update the <your-function-or-method> docstring"
- [ ] The validation script passes: `scripts/validate_docstrings.py <your-function-or-method>`
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https://api.github.com/repos/pandas-dev/pandas/issues/20633 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20633/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20633/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20633/events | https://github.com/pandas-dev/pandas/issues/20633 | 312,262,658 | MDU6SXNzdWUzMTIyNjI2NTg= | 20,633 | API: offsets.Day should be one calendar day instead of 24 hours | {
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... | 12 | 2018-04-08T02:05:56Z | 2018-09-12T18:39:55Z | 2018-09-09T04:55:49Z | MEMBER | null | xref issues
- [ ] #20596
- [ ] #16980
- [ ] #8774
As I understand the offset classes, they are supposed to respect transitions in "wall time" instead of absolute time. Currently the `Day` offset is currently defined to be 24 hours instead of 1 calendar day which is problematic to respect "wall time" wrt DST tr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20634 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20634/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20634/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20634/events | https://github.com/pandas-dev/pandas/pull/20634 | 312,294,235 | MDExOlB1bGxSZXF1ZXN0MTgwMTUyODI2 | 20,634 | update the pandas.Series.str.repeat docstring | {
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an unrelated PR):
- [x] PR title is "DOC: update the <your-function-or-method> docstring"
- [x] The validation script passes: `scripts/validate_docstrings.py <your-function-or-method>`
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https://api.github.com/repos/pandas-dev/pandas/issues/20635 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20635/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20635/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20635/events | https://github.com/pandas-dev/pandas/issues/20635 | 312,295,205 | MDU6SXNzdWUzMTIyOTUyMDU= | 20,635 | BUG: indexing with loc and iloc with list-likes and new dtypes do not change from object dtype | {
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... | 2 | 2018-04-08T10:51:42Z | 2019-10-21T19:52:18Z | null | NONE | null | ```python
df = pd.DataFrame({'A': ['a', 'b'], 'B': ['1', '2'], 'C': ['3', '4']})
df.loc[:, ['B', 'C']] = df.loc[:, ['B', 'C']].astype('int')
df.dtypes
```
```
A object
B object
C object
dtype: object
```
When I try to update multiple object columns with loc/iloc, the values in the columns ch... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20636 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20636/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20636/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20636/events | https://github.com/pandas-dev/pandas/issues/20636 | 312,298,737 | MDU6SXNzdWUzMTIyOTg3Mzc= | 20,636 | BUG: indexing in datetime IntervalIndex with duplicate values fails | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 4 | 2018-04-08T11:45:22Z | 2018-10-07T22:35:36Z | 2018-10-07T22:35:36Z | NONE | null | #### Code Sample
```python
import pandas as pd
start_end_idx = pd.IntervalIndex.from_arrays(start, end)
start_end_idx.name = 'port_time'
mm = mm.set_index(['imo','port_id', start_end_idx])
global_bins = mm.index
global_bins.get_loc((8801527, 5610.0, pd.to_datetime('2016-10-16 16:57:44.316')))
```
```
/anacond... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20637 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20637/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20637/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20637/events | https://github.com/pandas-dev/pandas/pull/20637 | 312,324,756 | MDExOlB1bGxSZXF1ZXN0MTgwMTcxMTU5 | 20,637 | Save the name of undefined variables in expressions. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20638 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20638/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20638/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20638/events | https://github.com/pandas-dev/pandas/issues/20638 | 312,353,450 | MDU6SXNzdWUzMTIzNTM0NTA= | 20,638 | Appending parquet file from pandas to s3 | {
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"g... | [] | closed | false | null | [] | null | 3 | 2018-04-08T23:43:34Z | 2018-05-04T22:48:26Z | 2018-04-09T00:53:50Z | NONE | null | #### Here is my snippet in spark-shell
```python
jdbcDF.write.mode("append").partitionBy("date").parquet("s3://bucket/Data/")
```
#### Problem description
Now, i am trying to do the same thing in pandas. I see pandas supports `to_parquet` without any issue, however, as per this #19429, writing in s3 is not s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20639 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20639/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20639/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20639/events | https://github.com/pandas-dev/pandas/issues/20639 | 312,355,170 | MDU6SXNzdWUzMTIzNTUxNzA= | 20,639 | Will inplace save memory by avoiding x2? | {
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```
df.drop('col', inplace=True, axis=1)
```
or
```
df = df.drop('col', axis=1)
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20640 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20640/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20640/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20640/events | https://github.com/pandas-dev/pandas/issues/20640 | 312,428,775 | MDU6SXNzdWUzMTI0Mjg3NzU= | 20,640 | API: take interface for (Extension)Array-likes | {
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- `ExtensionArray.take` currently uses the "internal pandas"-like behaviour for take: `-1` is an indicato... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20642 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20642/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20642/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20642/events | https://github.com/pandas-dev/pandas/issues/20642 | 312,667,441 | MDU6SXNzdWUzMTI2Njc0NDE= | 20,642 | weird NaN in mean() of float16 series | {
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"color": "009... | closed | false | null | [] | {
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```
tdata.time_sin
110405276 -0.183105
175560878 -0.301270
...
130331292 -0.158813
6782127 -0.282471
Name: time_sin, Length: 18490389, dtype: float16
```
There's no NaN values, everything's a sinus of s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20643 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20643/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20643/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20643/events | https://github.com/pandas-dev/pandas/issues/20643 | 312,730,192 | MDU6SXNzdWUzMTI3MzAxOTI= | 20,643 | BUG: .at/.iat and Series.__setitem__ do not upcast int to float | {
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"de... | open | false | null | [] | null | 5 | 2018-04-10T00:11:56Z | 2021-06-19T17:59:03Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
`Series.at` doesn't upcast to float:
```python
In [2]: s = pd.Series([0, 1, 2], index=list('abc'))
In [3]: s.at['b'] = 2.7
In [4]: s
Out[4]:
a 0
b 2
c 2
dtype: int64
```
`Series.iat` doesn't upcast to float:
```python
In [5]: s = pd.Series... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20644 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20644/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20644/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20644/events | https://github.com/pandas-dev/pandas/pull/20644 | 312,761,455 | MDExOlB1bGxSZXF1ZXN0MTgwNDgxNDIx | 20,644 | added check if categoricalDtype for issue #19278 | {
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"description"... | closed | false | null | [] | null | 4 | 2018-04-10T03:35:57Z | 2018-10-11T01:51:53Z | 2018-10-11T01:51:53Z | NONE | null | Checklist for other PRs:
- [x] closes #19278
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-04-10T04:39:02Z | 2018-04-10T05:54:17Z | 2018-04-10T05:54:14Z | MEMBER | null | Closes #20616
Nice to finally get back to some `pandas` work! | {
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"de... | closed | false | null | [] | null | 4 | 2018-04-10T05:17:33Z | 2018-09-25T15:44:17Z | 2018-09-25T15:44:17Z | NONE | null | Example Input DataFrame -
```
import pandas as pd
x = pd.DataFrame([[0, 1], [2, 3]], columns=[list('AB'), list('CD')])
"""
A B
C D
0 0 1
1 2 3
"""
x.melt(col_level=1, id_vars=['C'], value_vars=['D'])
```
Current Output -
```
KeyError: 'C'
```
Desired Output -
```
C variable value
... | {
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"closed_at": "2020-07-28T18:13:47Z",
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"followers_url": "https://api.github.com/users/j... | 11 | 2018-04-10T07:32:12Z | 2020-07-14T17:08:45Z | 2020-07-14T17:08:45Z | MEMBER | null | What is `center=True` supposed to do in `df.expanding()...` operations?
Using the example from the docstring of `.expanding()`:
```
In [103]: df = DataFrame({'B': [0, 1, 2, np.nan, 4]})
In [105]: df.expanding(2).sum()
Out[105]:
B
0 NaN
1 1.0
2 3.0
3 3.0
4 7.0
```
Now adding `center=True`... | {
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"closed_at": "2019-01-26T00:51:26Z",
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"followers_url": "https://api.github... | 9 | 2018-04-10T11:50:11Z | 2018-11-20T02:26:26Z | 2018-11-16T12:21:15Z | MEMBER | null | The rpy2 examples in the documentation started failing recently (http://pandas-docs.github.io/pandas-docs-travis/r_interface.html) with:
```
In [1]: from rpy2.robjects import r, pandas2ri
---------------------------------------------------------------------------
ImportError Tracebac... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20649 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20649/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20649/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20649/events | https://github.com/pandas-dev/pandas/issues/20649 | 313,102,805 | MDU6SXNzdWUzMTMxMDI4MDU= | 20,649 | pandas.DataFrame.rolling produces incorrect value if integer and float objects are mixed | {
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"description": "rolling, ewma, expanding... | closed | false | null | [] | {
"closed_at": "2020-12-26T13:57:50Z",
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```python
import pandas as pd
# Generate square dataframe of ones
df = pd.DataFrame(1, index=[1,2,3,4,5], columns=['a','b','c','d','e'])
# Make last column a series of type "float" instead of type "int"
df['e'] = 1.0
# Compute rolling sum across rows
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https://api.github.com/repos/pandas-dev/pandas/issues/20650 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20650/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20650/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20650/events | https://github.com/pandas-dev/pandas/issues/20650 | 313,121,301 | MDU6SXNzdWUzMTMxMjEzMDE= | 20,650 | Bug: boxplot fails if grouped by more than one column | {
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] | closed | false | null | [] | null | 2 | 2018-04-10T23:16:27Z | 2018-08-17T13:08:55Z | 2018-08-17T13:08:55Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({'A':[0,1,1,2],'B':[2,2,4,5],'C':[3,4,7,9]})
df.boxplot(column='C',by=('A','B'))
```
#### Problem description
When running the sample code above, boxplot fails when trying to add the suptitle. I have tried updating pandas, but the... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20651 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20651/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20651/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20651/events | https://github.com/pandas-dev/pandas/pull/20651 | 313,139,164 | MDExOlB1bGxSZXF1ZXN0MTgwNzY1ODM3 | 20,651 | BUG: Add uint64 support to IntervalTree | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Note that this doesn't fully close the linked issue; this just resolves the `uint64` case, which was relatively s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20652 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20652/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20652/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20652/events | https://github.com/pandas-dev/pandas/issues/20652 | 313,151,437 | MDU6SXNzdWUzMTMxNTE0Mzc= | 20,652 | DataFrame.asof() fails when some columns are NaN | {
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"followers_url": "https://api.github... | 5 | 2018-04-11T02:26:05Z | 2018-11-04T15:01:16Z | 2018-11-04T15:01:16Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
data = """dt,a,b
2018-02-27 09:01:00,-0.00034052907999999996,
2018-02-27 09:02:00,-0.00019981724999999998,
2018-02-27 09:03:00,-0.0009561605,
2018-02-27 09:04:00,-0.0005727226999999999,
2018-02-27 0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20653 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20653/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20653/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20653/events | https://github.com/pandas-dev/pandas/issues/20653 | 313,160,271 | MDU6SXNzdWUzMTMxNjAyNzE= | 20,653 | Transform with np.any / np.all and NA in Group Raises | {
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In [17]: df = pd.DataFrame([['foo', True],
...: [np.nan, True],
...: ['foo', True]], columns=['key', 'val'])
In [13]: df.groupby('key')['val'].transform('any')
Out[13]:
0 True
1 NaN
2 ... | {
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```python
>>> pd.DataFrame(pd.DataFrame())
Empty DataFrame
Columns: []
Index: []
>>> pd.DataFrame([], dtype='object')
Empty DataFrame
Columns: []
Index: []
>>> pd.DataFrame(pd.DataFrame(), dtype='object')
Traceback (most recent call last):
File "<ipython-input-62-36914d1cfa60>", line 1, in... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
I believe this can be added to the whitelist of Cython functions as a result of #19722. I did similar changes with other agg funcs and will review separately to see if we should... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20656 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20656/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20656/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20656/events | https://github.com/pandas-dev/pandas/issues/20656 | 313,305,504 | MDU6SXNzdWUzMTMzMDU1MDQ= | 20,656 | DataFrame.replace with dict behaves inconsistently for integers and strings | {
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"followers_url": "https://api.github... | 5 | 2018-04-11T12:38:57Z | 2018-08-09T10:51:54Z | 2018-08-09T10:51:54Z | NONE | null | From [SO](https://stackoverflow.com/q/49775130/4909087)
DataFrame.replace does not behave consistently when replacing integers vs replacing strings.
Reproducible example:
```
df = pd.DataFrame({'A': [0, 1]})
df.A.replace({0: 1, 1: 0})
```
This yields the result:
````
df
A
1
0
````
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#### Example:
```
df = pd.DataFrame([[179293473,'2016-06-01 00:00:03.549745','http://www.dr.dk/nyheder/',39169523],[179293473,'2016-06-01 00:04:22.346018','https://www.information.dk/indland/2016/05/hvert-tredje-offer-naar-anmelde-voldtaegt-tide', 39125224],
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https://api.github.com/repos/pandas-dev/pandas/issues/20658 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20658/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20658/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20658/events | https://github.com/pandas-dev/pandas/issues/20658 | 313,357,505 | MDU6SXNzdWUzMTMzNTc1MDU= | 20,658 | Confusing API for constructing Series from DataFrame | {
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1. I k... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20659 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20659/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20659/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20659/events | https://github.com/pandas-dev/pandas/issues/20659 | 313,432,185 | MDU6SXNzdWUzMTM0MzIxODU= | 20,659 | ExtensionArray support for comparisons to fundamental types and lists of those types | {
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"followers_url": "https://api.github... | 9 | 2018-04-11T18:11:49Z | 2018-07-02T12:12:57Z | 2018-06-29T13:59:10Z | CONTRIBUTOR | null | This is probably for @TomAugspurger to look at.
I am trying out an idea that uses the new `ExtensionArray` capability that is in master. What I would like to do is override the relational operators `__le__`, `__ge__`, etc. I'm following the cyberpandas example that @TomAugspurger published.
Using cyberpandas, I ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20660 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20660/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20660/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20660/events | https://github.com/pandas-dev/pandas/issues/20660 | 313,492,124 | MDU6SXNzdWUzMTM0OTIxMjQ= | 20,660 | DataFrame.groupby.sum() is extremely slow when dtype is timedelta64[ns] compared to int64. | {
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... | 10 | 2018-04-11T21:18:59Z | 2021-06-19T18:02:30Z | null | NONE | null | #### Steps to demonstrate
```python
import numpy as np
import pandas as pd
td = pd.DataFrame(np.random.randint(1000000, 100000000, (10000,100)), index=np.random.randint(200, size=(10000,))).astype('timedelta64[ns]')
i = td.copy(deep=True).astype('int64')
%time temp1 = td.groupby(lambda x: x).sum() # 2.33 s
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https://api.github.com/repos/pandas-dev/pandas/issues/20661 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20661/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20661/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20661/events | https://github.com/pandas-dev/pandas/issues/20661 | 313,508,863 | MDU6SXNzdWUzMTM1MDg4NjM= | 20,661 | Series.is_unique has errors on objects with __ne__ defined | {
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```python
In [2]: import pandas as pd
...:
...: class Foo(object):
...: def __init__(self, val):
...: self._value = val
...:
...: def __ne__(self, other):
...: raise Exception("NEQ not supported")
...:
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https://api.github.com/repos/pandas-dev/pandas/issues/20662 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20662/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20662/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20662/events | https://github.com/pandas-dev/pandas/pull/20662 | 313,609,298 | MDExOlB1bGxSZXF1ZXN0MTgxMTEzODgx | 20,662 | Fix test__get_dtype test expecting little-endian | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-04-12T07:35:07Z | 2018-04-14T13:49:08Z | 2018-04-14T13:22:47Z | CONTRIBUTOR | null | Similar to #14832, use = (native) instead of < (little-endian)
- [ ] closes #xxxx
- [ ] 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/20663 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20663/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20663/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20663/events | https://github.com/pandas-dev/pandas/issues/20663 | 313,639,027 | MDU6SXNzdWUzMTM2MzkwMjc= | 20,663 | read_excel sheet_name does not read the correct sheet | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-04-12T09:08:16Z | 2018-04-12T12:07:11Z | 2018-04-12T10:01:37Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
#!/usr/bin/python
#
# $Id: excel_query.py 239 2018-04-11 15:59:38Z alistair $
#
# This script reads a spreadsheet, opens a database, appends the spreadsheet content to the database
#
# https://pandas.pydata.org/pandas-docs/stable/io.html#engine-connect... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20664 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20664/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20664/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20664/events | https://github.com/pandas-dev/pandas/issues/20664 | 313,656,276 | MDU6SXNzdWUzMTM2NTYyNzY= | 20,664 | BUG: Categorical.take and Series([Categorical]).take is inconsistent with other dtypes | {
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`Categorical.take` does not do any bounds checking, so produces wrong results:
```
In [9]: cat = pd.Categorical(['a', 'b', 'a'])
In [12]: cat.take([3])
Out[12]:
[0] # <----... | {
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... | 0 | 2018-04-12T11:41:08Z | 2021-06-19T18:03:29Z | null | CONTRIBUTOR | null | xref #3599. Should prob not do this kind of inference.
```
In [83]: df1 = DataFrame([{"val1": 1, "val2" : 20}, {"val1":1, "val2": 19},
...: {"val1":2, "val2": 27}, {"val1":2, "val2": 12}])
...:
In [84]: df2 = DataFrame([{"val1": 1, "val2" : 20}, {"val1":1, "val2": 19... | {
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```bash
root@9b34418ce20d:/# /opt/pypyenv/bin/pip install pandas
Looking in indexes: https://devpi.myindex/root/myindex/+simple/
Collecting pandas
Downloading https://devpi.myindex/root/pypi/+f/c7a/2757b60774825/pandas-0.22.0.tar.gz (11.3MB)
100% |####... | {
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an unrelated PR):
- [x] PR title is "DOC: update the <your-function-or-method> docstring"
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- [ ] The validation script passes: `scripts/validate_docstrings.py <your-function-or-method>`
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- [x] tests added / passed
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*This is only partial solution to issue #19560.
*There were some errors with the tests, but I guess they are unrelated to these changes since I also
have them with master.
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```python
>>> s = pandas.Series([{0: 'a', 1: 'b'}])
>>> s
0 {0: 'a', 1: 'b'}
dtype: object
>>> s.str.get(-1)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/mgarcia/.anaconda3/lib/python3.6/site-packages/pandas/co... | {
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- [X] tests added / passed (* unrelated tests failed, with locale problems, not sure if caused by something on my system or something on pandas)
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"default"... | open | false | null | [] | null | 1 | 2018-04-12T22:55:06Z | 2018-04-15T19:53:04Z | null | NONE | null | If in `pd.read_hdf(..., columns=['col_name], ...)` we have only one column, then it would be much faster to use `store.select_column()` instead of `store.column()`.
https://github.com/pandas-dev/pandas/blob/fa231e8766e02610ae5a45e4b2bc90b6c7e9ee6f/pandas/io/pytables.py#L368
Any caveats on implementing this? | {
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```python
import pandas as pd
pd.isnull([np.NaN, 'world'])
# returns:
# array([False, False], dtype=bool)
```
#### Problem description
The output of `pd.isnull`/`pd.isna` on lists depends on the inferred dtype of the numpy conversion.
In cases where t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20676 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20676/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20676/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20676/events | https://github.com/pandas-dev/pandas/issues/20676 | 313,941,053 | MDU6SXNzdWUzMTM5NDEwNTM= | 20,676 | pd.Series.equals() fails for Series containing iterable objects | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2018-04-13T01:38:28Z | 2020-07-13T16:36:11Z | 2020-07-13T16:36:11Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
pd.Series(
[np.array([1, 2]), np.array([1, 2])]
).equals(pd.Series(
[np.array([1, 2]), np.array([1, 2])]
))
# Evaluates to False
```
#### Problem description
For objects that overload equality with elementwise equality (this include... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20677 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20677/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20677/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20677/events | https://github.com/pandas-dev/pandas/pull/20677 | 313,983,810 | MDExOlB1bGxSZXF1ZXN0MTgxMzk2OTIz | 20,677 | BUG: fixes indexing with monotonic decreasing DTI (#19362) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Seems that #19362 is caused by the fact that `np.any([0])` is false. Here's a suggested solution. Also added a test. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20678 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20678/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20678/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20678/events | https://github.com/pandas-dev/pandas/issues/20678 | 313,991,959 | MDU6SXNzdWUzMTM5OTE5NTk= | 20,678 | BUG: freq setter for DatetimeIndex/TimedeltaIndex/PeriodIndex is poorly supported | {
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```python-traceback
In [1]: import pandas as pd
In [2]: dti = pd.DatetimeIndex(['20170101', '20170102', '20170103'])
In [3]: dti
Out[3]: DatetimeIndex(['2017-01-01', '2017-01-02', '2017-01-03'], dtype='dat... | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-04-13T07:45:51Z | 2018-04-13T11:40:11Z | 2018-04-13T11:36:26Z | NONE | null | Official documentation states that:
> Warning This is a very new feature of pandas. We intend to provide certain optimizations in the io of the msgpack data. Since this is marked as an EXPERIMENTAL LIBRARY, the storage format may not be stable until a future release.
Since msgpack is around for a while now and ne... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20680 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20680/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20680/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20680/events | https://github.com/pandas-dev/pandas/issues/20680 | 314,021,875 | MDU6SXNzdWUzMTQwMjE4NzU= | 20,680 | Inconsistent behaviour for DataFrames with no columns | {
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```python
import pandas as pd
df1 = pd.DataFrame(index=range(5), columns=['c1'])
df2 = pd.DataFrame(index=range(5))
df1.loc[6] = np.nan
df1.loc[7] = [8]*df1.shape[1]
df2.loc[6] = np.nan # Raises ValueError: cannot set a frame with no defined columns
df2.loc[7] = [8]*df2.shape[1] # Raise... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20681 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20681/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20681/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20681/events | https://github.com/pandas-dev/pandas/pull/20681 | 314,036,528 | MDExOlB1bGxSZXF1ZXN0MTgxNDM0NzU0 | 20,681 | BUG: Fix problems in group rank when both nans and infinity are present #20561 | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2018-04-13T09:35:40Z | 2018-05-09T10:22:30Z | 2018-04-21T18:23:55Z | CONTRIBUTOR | null | Please include the output of the validation script below between the "```" ticks:
```
################################################################################
############# Docstring (pandas._libs.groupby.group_rank_float64) #############
################################################################... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20682 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20682/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20682/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20682/events | https://github.com/pandas-dev/pandas/issues/20682 | 314,051,899 | MDU6SXNzdWUzMTQwNTE4OTk= | 20,682 | astype(str) does not cast to string when using future package in Python2.7 | {
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... | 2 | 2018-04-13T10:21:48Z | 2019-10-11T05:02:59Z | 2019-10-11T05:02:58Z | CONTRIBUTOR | null | *Note: This issue only occurs in Python 2, and does not occur in Python 3.*
#### Problem description
```python
import pandas as pd
ser = pd.Series([1,7,3])
ser.astype(str).map(type)
```
returns (correctly):
```
0 <type 'str'>
1 <type 'str'>
2 <type 'str'>
dtype: object
```
However, when impor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20683 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20683/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20683/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20683/events | https://github.com/pandas-dev/pandas/pull/20683 | 314,069,543 | MDExOlB1bGxSZXF1ZXN0MTgxNDU5NTg5 | 20,683 | Update README.md | {
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Checklist for the pandas documentation sprint (ignore this if you are doing
an unrelated PR):
- [x] PR title is "DOC: update the <your-function-or-method> docstring"
- [ ] The validation script passes: `scripts/validate_docstrings.py <your-function-or-method>`
- [ ] The... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20684 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20684/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20684/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20684/events | https://github.com/pandas-dev/pandas/issues/20684 | 314,074,046 | MDU6SXNzdWUzMTQwNzQwNDY= | 20,684 | loc misbehaves when Period is at start of 3-level MultiIndex | {
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```python
>>> pbc = pd.DataFrame({ 'p': [pd.Period('2017')], 'b':['b1'], 'c': ['c1'], 'v': [1]}).set_index(['p','b','c'])
>>> pbc.loc[(pd.Period('2017'), 'b1', 'c1'), 'v']
b c
b1 c1 1
Name: v, dtype: int64
>>> pbc.loc[(pd.Period('2017'), 'wibble', 'c1'), 'v']
b c
b1 c1 1
Name: v... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20685 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20685/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20685/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20685/events | https://github.com/pandas-dev/pandas/issues/20685 | 314,076,005 | MDU6SXNzdWUzMTQwNzYwMDU= | 20,685 | BUG: no tables found in test_html spam test | {
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{
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"default": false,
"description": "read_html, to_html, Styler.apply, Styler.applymap",
"id": 57395487,
"name": "IO HTML",
"node_id": "MDU6TGFiZWw1NzM5NTQ4Nw==",
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-04-13T11:47:02Z | 2018-04-13T17:14:00Z | 2018-04-13T17:13:50Z | CONTRIBUTOR | null | ```
(pandas) bash-3.2$ pytest pandas/tests/io/test_html.py -k spam_url --pdb -v
========================================================================================================================= test session starts ===============================================================================================... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20686 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20686/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20686/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20686/events | https://github.com/pandas-dev/pandas/issues/20686 | 314,102,953 | MDU6SXNzdWUzMTQxMDI5NTM= | 20,686 | merge error on Categorical column | {
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```python
import pandas as pd
import numpy as np
df = pd.DataFrame({'a': np.random.randint(0, 100, 10)})
df['b'] = pd.cut(df['a'], np.arange(0, 110, 10))
pd.merge(df, df, on='b')
```
#### Problem description
pd.merge(df, df, on='b')
Out:
a_x b a_y
0 66 (60, 70] 66
1 66 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20687 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20687/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20687/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20687/events | https://github.com/pandas-dev/pandas/pull/20687 | 314,129,156 | MDExOlB1bGxSZXF1ZXN0MTgxNTA0NDg4 | 20,687 | README.md | {
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- [ ] closes #xxxx
- [ ] 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/20688 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20688/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20688/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20688/events | https://github.com/pandas-dev/pandas/issues/20688 | 314,166,094 | MDU6SXNzdWUzMTQxNjYwOTQ= | 20,688 | Dates being wrongly plotted at start of month | {
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"id": 241332... | open | false | null | [] | null | 7 | 2018-04-13T16:07:38Z | 2021-04-30T05:34:26Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import matplotlib.pyplot as plt
s = pd.Series({
'2018-04-30': 0,
'2018-05-31': 1,
'2018-06-30': 0,
'2018-07-31': 1,
'2018-08-31': 0,
'2018-09-30': 1,
})
s.index = pd.to_dateti... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20689 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20689/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20689/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20689/events | https://github.com/pandas-dev/pandas/pull/20689 | 314,174,189 | MDExOlB1bGxSZXF1ZXN0MTgxNTM4MzYw | 20,689 | Updated URL for spam test | {
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- [X] closes #20685
- [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/20690 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20690/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20690/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20690/events | https://github.com/pandas-dev/pandas/issues/20690 | 314,243,015 | MDU6SXNzdWUzMTQyNDMwMTU= | 20,690 | ENH: handle multiple tbody in read_html() | {
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```
url = 'https://www.wunderground.com/history/airport/KORD/2018/3/21/CustomHistory.html?dayend=10&monthend=4&yearend=2018'
df = pandas.read_html(url)[1]
```
#### Problem description
Expected: table of weather information at page bottom.
Actual:
0.21.1 - first two rows
0.22.0 - except... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20691 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20691/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20691/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20691/events | https://github.com/pandas-dev/pandas/pull/20691 | 314,253,090 | MDExOlB1bGxSZXF1ZXN0MTgxNTk4MjA2 | 20,691 | BUG: Series.is_unique has extra output if contains objects with __ne__ defined | {
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- [x] closes #20661
- [x] tests added / passed
- series/test/series/test_analytics.py:test_is_unique_class_ne
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Simple change from `_checknan` to `checknull` in pandas/_libs/hashtable_class_helper.pxi.in
Checked perf... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20692 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20692/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20692/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20692/events | https://github.com/pandas-dev/pandas/issues/20692 | 314,290,055 | MDU6SXNzdWUzMTQyOTAwNTU= | 20,692 | SparseDataFrame.to_parquet fails | {
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```python
import pandas as pd # v0.22.0
import scipy.sparse # v1.0.1
rpd = pd.SparseDataFrame(scipy.sparse.random(1000, 1000),
columns=list(map(str, range(1000))),
default_fill_value=0.0)
rpd.to_parquet('... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20693 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20693/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20693/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20693/events | https://github.com/pandas-dev/pandas/issues/20693 | 314,297,697 | MDU6SXNzdWUzMTQyOTc2OTc= | 20,693 | get_dummies(dummy_na=True) treats int like float when creating dummy names | {
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will produce
| |id_1.0 | id_2.0 | id_3.0 | id_nan
---|---|---|---|---
0 | 1| 0| 0 | 0
1 | 0 |1 |0 |0
2| 0 |0 |1 |0
Which creates different column names from `pd.get_dummies(pd.DataFrame({"id":[1,2,3]}), c... | {
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#### Problem description
Typos in [pandas.core.groupby.groupby.GroupBy.rank](https://github.com/pandas-dev/pandas/blob/5edc5c4acde1f0d05b598825ab5c6a86fe551484/pandas/core/groupby/groupby.py)
https://github.com/pandas-dev/pandas/blob/5edc5c4acde1f0d05b598825ab5c6a86fe551484/pandas/core/groupby/groupby.py#L1848
'de... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20695 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20695/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20695/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20695/events | https://github.com/pandas-dev/pandas/issues/20695 | 314,327,048 | MDU6SXNzdWUzMTQzMjcwNDg= | 20,695 | Huge html with df.style.render to due css duplications | {
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... | 3 | 2018-04-14T12:57:30Z | 2018-10-14T16:10:09Z | 2018-10-14T16:10:09Z | NONE | null | When creating html with `df.style` e.g.
```python
df.style.apply(color_f, axis=1).render()
```
pandas assigns to each html cell of the table a unique css class. This means huge html are created, while it would be possible to use the same class for cell with the same style.
<details>
------------------
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nice to split out functions (e.g. rank) to test_functional | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20697 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20697/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20697/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20697/events | https://github.com/pandas-dev/pandas/issues/20697 | 314,359,671 | MDU6SXNzdWUzMTQzNTk2NzE= | 20,697 | pip install panadas fails on numpy version | {
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```
C:\Users\nickdmax
λ pip install pandas
Collecting pandas
Downloading https://files.pythonhosted.org/packages/08/01/803834bc8a4e708aedebb133095a88a4dad9f45bbaf5ad777d2bea543c7e/pandas-0.22.0.tar.gz (11.3MB)
100% |################################| 11... | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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This is a small change to the setup.py that *should* stop newer versions of pandas from being downloaded in environments with older/unsupported versions of python. I followed t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20699 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20699/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20699/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20699/events | https://github.com/pandas-dev/pandas/issues/20699 | 314,372,127 | MDU6SXNzdWUzMTQzNzIxMjc= | 20,699 | Combine_first method converts booleans into floats | {
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"followers_url": "https://api.github... | 2 | 2018-04-14T23:56:25Z | 2018-10-09T12:54:03Z | 2018-10-09T12:54:03Z | NONE | null | #### Works as expected:
```python
>>> df1 = pd.DataFrame()
>>> df2 = pd.DataFrame({'isBool': [True]})
>>> df1.combine_first(df2)
isBool
0 True
```
#### Does not work as expected:
```python
>>> df1 = pd.DataFrame({'isInt': [1]})
>>> df2 = pd.DataFrame({'isBool': [True]})
>>> df1.combine_first(df2)
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https://api.github.com/repos/pandas-dev/pandas/issues/20700 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20700/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20700/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20700/events | https://github.com/pandas-dev/pandas/issues/20700 | 314,374,495 | MDU6SXNzdWUzMTQzNzQ0OTU= | 20,700 | API: integer Extension Array | {
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"followers_url": "https://api.github... | 4 | 2018-04-15T00:43:14Z | 2018-07-20T20:44:33Z | 2018-07-20T20:44:33Z | CONTRIBUTOR | null | xref #8640
Could easily imagine an ``ExtensionArray`` which uses as an implementation a numpy array of the appropriate dtype and a bitmask in order to fully support Integer NA across the board. I don't think this would be too hard. As a bonus, would be zero-copy compat with pyarrow impl (for the future)
- [ ] Int... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20701 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20701/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20701/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20701/events | https://github.com/pandas-dev/pandas/issues/20701 | 314,381,697 | MDU6SXNzdWUzMTQzODE2OTc= | 20,701 | Installation of Latest Pandas | {
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Running `pip3 install --upgrade pandas` yields:
```
pdoc 0.3.2 has requirement markdown<2.5, but you'll have markdown 2.6.11 which is incompatible.
```
I am currently tryin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20702 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20702/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20702/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20702/events | https://github.com/pandas-dev/pandas/pull/20702 | 314,399,602 | MDExOlB1bGxSZXF1ZXN0MTgxNjg5MTc0 | 20,702 | DOC: Addition to pd.DataFrame.assign() docstring (#20085) | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Adding information to pd.DataFrame.assign() docstring that re-assigning of existing columns will overwrite the same.
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https://api.github.com/repos/pandas-dev/pandas/issues/20703 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20703/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20703/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20703/events | https://github.com/pandas-dev/pandas/pull/20703 | 314,404,339 | MDExOlB1bGxSZXF1ZXN0MTgxNjkyMDIx | 20,703 | PERF: enhance MultiIndex.remove_unused_levels when no levels are unused | {
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- [x] tests passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This uses ``np.bincount`` rather than ``algos.unique`` to check _if_ there are unused levels: since levels indexes are adjacent integers, the former is faster (~50% in my tests). It the... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20704 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20704/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20704/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20704/events | https://github.com/pandas-dev/pandas/pull/20704 | 314,412,214 | MDExOlB1bGxSZXF1ZXN0MTgxNjk2ODk5 | 20,704 | Revert DOC/CI: temp pin matplotlib for doc build #20045 | {
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Need to check the output of `merging.rst`. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20705 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20705/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20705/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20705/events | https://github.com/pandas-dev/pandas/pull/20705 | 314,422,997 | MDExOlB1bGxSZXF1ZXN0MTgxNzAzNDI2 | 20,705 | HDFStore.select_column error reporting | {
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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/20706 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20706/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20706/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20706/events | https://github.com/pandas-dev/pandas/issues/20706 | 314,430,688 | MDU6SXNzdWUzMTQ0MzA2ODg= | 20,706 | Identity check fails even if two Series objects referring to same integer | {
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```python
# Your code here
>>> a = pd.Series(data=[1,2,3])
>>> b = pd.Series(data=a, copy=False)
>>>
>>> id(a[0])
1647956885080
>>> id(b[0])
1647956885080
>>>
>>> id(a[0]) == id(b[0])
True
>>>
>>> a[0] is b[0]
False
>>>
```
#### Problem descr... | {
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cc @peterpanmj | {
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- [X ] closes #20601
- [X ] tests added / passed
- [X ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
import pandas as pd
df = pd.DataFrame({"A":["a","b"]})
df2 = pd.DataFrame({"A":["a","b"]})
df["B"] = df["A"].astype('category')
df.B.cat.categories = ['c','d']
df2["B"] = df2["A"].astype('category')
df2.B.cat.categories = ['d','c']
dfa =... | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-04-16T12:19:13Z | 2018-04-16T20:05:34Z | 2018-04-16T20:05:21Z | NONE | null | File "<ipython-input-1-8eb27eeb526f>", line 1, in <module>
runfile('C:/Users/la/spyder/demo1.py', wdir='C:/Users/la/spyder')
File "C:\Users\la\AppData\Local\Continuum\anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 705, in runfile
execfile(filename, namespace)
File "C:\Users\l... | {
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