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https://api.github.com/repos/pandas-dev/pandas/issues/37419 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37419/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37419/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37419/events | https://github.com/pandas-dev/pandas/pull/37419 | 729,652,188 | MDExOlB1bGxSZXF1ZXN0NTEwMTAxNjQx | 37,419 | fix windows issue pre-commit | {
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```
Executable `python3` not found
```
on Windows
xref https://github.com/pandas-dev/pandas/pull/37023#issuecomment-716607730 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37427 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37427/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37427/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37427/events | https://github.com/pandas-dev/pandas/issues/37427 | 729,847,323 | MDU6SXNzdWU3Mjk4NDczMjM= | 37,427 | BUG: NBC change in reindexing logic of Series.__setitem__ in pandas=1.1.0 | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
Hi,
The following example of using `Series.__setitem__` shows different results on **... | {
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- [ ] tests added / passed
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tested at https://github.com/simonjayhawkins/pandas-release/actions/runs/329803554 ( patched from Gist https://gist.github.com/simonjayhawkins/f26d3... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37429 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37429/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37429/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37429/events | https://github.com/pandas-dev/pandas/issues/37429 | 729,916,930 | MDU6SXNzdWU3Mjk5MTY5MzA= | 37,429 | BUG: cannot safely cast non-equivalent float64 to Int64 | {
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import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.rand(3,4), columns= list('ABCD'))
df_int = pd.to_numeric(df['A'], errors='coerce').astype('Int64')
```
#### Problem description
cannot safely cast non-equivalent float64 to Int64, it should happen like when you convert from float6... | {
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Run tests in ``indexes`` and ``indexing`` locally without failure. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37436 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37436/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37436/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37436/events | https://github.com/pandas-dev/pandas/pull/37436 | 730,022,904 | MDExOlB1bGxSZXF1ZXN0NTEwNDAyMTgy | 37,436 | ENH: std for dt64 dtype | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37437 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37437/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37437/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37437/events | https://github.com/pandas-dev/pandas/pull/37437 | 730,142,221 | MDExOlB1bGxSZXF1ZXN0NTEwNDk3MjI3 | 37,437 | CLN: Clean DirNameMixin | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37438 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37438/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37438/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37438/events | https://github.com/pandas-dev/pandas/issues/37438 | 730,212,114 | MDU6SXNzdWU3MzAyMTIxMTQ= | 37,438 | xlrd is required for handle excel in pandas but it is EOL and yield warnings on py37 | {
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To use `pandas.read_excel` and `pandas.DataFrame.to_excel` we need xlrd.
xlrd is EOL, and can be replaced with OpenPyXL Do you plan this migration ?
Moreover, now xlrd yield warnings with python 3.7
```
xlrd/xlsx.py:266: PendingDeprecationWarning: This method will be removed in future versions. Use... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37439 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37439/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37439/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37439/events | https://github.com/pandas-dev/pandas/pull/37439 | 730,215,998 | MDExOlB1bGxSZXF1ZXN0NTEwNTU4MTc2 | 37,439 | REGR: fix rank algo for read-only data | {
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They also have another useful hook (`rst-inline-touching-normal`), which caught a couple of errors which I've fixed below.
The reason why I've kept `rst-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37441 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37441/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37441/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37441/events | https://github.com/pandas-dev/pandas/issues/37441 | 730,286,461 | MDU6SXNzdWU3MzAyODY0NjE= | 37,441 | BUG: Excessive memory usage loading Dataframe with mixed data types from HDF5 file saved in "table" format | {
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... | null | 1 | 2020-10-27T09:47:48Z | 2021-08-18T23:02:14Z | null | NONE | null | #### Code Sample
Environment setup:
```
conda create -n bug_test python=3.8 pandas pytables numpy psutil
conda activate bug_test
```
Test code:
```python
import psutil
import numpy as np
import pandas as pd
import os
import gc
random_np = np.random.randint(0, 1e16, size=(25000000,4))
random_df = pd.Da... | {
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- [ ] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/2... | {
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I wish pandas's to_latex() function could create table* environment instead of table for wide tables. The generated table sometimes does not fit into one column of a two column document.
#### Describe the solution you'd like
A parameter where one can define t... | {
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"... | closed | false | null | [] | null | 3 | 2020-10-27T13:08:40Z | 2020-10-28T15:43:56Z | 2020-10-28T15:38:22Z | NONE | null | If i use:
df.to_csv('dir1/dir2/test.csv.zip')
or
df.to_csv('dir1/dir2/test.csv', compression='zip')
to save a csv file, i found that
1. the path name no matter reletive or absolute will be included in the zip archive
2. the extension name of the actual file in the zip archive will be kept the same... | {
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- [X] I have confirmed this bug exists on the latest version of pandas (`1.1.3`).
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable e... | {
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```python
>>> n = 100_000
>>> ser = pd.Series(['a'] * n]
>>> %timeit dir(ser)
3.73 ms ± 34.7 µs per loop # master
253 µs ± 4.3 µs per loop # this PR
```
It does this by caching the output for the info axis, when the... | {
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Floating number issues when summing the same number often enough... | {
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```python
>>> pd.Series([1,2], index=pd.timedelta_range(start=0, periods=2, freq='D')).plot(xlim=(3, 1))
```
> C:\ProgramData\Miniconda3\envs\env_name\lib\site-packages\pandas\plotting\_matplotlib\converter.py ... | {
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> I would expect numpy to automatically convert such arrays into a float type and fill with np.nan. However, for some reason it converts it to object:
>
> `pd.DataFrame({'col': [1, np.nan, 3]}).astype('UInt8').values.dtype`
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This PR ensures that `__finalize__` is called for objects returned by iterator over `.groupby`-results.
Based on the discussion and benchmarks in PR #35688 (see https://github.com/pandas-dev/pandas/pull/35688#issuecomment-675367517), `__finalize__` is _not_ called for intermediate objects u... | {
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This seems to be caused by https://github.com/pandas-dev/pandas/pull/37313 cc @jbrockmendel | {
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Tried to merge it. Hopefully nothing was broken in the process. Run the indexing tests locally, but have to wait for ci
cc @simonjayhawkins | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
df1... | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [X] (optional) I have confirmed this bug exists on the master branch of pandas.
---
crosstab no longer works correctly with categorical inputs. This is a regression f... | {
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closes #37465
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
In [5]: df = pd.DataFrame(... | {
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Calling ```testing.assert_frame_equal``` with mismatched indexes and ```check_like=True``` generates unhelpful output.
If you run:
```python
import pandas as pd
df1 = pd.DataFrame({"A": [1.0, 2.0, 3.0], "B": [4.0, 5.0, 6.0]}, index=["a", "b", "c"])
df2 = pd.DataFrame({"A": [1.0, 2.0, 3.0], "B": ... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
As described in #37478 This PR fixes some very misleading output when ```assert_frame_equal``` is called with differing index values and ```check_l... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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I wish I could use pandas to map back and forth between tz-aware timestamps and floats.
This has been raised before
[#16842](https://github.com/pandas-dev/pandas/issues/16842)
however it was argued that the incumbent behaviour did not need altering, but I'd l... | {
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```python
def test_count(x):
last_index = None
count = 0
print(" - test_count")
for index, value in x.items():
print(" - - index, value: {}, {}".format(index, value))
last_index = index
count += 1
res = pd.Series([count]... | {
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"default"... | open | false | null | [] | null | 6 | 2020-10-29T13:55:08Z | 2021-06-06T19:53:57Z | null | CONTRIBUTOR | null | - [x] I have checked that this issue has not already been reported.
There are some historic "to_csv is slow" reports, but none mention the specific behaviour I've seen with regard to indices.
- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exis... | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [ X ] I have confirmed this bug exists on the latest version of pandas.
---
#### Code Sample, a copy-pastable example
```p... | {
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`(Series|DataFrame).__(getitem|setitem)__` tests go in the tests.(series|frame).indexing
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- [x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
I have two dataframes with different column types tha... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37491 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37491/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37491/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37491/events | https://github.com/pandas-dev/pandas/issues/37491 | 732,516,517 | MDU6SXNzdWU3MzI1MTY1MTc= | 37,491 | BUG: Inconsistent data type conversion with .sum | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
s = p... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
# update 2020-10-30
This is the replacement for #37103, since I messed up the git timeline in the p... | {
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... | 1 | 2020-10-29T19:23:02Z | 2021-09-22T15:27:50Z | null | MEMBER | null | Similarly as for normal reductions (eg https://github.com/pandas-dev/pandas/pull/30982), we should investigate having masked array-specific support in the groupby algorithms.
Currently, when starting from a nullable extension array, they get converted to a numpy array (eg integers with missing values will typically... | {
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... | open | false | null | [] | null | 5 | 2020-10-29T19:29:51Z | 2021-08-14T04:28:06Z | null | MEMBER | null | Follow-up on https://github.com/pandas-dev/pandas/pull/37433, and partly related to https://github.com/pandas-dev/pandas/issues/37493
Currently, after groupby operations we try to cast back to the original dtype when possible (at least in case of extension arrays). But this is not always correct, and also not done c... | {
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See discussion at https://github.com/pandas-dev/pandas/pull/36498#issuecomment-708578774 for reverting the original fix (https://github.com/pandas-dev/pandas/pull/30501 for #30484) | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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@jbrockmendel this is reverting part of the clean-up you did in https://github.com/pandas-dev/pandas/pull/33643. I think the behavioural change was unintentional in that PR. We might still want to do it for 1.2, but then with a deprecation first. | {
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[this should provide a description of what the problem is, e.g. "I wish I could use pandas to do [...]"]
#### Describe the solution you'd like
As mentioned in #37145 the pre processing part in https://github.com/pandas-dev/pandas/blob/6abe5106a63431239081af7c1... | {
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alternative to #37497, ensures that Series inplace ops are actually inplace whenever possible. The whatsnew is copied verbatim from #37497, the new... | {
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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As discussed in #37119, the vendored version does not serve its intended purpose. Moreover, #37137 shows a way to get by without it. | {
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Reheating #33622 (stale) | {
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Currently, there is an inconsistency between `__getitem__` and `loc` related to how the RHS value in an assignment gets re-aligned or not.
In this example, the values in Series get just assigned as is, ignoring the index of the series (only requiring ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37518 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37518/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37518/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37518/events | https://github.com/pandas-dev/pandas/issues/37518 | 733,090,896 | MDU6SXNzdWU3MzMwOTA4OTY= | 37,518 | ENH: Validate merge is not made on NA values in the merge keys | {
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I wish pandas merge function would prodive a way to verify that it does not merge on NA values, which, most of the times, are not what we want. Right now, I'm always doing a pre-check that my right dataframe does not have any NA values in keys, but when you are doin... | {
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