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For example, for a scalar right operand, we can check it only once if it's compatible with numexpr usage. Or for ArrayManager, we can check the size const... | {
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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
In [1]: import pandas as... | {
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While Panda's documentation is stellar, it often only answers the "how" of a specific function, not the "when" or "why". This makes it hard to know what a specific function should be used for and what common usecases are.
#### Describe the solution you'd like
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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- [x] tests added / passed
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This currently raises
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https://api.github.com/repos/pandas-dev/pandas/issues/41132 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41132/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41132/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41132/events | https://github.com/pandas-dev/pandas/pull/41132 | 866,704,910 | MDExOlB1bGxSZXF1ZXN0NjIyNTU1MDcz | 41,132 | BUG: pd.factorize should not upconvert unique values unnecessarily | {
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```python
>>> arr =np.array([1,2], dtype="int8")
>>> pd.factorize(arr)
(array([0, 1], dtype=int64), array([1, 2], dtype=int64)) # master
(array([0, 1], dtype=int64), array([1, 2], dtype=int8)) # this PR
```
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- [x] passes `black pandas`
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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
```bash
$ pip show pandas
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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
```bash
$ pip show pandas
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- [ ] closes #xxxx
- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/41137 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41137/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41137/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41137/events | https://github.com/pandas-dev/pandas/issues/41137 | 866,753,361 | MDU6SXNzdWU4NjY3NTMzNjE= | 41,137 | BUG: groupby mean/median/var should always be float values | {
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```
print(DataFrame({'a': [1, 3]}).groupby([1, 1]).mean())
```
results in the integer 2, whereas
```
print(DataFrame({'a': [1, 3]}).mean())
```
results in 2.0. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41138 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41138/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41138/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41138/events | https://github.com/pandas-dev/pandas/issues/41138 | 866,755,151 | MDU6SXNzdWU4NjY3NTUxNTE= | 41,138 | Method .copy(deep=False) fails to break references when values of the DataFrame/Series are lists | {
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# Your code here
```
#### Problem description
I recently tried to create a shallow copy of a pandas.Series that values where python lists. But when I tried to edit the copied series, the original series was affected as well.
```python
import pandas as pd
s = pd.Series({'foo': [1, 2, 3]})
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https://api.github.com/repos/pandas-dev/pandas/issues/41139 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41139/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41139/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41139/events | https://github.com/pandas-dev/pandas/pull/41139 | 866,766,776 | MDExOlB1bGxSZXF1ZXN0NjIyNTk4MzEz | 41,139 | BUG: groupby sum, mean, var should always be floats | {
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [x] whatsnew entry
Built on top of #40790 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41140 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41140/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41140/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41140/events | https://github.com/pandas-dev/pandas/pull/41140 | 866,772,984 | MDExOlB1bGxSZXF1ZXN0NjIyNjAyNjgx | 41,140 | CI: Mark slow tests as slow to speed up ci | {
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<details>
# 29.68s call pandas/tests/io/sas/test_sas7bdat.py::TestSAS7BDAT::test_iterator_loop
# 12.98s ... | {
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Issue was fixed by first comparing values and only after then converted
to numpy array. Now the test code provided with the issue ticket provides an expected result.
- [x] closes #40581
- [x] tests added / passed
- I did run test_fast.sh and 3 test ... | {
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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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- [ ] tests added / passed
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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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.
---
<img width="825" alt="截屏2021-04-25 下午2 46 04" src="https://user-images.githubuserc... | {
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One of the only operations I ever find myself going out of my way to create a sql temp-table upload my frame and do the operation in sql is for filtered cross joins. For large datasets they can both take a long time and use large amounts of memory. Here is an example of such an operation
__Current Solu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41151 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41151/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41151/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41151/events | https://github.com/pandas-dev/pandas/issues/41151 | 866,945,691 | MDU6SXNzdWU4NjY5NDU2OTE= | 41,151 | BUG: index.isin working with RangeIndex | {
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RangeIndex(start=0, stop=2).isin(RangeIndex(start=0, stop=1)) # <- TypeError
Index([0, 1, 2]).isin(RangeIndex(start=0, stop=1)) # <- TypeError
RangeIndex(start=0, stop=2).isin(Index([0, 1])) # <- OK
Index([0, 1, 2]).isin(Index([0, 1])) # <- OK
```
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https://api.github.com/repos/pandas-dev/pandas/issues/41152 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41152/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41152/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41152/events | https://github.com/pandas-dev/pandas/pull/41152 | 867,053,475 | MDExOlB1bGxSZXF1ZXN0NjIyNzk2MTA4 | 41,152 | TYP: Overload series/ffill and bfill | {
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- Adds `typing.overload` to: `ffill` and ``bfill` from https://github.com/pandas-dev/pandas/blob/master/pandas/core/generic.py
## Setup and Output for `ffill`
```python
# t_ffill.py
import pandas as pd
inplace: bool
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [x] whatsnew entry
This PR presents a unified index type called `NumericIndex` for numerical indexing, suppor... | {
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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https://api.github.com/repos/pandas-dev/pandas/issues/41155 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41155/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41155/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41155/events | https://github.com/pandas-dev/pandas/pull/41155 | 867,120,620 | MDExOlB1bGxSZXF1ZXN0NjIyODQ0OTc2 | 41,155 | REGR: isin raising TypeError for RangeIndex | {
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
This was easier than I've expected
cc @attack68 | {
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Running ASV's takes a really long time, especially with old computers, and the ASVs in PRs are not run in continuous mode, which makes it hard to find regressions before a PR is merged.
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- `.hide_columns(subset)`: which hides a selection of columns and the associated data values.
- `.hide_index()`: which hides the index keys completely and displays all the data values.
This PR adds a `.hide_values(subset, axis, show)` meth... | {
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [x] whatsnew entry
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<!-- END pr-commits -->
## Base PullRequest
⬆️ UPGRADE: Autoupdate pre-commit config (#41160)
## Command results
<details>
<summary>Details: </summary>
<details>
<summary><em>add path</em></summary>
```Shell
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https://api.github.com/repos/pandas-dev/pandas/issues/41161 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41161/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41161/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41161/events | https://github.com/pandas-dev/pandas/pull/41161 | 867,403,642 | MDExOlB1bGxSZXF1ZXN0NjIzMDgwMDU1 | 41,161 | REF: move check for disallowed bool arithmetic ops out of numexpr-related expressions.py | {
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That first aspect is not related to numexpr, though: we alway... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41162 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41162/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41162/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41162/events | https://github.com/pandas-dev/pandas/pull/41162 | 867,411,848 | MDExOlB1bGxSZXF1ZXN0NjIzMDg2OTcw | 41,162 | BUG: pandas concat does not match index names when concatenating two dataframes with a multiindex | {
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/41163 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41163/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41163/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41163/events | https://github.com/pandas-dev/pandas/pull/41163 | 867,418,562 | MDExOlB1bGxSZXF1ZXN0NjIzMDkyNjAx | 41,163 | PERF: numexpr doesn't support floordiv, so don't try | {
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Tests will still be failing (so don't merge yet ;)), but depend on #41161 to be fixed | {
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xref https://github.com/pandas-dev/pandas/issues/39146 | {
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```python
>>> arr = np.array([True, False, True])
>>> arr / True
array([1., 0., 1.])
>>> pd.Series(arr) / True
...
NotImplementedError: operator '/' not implement... | {
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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
pd.read_excel('trailing_... | {
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```
In [1]: dtidx = pd.date_range("2012", periods=3, tz="UTC")
In [2]: pd.core.internals.make_block(dtidx, placement=[0])
...
ValueError: Wrong number of dimensions. values.ndim != ndim [1 != 2]
```
Even though the Block is... | {
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- [ ] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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#### Documentation problem
The above documentation provides an example using `pd.DataFrame({'A': [1, 2, 3], 'B': [1, 1, 1]})` upon which `df.nunique()` returns
```
A 3
B 1
```
This example might be a bit misleading as the... | {
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- [] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [] whatsnew entry
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- [ ] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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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/... | {
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- [ ] Adds typing.overload to: `concat` from https://github.com/pandas-dev/pandas/blob/master/pandas/core/reshape/concat.py
## `mypy` Setup and Sutput
```python
# t.py
import pandas as pd
from pandas._typing import Axis
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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
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```python
import pandas as pd
import numpy as np
df = pd.DataFrame({'length': np.random.normal(0, 1, 1000),
'width': np.random.normal(0, 1, 1000),
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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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Also renames `_holder` to `_index_cls` for all of `tests.indexes`. I th... | {
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
I've labeled the error something silly but that can be fixed later.
This pull request replaces this older pr ... | {
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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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Currently, according to Pandas documentation, dataframe.isna() returns a same-size dataframe object (or Series) containing boolean values for each element indicating whether that element is or is not a pd.NA. However, in pandas current implementation, there is no wa... | {
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https://www.python.org/dev/peps/pep-0632/ has a section about migration.
xref #41113 | {
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avoid runtime imports
fix "type: ignore"s | {
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List of systems under [pandas ecosystem](https://pandas.pydata.org/docs/ecosystem.html#pandas-ecosystem)
#### Documentation problem
Add [Lux](https://github.com/lux-org/lux) to the ["pandas ecosystem" documentation](https://pandas.pydata.org/docs/ecosystem.html#pandas-ecosyst... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41206 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41206/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41206/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41206/events | https://github.com/pandas-dev/pandas/issues/41206 | 870,313,596 | MDU6SXNzdWU4NzAzMTM1OTY= | 41,206 | QST: ERROR in Jupyter using pandas module: ImportError: cannot import name 'np_version_under1p17' from 'pandas.compat.numpy' (unknown location) | {
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-------
English:
Guys I was trying to learn a program with Jupyter, but when I installed pandas at
'pip install pandas' please worked, but I used (import pandas as pd) it on jupyter and I give the following error message:
```python
# ImportError Tra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41208/events | https://github.com/pandas-dev/pandas/issues/41208 | 870,434,683 | MDU6SXNzdWU4NzA0MzQ2ODM= | 41,208 | BUG: Dataframe structure is incompatible across minor versions 1.0.5 -> 1.1.0+, violating semver rules | {
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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.
---
1. Create a DF in Pandas 1.1.0+
```python
import pandas as pd
dfContents = [{... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41212 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41212/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41212/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41212/events | https://github.com/pandas-dev/pandas/issues/41212 | 870,736,304 | MDU6SXNzdWU4NzA3MzYzMDQ= | 41,212 | ENH: 'Efficient' resampling with custom non-uniform non-overlapping time intervals | {
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I would like to resample a sorted time series with a sorted list of non-uniform, non-overlapping and not necessarily contiguous time intervals.
Taking benefit that...
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https://api.github.com/repos/pandas-dev/pandas/issues/41214 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41214/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41214/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41214/events | https://github.com/pandas-dev/pandas/issues/41214 | 870,777,309 | MDU6SXNzdWU4NzA3NzczMDk= | 41,214 | DOC: Cannot acces to index value when using 'key' function in 'Sort_index' | {
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#### Documentation problem
[When setting 'key argument' in sort_index function (DataFrame object method), I cannot acces to index value because it's consider as an object. I haven't found the way of extracting Index' object value. I ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41215/events | https://github.com/pandas-dev/pandas/issues/41215 | 870,789,903 | MDU6SXNzdWU4NzA3ODk5MDM= | 41,215 | BUG: Series.replace(List, ...) changes the dtype of the Series to object | {
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- [x] I have confirmed this bug exists on the latest version of pandas. (v1.2.4)
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
There is a bug when calling ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41216 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41216/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41216/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41216/events | https://github.com/pandas-dev/pandas/issues/41216 | 870,833,645 | MDU6SXNzdWU4NzA4MzM2NDU= | 41,216 | BUG: Cannot change the data type in the data frame | {
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"color": "00... | closed | false | null | [] | null | 3 | 2021-04-29T09:56:17Z | 2021-05-01T11:46:25Z | 2021-05-01T11:46:25Z | NONE | null | - [x] I have checked that this issue has not already been reported.
- [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/41217 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41217/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41217/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41217/events | https://github.com/pandas-dev/pandas/pull/41217 | 870,923,514 | MDExOlB1bGxSZXF1ZXN0NjI2MDMxNjc2 | 41,217 | [ArrowStringArray] use pyarrow.compute.match_substring_regex if available | {
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```
[ 50.00%] ··· strings.Contains.time_contains ok
[ 50.00%] ··· ============== ========== ==========
-- regex
-------------- -... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41218 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41218/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41218/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41218/events | https://github.com/pandas-dev/pandas/pull/41218 | 871,163,192 | MDExOlB1bGxSZXF1ZXN0NjI2MjI3NDc4 | 41,218 | Optimising Series.nunique for Nan values #40865 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41219 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41219/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41219/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41219/events | https://github.com/pandas-dev/pandas/pull/41219 | 871,300,696 | MDExOlB1bGxSZXF1ZXN0NjI2MzQwMTg2 | 41,219 | [ArrowStringArray] use pyarrow string trimming functions if available | {
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[ 27.78%] ··· strings.Methods.time_lstrip ok
[ 27.78%] ··· ============== ==========
dtype
-------------- ----------
str 22.7... | {
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