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https://api.github.com/repos/pandas-dev/pandas/issues/39719 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39719/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39719/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39719/events | https://github.com/pandas-dev/pandas/pull/39719 | 805,354,258 | MDExOlB1bGxSZXF1ZXN0NTcwOTcwMTcz | 39,719 | [ArrayManager] Test DataFrame reductions + implement ignore_failures | {
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This adds support for ignoring failures in `ArrayManager.reduce`.
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https://api.github.com/repos/pandas-dev/pandas/issues/39720 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39720/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39720/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39720/events | https://github.com/pandas-dev/pandas/pull/39720 | 805,370,647 | MDExOlB1bGxSZXF1ZXN0NTcwOTgzMTU5 | 39,720 | DOC: Rewrite for `Styler` user guide with new features and other high-level changes. | {
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- [x] closes #40645
- [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
This renames `Styling` with `Table Visualization` and aligns it more with `Chart Visualization`.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39721 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39721/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39721/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39721/events | https://github.com/pandas-dev/pandas/pull/39721 | 805,377,708 | MDExOlB1bGxSZXF1ZXN0NTcwOTg4ODMw | 39,721 | [ArrayManager] Implement .equals method | {
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Moved the common part (checking of dimension and indices) to the base class `equals` method so this can be shared, and the actual BlockManager/AraryManager then only need to check the column values. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39722 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39722/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39722/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39722/events | https://github.com/pandas-dev/pandas/pull/39722 | 805,503,045 | MDExOlB1bGxSZXF1ZXN0NTcxMDkyOTkw | 39,722 | REF: move reshaping of array for setitem from DataFrame into BlockManager internals | {
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This will help for the ArrayManager, so we don't have to re-resha... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39723 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39723/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39723/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39723/events | https://github.com/pandas-dev/pandas/issues/39723 | 805,543,385 | MDU6SXNzdWU4MDU1NDMzODU= | 39,723 | QST: Passing data class to DataFrame constructor | {
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- [ ] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
My question is quite simple, I have some code which ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39724 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39724/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39724/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39724/events | https://github.com/pandas-dev/pandas/issues/39724 | 805,618,113 | MDU6SXNzdWU4MDU2MTgxMTM= | 39,724 | QST: Publish my personal modification of the official pandas cheat sheet | {
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... | closed | false | null | [] | null | 2 | 2021-02-10T15:29:29Z | 2021-03-29T15:24:00Z | 2021-03-29T15:24:00Z | CONTRIBUTOR | null | Hi all,
I found that the official cheat sheet could be optimized a bit.
I created my personalized version of the pandas cheat sheet and published it on my github [here](https://github.com/OliEfr/pandas_cheat_sheet).
Is this alright? I mentioned all sources and inspireations and chose the same license.
If yo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39725 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39725/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39725/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39725/events | https://github.com/pandas-dev/pandas/issues/39725 | 805,618,735 | MDU6SXNzdWU4MDU2MTg3MzU= | 39,725 | BUG: SAS datetime column with null values cannot be parsed. | {
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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
```python
import pandas as pd
pd.read_sas('dates_null.sas7bd... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39726 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39726/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39726/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39726/events | https://github.com/pandas-dev/pandas/pull/39726 | 805,629,052 | MDExOlB1bGxSZXF1ZXN0NTcxMTk4Nzkz | 39,726 | SAS validate null dates | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2021-02-10T15:42:23Z | 2021-02-12T20:23:02Z | 2021-02-12T20:12:13Z | CONTRIBUTOR | null | - [x] closes #39725
- [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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- [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
```python
import datetime
import numpy as np
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https://api.github.com/repos/pandas-dev/pandas/issues/39728 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39728/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39728/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39728/events | https://github.com/pandas-dev/pandas/pull/39728 | 805,674,724 | MDExOlB1bGxSZXF1ZXN0NTcxMjM3MTY3 | 39,728 | REF: separate out indexer/mask preprocessing code in algorithms.take_nd | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39729 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39729/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39729/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39729/events | https://github.com/pandas-dev/pandas/pull/39729 | 805,714,997 | MDExOlB1bGxSZXF1ZXN0NTcxMjcwNzI4 | 39,729 | TYP: MultiIndex | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/39730 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39730/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39730/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39730/events | https://github.com/pandas-dev/pandas/issues/39730 | 805,759,835 | MDU6SXNzdWU4MDU3NTk4MzU= | 39,730 | CI: enable drone.io | {
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cc @xhochy | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39731 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39731/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39731/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39731/events | https://github.com/pandas-dev/pandas/pull/39731 | 805,794,165 | MDExOlB1bGxSZXF1ZXN0NTcxMzM2NzI0 | 39,731 | REF: remove take_1d alias of take_nd | {
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Since this is just an alias, this is certainly fine in theory. Although now doing it, I think there is still *some* value of the alias to signal that it is taking a 1D array which can provide useful context when *reading* code that uses this. | {
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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.
---
This probably happens because we change the `mutated` attribues:
https://github... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
**Note**:
#### Code Sample,
```python
import os
class Styler:
absolut... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39735 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39735/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39735/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39735/events | https://github.com/pandas-dev/pandas/issues/39735 | 805,878,172 | MDU6SXNzdWU4MDU4NzgxNzI= | 39,735 | BUG: Styler export() and use() no longer work after Styler has been rendered. | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
Addressing #39396 and #39395 means that after `Styler._compute()` or `Styler.render(... | {
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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.
---
#### Code Sample, a copy-pastable example
```python
>>> import pandas as p... | {
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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
In `1.2.1`:
```python
>>> import ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39740 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39740/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39740/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39740/events | https://github.com/pandas-dev/pandas/pull/39740 | 806,018,773 | MDExOlB1bGxSZXF1ZXN0NTcxNTE5ODY5 | 39,740 | Changed pct_change parameters to calculate pct_change right-to-left f… | {
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- [ ] closes #39672
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- For axis = 1, periods = -periods.
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```python
import pandas as pd
import numpy as np
pd.set_option("display.max_rows", None)
df = pd.DataFrame(np.random.randint(0,100,size=(10000, 100)), columns=np.arange(0,100))
```
```python
print(df.columns)
dir(df)
```
#### Problem description
Changing the display option for... | {
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xref #36719
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- [x] tests added / passed
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- [ ] ~~closes #xxxx~~
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To be honest, I don't actually understand why different GitHub Actions set up pandas in different ways, so didn't change that here.
The `uses` calls can be moved into the composite action... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39746 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39746/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39746/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39746/events | https://github.com/pandas-dev/pandas/issues/39746 | 806,074,816 | MDU6SXNzdWU4MDYwNzQ4MTY= | 39,746 | Adding Power support to the package -Installation of Condo not available for ppc64le | {
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I wish to use pandas to support ppc64le cpu arch
#### Describe the solution you'd like
need tom modify this script ci/setup_env.sh to incorporate ppc64le in script and also the below works fine for conda installation in ppc64le
#### API breaking implicatio... | {
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Remove mention of MultiIndex from rolling docs. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39748 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39748/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39748/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39748/events | https://github.com/pandas-dev/pandas/pull/39748 | 806,158,622 | MDExOlB1bGxSZXF1ZXN0NTcxNjM0OTcw | 39,748 | DOC: added more and updated links in cheat sheet | {
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- [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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I'm trying to access the index of a column using it's name :
indicecol=df.columns.get_loc(nomF)
where nomF is the name of the column and is asked ... | {
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```
In [27]: pd.array(["1 days", "2 days"], dtype="timedelta64[ns]") / np.array([2, 2])
Out[27]:
<TimedeltaArray>
['0 days 12:00:00', '1 days 00:00:00']
Length: 2, dtype: timedelta64[ns]
In [28]: pd.array(["1 days", "2 days"], dtype="timedelta64[ns]") / np.array([2, 2], dtype=object)
Out[28]:
<TimedeltaAr... | {
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- [x] closes #38844
- [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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- [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/39754 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39754/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39754/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39754/events | https://github.com/pandas-dev/pandas/issues/39754 | 806,595,526 | MDU6SXNzdWU4MDY1OTU1MjY= | 39,754 | BUG: reindexing a level in MultiIndex has no effect | {
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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.
---
This is about trying to reindex a MultiIndex level to add keys to avoid a `KeyErro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39755 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39755/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39755/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39755/events | https://github.com/pandas-dev/pandas/issues/39755 | 806,654,669 | MDU6SXNzdWU4MDY2NTQ2Njk= | 39,755 | BUG: casting dt64 in DataFrame.reindex | {
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import numpy as np
import pandas as pd
mi = pd.MultiIndex.from_product([list("ABCDE"), range(2)])
dti = pd.date_range("2016-01-01", periods=10)
ser = pd.Series(dti, index=mi)
df = ser.unstack()
index = df.index.append(pd.Index([1]))
columns = df.columns.append(pd.Index(["foo"]))
axes = {"index": index,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39756 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39756/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39756/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39756/events | https://github.com/pandas-dev/pandas/issues/39756 | 806,679,358 | MDU6SXNzdWU4MDY2NzkzNTg= | 39,756 | BUG: to_datetime throws TypeError: unhashable type: 'list' even with errors='ignore' | {
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```python
_ = pd.to_datetime(pd.Series([['a']]*50), errors='ignore') # works
_ = pd.to_datetime(pd.Series([['a']]*51), errors='ignore') # error
```
```python
Traceback (most r... | {
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```python
>>> from pandas import Series
>>> import numpy as np
>>> series_a = Series([1,2,3], name=np.float64(1.0))
>>> series_b = Series([1,2,3], name=(np.float64(1.0), np.float64(2.0)))
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We need to select a set of builds (create new ones if needed), add `-... | {
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- [ ] whatsnew entry
Ref: #12653. I added the message to apply, aggregate, transform, and groupby's filter. Not sure if this needs a whatsnew.
cc @jbrockmend... | {
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```
index = pd.period_range("2016-01-01", periods=9, freq="D", name="A")
obj = pd.DataFrame(index).copy()
obj.iloc[:] = index._na_value
>>> obj.dtypes
A datetime64[ns]
dtype: object
```
We'd like to keep `period[D]` her... | {
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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
- [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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The visualization doc had an example where a column in a DataFrame is repeatedly assigned.
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https://api.github.com/repos/pandas-dev/pandas/issues/39771 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39771/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39771/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39771/events | https://github.com/pandas-dev/pandas/issues/39771 | 807,010,573 | MDU6SXNzdWU4MDcwMTA1NzM= | 39,771 | BUG: fix quantile for nullable integer/float | {
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```
In [1]: pd.Series([1, 2, 3], dtype="Int64").quantile(0.75)
..
~/scipy/pandas/pandas/core/internals/blocks.py in quantile(self, qs, interpolation, axis)
1858 # shape[0] should ... | {
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I am able to filter columns of dataframes by using `df.filter(like="COLUMNNAME",axis=1)` and I would like to do the reverse, excluding these columns.
#### Describe the solution you'd like
I think a possible solution would be the implementation of a not_like ar... | {
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No longer limiting `abs-imports` to just pandas. This requires telling `isort` that `benchmarks` is a local folder, else it groups it with third-party imports | {
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My view is that `KeyErrors` for `Index` is fine, but `MultiIndexes` should be treated differently: you cannot always raise a `KeyError... | {
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Since the ExtensionDtype/Array knows best how to do this efficiently, we can add a method to the extension ... | {
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- [x] closes #39017
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xref #39624 in which it took ~15 minutes for @rhshadrach to be told
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As discussed in the monthly dev meeting - motivation here is to reduce the number of merge conflicts, which single-line imports seem to be a major source of.
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integers where possible. For backwards-compatibility, we have to convert
integers back to float if not `convert_float`
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Main web page for our project: https://ibm.biz/text-extensions-for-pandas
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Using the following code it produces unexpected results:
```pyhton
import pandas
samplingRate = 200000000
n = pandas.to_datetime('now')
for index in range (0,3):
sampleTime = float((1 / samplingRate) * index)
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- [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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One thing I noticed while working on this is that xlrd is in requirements-dev but not environment.yml; not sure if it ... | {
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- highlight null
- highlight max
- highlight min | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39799 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39799/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39799/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39799/events | https://github.com/pandas-dev/pandas/issues/39799 | 807,827,378 | MDU6SXNzdWU4MDc4MjczNzg= | 39,799 | ENH: consider using sets and not maps for isin, unique and duplicated | {
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Currently, in `isin`, `unique` and `duplicated` temporary hash-maps are created, albeit sets would be enough (for `isin` and for some inputs to `unique` and `duplicated`). Thus has at least two drawbacks:
1) Quite a memory overhead: For every key there are addi... | {
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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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- [ ] ~~closes #xxxx~~
- [ ] tests added / passed
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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... | {
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... | 3 | 2021-02-14T09:15:59Z | 2021-08-15T18:10:59Z | null | CONTRIBUTOR | null | #### Is your feature request related to a problem?
To prevent casting str to float. `read_json`, `read_csv`, `read_table` have all supported `dtype` param already , `read_html` should not be left behind.
Maybe related: #21379 #30589
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```python
d=pd.DataFrame(range(3), index=pd.to_datetime(["2021-01-01", "2021-03-01", "2021-02-01"])).asfreq("MS")
d
# output:
# 2021-01-01 0
# 2021-02-01 2
```
Silent data loss is very dangerous in data analysis as it's hard to... | {
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] | closed | false | null | [] | null | 14 | 2021-02-14T11:56:43Z | 2021-08-31T21:46:02Z | 2021-03-29T15:24:01Z | CONTRIBUTOR | null | - [x] closes #39724
- [x] tests added / passed (not required)
- [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 (not required)
- [x] whatsnew entry (not required)
#### Major changes
1) **Replaced Hea... | {
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- [x] tests passed
- [x] linting and typing checks | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39808 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39808/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39808/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39808/events | https://github.com/pandas-dev/pandas/issues/39808 | 807,973,089 | MDU6SXNzdWU4MDc5NzMwODk= | 39,808 | Add back skip_blank_lines to read_excel in pandas v>1.1.4 | {
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Reading Stack Overflow, there has been several posts trying to skip blank lines when reading ([post 1](https://stackoverflow.com/questions/39334543/python-pandas-read-excel-doesnt-recognize-null-cell), [post 2](https://stackoverflow.com/questions/54890013/dont-skip-... | {
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... | closed | false | null | [] | null | 1 | 2021-02-14T16:32:13Z | 2021-02-14T16:51:18Z | 2021-02-14T16:51:18Z | MEMBER | null | Comparing:
```
df = DataFrame(columns=["A", "B", "C"])
print(df.groupby(["A"]).sum())
print(df.groupby(["A", "B"]).sum())
```
gives:
```
Empty DataFrame
Columns: [B, C]
Index: []
Empty DataFrame
Columns: []
Index: []
```
This is due to taking two different paths through agg - when `nkeys > 1`, us... | {
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refactor to remove the `assert` statement otherwise needed to solve the above `mypy` error. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39813/events | https://github.com/pandas-dev/pandas/issues/39813 | 808,067,349 | MDU6SXNzdWU4MDgwNjczNDk= | 39,813 | ENH: Using pyright to analyze missing type declarations | {
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1. Install pyright: See https://github.com/microsoft/pyright#command-line
2. In your ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39814/events | https://github.com/pandas-dev/pandas/pull/39814 | 808,074,373 | MDExOlB1bGxSZXF1ZXN0NTczMTc1MjI1 | 39,814 | REF: implement HybridBlock | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2021-02-14T23:39:53Z | 2021-02-16T17:45:41Z | 2021-02-16T16:59:12Z | MEMBER | null | Methods that would work with any NDArrayBackedExtensionArray, not just DTA/TDA. Written to facilitate experimenting with Blocks backed by 2D EAs. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39815/events | https://github.com/pandas-dev/pandas/pull/39815 | 808,123,759 | MDExOlB1bGxSZXF1ZXN0NTczMjEzNjc3 | 39,815 | REF: share DTBlock/TDBlock _maybe_coerce_values | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/39816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39816/events | https://github.com/pandas-dev/pandas/pull/39816 | 808,261,381 | MDExOlB1bGxSZXF1ZXN0NTczMzMyNzY4 | 39,816 | ⬆️ UPGRADE: Autoupdate pre-commit config | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2021-02-15T07:24:15Z | 2021-02-15T09:34:35Z | 2021-02-15T09:34:22Z | CONTRIBUTOR | null | <!-- START pr-commits -->
<!-- END pr-commits -->
## Base PullRequest
default branch (https://github.com/pandas-dev/pandas/tree/master)
## Command results
<details>
<summary>Details: </summary>
<details>
<summary><em>add path</em></summary>
```Shell
/home/runner/work/_actions/technote-space/create-pr-action/v2/nod... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39817 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39817/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39817/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39817/events | https://github.com/pandas-dev/pandas/issues/39817 | 808,410,263 | MDU6SXNzdWU4MDg0MTAyNjM= | 39,817 | API: common dtype for bool + numeric: upcast to object or coerce to numeric? | {
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"color": "b60... | open | false | null | [] | null | 7 | 2021-02-15T10:33:11Z | 2021-02-16T20:18:54Z | null | MEMBER | null | We currently have an inconsistency in how we determine the common dtype for bool + numeric.
Numpy coerces booleans to numeric values when combining with numeric dtype:
```python
>> np.concatenate([np.array([True]), np.array([1])])
array([1, 1])
```
In pandas, Series does the same:
```python
>>> pd.conc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39818 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39818/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39818/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39818/events | https://github.com/pandas-dev/pandas/issues/39818 | 808,455,892 | MDU6SXNzdWU4MDg0NTU4OTI= | 39,818 | Object to String conversion Does not work in Panda | {
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Basically, the conversion does not work on a huge dataset but on a sm... | {
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