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https://api.github.com/repos/pandas-dev/pandas/issues/35517 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35517/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35517/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35517/events | https://github.com/pandas-dev/pandas/issues/35517 | 671,594,743 | MDU6SXNzdWU2NzE1OTQ3NDM= | 35,517 | BUG: Pandas 1.0.5 → 1.1.0 behavior change on DataFrame.apply() where fn returns np.ndarray | {
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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
print(type(
pd.DataFram... | {
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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
print(
pd.DataFrame([['... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35519 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35519/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35519/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35519/events | https://github.com/pandas-dev/pandas/pull/35519 | 671,672,973 | MDExOlB1bGxSZXF1ZXN0NDYxODQ3OTA4 | 35,519 | REF: StringArray._from_sequence, use less memory | {
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"followers_url": "https://api.github.com/users/jr... | 11 | 2020-08-02T19:15:46Z | 2020-09-19T08:19:56Z | 2020-08-17T14:35:00Z | CONTRIBUTOR | null | - [x] closes #35499
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
@ldacey, can you try if this fixes your problem?
CC @simonjayhawkins | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35520 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35520/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35520/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35520/events | https://github.com/pandas-dev/pandas/issues/35520 | 671,726,669 | MDU6SXNzdWU2NzE3MjY2Njk= | 35,520 | ENH: parse_dates in read_csv should not fail silently | {
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... | closed | false | null | [] | null | 5 | 2020-08-03T00:53:18Z | 2021-08-12T19:06:48Z | 2021-08-08T19:48:28Z | NONE | null | #### Is your feature request related to a problem?
If `timestamp.csv` contains a malformed timestamp in the column `timestamp`, then
```python
df = pandas.read_csv('timestamp.csv', parse_dates=['timestamp'])
df.timestamp.dtype
```
results in
```
dtype('O')
```
(corroborated in the documentation). Because of... | {
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"followers_url": "https://api.github.com... | 22 | 2020-08-03T03:05:29Z | 2020-09-04T20:48:43Z | 2020-09-04T20:48:43Z | NONE | null | a program run ok with pandas 1.0.5, but after upgrade to 1.1.0. it fail.
i found sometimes when I change one cell of dataframe value, print(df) and it doesn't change.
but i use ==, it says changed.
for example: original cell value is A, then i change cell value to B. A=B
print df, it show still A
df.at(x, ... | {
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"followers_url": "https://api.github.com/users/jr... | 6 | 2020-08-03T07:20:45Z | 2020-08-10T13:31:13Z | 2020-08-10T13:30:14Z | CONTRIBUTOR | null | `assert_series_equal(..., check_exact=True)` no longer raises an error when series has a non-numeric dtype. This fixes a bug/ regression introduced in `1.1.0`.
- [x] closes #35446
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] wha... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35523 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35523/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35523/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35523/events | https://github.com/pandas-dev/pandas/issues/35523 | 671,867,372 | MDU6SXNzdWU2NzE4NjczNzI= | 35,523 | ENH: Allow pd.Series to fill NA with a callable | {
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I wanted to do Series additions/subtractions where two Series objects' index may not align. I was using the [`pd.Series.add()`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.add.html) function, which first aligns two Series' by their indic... | {
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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/2018/02/28... | {
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I have a DataFrame with a column filled with json data. I would like concatenate a subset of that json data to the DataFrame itself while preserving the index of the DataFrame for easy concatenation.
#### Describe the solution you'd like
1. I would add `pd.Ser... | {
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug.
#### Code Sample, a copy-pastable example
```python
# Your code here
import pandas as pd
def edit(row):
row["poo"]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35527 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35527/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35527/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35527/events | https://github.com/pandas-dev/pandas/issues/35527 | 672,174,809 | MDU6SXNzdWU2NzIxNzQ4MDk= | 35,527 | AssertionError in multidimensional indexing of a Series | {
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"followers_url": "https://api.github.com... | 6 | 2020-08-03T15:53:45Z | 2020-12-01T00:14:52Z | 2020-12-01T00:14:52Z | CONTRIBUTOR | null | In pandas 1.0.5, indexing a Series with a multidimensional key raised an IndexError. In 1.1.0 it raises a TypeError:
```python
In [1]: import pandas as pd
In [2]: s = pd.Series(pd.date_range("2000", periods=4, tz="CET"))
In [3]: s[:, None]
```
```pytb
# 1.0.5
In [3]: s[:, None]
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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/2018/02/28... | {
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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.
---
#### Code Sample, a copy-pastable example
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>>> import pandas as pd
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There are similar issues with the same symptom
- [X] I have confirmed this bug exists on the latest version of pandas.
Tested with Pandas 1.1.0
- [X] (optional) I have confirmed this bug exists on the master branch of pandas.
Tested with bdcc5bffa... | {
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I am trying to read table from SQL and writing to ORACLE using pandas.
Everything works except the columns are created as NULL in Oracle.
Any help is greatly appreciated. | {
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- [x] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [x] passes `black pandas`
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Used `missing.isnaobj()` to try to handle the suggestion from @jbrockmendel. Lmk if this might cause other issues.
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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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So, I would expect something like that to work
```
import pandas as pd
df = pd.DataFrame(
index=pd.MultiIndex(
names=['ind1'],
levels=[['a']],
... | {
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I am trying to add support to store columns of functional data in Pandas. This kind of data requires that the associated dtype store some information, such as the discretization points for discretized functions, which is not as simple as the arguments in other ExtensionDtypes (for example,... | {
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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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This is a complex function and I'm not sure what the proper fix is, suggesting to keep the empty check... | {
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- [Y] 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.
- [ ] (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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- [Y] tests added / passed
- [Y] passes `black pandas`
- [Y] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [Y] whatsnew entry
Fix when trying to truncate a one-element series within a correct date range returned an empty series instead of the originally passed-in series. | {
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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.
---
#### Minimal reproducing code sample
```python
import pandas as pd
pd.Series(... | {
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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://pandas.pydata.org/pandas-docs/stable/user_guide/enhancingperf.html#using-numba
#### Documentation problem
Provide a simpler copy-paste example.
#### Suggested fix for documentation
@TomAugspurger has a nice example of using numba to speed up a `rolling.apply()`... | {
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A problem arises when rolling on datetime column where dates are the same. The Groupby Rolling function does not preserve the original index and so when dates are the same within the Group, it is impossible to know which index value it pertains to from the original ... | {
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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
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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PyTables clearly documents this at http://www.pytables.org/usersguide/libref/declarative_classes.html#tables.ObjectAtom, but pandas users may not realize that if they aren't aware that pand... | {
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#34498 improve the .equals() docstring
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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.
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#### Code Sample, a copy-pastable example
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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
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- [X ] I have confirmed this bug exists on the latest version of pandas.
Crashes in 1.1.0, but works in 1.0.5
- [X ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35562 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35562/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35562/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35562/events | https://github.com/pandas-dev/pandas/pull/35562 | 673,289,654 | MDExOlB1bGxSZXF1ZXN0NDYzMTc1MDMx | 35,562 | BUG: Ensure rolling groupby doesn't segfault with center=True | {
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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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- [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.
---
## Update/Summary
When dealing with a pd.multiindex the frequency `df.loc[i].inde... | {
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check
- [ ] I have confirmed this bug exists on the latest version of pandas.
check
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
check
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35565 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35565/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35565/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35565/events | https://github.com/pandas-dev/pandas/issues/35565 | 673,496,387 | MDU6SXNzdWU2NzM0OTYzODc= | 35,565 | different behaviour of df.isin() in 1.0.5/1.1.0, when df contains None | {
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... | 9 | 2020-08-05T12:20:50Z | 2021-11-13T11:50:20Z | null | NONE | null | ```
>>> import pandas as pd
>>> x = pd.DataFrame([['foo', 'bar'], [1, None]])
>>> y = x[1].copy()
# PANDAS 1.0.5
>>> x.isin(y)
0 1
0 False True
1 False True
# PANDAS 1.1.0
>>> x.isin(y)
0 1
0 False True
1 False False
```
Is this change intended? | {
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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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"id"... | closed | false | null | [] | null | 4 | 2020-08-05T12:46:05Z | 2020-08-07T07:33:59Z | 2020-08-06T13:19:39Z | CONTRIBUTOR | null | Fixes #35566 | {
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Until Release 1.1.0 we had a working solution:
```python
import pandas as pd
class MonthHalf(pd.offsets.DateOffset):
"""Date offset repeating on the first date of the month and a day in the middle of the month.
For February the middle ... | {
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I suggest to change it to `False` as it ensures existing code won't break.
>k thanks. pls open an issue to change this to `check_freq=False`; I *think* this mig... | {
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This happening is not an excuse to not clean up.
- [ ] closes #xxxx
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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.
- [X] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
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In the meantime though, would it be possi... | {
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Pandas can read from google cloud storage directly. I wonder if it's a good idea to support writing data frame to google cloud storage directly.
#### Describe the solution you'd like
pd.to_parquet('gs://some-bucket/mydata.parquet')
#### API breaking implica... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
**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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---
#### Code Sample, a copy-pastable example
```python
>>> import pandas as pd
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> cell_ids: bool, default True
If True, each cell will have an id attribute in their HTML tag. The id takes the form T_<uuid>_row<num_row>_col<num_col> where <uuid> is the unique identifier, <num_row> is the row number and <num_col> is the column number.
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- [ ] tests added / passed
- [x] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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This is archieved by tightening up the checks in ``_validate_names``. | {
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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
import sqlalchemy
import ... | {
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In [1]: import pandas as pd
In [2]: index = pd.MultiIndex.from_product([['T0', 'T1'], ['A', 'B']], names=['datetime', 'count'])
In [3]: frame = pd.DataFrame({'isnull': range(len(index))}, index=index)
In [4]: frame.query('count == "A"') # works
Out[4]:
isnull
datetime count
T0... | {
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I have the following dataframe:
```
df = pd.DataFrame([[0, 1, 2, 4, np.nan, np.nan, np.nan],
[0, 1, 2 ,np.nan, np.nan, np.nan,np.nan],
[0, ... | {
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- [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.
- [x] (optional) I have confirmed this bug exists on the master branch of 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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug.
#### Code Sample, a copy-pastable example
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- [X] tests added 1 / passed 1
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
### Problem
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Firstly it can add `table_styles` within the preliminary `<style>` tag, based on given `selectors`.
Secondly it adds specific CSS classes to each element, be it, `heading0` `col1` `row0` etc.
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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
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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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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
#### Code Sample, a copy-pastable example
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import pandas as pd
import pickle
pickle.dumps(pd.read_csv)
```
```python-traceback
AttributeError: Can't pickle local object '_make_parser_function.<locals>.parser_f'
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- [x] I have confirmed this bug exists on the latest version of pandas.
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xref #35014
Creating a separate issue as the `dropna=True` requires a different fix t... | {
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We have edited some of the functions in `tslibs.vectorized to do some pre-processing in order to de-duplicate some code. This new pattern is conducive to refactoring out helper functions for further de-duplication.
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https://api.github.com/repos/pandas-dev/pandas/issues/35614 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35614/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35614/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35614/events | https://github.com/pandas-dev/pandas/issues/35614 | 675,313,247 | MDU6SXNzdWU2NzUzMTMyNDc= | 35,614 | ENH: Make Series.explode work for sets | {
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"followers_url": "https://api.github.com/users/j... | 0 | 2020-08-07T22:06:58Z | 2020-09-05T22:36:43Z | 2020-09-05T22:36:43Z | MEMBER | null | Currently Series.explode does nothing for sets but I think this would be just as useful as lists or tuples. It also allows for a way to easily enforce uniqueness at the row level before exploding.
I don't think this would be breaking, unless something is specifically relying on the operation not working.
```pytho... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35615 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35615/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35615/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35615/events | https://github.com/pandas-dev/pandas/pull/35615 | 675,325,326 | MDExOlB1bGxSZXF1ZXN0NDY0ODYyMDY1 | 35,615 | DOC: compression support for file objects in to_csv | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-08-07T22:45:08Z | 2020-08-08T01:27:40Z | 2020-08-08T01:27:40Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I made a mistake in #35129: `to_csv` supports the compression argument for file objects in binary mode (not for file objects in text/non-binary mode)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35616 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35616/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35616/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35616/events | https://github.com/pandas-dev/pandas/issues/35616 | 675,327,647 | MDU6SXNzdWU2NzUzMjc2NDc= | 35,616 | QST:TypeError: sum() got an unexpected keyword argument 'skipna' | {
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"followers_url": "https://api.github.com/users/jorisva... | 10 | 2020-08-07T22:51:40Z | 2020-11-20T13:05:40Z | 2020-11-20T13:05:32Z | NONE | null | Got the following error when trying to run a groupby sum after updating to the latest pandas:
TypeError: sum() got an unexpected keyword argument 'skipna'
->for row in Holdings[Holdings.Date>HP].groupby(['a','b','c']).sum(skipna=False)[['Balance','Withdrawal']:
....
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