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https://api.github.com/repos/pandas-dev/pandas/issues/35417 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35417/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35417/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35417/events | https://github.com/pandas-dev/pandas/pull/35417 | 665,873,802 | MDExOlB1bGxSZXF1ZXN0NDU2ODE1NjQ4 | 35,417 | BUG: df[col] = arr should not overwrite data in df[col] | {
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... | 44 | 2020-07-26T22:39:51Z | 2021-11-14T01:41:36Z | null | MEMBER | null | - [x] closes #33457
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
cc @jorisvandenbossche this still fails 7 tests locally and there's one more (commented in-line) test that looks fishy. Extra eyeballs would be wel... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35418 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35418/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35418/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35418/events | https://github.com/pandas-dev/pandas/issues/35418 | 665,954,570 | MDU6SXNzdWU2NjU5NTQ1NzA= | 35,418 | ENH: implement drop_levels argument in loc | {
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"description": "Related ... | open | false | null | [] | null | 6 | 2020-07-27T03:51:21Z | 2021-08-08T19:01:36Z | null | MEMBER | null | xref #6249, #18262, #35301
Following up on #35301. This is an outstanding piece of `DataFrame.xs` functionality that's currently not available in `.loc`. Since `xs` is slated for deprecation I'd like implement this in `.loc`
#### Example
Let's define a multiindexed dataframe (example from `xs` docs)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/35419 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35419/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35419/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35419/events | https://github.com/pandas-dev/pandas/issues/35419 | 665,991,560 | MDU6SXNzdWU2NjU5OTE1NjA= | 35,419 | DOC: HDF5 External Compatibility section examples don't work | {
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... | open | false | null | [] | null | 1 | 2020-07-27T05:39:21Z | 2020-09-04T15:33:41Z | null | CONTRIBUTOR | null | #### Location of the documentation
https://pandas.pydata.org/docs/user_guide/io.html#external-compatibility.
#### Documentation problem
This section probably has at least one typo, but more generally, doesn't seem to be documenting current behaviour.
I'll quickly run through the example here, but with a bit... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35420 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35420/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35420/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35420/events | https://github.com/pandas-dev/pandas/issues/35420 | 666,045,275 | MDU6SXNzdWU2NjYwNDUyNzU= | 35,420 | to_json/read_json can't handle interval index | {
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... | 2 | 2020-07-27T07:17:03Z | 2020-07-27T13:41:17Z | null | NONE | null | Serializing a data frame with an interval index to JSON and then deserializing it fails to recover the index. Here is an example:
```
df = pd.DataFrame(index=pd.IntervalIndex(closed='left', dtype='interval[int64]',
data=[pd.Interval(0, 2, closed='left')]),
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https://api.github.com/repos/pandas-dev/pandas/issues/35421 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35421/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35421/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35421/events | https://github.com/pandas-dev/pandas/issues/35421 | 666,091,563 | MDU6SXNzdWU2NjYwOTE1NjM= | 35,421 | Support reading YAML files | {
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"description": "IO issue... | closed | false | null | [] | null | 4 | 2020-07-27T08:25:21Z | 2021-08-08T19:10:41Z | 2021-08-08T19:10:41Z | CONTRIBUTOR | null | Would be cool if pandas supported reading YAML files.
#### Describe the solution you'd like
`pd.read_yaml(file_path: str, **kwargs: dict)`
#### API breaking implications
None
#### Describe alternatives you've considered
You can of course import the `yaml` module, use it to read the file and then feed ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35422 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35422/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35422/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35422/events | https://github.com/pandas-dev/pandas/issues/35422 | 666,135,725 | MDU6SXNzdWU2NjYxMzU3MjU= | 35,422 | Using loc[] or at[] to add rows doesn't work with an IntervalIndex doesn't work | {
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I would expect the following to work:
```
df = pd.DataFrame(index=pd.IntervalIndex(closed='left', dtype='interval[int64]',
data=[pd.Interval(0, 1, closed='left')]),
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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.
---
While working on #35314 I made a change that broke `GroupBy.apply` if you called i... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
While working on #35314 I made a change that broke `GroupBy.apply` if you called it on a DataFrame with duplicate columns; however, this break was not caught by any test... | {
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... | open | false | null | [] | null | 5 | 2020-07-27T10:04:47Z | 2021-08-08T19:11:36Z | null | NONE | null | - [x] I have checked that this issue has not already been reported.
- Has sort of come up in other issues related to metadata/attrs not propagating through properly, however I haven't seen any issues specifically about `Series` attrs being lost when put into a `DataFrame`.
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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.
---
#### Problem description
Looks like a change in numpy broke our `read_stata` co... | {
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closes #35426
- [X] closes #35426
- [ ] tests added / passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/35428 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35428/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35428/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35428/events | https://github.com/pandas-dev/pandas/pull/35428 | 666,459,305 | MDExOlB1bGxSZXF1ZXN0NDU3Mjk5Mzc2 | 35,428 | WIP BUG: Inconsistent date parsing of to_datetime | {
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- [x] tests added / passed
- [ ] documentation updated
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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This PR is an attempt to address concerns about datetime parsing. I'll update the docs if people approve... | {
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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/35430 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35430/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35430/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35430/events | https://github.com/pandas-dev/pandas/issues/35430 | 666,743,357 | MDU6SXNzdWU2NjY3NDMzNTc= | 35,430 | BUG: parse_dates in read_csv fails silently | {
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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.
---
If `timestamp.csv` contains the following:
```
timestamp
11:22:33.44
11:22:33:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35431 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35431/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35431/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35431/events | https://github.com/pandas-dev/pandas/issues/35431 | 666,750,053 | MDU6SXNzdWU2NjY3NTAwNTM= | 35,431 | BUG: index_col in read_csv ignores dtype | {
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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.
---
If `index.csv` contains:
```
id,key
00,11
22,33
```
then
```python
df = pa... | {
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The new implementation has the benefit that the ``_... | {
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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
impor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35436 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35436/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35436/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35436/events | https://github.com/pandas-dev/pandas/issues/35436 | 667,026,239 | MDU6SXNzdWU2NjcwMjYyMzk= | 35,436 | BUG: pd.read_parquet with pyarrow fails when row number is 0 and contains Pandas extensions type | {
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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
df = ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35437 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35437/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35437/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35437/events | https://github.com/pandas-dev/pandas/pull/35437 | 667,139,532 | MDExOlB1bGxSZXF1ZXN0NDU3ODY0MzAy | 35,437 | BUG: tuple-of-tuples indexing results in NumPy VisibleDeprecationWarning | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/35438 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35438/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35438/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35438/events | https://github.com/pandas-dev/pandas/issues/35438 | 667,330,187 | MDU6SXNzdWU2NjczMzAxODc= | 35,438 | DOC: Can't find mention of DataFrame accepting namedtuples as input | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-07-28T19:54:08Z | 2020-08-05T02:27:23Z | 2020-08-05T02:27:23Z | CONTRIBUTOR | null | #### Location of the documentation
User guide ['Intro to data structures'](https://pandas.pydata.org/docs/dev/user_guide/dsintro.html#dataframe)
(alternatively [`DataFrame` API docs](https://pandas.pydata.org/docs/dev/reference/api/pandas.DataFrame.html?highlight=dataframe#pandas.DataFrame))
#### Documentation p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35439 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35439/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35439/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35439/events | https://github.com/pandas-dev/pandas/issues/35439 | 667,401,325 | MDU6SXNzdWU2Njc0MDEzMjU= | 35,439 | BUG: output of df.to_string depends on whether columns is a CategoricalIndex or not | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2020-07-28T21:44:34Z | 2020-08-03T23:48:55Z | 2020-08-03T23:48:55Z | CONTRIBUTOR | null | The output of ``df.to_string`` is different if the columns is a ``CategoricalIndex`` rather than a normal ``Index``:
```python
>>> data = [[4, 2], [3, 2], [4, 3]]
>>> cols = ["aaaaaaaaa", "b"]
>>> pd.DataFrame(data, columns=cols)
aaaaaaaaa b
0 4 2
1 3 2
2 4 3
>>> pd.DataFra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35440 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35440/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35440/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35440/events | https://github.com/pandas-dev/pandas/pull/35440 | 667,422,468 | MDExOlB1bGxSZXF1ZXN0NDU4MDkxNzc3 | 35,440 | BUG: CategoricalIndex.format | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2020-07-28T22:28:20Z | 2020-08-04T09:55:01Z | 2020-08-03T23:48:55Z | CONTRIBUTOR | null | - [x] closes #35439
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I've temporarily put the whatsnewentry in the v.1.1.0 release note, because there isn't a v.1.1.1 version yet. I'll move it, before this is merged. | {
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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
*Behavioural Change*
`GroupBy.apply` would sometimes throw an erroneous `ValueError: cannot reindex from duplicate axis` because when it checked i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35442 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35442/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35442/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35442/events | https://github.com/pandas-dev/pandas/issues/35442 | 667,462,327 | MDU6SXNzdWU2Njc0NjIzMjc= | 35,442 | BUG: 'something' in pd.Series does not return the True when the object is contained. | {
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] | closed | false | null | [] | null | 1 | 2020-07-29T00:25:27Z | 2020-07-29T00:33:01Z | 2020-07-29T00:32:47Z | CONTRIBUTOR | null | ```python
import pandas as pd
df = pd.DataFrame(['Test', '123'])
'test' in df[0]
> False
```
I am not sure if this made on purpose, but I think this should return True. False seems a bit strange. Is there a good reason for this? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35443 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35443/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35443/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35443/events | https://github.com/pandas-dev/pandas/issues/35443 | 667,468,514 | MDU6SXNzdWU2Njc0Njg1MTQ= | 35,443 | BUG: Attributes of DataFrameGroupBy when subset to a series | {
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... | open | false | null | [] | null | 2 | 2020-07-29T00:46:28Z | 2021-08-08T19:14:55Z | null | MEMBER | null | xref #9959
When subsetting the columns of a dataframe after a groupby to a series:
df = pd.DataFrame({'a': [1], 'b': [2], 'c': [3]}).set_index('a')
g = df.groupby('a')['b']
the public-facing groupby arguments `axis` and `as_index` are not passed on to the resulting `SeriesGroupBy`.
I think the fo... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Avoiding the behavior of Series here, e.g. `df.groupby('a')['b']` as I think that will involve some API changes. Will follow up: ref #35443 | {
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Some notes:
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- Can only operate on nume... | {
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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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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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Is there a good way to make this DRY somehow? | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
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#### Code Sample:
```python
import pandas as pd
df = pd.DataFrame({"date"... | {
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- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
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#### Code Sample
```python
import pandas as pd
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/2... | {
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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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---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
p... | {
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] | closed | false | null | [] | null | 1 | 2020-07-29T14:54:36Z | 2020-07-29T18:16:00Z | 2020-07-29T18:14:29Z | MEMBER | null | IIUC without changes to other scripts, activating GitHub actions for merge would push the docs. so this is only for PRs
If works. will open PR against master instead. and backport.
xref https://github.com/pandas-dev/pandas/pull/34800#issuecomment-644669496 | {
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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If works. will open PR against master instead. and backport. | {
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```
>>> import pandas as pd
>>> df = pd.DataFrame({'a': list(range(0,100)), 'b': list(range(100,200))})
>>> def func(row):
... row.loc['a'] += 1
... return row
...
>>> df
a b
0 0 100
1 1 101
2 2 102
3 3 103
4 4 104
.. .. ...
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- [x] I have confirmed this bug exists on the latest version of pandas. -- I can't tell if this is a feature or a bug.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35464 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35464/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35464/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35464/events | https://github.com/pandas-dev/pandas/issues/35464 | 668,015,053 | MDU6SXNzdWU2NjgwMTUwNTM= | 35,464 | BUG: Type mismatch in read_json | {
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... | 2 | 2020-07-29T17:29:04Z | 2020-08-30T22:35:04Z | null | NONE | null | Tested on Pandas v1.1.0
I'm trying to import a JSON file containing the following:
**test.json**
````json
{"file_path": null}
````
If I run the following code,
````python
pd.read_json("test.json", typ='series').to_dict()
````
I get this output:
````python
{'file_path': NaT}
````
Why is `null` ... | {
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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.
- [ ] (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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---
#### Problem description
It seems to be ignoring `errors='ignore'` kwarg. The b... | {
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] | closed | false | null | [] | null | 2 | 2020-07-29T22:28:44Z | 2020-08-21T17:04:42Z | 2020-07-30T05:57:18Z | MEMBER | null | #### Is your feature request related to a problem?
It should be easy to find the nth weekday of period (usually a month). This kind of operation comes up all the time in financial contracts (i.e. futures and options expiring on the 3rd Wed of the month) and other use-cases (i.e. US election dates).
#### Describe ... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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I wish I could use an idxmax-like function to obtain the row and column coordinates of the minimum or maximum value.
#### Describe the solution you'd like
For a `DataFrame` object `df`, the proposed function `df.dfmin` would yield a tuple `(idx, col)` where `i... | {
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- [X] I have confirmed this bug exists on the latest version of pandas (`1.1.0`)
- [X] (optional) I have confirmed this bug exists on the master branch of pandas. (`3b1d4f1eef46a45b7d32694bb263a2e40a933e74`)
---
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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] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [ ] tests added / passed
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Adding the date object try cast in get_loc. | {
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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
```python
import pandas as pd
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- [ No] 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/... | {
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https://github.com/pandas-dev/pandas/blob/bdcc5bffaadb7488474b65554c4e8e96a00aa4af/pandas/_libs/lib.pyx#L685
Which on numpy dev during test execution isn't raising an `OverflowError` and instead performs a wraparound. Interesti... | {
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Currently, a user can use the abbreviation for an offset (e.g. "W" for week) in various methods, and will see offsets used in the docs, but the mapping from abbreviation to offset (pandas._libs.tslibs.offsets.prefix_mappings) is not public. It doesn't seem possible ... | {
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- [x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
```python
import pandas as pd
def test_func(r... | {
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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
Hey--I noticed while running [siuba's... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35485 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35485/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35485/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35485/events | https://github.com/pandas-dev/pandas/pull/35485 | 669,250,276 | MDExOlB1bGxSZXF1ZXN0NDU5NjQ3NjIy | 35,485 | MAINT: Fix broadcasting of arrays | {
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- [X] closes #35481
- [X] tests added / passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Let's say we have a `DataFrame` like the below.
```python
>>> pdf = pd.DataFrame({"a": [1, 2, 3, 2], "b": [4.0, 2.0, 3.0, 1.0], "c": [10, 20, 30, 20]})
>>> pdf
a b c
0 1 4.0 10
1 2 2.0 20
2 3 3.0 30
3 2 1.0 20
```
Then, when I use `GroupByRolling`, In the ... | {
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... | open | false | null | [] | null | 1 | 2020-07-31T07:13:26Z | 2021-08-08T19:38:30Z | null | NONE | null | There are a lot of starting points (epochs), which leads to different modifications of the Julian date. It can help save memory and disk space in a very long time-series, because it will use less digits in the representation.
Good list: [https://en.wikipedia.org/wiki/Julian_day#Variants](https://en.wikipedia.org/wik... | {
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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://github.com/pandas-dev/pandas/milestone/75
Please do not remove/change milestones from these issues without a note explaining the reasoning (changing milestones doesn't trigger notification)
All issues raised that are regressions from 1.0.5 should be milestoned 1.1... | {
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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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... | 1 | 2020-07-31T09:44:52Z | 2020-09-24T06:49:09Z | 2020-09-24T06:49:09Z | CONTRIBUTOR | null | #### Location of the documentation
`pandas.core.frame::compare`
#### Documentation problem
Right now there is not a note/warning that you can only compare dataframes with the same shape and index labels.
#### Suggested fix for documentation
Add note:
> Note: the method can only compare identically-labeled ... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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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 to Reproduce Error
```python
import pandas as pd
import ... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
There was previously a bug where grouping on precisely two rows of a MultiIndex would return a wrongly formatted index. This PR is adding a test to enforce this correct ... | {
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#### Location of the documentation
[`pd.read_sql()`](https://github.com/pandas-dev/pandas/blob/v1.1.0/pandas/io/sql.py#L441-L443)
#### Documentation problem
The documentation notes that if the `con` is a `SQLAlchemy connectable` that the user ... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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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/... | {
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Looking at the implementation in index.pyx, I notice that when `[np.nan]` is passed to `get_indexer_non_unique`, the code was not able to get passed... | {
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---
#### Code Sample, a copy-pastable example
I tried to pinpoint the specific row ... | {
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Previously, there was a bug in `DataFrameGroupBy.apply` where a column of `datetime.date` would raise a `ValueError` if it was included as column in a multi-column group... | {
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[https://pandas.pydata.org/docs/dev/reference/api/pandas.ExcelWriter.html?highlight=excelwriter](https://pandas.pydata.org/docs/dev/reference/api/pandas.ExcelWriter.html?highlight=excelwriter)
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I'm just not sure if I needed to add `IndexingError` to raises section. Added it to be safe, will remove if it's unnecessary.
Also, when someone ... | {
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I use pip to install 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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- [x] tests added / passed
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Looks like we lost an isinstance check that caused this regression. | {
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If column(=col) has some values occurring multiple times then it orders them randomly. Instead, it should inherit the order in the DataFrame for the rows having same value for column. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35512 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35512/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35512/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35512/events | https://github.com/pandas-dev/pandas/issues/35512 | 671,325,737 | MDU6SXNzdWU2NzEzMjU3Mzc= | 35,512 | BUG: Unexpected/undocumented behaviour of sum and mean aggregations on object dtypes | {
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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
# S... | {
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- [x] tests added / passed
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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This fix introduced two regression, but it appears like the fix only made the API consistent. Previously the failing regressions where inconsistent ... | {
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Refactor to just a single function
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https://api.github.com/repos/pandas-dev/pandas/issues/35516 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35516/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35516/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35516/events | https://github.com/pandas-dev/pandas/issues/35516 | 671,575,066 | MDU6SXNzdWU2NzE1NzUwNjY= | 35,516 | BUG: Error with std of nullable column obtained from groupby | {
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... | 4 | 2020-08-02T08:19:38Z | 2021-08-08T19:40:42Z | null | NONE | null | The error occurs with
```python
df = pd.DataFrame({"A": [2, 1, 1, 1, 2, 2, 1], "B": pd.Series(np.full(7, np.nan), dtype="Int64")})
df.groupby("A").std()
```
while now we have `df.groupby("A").var()` working correctly.
- [ x] I have checked that this issue has not already been reported.
- [x ] I have confir... | {
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