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https://api.github.com/repos/pandas-dev/pandas/issues/33617 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33617/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33617/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33617/events | https://github.com/pandas-dev/pandas/pull/33617 | 602,351,790 | MDExOlB1bGxSZXF1ZXN0NDA1NDI1Mjg4 | 33,617 | CLN: Cython warnings for type declartions | {
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warning: pandas/_libs/internals.pyx:144:29: Strings should no longer be used for type declarations. Use 'cython.int' etc. directly.
warning: pandas/_libs/internals.pyx:147:32: Strings should no longer be used for type declarations. Use 'cython.int' etc. directly.
warning: pandas/_libs/internals.pyx:188:28: Strin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33619 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33619/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33619/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33619/events | https://github.com/pandas-dev/pandas/pull/33619 | 602,352,562 | MDExOlB1bGxSZXF1ZXN0NDA1NDI1ODY1 | 33,619 | CLN: isort core/api.py | {
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Currently, the margin parameter is a simply boolean value that controls showing totals for all rows **and** columns. However, there are times when it is either necessary or desirable to show grand totals for only rows or only columns. I discovered this limitatio... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33621 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33621/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33621/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33621/events | https://github.com/pandas-dev/pandas/pull/33621 | 602,379,762 | MDExOlB1bGxSZXF1ZXN0NDA1NDQ1NjUy | 33,621 | REF: Make numba function cache globally accessible | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
For all the numba accessible operations, we use a cache to store compiled JIT'd functions for performance.
This `_numba_func_cache` used to be an attribute of `Rolling` and `Groupby` objects befo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33623 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33623/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33623/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33623/events | https://github.com/pandas-dev/pandas/issues/33623 | 602,401,968 | MDU6SXNzdWU2MDI0MDE5Njg= | 33,623 | BUG: Create empty dataframe with string dtype fails "data type not understood" | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
In [1]: import pandas as p... | {
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## Scope of PR
This PR makes sure that when we calculate the median in `roll_median_c`, we override the maximum window width with the correct va... | {
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When working on this, I noticed an unrelated line of code that could be moved inside an if-block and made the change. Should unrelated cleanups like... | {
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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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When testing dataframe manipulating functions defining explicit expected dataframes takes a lot of time.
#### Describe the solution you'd like
I've used [snapshottest](https://github.com/syrusakbary/snapshottest) to test GraphQl APIs. The same approach could b... | {
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- [ ] closes #26209
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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By default, s3fs uses env variables such as `AWS_PROFILE` `AWS_ACCESS_KEY_ID` etc to determine credentials. However, this will not work for me as I need different credentials for different buckets.
The s3fs... | {
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```
ser = pd.Series(["A", "B"])
key = pd.Series(["C"])
>>> ser[key]
C NaN
dtype: object
>>> ser[pd.Index(key)]
C NaN
dtype: object
>>> ser[np.array(key)]
C NaN
dtype: object
>>> ser[list(key)]
Traceback (most recent call last)... | {
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- [x] closes #33200, closes #33569
- [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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"followers_url": "https://api.github.c... | 4 | 2020-04-19T00:40:51Z | 2020-05-26T09:30:12Z | 2020-04-21T12:39:06Z | CONTRIBUTOR | null | closes #27679
closes #32486
- [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 asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
I posted my question with a bit more context [on Stack ... | {
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Unless we know the column names in advance, it is impossible to prevent `read_csv` from loading all floats as `np.float64` when loading in a csv file with mixed data types. This can create a great (unnecessary) strain on memory.
#### Possible solution
If we would be able to specify a C parser whic... | {
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- [x] tests added / passed
- [x] passes `black pandas`
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This pull request resolves issues with binning and NA values in both ``Series.value_counts`` and ``SeriesGroupBy.value_counts,`... | {
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] | closed | false | null | [] | null | 4 | 2020-04-19T12:54:28Z | 2020-07-21T20:15:17Z | 2020-07-21T20:15:16Z | CONTRIBUTOR | null | - [ ] Modify files v0.22.0.rst, v0.23.1.rst, v0.19.0.rst, v0.24.0.rst, v0.24.2.rst
-[ ] Add exceptions in 'validate_rst_title_capitalization.py' | {
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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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```python
import pandas as pd
pd.options.mode.use_inf_as_na = True
arr = pd.array(["a", "b", None])
arr.isna()
# array([False, False, False])
```
Setting use_inf_as_na to True breaks isna for StringArray as shown above; it seems to work fine for other ExtensionArrays I checked (IntegerArr... | {
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- [x] tests added / passed
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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
```python3
In [2]: df = pd.DataFrame... | {
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... | open | false | null | [] | null | 1 | 2020-04-19T19:51:35Z | 2020-04-19T22:56:38Z | null | CONTRIBUTOR | null | #### Is your feature request related to a problem?
Doing groupby().diff() with a big dataset and many groups is quite slow. In this image, it is shown how in certain cases optimizing it with numba can get 1000x speed.
![image](https://user-images.githubusercontent.com/30231949/79698140-20296100-8287-11ea-9439-4af... | {
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Has some tests and better code.
I think it's fair to duplicate the index values and not bend over backwards to maintain uniqueness like in previous iterations.
Apologies for the mess, it was a quick job and I didn't want to spend an hour fiddling with the commits.... | {
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This PR only implements `NDArrayBackedExtensionArray.take`, but there is quite a bit more that can be shared... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
---------------------------------------------------------------------------------------
Took a naive approach to move these constants into `pandas._testing`. Could also m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33662 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33662/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33662/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33662/events | https://github.com/pandas-dev/pandas/issues/33662 | 602,836,228 | MDU6SXNzdWU2MDI4MzYyMjg= | 33,662 | BUG: mix of int and pd.NA defaults to object dtype | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
---
#### Code Sample, a copy-pastable example
On pandas 1.0.3:
```python
df = pd.DataFrame([7,8,9,pd.NA])
print(df.dtypes)
# 0 object
# dtype: object
```
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>>> from pathlib import Path
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This wouldn't be so bad if `df.apply('first_valid_index')` actu... | {
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- [ Yes] 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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referenced in the pandas documentation (see pandas/core/generic.py)
but it is not wrapped by any interpolation method. This PR solves
this by adding the corresponding wrapper. SciPy's CubicSpline
is a cubic spline data interpolator that allows explicit contr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33671 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33671/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33671/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33671/events | https://github.com/pandas-dev/pandas/issues/33671 | 603,059,347 | MDU6SXNzdWU2MDMwNTkzNDc= | 33,671 | BUG: Multiplication of two serieses changes the the timezone from the given serieses | {
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```python
import pandas as pd
cet_idx = pd.date_range(start=pd.to_datetime('today').normalize(), periods=10, freq='15min', tz='CET')
utc_idx = cet_idx.tz_convert('utc')
cet_series = pd.Series(data=2, index=cet_idx)
utc_series = pd.Series(da... | {
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I think i am facing a similar kind of issue.
I have created a django utility that is using pandas profiling.
The steps that i am doing is python are-
1-Uploading a file
df = pd.read_csv(path)
2- Changing the datatypes of columns from objects to category
df.select_dtypes(['object']).apply(pd.Se... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33673 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33673/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33673/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33673/events | https://github.com/pandas-dev/pandas/pull/33673 | 603,146,631 | MDExOlB1bGxSZXF1ZXN0NDA1OTg5Njk0 | 33,673 | CLN,TYP: Use subsitutions in info docstrings | {
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----
screenshots of docs
![image](https://user-images.githubusercontent.com/33491632/79744668-aaf97280-82fe-11ea-95e6-7cc34eaf... | {
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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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"followers_url": "https://api.github.com... | 2 | 2020-04-20T14:35:50Z | 2020-09-02T15:43:17Z | 2020-09-02T15:43:17Z | NONE | null | 1. Retrieve a DataFrame column by attribute as a Series.
2. Modify an element of this series.
3. As expected the modification has no effect on the original DataFrame.
4. But it changes the Series that is retrieved from a column by attribute or with the 'loc' method.
5. In contrast the Series retrieved from a column... | {
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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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(Might be related to [33647](https://github.com/pandas-dev/pandas/issues/33647), though there localization does not seem to play a role)
- [x] I have confirmed this bug exists on the latest version of pandas.
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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/... | {
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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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E AttributeError: module 'numba' has no attribute 'targets'
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xref #33685
We have a _lot_ of methods for converting arguments to DTA/TDA/PA/DTI/TDI/PI methods to/from i8 representations. ATM these have slightly different behavior, which we should try to bring into sync (and then de-duplicate the code).
This PR just collects all those metho... | {
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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
When I try to join 3 dataframes with multiindices containing dat... | {
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totally sure what is going on here (is this a true memory leak?), and whether this fixes all issues, but it does strongly reduce memory usage as measured by `psutil`.
My tests have shown that there are two solutions that avoid growing memory
usage:
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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Yes.
I wish I could use pandas to:
create an additional column ` 'newc' ` of my dataframe `df` as `df['newc']` through rolling.apply on `df['cond']` with a custom function. The custom function requires two columns of `df`.
#### Describe the solution you'd ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33696 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33696/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33696/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33696/events | https://github.com/pandas-dev/pandas/issues/33696 | 603,879,235 | MDU6SXNzdWU2MDM4NzkyMzU= | 33,696 | DOC: pd.Categorical does not throw ValueError, converts to NaN instead | {
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] | closed | false | null | [] | null | 5 | 2020-04-21T10:14:49Z | 2020-06-24T15:30:32Z | 2020-06-24T15:30:32Z | NONE | null | My problem might be a bug or just a documentation issue. Consider this two-liner:
```python
import pandas as pd
print(pd.Categorical([*'abc'], categories=[*'ab']))
```
The output is:
```
[a, b, NaN]
Categories (2, object): [a, b]
```
According to the docs:
> All values of the Categorical are either in ... | {
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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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] | closed | false | null | [] | null | 3 | 2020-04-21T12:45:22Z | 2020-08-21T17:06:03Z | 2020-04-21T18:47:04Z | NONE | null | - [X] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33699 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33699/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33699/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33699/events | https://github.com/pandas-dev/pandas/issues/33699 | 603,992,826 | MDU6SXNzdWU2MDM5OTI4MjY= | 33,699 | BUG: read_csv with both names and parse_date raises 'NoneType' TypeError | {
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## Testcase ##
```python
import io
s = """A,B,\n1,2"""
pd.read_csv(io.StringIO(s), parse_dates=["B"], names=["B"])
```
raises:
```
--------------------------------------------------------------------------... | {
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I wish I could create pipelines in pandas, the way I do for sklearn. This seems to be feasible using pdpipe https://pdpipe.github.io/pdpipe/, so I wonder why that is not directly available in pandas
### Describe the solution you'd like
I'd like being able to wr... | {
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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.
---
In short, with Pandas 1.0.3 on Python 3.7.6, when I multiply `<NA>` (the Int64 nul... | {
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] | open | false | null | [] | null | 5 | 2020-04-21T15:19:46Z | 2020-09-03T01:47:07Z | null | CONTRIBUTOR | null | When one-hot encoding a pandas categorical column, with drop_first = True, there is no control over which value is dropped. So if I need to specify the reference value to drop, I can't use drop_first. I have to manually drop the columns that have been unnecessarily created.
I would like to enhance the get_dummies me... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] 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, a copy-pastable example
```python
import pandas as pd
df = pd.Data... | {
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pandas\core\arrays\datetimelike.py:1544: error: Signatures of "__isub__" and "__sub__" are incompatible | {
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... | open | false | null | [] | null | 2 | 2020-04-21T19:32:24Z | 2021-07-31T04:32:48Z | null | NONE | null | Not sure should I report this upstream to matplotlib to be honest but
The label correctly does not appear but the percent does,
```
percents = pd.Series(
data = [
0, # the same for None
10
],
index = [
'nothing',
'label'
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name = 'plot'
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`df['date'] = pd.to_datetime(df['date'])`
To a series in a day/month (no year) format but this bothered me so I did this:
`df['date'] = df['date'].apply(lambda row: pd.to_datetime(row + '/2017', format = '%d/%m/%Y'))`
But an arg would make this neater, ... | {
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- [x] closes #xxxx
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry / NA
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- [ EXISTS on v1.0.3] 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.
---
Pandas version:
```
In [9]: pd.__version__ ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33715 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33715/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33715/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33715/events | https://github.com/pandas-dev/pandas/pull/33715 | 604,339,812 | MDExOlB1bGxSZXF1ZXN0NDA2OTUzMDk0 | 33,715 | BUG: DTI/TDI/PI.where accepting incorrectly-typed NaTs | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
In addition to the bug in the title, this makes DTI accept datetime/dt64, TDI accept timedelta/td64, and PI accept Period. This brings these into cl... | {
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No logic should be changed here, just moved around. | {
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