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https://api.github.com/repos/pandas-dev/pandas/issues/41521 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41521/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41521/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41521/events | https://github.com/pandas-dev/pandas/issues/41521 | 893,454,616 | MDU6SXNzdWU4OTM0NTQ2MTY= | 41,521 | ENH: Add support to `read_json` to encode character escape hex codes to utf-8 characters | {
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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
# S3 (REQUIRES s3fs)
json_df = ... | {
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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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- generic.where. 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.
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https://api.github.com/repos/pandas-dev/pandas/issues/41524 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41524/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41524/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41524/events | https://github.com/pandas-dev/pandas/pull/41524 | 893,633,424 | MDExOlB1bGxSZXF1ZXN0NjQ2MTE2OTcy | 41,524 | Allow deprecate_nonkeyword_arguments to not specify version, show class name | {
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as request, ping @jreback @simonjayhawkins
I've removed the ability to pass an integer to `allowed_arguments` as it added complexity, was only used once in the codebase anyway, and wasn't even covered by tests
Now, if `version` is None... | {
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- [x] tests added / passed
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Also adds a convert_period option to lib.maybe_infer_objects
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See #34213.
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https://api.github.com/repos/pandas-dev/pandas/issues/41531 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41531/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41531/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41531/events | https://github.com/pandas-dev/pandas/pull/41531 | 893,802,058 | MDExOlB1bGxSZXF1ZXN0NjQ2MjU5ODU3 | 41,531 | REF: DataFrame._values return DTA/TDA where appropriate | {
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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/41532 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41532/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41532/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41532/events | https://github.com/pandas-dev/pandas/pull/41532 | 893,836,765 | MDExOlB1bGxSZXF1ZXN0NjQ2Mjg4NzI1 | 41,532 | REF: Grouping.grouper -> Grouping.grouping_vector | {
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next steps
move code in `str_extract` into `extract` into StringMethods
combine code in `_str_extract_noexpand` and `_str_extract_expand` into a `_str_extract` method on the array
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Wrong graph below
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There is https://github.com/pandas-dev/pandas/issues/37277 which is about the same error message but which isn't about the fact that this shows up in a common operation like joining. Maybe there is a way to make the join work without fixing the underl... | {
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~~draft as conflict with #41539~~ | {
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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
df = pd.DataFrame(
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---
This ideally should still return `datetime64[ns]` dtype
```
In [1]: df = DataF... | {
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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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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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- [x] 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
df.to_excel("output.xlsx")... | {
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```
before after ratio
[09f3bf80] [ec8f4b2d]
<master> <get_dummies>
+ 647±4ms 761±6ms 1.18 strings.Dummies.time_get_dummies('arrow_string')
SOME BENCHMARKS HAVE CHANGED SIGNIFICAN... | {
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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
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Just need to add `, optional`, so opening as good first issue | {
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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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I wish I could use pd.merge and keep the common columns just from either the left/right df instead of getting col_x/col_y.
#### Describe the solution you'd like
pd.merge should get a new parameter like - keep_common_columns_from - which can take three argument... | {
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```
AssetId int64
TimeStampCol datetime64[ns]
paramName1 object
paramName2 object
paramName3 object
```
My requirement is that I want to find the min of paramName1 over the period of past 1 hour data.
I'm form... | {
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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/41564 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41564/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41564/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41564/events | https://github.com/pandas-dev/pandas/issues/41564 | 895,275,385 | MDU6SXNzdWU4OTUyNzUzODU= | 41,564 | BUG: groupby().ffill() strips level names from MultiIndex on columns | {
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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 ... | {
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... | 3 | 2021-05-19T11:17:37Z | 2021-05-20T15:22:55Z | null | NONE | null | #### Is your feature request related to a problem?
When trying to interpolate a column with dtype integer with `method="linear"` the error message is not very descriptive (example to reproduce at the bottom of this issue):
```
ValueError: Invalid fill method. Expecting pad (ffill) or backfill (bfill). Got linear
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https://api.github.com/repos/pandas-dev/pandas/issues/41566 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41566/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41566/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41566/events | https://github.com/pandas-dev/pandas/pull/41566 | 895,331,371 | MDExOlB1bGxSZXF1ZXN0NjQ3NTY1OTU0 | 41,566 | DOC: redocument the `subset` arg in styler for clarity of use | {
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```
before after ratio
[896256ee] [1c883e0d]
<master> <bypass>
- 99.3±0.6ms 87.4±1ms 0.88 strings.Split.time_split('string', True)
- 89.6±0.3ms ... | {
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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.
---
Pandas's dtype `Int8Dtype` is converted to `object` when melted.
#### Code Sa... | {
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When using `.loc` to index into a dataframe whose index is not sorted, a `KeyError` is raised that indicates the key does not exist. But sorting the index allows the same `.loc` command to pull a range of values from the dataframe.
#### Describe the solution you'... | {
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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.
---
Possibly related to:
- #28283
- #35425
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- [x] closes #12997
- [x] tests modified
- [ ] Ensure all linting tests pass, see here for how to run them
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Ok, so this is a doozy AND it's not done, but it can be merged as ... | {
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... | 5 | 2021-05-19T19:49:52Z | 2021-05-25T17:34:31Z | null | NONE | null | I have a large csv file with 15k columns with non-obvious names, of which 14990 are floating point numbers. I'd like to load them as floats without `read_csv` having to spend the time divining their types.
`dtype` allows providing a `dict`, but making one with all the column names is tedious and not always possible.... | {
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... | open | false | null | [] | null | 0 | 2021-05-19T20:08:55Z | 2021-05-31T21:57:49Z | null | CONTRIBUTOR | 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.
---
```python
In [1]: import pandas as pd ... | {
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sqlalchemy: #38344.
pytest: #40656
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... | open | false | null | [] | null | 1 | 2021-05-20T11:19:44Z | 2021-08-20T05:46:58Z | null | NONE | null | Hey, I am using the linux environment on the raspberry pi 4 device and trying to install the pandas. I had ran almost these following commands one by one but none of them worked for me.
Command 1:
`sudo apt-get install python-pandas`
Command 2:
`python -m pip install pandas --upgrade`
Command-3:
`sudo pip3... | {
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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/41584 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41584/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41584/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41584/events | https://github.com/pandas-dev/pandas/issues/41584 | 896,951,703 | MDU6SXNzdWU4OTY5NTE3MDM= | 41,584 | BUG: GroupBy.transform() unexpectedly coerces columns to object dtype when there is another object dtype column | {
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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
df = pd.DataFrame({
'x'... | {
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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 pandas as pd
kwargs = {"start": "2020-01-... | {
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [x] whatsnew entry
This in turn will allow us to remove DatetimeArray.freq and TimedeltaArray.freq, which is ... | {
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[https://github.com/Jiezheng2018/pandas/blob/65bba0b599faac90ab063a1b93b8532cf2639893/pandas/tests/series/indexing/test_where.py#L143-L144](url)
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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.
---
```py
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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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[ 50.00%] ··· strings.Methods.time_replace ok
[ 50.00%] ··· ============== ==========
dtype
-------------- ----------
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] | closed | false | null | [] | null | 1 | 2021-05-20T20:11:49Z | 2021-05-20T20:25:23Z | 2021-05-20T20:25:08Z | NONE | null | Hello,
I found this weird behaviour when transforming a timezone aware datetime object into a pandas datetime using to_datetime. If I set the timezone before transforming I get an incorrect result. Here is a small code snippet on how I get this:
```
import pandas as pd
import datetime
import pytz
tz=pytz.ti... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41593 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41593/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41593/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41593/events | https://github.com/pandas-dev/pandas/pull/41593 | 897,453,072 | MDExOlB1bGxSZXF1ZXN0NjQ5NDYxODI3 | 41,593 | TYP: mypy fixups- something upgraded? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41594 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41594/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41594/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41594/events | https://github.com/pandas-dev/pandas/pull/41594 | 897,478,330 | MDExOlB1bGxSZXF1ZXN0NjQ5NDg0MTk0 | 41,594 | TYP and DOC: pd.merge accepts Series | {
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Didn't think a `whatsnew` entry was needed, and I skipped creating an issue, but will do so if required... | {
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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
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https://api.github.com/repos/pandas-dev/pandas/issues/41596 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41596/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41596/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41596/events | https://github.com/pandas-dev/pandas/issues/41596 | 897,529,067 | MDU6SXNzdWU4OTc1MjkwNjc= | 41,596 | PERF: groupby performance regression in 1.2.x | {
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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 numpy as np
impo... | {
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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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https://github.com/pandas-dev/pandas/blob/b3e335254f46a526ee3ce9bb757eac4011d9d1fe/pandas/core/groupby/generic.py#L1299-L1309
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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https://api.github.com/repos/pandas-dev/pandas/issues/41600 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41600/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41600/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41600/events | https://github.com/pandas-dev/pandas/pull/41600 | 897,857,086 | MDExOlB1bGxSZXF1ZXN0NjQ5ODA1OTc5 | 41,600 | [ArrowStringArray] TST/CLN: cleanup str.replace tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41601 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41601/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41601/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41601/events | https://github.com/pandas-dev/pandas/pull/41601 | 897,889,858 | MDExOlB1bGxSZXF1ZXN0NjQ5ODMzMTU0 | 41,601 | [ArrowStringArray] TYP: use future annotations more | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41602 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41602/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41602/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41602/events | https://github.com/pandas-dev/pandas/issues/41602 | 897,981,273 | MDU6SXNzdWU4OTc5ODEyNzM= | 41,602 | BUG: case argument ignored when regex is False in Series.str.replace | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/41604 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41604/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41604/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41604/events | https://github.com/pandas-dev/pandas/issues/41604 | 898,107,773 | MDU6SXNzdWU4OTgxMDc3NzM= | 41,604 | QST: | (or) behavior when working with two series that have different indexes | {
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... | 1 | 2021-05-21T14:37:00Z | 2021-05-21T16:32:57Z | null | NONE | null | - [x] I have searched the [[pandas] tag](https://stackoverflow.com/questions/tagged/pandas) on StackOverflow for similar questions.
- [x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
When using the | operation between two dataframes, th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41605 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41605/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41605/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41605/events | https://github.com/pandas-dev/pandas/issues/41605 | 898,185,485 | MDU6SXNzdWU4OTgxODU0ODU= | 41,605 | QST: Was it intended to not sort the columns anymore when creating DataFrame from the list of dictionaries? | {
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```python
import pandas as pd
d1 = {'b':1,'a':2,'c':3}
d2 = {'a':1,'c':2,'b':3}
print(pd.DataFrame([d1, d2]))
# output from pandas 0.24.2:
# a b c
# 0 2 1 3
# 1 1 3 2
# output from pandas 1.1.5
# b a c
# 0 1 2 3
# 1 ... | {
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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- [x] closes #15613
- [x] closes #15829
- [x] closes #15891
- [x] closes #15898
- [x] closes #16018
- [x] closes #16174
- [x] closes #16309
- [x] tests added / passed
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```python
import pandas as pd
reveal_type(pd.Series(range(3)).interpolate('linear'))
```
then on master we get:
```console
$ mypy t.py
t.py:3: note: Revealed type is 'Any'
```
while here
```console
$ mypy t.py
t.py:3: note: Revealed type is 'Union[pandas.core.series.Series, None]'
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#41555 was merged before i got a chance to push these suggested edits
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It is often not clear which methods a "file-like object" needs to implement to be compatible with `read/to_*`.
#### Describe the solution you'd like
Define multiple `typing.Protocol`s to make clear which methods need to be implemented, similar to python/typesh... | {
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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
A big partial-indexing test is split and has a non-trivial diff, but the only _actual_ chan... | {
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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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"id": ... | closed | false | null | [] | null | 1 | 2021-05-22T05:48:48Z | 2021-06-14T06:07:46Z | 2021-06-14T06:07:46Z | CONTRIBUTOR | null | The proposed `Styler.to_latex` is marginalised in the docs. Needs greater visibility through cross referencing with `io.rst`.
Possibly also adding to the `Styler` class description.
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https://api.github.com/repos/pandas-dev/pandas/issues/41614 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41614/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41614/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41614/events | https://github.com/pandas-dev/pandas/issues/41614 | 898,733,357 | MDU6SXNzdWU4OTg3MzMzNTc= | 41,614 | DOC: use shared docstrings for repeated args in Styler methods | {
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- [ ] `subset` and `props` #44454 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41615 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41615/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41615/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41615/events | https://github.com/pandas-dev/pandas/pull/41615 | 898,781,862 | MDExOlB1bGxSZXF1ZXN0NjUwNjEyMjA0 | 41,615 | CLN: various related to numeric indexes | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2021-05-22T11:22:03Z | 2021-06-03T23:31:22Z | 2021-06-03T23:24:05Z | CONTRIBUTOR | null | A few bits to make #41153 smaller.
Also fixes an issue with the current implementation of NumericIndex._engine_type:
The implementation currently uses `self.dtype.type`, which is a problem when we are given platform-specific dtypes, e.g. `np.intc`.
For example:
```python
>>> d1 = np.dtype(np.intc)
>>> d1
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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/41617 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41617/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41617/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41617/events | https://github.com/pandas-dev/pandas/issues/41617 | 898,825,817 | MDU6SXNzdWU4OTg4MjU4MTc= | 41,617 | BUG: Date offset on numpy datetime64 does not work for week and month offsets | {
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"description": "Arithmetic, Comparison, ... | open | false | null | [] | null | 2 | 2021-05-22T15:29:18Z | 2021-08-21T01:25:52Z | null | 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.
---
#### Code Sample
```python
import numpy as np
import pandas as pd
# test d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41618 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41618/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41618/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41618/events | https://github.com/pandas-dev/pandas/pull/41618 | 898,827,221 | MDExOlB1bGxSZXF1ZXN0NjUwNjQ1ODA0 | 41,618 | REF: _try_cast | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41619 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41619/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41619/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41619/events | https://github.com/pandas-dev/pandas/pull/41619 | 898,848,579 | MDExOlB1bGxSZXF1ZXN0NjUwNjYxNzE2 | 41,619 | REF: type change `escape` in `Styler.format` to str to allow "html" and "latex" | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2021-05-22T17:36:03Z | 2021-05-27T21:23:16Z | 2021-05-27T15:09:07Z | CONTRIBUTOR | null | Change is made ahead of 1.3.0 to pre-empt the addition of `escape_latex` and to avoid name ambiguity.
This is not user facing since the `escape` kwarg was added for 1.3.0 only recently.
**Alternative**
If instead of having separate `escape_html` and `escape_latex` kwargs we could have `escape={None, 'html', 'l... | {
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