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https://api.github.com/repos/pandas-dev/pandas/issues/42821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42821/events | https://github.com/pandas-dev/pandas/issues/42821 | 956,913,343 | MDU6SXNzdWU5NTY5MTMzNDM= | 42,821 | ENH: change default min_count value for pandas.core.resample.Resampler.sum() | {
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When using, pandas.core.resample.Resampler.sum(), the behavior I would expect based on using other resampler aggregation methods (e.g. mean, median,) is that if there is a gap in the time series values should be filled with NaNs, instead they are filled with 0's bec... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42823/events | https://github.com/pandas-dev/pandas/pull/42823 | 956,953,606 | MDExOlB1bGxSZXF1ZXN0NzAwNDcxNTgw | 42,823 | BUG: Pass copy argument to expanddim constructor in concat. | {
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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/42824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42824/events | https://github.com/pandas-dev/pandas/pull/42824 | 956,962,209 | MDExOlB1bGxSZXF1ZXN0NzAwNDc4OTY3 | 42,824 | PERF: column_arrays | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.loc.html?highlight=loc#pandas.DataFrame.loc
#### Documentation problem
Surprisingly, the following code works:
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import pandas as pd
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- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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A possible step toward #35725. Internally, agg may use apply and apply may use agg. Straightening these out so ... | {
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we did this in 1.3 for DataFrame reductions and GroupBy reductions. AFAIK this is the las... | {
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a small step towards #40686 | {
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I wish there was a way to preserve verticle screen space when I'm inspecting 'tall' data frames. These are data frames with many observaitons but few columns. Thus, they're _tall_. I use the word tall to avoid conflating with _long_ data.
#### Describe the soluti... | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/42839 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42839/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42839/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42839/events | https://github.com/pandas-dev/pandas/pull/42839 | 957,411,882 | MDExOlB1bGxSZXF1ZXN0NzAwODQzMTA4 | 42,839 | BUG: `styler.hide_columns` now hides the index name header row | {
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- [x] closes #42190 (stale pr)
Fixes `hide_columns` so that the index header row is also hidden alongside column headers.
Can be back ported to 1.3.2
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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.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
dfx =... | {
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- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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The idea is to incrementally move all of the relevant functions to operate block-wise, at w... | {
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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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Targeting 1.4 and no whatsnew since only a regression on master.
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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
Hi,
Following code below was working with pandas 1.2.5.
It raises now an error w... | {
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... | open | false | null | [] | null | 9 | 2021-08-01T23:25:11Z | 2021-10-21T02:01:54Z | null | NONE | null | _Note_: This is my first attempt to contribute code to pandas, so any correction is more than welcome.
This proposal adds a new parameter to the bar and barh plots, `positioning`, with the values:
- sequential: The index values are added sequentially (`x=0, 1, 2, 3...`) and only the tick label shows the value.
-... | {
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- [ ] closes #xxxx
- [ ] 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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#### Code Sample, a copy-pastable example
```python
import pandas as pd
index = ["Firefox", "Chrome", "Safari", "IE10", "Konqueror"]
index2 = [1, 2, 3, 4, 5]
df = pd.DataFrame(
{
"http_status": [200, 200, 404, 404, 301],
"response_time": [0.04, 0.02, 0.07, 0.08, 1.0],
},
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<!-- END pr-commits -->
## Base PullRequest
default branch (https://github.com/pandas-dev/pandas/tree/master)
## Command results
<details>
<summary>Details: </summary>
<details>
<summary><em>add path</em></summary>
```Shell
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https://api.github.com/repos/pandas-dev/pandas/issues/42849 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42849/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42849/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42849/events | https://github.com/pandas-dev/pandas/issues/42849 | 957,884,537 | MDU6SXNzdWU5NTc4ODQ1Mzc= | 42,849 | BUG: GroupBy's quantile incompatible with pd.NA | {
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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.
---
Firstly, here's a working example using the default dtypes:
```python
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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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Trying to implement a demo from the tutorial "Art of Pandas"
Here is my code that should replace an element in the array
```
import pandas as pd
arr = pd.array([2, 5, 3], dtype="int")
arr[0] = [1]
```
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```
In [1]: s = np.random.rand(1000, 2).astype([("a", float), ("b", float)]); r = s.view(np.recarray)
In [2]: %timeit s["a"]
69.4 ns ± 0.0733 ns per loop (mean ± std. dev. of 7 runs, 10000000 loops each)
In [3]: %timeit r["a"]
1.2 µs ± 10 ns pe... | {
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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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- [ ] I have confirmed this bug exists on the latest version of pandas.
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I don't really know how to describe this or if it is as expected but it seems strange behaviour to me:
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https://github.com/pandas-dev/pandas/blob/3fe8e24a17170ad2296ecd81ba60e23cee763173/pandas/core/arrays/string_arrow.py#L63-L65
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Pandas provides DataFrameGroupBy.head() and tail(), which efficiently slice the beginning and end of each group while preserving the order and index. I would like to be able to do a general row slice with the same properties. DataFrame has head(), tail() and iloc th... | {
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While the discussion on how to fix this is still ongoing, a warning will help users to at least know about this and take the appropriate precautions.
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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.
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#### Code Sample, a copy-pastable example
Run python as PYTHONOPTIMIZE, optio... | {
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https://pandas.pydata.org/docs/reference/api/pandas.io.formats.style.Styler.to_latex.html
#### Documentation problem
I think the set of packages needed to get this to work should be more clearly defined, given how different peoples' Latex setups are. For instance, the current... | {
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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.
---
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- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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- [x] 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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Currently `searchsorted` is supported for `Series` and `Index` objects, however I wish to be able to use it with `DataFrame` objects as well.
#### Describe the solution you'd like
I'd like to be able to call `DataFrame.searchsorted(value, side, sorter)` like i... | {
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Ref: [ARROW-13074](https://issues.apache.org/jira/browse/ARROW-13074?page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel&focusedCommentId=173... | {
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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
Just a tiny addition to the cookbook section of the User Guide.
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https://api.github.com/repos/pandas-dev/pandas/issues/42875 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42875/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42875/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42875/events | https://github.com/pandas-dev/pandas/issues/42875 | 960,015,703 | MDU6SXNzdWU5NjAwMTU3MDM= | 42,875 | BUG: wrong/confusing error message in DataFrame.take with a scalar indexer | {
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In [4]: df = pd.DataFrame({'a': [1, 2, 3]})
In [5]: df.take(1)
...
~/scipy/pandas/pandas/core/indexes/range.py in take(self, indices, axis, allow_fill, fill_value, **kwargs)
433 ) -> Int64Index:
434 with rewrite_exception("Int64Index", type(self).__name__):
--> 435 return ... | {
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The docs of `pandas.Series.unique()` clearly state that the function does NOT sort the elements. Differently, `numpy.unique()` sorts the elements. What is the reason behind this counterintuitive difference? It is quite unexpected and deemed to create nasty bugs in code -... | {
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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
impor... | {
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Converting a sparse Series to a `scipy.sparse.coo_matrix` could be much faster. I think the `get_indexer` function defined in [`_to_ijv`](https://github.com/pandas-dev/pandas/blob/master/pandas/core/arrays/sparse/scipy_sparse.py#L22) adds unnecessary complexity.
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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({
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This updates a bunch of tests that are unnecessarily using chained assignment. Outside tests specifically about indexing, I think it's better/cleaner to use the more idiomatic single .loc call (and also makes it easier to change the behavio... | {
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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] 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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For example, consider the following `getitem` operation where we have both a row and column indexer:
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df = pd.DataFrame(np.random.randn(10, 4), columns=["a", "b", "c", "d"])
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- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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- [ ] 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/2018/0... | {
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This will probably need to be done with a deprecation, this is just to to clarify which tested behaviors would change. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42894 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42894/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42894/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42894/events | https://github.com/pandas-dev/pandas/pull/42894 | 961,170,042 | MDExOlB1bGxSZXF1ZXN0NzA0MTI3NTU3 | 42,894 | TST: add read_json test with date values GH33787 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42895 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42895/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42895/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42895/events | https://github.com/pandas-dev/pandas/issues/42895 | 961,218,732 | MDU6SXNzdWU5NjEyMTg3MzI= | 42,895 | BUG: DataFrame[Int64].mean().dtype is object, should be Float64 | {
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... | 9 | 2021-08-04T23:38:27Z | 2021-11-07T15:33:42Z | null | MEMBER | null | This breaks the last corner case I want to test for #33036.
```
arr = np.random.randn(4, 3).astype("int64")
df = pd.DataFrame(arr).astype("Int64")
df.iloc[:, 1] = pd.NA # <-- incorrectly casts to object, lets cast back and ignore that for now
df = df.astype("Int64")
res = df.mean()
>>> res
0 0.0
1 ... | {
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Continuation of https://github.com/pandas-dev/pandas/pull/42284
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- [ ] tests added / passed
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... | closed | false | null | [] | null | 2 | 2021-08-05T02:50:10Z | 2021-08-05T04:08:31Z | 2021-08-05T04:08:31Z | NONE | null | i have a .py document work ok in before edition, but fail in 1.3.1
these two sentence fail:
a = abc.loc[:, ['name', 'gl', 'time']]
output = a.groupby(['name']).sum().reset_index()
it run ok before, but under pandas edition 1.3.1, it report fail.
i found output is not what i want , it only have one serie... | {
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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
import... | {
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#### Acceptable alternative
One could explicitly call a non-existing key with .map() instead of .replace(). And this would serve as a good alternat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42902/events | https://github.com/pandas-dev/pandas/issues/42902 | 961,623,331 | MDU6SXNzdWU5NjE2MjMzMzE= | 42,902 | BUG: groupby.ohlc returns Series rather than DataFrame if input is empty | {
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- [x] I have confirmed this bug exists on the latest version of pandas. (tested 1.3.1)
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
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- [x] I have confirmed this bug exists on the latest version of pandas.
---
When you mix `resample` with `groupby` and try to use the `agg` method to supply multiple functions to either a DataFrameGroupBy or SeriesGroupBy, Python suddently exi... | {
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When saving a `df` that has been style into excel, compiler return
> KeyError: "['A'] not in index"
import pandas as pd
import numpy as np
def color_negative_red(value):
if value < 0:
color = 'red'
elif value > 0:
color = 'green'
else:
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https://pandas.pydata.org/docs/reference/api/pandas.core.groupby.DataFrameGroupBy.transform.html
#### Documentation problem
In my eyes, the documentation makes it very unclear how `func` (which is also mislabeled `f` in the parameter descriptions) is actually applied to each ... | {
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- [x] 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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- [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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Continuation of:
* https://github.com/pandas-dev/pandas/pull/42284
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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
Triggers with command ``@github-actions benchmark -b ^regexgoeshere``(doesn't work rn, nee... | {
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I have two columns named as Words and Labels . I wanna generate a new column which specify the words of the same sentences as an unique id . I have the words and labels colum... | {
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Indexed data on series types does not support inverse indexing (like lists in Python).
#### Describe the solution you'd like
In the Series type, I wish negative index to count data from the back.
#### Additional context
```python
r = [1, 2]
ser = pd.Se... | {
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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.
---
```python
import pandas as pd
print(pd.__version__)
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... | 5 | 2021-08-06T14:02:50Z | 2021-08-15T17:45:25Z | null | NONE | null | #### Is your feature request related to a problem?
Pandas does not allow anti-joins. It would be helpful to have these added
Pyspark has implemented this on its 'join' command.
https://spark.apache.org/docs/latest/sql-ref-syntax-qry-select-join.html
#### Describe the solution you'd like
Add anti-left and a... | {
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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.
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---
**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/42919 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42919/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42919/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42919/events | https://github.com/pandas-dev/pandas/pull/42919 | 962,890,195 | MDExOlB1bGxSZXF1ZXN0NzA1NjE0NzMy | 42,919 | COMPAT: Support fastparquet 0.7.1 | {
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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
Also adds support for ``use_nullable_dtypes`` keyword. Technically, its not our enhancemen... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42920 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42920/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42920/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42920/events | https://github.com/pandas-dev/pandas/pull/42920 | 962,999,259 | MDExOlB1bGxSZXF1ZXN0NzA1NzA2ODQ2 | 42,920 | BUG: read_fwf raise if len colspec doesnt match len names | {
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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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