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https://api.github.com/repos/pandas-dev/pandas/issues/40719 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40719/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40719/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40719/events | https://github.com/pandas-dev/pandas/issues/40719 | 847,813,580 | MDU6SXNzdWU4NDc4MTM1ODA= | 40,719 | BUG: tm.assert_frame_equal fails to raise near int64 implementation bounds | {
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"description": "pandas testing functions... | open | false | null | [] | null | 4 | 2021-04-01T03:23:04Z | 2021-05-21T17:28:43Z | null | MEMBER | null | passing check_exact=True makes it raise as expected, but I was surprised to find it necessary. This likely hides some bugs.
Motivating example adapted from tests.groupby.test_function.test_cummin.
```
dtype = np.dtype(np.int64)
min_val = np.iinfo(dtype).min
base_df = DataFrame({"A": [1, 1, 1, 1, 2, 2, 2, 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
```python
import pandas as pd
print(pd.__version__)
data = {
'groupby_c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40721 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40721/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40721/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40721/events | https://github.com/pandas-dev/pandas/issues/40721 | 848,187,748 | MDU6SXNzdWU4NDgxODc3NDg= | 40,721 | BUG: to_sql performance decreases dramatically with more than 10 columns (SQL Server) | {
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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.
---
Found an interesting issue regarding the performance of to_sql() in combination ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40722 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40722/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40722/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40722/events | https://github.com/pandas-dev/pandas/issues/40722 | 848,229,856 | MDU6SXNzdWU4NDgyMjk4NTY= | 40,722 | BUG: NaT comparison with numpy array doesn't work element-wise | {
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"followers_url": "https://api.github.com... | 2 | 2021-04-01T08:38:21Z | 2021-04-01T18:17:35Z | 2021-04-01T18:17:35Z | MEMBER | null | I noticed the following behaviour:
```
In [43]: np.array([1, 2, 3]) == pd.Timedelta("1 days")
Out[43]: array([False, False, False])
In [44]: np.array([1, 2, 3]) == pd.Timedelta("nat")
Out[44]: False
```
@jbrockmendel do you know if this is something we control? (it's similar as the numeric/string compariso... | {
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"followers_url": "https://api.github.com... | 1 | 2021-04-01T09:14:42Z | 2021-04-01T18:17:40Z | 2021-04-01T18:17:35Z | MEMBER | null | Closes #40722
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The is_first_col function was deprecated in Matplotlib 3.4 and will be removed two minor releases later. Used ax.get_subplotspec().is_first_col() instead.
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https://api.github.com/repos/pandas-dev/pandas/issues/40725 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40725/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40725/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40725/events | https://github.com/pandas-dev/pandas/pull/40725 | 848,348,424 | MDExOlB1bGxSZXF1ZXN0NjA3MzAwMjE1 | 40,725 | BUG: [ArrowStringArray] Recognize ArrowStringArray in infer_dtype | {
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on master
```
>>> pd.__version__
'1.3.0.dev0+1180.gdd697e1cca'
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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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Discovered by investigating the arithmetic benchmarks at https://github.com/pandas-dev/pandas/issues/39146#... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40728 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40728/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40728/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40728/events | https://github.com/pandas-dev/pandas/pull/40728 | 848,438,676 | MDExOlB1bGxSZXF1ZXN0NjA3Mzc3NTE2 | 40,728 | REF: only fallback to masked op for object dtype | {
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From what I understand, I *think* that, in theory, we only need to fallback to a masked ver... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40729 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40729/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40729/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40729/events | https://github.com/pandas-dev/pandas/issues/40729 | 848,493,310 | MDU6SXNzdWU4NDg0OTMzMTA= | 40,729 | BUG: Cannot convert from `object` numeric strings to Float64Dtype | {
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... | 1 | 2021-04-01T13:57:25Z | 2021-08-19T03:46:38Z | null | NONE | null | #### Code Sample, a copy-pastable example
```python
import pandas as pd
series = pd.Series(['1', '2', '3', '4'], dtype='object')
series.astype(pd.Float64Dtype())
```
the above produces a `TypeError: object cannot be converted to a FloatingDtype`:
<details>
```python-traceback
------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40730 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40730/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40730/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40730/events | https://github.com/pandas-dev/pandas/issues/40730 | 848,501,764 | MDU6SXNzdWU4NDg1MDE3NjQ= | 40,730 | BUG: qcut fails with Float64Dtype | {
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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
series = pd.Series([1.0, 2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40731 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40731/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40731/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40731/events | https://github.com/pandas-dev/pandas/pull/40731 | 848,528,659 | MDExOlB1bGxSZXF1ZXN0NjA3NDUzMTY0 | 40,731 | ENH: `Styler.to_latex` conversion from CSS | {
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This PR only adds the `_parse_latex_css_conversion` function and associated `convert_css` argument.
Below is the relevant section added to the user guide:
![Screen Shot 2021-04-01 at 16 37 12](https://user-im... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40732 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40732/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40732/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40732/events | https://github.com/pandas-dev/pandas/issues/40732 | 848,532,889 | MDU6SXNzdWU4NDg1MzI4ODk= | 40,732 | BUG: Dtypes change when using `replace` with nullable dtypes | {
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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
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There are a few more ... | {
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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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"followers_url": "https://api.github.com/users/j... | 1 | 2021-04-01T18:53:48Z | 2021-04-02T06:58:52Z | 2021-04-01T21:24:52Z | CONTRIBUTOR | null | minor changes here to decouple the render dict `d` into sections for code readability.
this is also first part of other changes to improve readability of this method.
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See https://github.com/pandas-dev/pandas/pull/40197 for a very similar issue
Task here is:
1. read through #40197, make sure you understand it
2. try doing the s... | {
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Above a certain length, calling `.std()` and `.var()` on a Series or DataFrame fails for float types. The is easily shown with float16 in the following example:
```python
>>> import pandas as pd
>>> import numpy as np
>>> zeros = 32760
>>> ones = 32759
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#### Is your feature request related to a problem?
I was trying to perform a method chained logical mask without an intermediate assignment and found the method of passing the logical mask or callable to `.loc` to be verbose. I am trying to reduce that verbosity.
Examples
```python
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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
- [ ] whatsnew entry
xref #40386 (does not close) | {
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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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### Key Points
- All rendering and formatting methods moved to `style_render.py`:
```
class StylerRenderer:
jinja2_loader
def render()
def format()
def _translate()
def _compute()
+ their mod... | {
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] | closed | false | null | [] | null | 1 | 2021-04-02T11:36:23Z | 2021-05-01T01:10:49Z | 2021-04-30T06:26:33Z | NONE | null | - [x] closes #30275
- [x] tests added / passed
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Enhancement for Xlsxwriter to enable the usage of `set_column` for datetime columns for se... | {
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we may want to combine this with #39908, and merge #40708 before #39908
#39908 makes changes to the user facing api that affects the existing StringDtype so that may need an separate section in the release notes.
other sections of the documentation may also n... | {
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"d... | open | false | null | [] | null | 0 | 2021-04-02T12:55:29Z | 2021-04-06T01:53:02Z | null | CONTRIBUTOR | null | The loop variable `engine` should probably be used here instead of `self.engine`:
https://github.com/pandas-dev/pandas/blob/1367cacd7c90694a5d0563d46dd10a1e8a3ea8b3/pandas/tests/computation/test_eval.py#L466
Making this change leads to a few failed tests:
```
======================================================... | {
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if we try to add directly to the parametrization of the existing tests we get `ImportError` on environments without pyarrow installed. https://github.com/pandas-dev/pandas/pull/40679#discussion_r603345758 | {
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I tried to do an outer merge two dataframes and I observed that `left_only` values are missing but if I take a subset of those data `left_only` values appear
unfortunately I am not allowed to share those data and I have not yet found a minimal test case
**From full dataset**
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I wish I could keep rows in a dataframe where any data point is missing while using pivot_table method.
#### Describe the solution you'd like
`pivot_table` should get a new parameter `keep_na` that enables keeping the rows of the dataframe containing NANs. Alt... | {
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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
import numpy as np
df = pd.DataFra... | {
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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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Task is:
- remove `keep-runtime-typing` from:
https://github.com/pandas-dev/pandas/blob/cc84a2383c641998d4817cfaeb33c64f017b7454/.pre-commit-config.yaml#L57
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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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But, an unintended consequence is that the build takes*much* longer (this the 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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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xref #40719
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So checking if pinning this packa... | {
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#### Code Sample, a copy-pastable example
```python
import pandas as pd
import matplotlib.pyplot as plt
# Data is from the pandas plotting demo
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I'm reading CSV historical prices data with `pandas.read_csv(...),` but the problem is with reading the dates column - I want the values to be in `pandas.Timestamp` type, but the method returns them in `datetime` instead.
_Question:_
**What's wrong here?**
Why does pandas return `<class 'da... | {
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Also makes the return value for `factorize_from_iterables` clearer and easier to read.
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Behavior:
Wanted:
there is df.s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40781 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40781/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40781/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40781/events | https://github.com/pandas-dev/pandas/issues/40781 | 850,225,467 | MDU6SXNzdWU4NTAyMjU0Njc= | 40,781 | BUG: xlim and ylim not restricting plot area | {
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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
df = pd.read_csv(myfile)... | {
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I think this should make it easier to extend them, so it should be straightforward to port over the remaining ones in code_checks.sh without having to keep increasing the number of hooks
It also reduces the total number of distinct ch... | {
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CI failures due to style checks are really annoying, so I think it's worth adding a check to ensure they're in-sync. There's already a hook with `pyyaml` as additional dependency, so that environment will be reused for ... | {
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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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#### Problem description
Today I get a error from AutoML in Azuer is `Error: The specified time column, 'SolarDate', contains rows with duplicate timestamps. If your data contains multiple time series, review the time series identifier column setting to define the time series identifiers for your data. If the data... | {
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#### Code Sample, a copy-pastable example
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Reverts #40768, as it is now fixed upstream | {
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```python
import pandas as pd
inplace: bool
reveal_type(pd.DataFrame([1,2,3]).reset_index(0, inplace=True, col_fill='a'))
```
then on `master`, the last line would be revelead as `Revealed type is 'Union[pandas.core.frame.DataFrame, None]'`. With the current changes, it will be revealed... | {
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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
imp... | {
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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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Changes here are from PEP585 (e.g. List[str] -> list[str]) and from PEP604 (Optional[str] -> str | None), both of which are only applied in the presence of from __future__ import annotations. Some imports became unused after this so those have been removed.
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Changes here are from PEP585 (e.g. List[str] -> list[str]) and from PEP604 (Optional[str] -> str | None), both of which are only applied in the presence of from future import annotations. Some imports became unused after this so those have been removed.
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Changes here are from PEP585 (e.g. List[str] -> list[str]) and from PEP604 (Optional[str] -> str | None), both of which are only applied in the presence of from future import annotations. Some imports became unused after this so those have been removed.
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Changes here are from PEP585 (e.g. List[str] -> list[str]) and from PEP604 (Optional[str] -> str | None), both of which are only applied in the presence of from future import annotations. Some imports became unused after this so those have been removed.
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#### Location of the documentation
[pandas.to_datetime.html](https://pandas.pydata.org/docs/reference/api/pandas.to_datetime.html)
#### Documentation problem
`to_datetime` outputs different types depending on if the timezones ... | {
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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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- [x] I have confirmed this bug exists on the latest version of pandas.
#### Code Sample, a copy-pastable example
```python
import numpy
import pandas
class CustomDataFrame(pandas.DataFrame):
@property
def _constructor(self) -> ty... | {
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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://api.github.com/repos/pandas-dev/pandas/issues/40813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40813/events | https://github.com/pandas-dev/pandas/pull/40813 | 851,777,288 | MDExOlB1bGxSZXF1ZXN0NjEwMTQxOTQ0 | 40,813 | BUG: Support numpy.random.Generator as random_state input | {
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- [x] tests added / passed
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In order to address #38100 , I'd like to update `pandas.core.common.random_state` and anything that uses it to use the new and improved `numpy.random` API introduced in NumPy 1.17. That change is not the subject of this issue/discussion.
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Source : https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_csv.html | {
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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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- [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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