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https://api.github.com/repos/pandas-dev/pandas/issues/36317 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36317/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36317/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36317/events | https://github.com/pandas-dev/pandas/pull/36317 | 700,408,688 | MDExOlB1bGxSZXF1ZXN0NDg2MDUxNTY2 | 36,317 | PERF: constructing string Series | {
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Performance example:
```python
>>> x = np.array([str(u) for u in range(1_000_000)], dtype=object)
>>> %timeit pd.Series(x, dtype=str)
344 ms ± 59.7 ms per loop # v1.1.0
157 ms ± 7.04 ms per loop # after #35519
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```
dti = pd.date_range("2016-01-01", periods=3)
target = dti.astype(object)
>>> dti.get_indexer_non_unique(target)
(array([-1, -1, -1]), array([-1, -1, -1]))
>>> dti.get_indexer(targe... | {
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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
The `dropna=True` case runs
```python
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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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Performance example:
```python
>>> x = np.array([str(u) for u in ra... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Was fixed in the past. Added test to avoid regression
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https://api.github.com/repos/pandas-dev/pandas/issues/36327 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36327/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36327/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36327/events | https://github.com/pandas-dev/pandas/issues/36327 | 700,536,218 | MDU6SXNzdWU3MDA1MzYyMTg= | 36,327 | BUG: Get wrong result when groupby category column with dropna=False | {
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... | 4 | 2020-09-13T09:48:31Z | 2021-01-21T04:25:26Z | null | NONE | null | I have confirmed this bug exists on the master branch of pandas.
```python
# Your code here
ser = pd.Series([1., 1., 1., 1.])
cat = pd.Categorical(['a', 'b', 'c', np.nan])
print(ser.groupby(cat, dropna=False).sum())
```
```
# output:
a 1.0
b 1.0
c 1.0
dtype: float64
```
#### Expected Output... | {
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- [ ] Look into moving try-except to `_get_value`
- [ ] Handle remaining hashable cases in try-except. | {
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- [ ] Maybe use is_list_like/is_dict_like
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- [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/... | {
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https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#running-the-performance-test-suite
**Note**: You can check the latest versions of the docs on `master` [here](https://pandas.pydata.org/docs/dev/).
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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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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#### Code Sample, a copy-pastable example
`data.csv`:
```csv
, Q1, Q1, ... | {
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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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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
>>> import pandas as pd
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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
d = pd.DataFrame([[1,2,3],... | {
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https://pandas.pydata.org/docs/dev/reference/api/pandas.read_csv.html
#### Documentation problem
The new `storage_options` keyword for `read_csv` and `read_table` is not documented in the docstring.
#### Suggested fix for documentation
Add docstring
@martindurant
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- [x] closes #36361
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Enhanced some docstrings for time-series related methods; mainly `asfreq`. Namely:
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Maybe something related to `index.get_loc(some_int)` can be a non-integer? | {
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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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#### Code Sample, a copy-pastable example
```python
In [23]: df2 = pd.DataFram... | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- Remove some leftover implementation after https://github.com/pandas-dev/pandas/pull/36240
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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 want to apply chained operations on the same groupby groups without having to actually make identical costly groupby calls before each operation. The Related problem is available on the following SO question:
https://codereview.stackexchange.com/questions/24922... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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#### Code Sample, a copy-pastable example
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import pandas as pd
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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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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Previously, some of the checks in `code_checks.sh` ran unrestricted on all the
contents of the repository root (recursively), so that if any files extraneous
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1. pandas/tests/scalar/test_na_scalar.py
2. pandas/tests/scalar/timestamp/test_arithmetic.py
3. pandas/tests/scalar/timestamp/test_constructors.py | {
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- [x] tests added / passed
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Added a test to avoid regression | {
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As of the latest verison of master, `read_hdf()` does not support generic buffers as input, and raises a `NotImplementedError` if one is passed in. This stems from line 374 of `pandas/pandas/io/pytables.py`.
#### Describe the solution you'd like
There's alrea... | {
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Need #36298 first. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36395 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36395/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36395/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36395/events | https://github.com/pandas-dev/pandas/issues/36395 | 702,598,333 | MDU6SXNzdWU3MDI1OTgzMzM= | 36,395 | BUG: indexing with DataFrame with nullable boolean dtype | {
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#### Problem
I often filter my data through comparison with given values, this breaks using pd.NA.
```python
import pandas as pd
from numpy import nan
from pandas import NA
NA == 1, nan == 1
>> (<NA>, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36397 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36397/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36397/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36397/events | https://github.com/pandas-dev/pandas/issues/36397 | 702,803,596 | MDU6SXNzdWU3MDI4MDM1OTY= | 36,397 | BLD/CI: fix arm64 builds | {
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these are failing (and have been for a while).
I believe we *can* now use the numpy wheels so this should make this build fast enough to include in the main matrix (and avoid using the often ignored allow_failures).
- [ ] use wheels for numpy
- [ ]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36399 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36399/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36399/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36399/events | https://github.com/pandas-dev/pandas/pull/36399 | 702,909,469 | MDExOlB1bGxSZXF1ZXN0NDg4MTA5MTky | 36,399 | CLN: remove trailing commas for black update | {
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Checked the following files to make sure they are ready for black :
pandas/tests/scalar/timestamp/test_arithmetic.py
pandas/tests/scalar/timestamp/test_constructors.py
pandas/tests/series/methods/test_argsort.py
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Previously in ``_typing.py`` we had the alias ``IndexLabel``, which contained ``Optional``.
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closes #34149 and
closes #30041
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] | closed | false | null | [] | null | 2 | 2020-09-16T19:43:19Z | 2020-09-23T12:15:03Z | 2020-09-23T12:15:03Z | NONE | null | I have a matrix of 1000*285 where 285 is my feature size which contain numerical and categorical features. The range of values are in (-15,32). When I use "dups = df.duplicated()" It is returning rows that are NOT duplicate. | {
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... | 1 | 2020-09-16T20:10:05Z | 2020-09-17T07:54:29Z | null | MEMBER | null | #### Is your feature request related to a problem?
class DataFrameFormatter seems mostly to target console formatting, while it plays a role of the mediator for ``to_latex`` and ``to_html`` conversions.
It is noticeable, that some kwargs, like ``table_id``, ``render_links`` are pertaining to html only. Meanwhile da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36408 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36408/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36408/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36408/events | https://github.com/pandas-dev/pandas/issues/36408 | 703,120,844 | MDU6SXNzdWU3MDMxMjA4NDQ= | 36,408 | CLN: err.orig in DataFrame.to_sql seems redundant | {
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```python
except exc.SQLAlchemyError as err:
# GH34431
msg = "(1054, \"Unknown column 'inf' in 'field list'\")"
err_text = str(err.orig)
if re.search(msg, err_text):
raise ValueError("... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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cc @simonjayhawkins
Attempting to add typing to results in aggregation.transform. Here, the obj can be a Series but the list passed into concat c... | {
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we updated `.searchsorted()` on the datetimelike indexes to accept string and a list-like, we should add some examples to the doc-string.
cc @jbrockmendel | {
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https://api.github.com/repos/pandas-dev/pandas/issues/36412 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36412/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36412/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36412/events | https://github.com/pandas-dev/pandas/pull/36412 | 703,229,648 | MDExOlB1bGxSZXF1ZXN0NDg4MzczNjU3 | 36,412 | Bump flake8 version in pre-commit-config.yaml | {
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```
flake8...................................................................Failed
- hook id: flake8
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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
This takes care of some inconsistency in how names are handled by `Index` functions `union` and `intersection`, as discussed in #35847. I believe th... | {
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