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https://api.github.com/repos/pandas-dev/pandas/issues/32917 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32917/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32917/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32917/events | https://github.com/pandas-dev/pandas/issues/32917 | 585,861,455 | MDU6SXNzdWU1ODU4NjE0NTU= | 32,917 | A strange bug in version 1.0.3 | {
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```python
# Your code here
import pandas as pd
```
#### Problem description
When I import pandas 1.03 in pycharm, an error message was returned. This error did not occur when I lowered the version of the package to 0.23.4. In addition, this error no occur in spyder .
Traceback (most recent call last):
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https://api.github.com/repos/pandas-dev/pandas/issues/32918 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32918/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32918/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32918/events | https://github.com/pandas-dev/pandas/issues/32918 | 585,868,854 | MDU6SXNzdWU1ODU4Njg4NTQ= | 32,918 | memory regression in grouping by categorical variables | {
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... | 9 | 2020-03-23T01:35:55Z | 2020-05-20T00:51:41Z | 2020-05-20T00:51:41Z | NONE | null | There seems to be a regression when grouping by categorical columns.
One year old version 0.24.2 was able to complete the queryn, while 1.0.3 is hitting MemoryError.
`memory_usage(deep=True)` reports size of data frame to be **524 MB**, while my machine has **125 GB** so memory should not be an issue.
## Input
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```
>>> pd.Index(['a', np.nan, 'b']).is_mixed()
True
>>> Index([0, 'a', 1, 'b', 2, 'c']).is_mixed()
False
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This method conflicts with python's native `bool`. Wondering if it would be okay to rename this to `to_bool`.
I can get the needed changes done, but wanted to make sure it's okay before sending out a P... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32924/events | https://github.com/pandas-dev/pandas/issues/32924 | 586,079,043 | MDU6SXNzdWU1ODYwNzkwNDM= | 32,924 | ImportError: cannot import name 'rolling_cov | {
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```python
from pandas import read_json, to_datetime, concat, rolling_cov
```
#### Problem description
Missing export in Pandas 1.0.3
#### Expected Output
#### Output of ``pd.show_versions()``
<details>
commit : None
python :... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/32926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32926/events | https://github.com/pandas-dev/pandas/pull/32926 | 586,105,974 | MDExOlB1bGxSZXF1ZXN0MzkyMzAwODA0 | 32,926 | Renamed `validate_string_concatenation.py` to `validate_unwanted_patterns.py` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32927/events | https://github.com/pandas-dev/pandas/pull/32927 | 586,186,972 | MDExOlB1bGxSZXF1ZXN0MzkyMzY3Mjk1 | 32,927 | Added file paths to ignore in linter scripts/validate_unwanted_patterns.py | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
---
While running ```./ci/code_checks.sh lint``` on my local machine I got the output of:
```
Check for use of not concatenated strings
./asv... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32928/events | https://github.com/pandas-dev/pandas/pull/32928 | 586,218,453 | MDExOlB1bGxSZXF1ZXN0MzkyMzkzMTM4 | 32,928 | Backport PR #32827 on branch 1.0.x (DOC: Fixed contributors for bugfix releases) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32929/events | https://github.com/pandas-dev/pandas/pull/32929 | 586,219,285 | MDExOlB1bGxSZXF1ZXN0MzkyMzkzODQy | 32,929 | TST: bare pytest raises in tests/scalar | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-03-23T13:43:27Z | 2020-03-24T17:47:31Z | 2020-03-24T17:04:29Z | CONTRIBUTOR | null | - [ ] ref #30999
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
https://github.com/pandas-dev/pandas/issues/30999
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https://api.github.com/repos/pandas-dev/pandas/issues/32930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32930/events | https://github.com/pandas-dev/pandas/issues/32930 | 586,238,634 | MDU6SXNzdWU1ODYyMzg2MzQ= | 32,930 | pd.read_csv()/dtype and index_col combo | {
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```python
data=pd.read_csv(file, dtype={'donor':str}, index_col='donor') # dtype of the index IS NOT str
# to fix:
data= pd.read_csv(file, dtype={'donor': str})
data.set_index('donor', drop=True, inplace=True)
```
#### Problem description
during pd.rea... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32931/events | https://github.com/pandas-dev/pandas/issues/32931 | 586,292,285 | MDU6SXNzdWU1ODYyOTIyODU= | 32,931 | pd.NA in object dtype | {
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If we want to handle pd.NA in object dtype better, we will need to start using masks as well, and not rely on numpy behaviour.
For example, also this is wrong:
```
In [9]: pd.Series([1, pd.NA], dtype=object) >= 1
Out[9]:
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32932/events | https://github.com/pandas-dev/pandas/pull/32932 | 586,317,584 | MDExOlB1bGxSZXF1ZXN0MzkyNDczNjY5 | 32,932 | REF: "bare_pytest_raises" to use the ast module | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
---
There is also a performance boost:
```
In [1]: import os ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32933/events | https://github.com/pandas-dev/pandas/issues/32933 | 586,337,654 | MDU6SXNzdWU1ODYzMzc2NTQ= | 32,933 | pandas to_sql(if_exists='replace') should not commit after the drop query | {
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... | open | false | null | [] | null | 2 | 2020-03-23T16:24:55Z | 2021-07-07T13:48:35Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
it is hard to generate a reproducible code for this problem as it would need parallel processes reading from a table, and another process that updates that table frequently.
#### Problem description
https://github.com/pandas-dev/pandas/blob/d3e54851b5ab2f2c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32934/events | https://github.com/pandas-dev/pandas/issues/32934 | 586,338,537 | MDU6SXNzdWU1ODYzMzg1Mzc= | 32,934 | Incorrect dtype for concat with empty float and datetime columns | {
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... | 3 | 2020-03-23T16:26:05Z | 2021-07-30T04:16:51Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [40]: a = pd.DataFrame({"A": pd.array(['2000'], dtype='datetime64[ns]')})
In [41]: b = pd.DataFrame({"A": pd.array([1.0], dtype='float64')})
In [42]: pd.concat([a.iloc[:0], b.iloc[:0]])['A'].dtype
Out[42]: dtype('<M8[ns]')
```
#### Proble... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32936/events | https://github.com/pandas-dev/pandas/issues/32936 | 586,347,958 | MDU6SXNzdWU1ODYzNDc5NTg= | 32,936 | Pandas 1.0.3 on Windows 7 64bit throws error "DLL load failed while importing aggregations" on import. Version 1.0.1 works fine. | {
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#### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
```
#### Problem description
I'm using Windows 7, German 64bit with a fresh installation of Python 3.8.2 64bit.
I updated pip, created a fresh virtual environment ... | {
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- [x] closes #32904
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---
cc @jbrockmendel
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cc @jbrockmendel
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```
doc/source/development/contributing_docstring.rst
doc/source/development/developer.rst
doc/source/development/extending.rst
doc/source/development/maintaining.rst
doc/source/development/meeting.rst
```
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```
doc/source/development/policies.rst
doc/source/development/roadmap.rst
doc/source/ecosystem.rst
doc/source/getting_started/10min.rst
doc/source/getting_started/basics.rst
```
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```
doc/source/getting_started/comparison/comparison_with_sas.rst
doc/source/getting_started/comparison/comparison_with_sql.rst
doc/source/getting_started/comparison/comparison_with_stata.rst
doc/source/getting_started/intro_tutorials/01_table_oriented.rst
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```
Exception ignored in: 'pandas._libs.tslibs.util.get_c_string_buf_and_size'
UnicodeEncodeError: 'utf-8' codec can't encode character '\ud83d' in position 0: surrogates not allowed
```
Possibly related to #32701?
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https://api.github.com/repos/pandas-dev/pandas/issues/32953 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32953/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32953/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32953/events | https://github.com/pandas-dev/pandas/pull/32953 | 586,539,317 | MDExOlB1bGxSZXF1ZXN0MzkyNjU2MTk2 | 32,953 | BUG: passing a non-dict mapping to pd.concat raises a TypeError | {
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closes #32863
- [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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https://api.github.com/repos/pandas-dev/pandas/issues/32954 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32954/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32954/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32954/events | https://github.com/pandas-dev/pandas/issues/32954 | 586,541,733 | MDU6SXNzdWU1ODY1NDE3MzM= | 32,954 | Fixture `non_mapping_dict_subclass` is wrongly named | {
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[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
In `conftest.py`, a fixture is defined with the name `non_mapping_dict_subclass`, which returns a minimal class implementing the `collections.abc.Mapping` base class by minim... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/32956 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32956/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32956/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32956/events | https://github.com/pandas-dev/pandas/pull/32956 | 586,547,973 | MDExOlB1bGxSZXF1ZXN0MzkyNjYzMTI5 | 32,956 | CLN: update Appender to doc with case __doc__ | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/32957 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32957/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32957/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32957/events | https://github.com/pandas-dev/pandas/issues/32957 | 586,550,555 | MDU6SXNzdWU1ODY1NTA1NTU= | 32,957 | BUG: iloc on DataFrame[ea] | {
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from pandas.tests.extension.decimal.test_decimal import *
arr = data.__wrapped__()
ser = pd.Series(arr)
df = pd.DataFrame({"a": ser})
>>> df.iloc[:, :1]
a
0 Decimal: 0.32737812402736643502265678762341849...
1 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32958 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32958/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32958/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32958/events | https://github.com/pandas-dev/pandas/issues/32958 | 586,555,659 | MDU6SXNzdWU1ODY1NTU2NTk= | 32,958 | Subsequent calls to read_csv for newly created S3 files in the same directory throws an error | {
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```python
import pandas as pd
import s3fs
BUCKET = 'mattlbeck-mybucket'
s3path1 = f's3://{BUCKET}/key/file1.csv'
s3path2 = f's3://{BUCKET}/key/file2.csv'
with s3fs.S3FileSystem().open(s3path1, 'w') as fh:
fh.write('a,b,c\n1,2,3')
pd.read_csv(s3p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32959 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32959/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32959/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32959/events | https://github.com/pandas-dev/pandas/pull/32959 | 586,558,739 | MDExOlB1bGxSZXF1ZXN0MzkyNjcxOTc5 | 32,959 | BUG: df.iloc[:, :1] with EA column | {
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- [x] tests added / passed
- [x] passes `black pandas`
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https://api.github.com/repos/pandas-dev/pandas/issues/32960 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32960/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32960/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32960/events | https://github.com/pandas-dev/pandas/issues/32960 | 586,575,411 | MDU6SXNzdWU1ODY1NzU0MTE= | 32,960 | Dataframe change alters original array used in creation | {
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```python
a = pd.array([0, 1, 2])
df1 = pd.DataFrame({"col1": ['a', 'b', 'c'], "col2": a})
df1.loc[0, 'col2'] = 3
print(a)
```
```py
<IntegerArray>
[3, 1, 2]
Length: 3, dtype: Int64
```
#### Problem description
Pandas master has this strange chang... | {
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- [x] tests added / passed
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```python
# Your code here
from pandas import Timestamp
Timestamp.min.tz_localize("Asia/Tokyo")
```
The example is picked directly from
```pandas/tests/scalar/timestamp/test_timezones.py::TestTimestampTZOperations::test_tz_localize_pushes_out_of_bounds```
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>>> import pandas
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python36-32\lib\site-packages\pandas\__init__.py", line 55, in <module>
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As requested in #32823 creating separate PR.
Also all descriptions for methods starts with upper case and it looks a little out of place. Should it be casted to lowercase perhaps?
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---
I did two bench marks one in a tight loop(```%timeit```), and one with asv.
I don't see a significant performance change (but I'm not sure I ... | {
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A singular name seems more reasonable to its use cases. The most obvious contender is `index`.
Does any1 have objections?
**EDIT:** In [another c... | {
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```python
import pandas as pd
import random
SIZE = 100000
GROUPS = 10000 # The larger, the more extreme the timing differences
CARDINALITY = 10
CAT = pd.CategoricalDtype([i for i in range(CARDINALITY)])
df_int = pd.DataFrame({
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```
- [ ] doc/source/development/policies.rst
- [ ] doc/source/development/roadmap.rst
- [ ] doc/source/ecosystem.rst
- [ ] doc/source/getting_started/comparison/comparison_with_sas.rst
- [ ] doc/source/getting_started/comparison/comparison_with_sql.rst
```
more files updated in different PRs... | {
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I am working in python 3.8.1 to be specific.
This error appears when runing script in conda environment and also in docker image.
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@datapythonista
Modify script in order to not take into account words with 2 or more capital letters, which should all be proper words. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32988 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32988/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32988/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32988/events | https://github.com/pandas-dev/pandas/issues/32988 | 587,308,526 | MDU6SXNzdWU1ODczMDg1MjY= | 32,988 | REGR: `replace` casts columns to `object` | {
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"description": "Unexpected or buggy dtype conversions",
"id": 31404521,
"name": "Dtype Conversions",
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"color": "e11... | closed | false | null | [] | {
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"followers_url": "https://api.github.c... | 5 | 2020-03-24T22:06:12Z | 2020-05-09T20:07:43Z | 2020-05-09T20:07:43Z | NONE | null | #### Calling `df.replace` casts columns to `object`
```python
pd.DataFrame(np.eye(2)).replace(to_replace=[None, -np.inf, np.inf], value=pd.NA).dtypes
# 0 object
# 1 object
# dtype: object
```
#### Problem description
I'd expect that the dtypes of the columns remain the same after replacing with pd.NA (... | {
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```python
import numpy as np
import pandas as pd
x = pd.Series([1,2,3]).astype('Int64')
y = pd.Series([4,4,6])
np.polyfit(x,y,1)
```
#### Problem description
The code raises from within Numpy:
```
Traceback (most recent call last):
File "<stdin... | {
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- [x] closes #28306
- [x] closes #32624
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This should fix the issue with a long list of indices and unstack. The issue appeared with 6 indices for t... | {
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Headers updated for the following files:
```
- [ ] doc/source/getting_started/comparison/comparison_with_stata.rst
- [ ] doc/source/getting_started/intro_tutorials/01_table_oriented.rst
- [ ] doc/source/getting_started/tutorials.rst
- [ ] doc/source/reference/arrays.rst
- [ ] doc/s... | {
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```python-traceback
>>> pd.DataFrame([[1, pd.NA], [2, "a"]]).drop_duplicates()
Traceback (most recent call last):
...
File "/Users/williamayd/miniconda3/envs/sitka/lib/python3.8/site-packages/pandas/core/frame.py", line 4859, in f
labels, shape = al... | {
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```python
df = pd.DataFrame([
['Microsoft'],
['Microsoft\x00quq2a<ScRiPt>alert(1)</ScRiPt>srfe1'],
['../../../../../../../../../../../../../../../../etc/passwd\x00Microsoft'],
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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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https://api.github.com/repos/pandas-dev/pandas/issues/32997 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32997/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32997/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32997/events | https://github.com/pandas-dev/pandas/pull/32997 | 587,424,917 | MDExOlB1bGxSZXF1ZXN0MzkzMzcwNTE4 | 32,997 | WIP/PERF: block-wise ops for frame-with-series axis=1 | {
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"default"... | closed | false | null | [] | null | 1 | 2020-03-25T03:57:50Z | 2021-11-20T23:23:13Z | 2020-04-03T16:50:15Z | MEMBER | null | xref #32779 which does the same thing for frame-with-frame ops. This one is turning out to be the most difficult of the cases to get right.
Posting this for comments, in large part because there are still two failing tests locally, and these may just be behaviors we want to change.
```
# test_scalar_na_logical_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32998 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32998/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32998/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32998/events | https://github.com/pandas-dev/pandas/issues/32998 | 587,433,554 | MDU6SXNzdWU1ODc0MzM1NTQ= | 32,998 | df.pct_change() not working as expected | {
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```python
df['% Change']=df['A'].pct_change().fillna(0)*100
```
#### Problem description
#### Current output from dataframe
index | A | % Change
1 | -482.411 | 0.000000
2 | -357.073 | -25.981580
3 | -506.110 | 41.738524
#### Expected Output from t... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
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Related to #27977. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33000 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33000/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33000/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33000/events | https://github.com/pandas-dev/pandas/pull/33000 | 587,480,594 | MDExOlB1bGxSZXF1ZXN0MzkzNDE0ODAy | 33,000 | DOC: Fix PR01, PR02, RT03 on cumulative function | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33001 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33001/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33001/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33001/events | https://github.com/pandas-dev/pandas/issues/33001 | 587,500,632 | MDU6SXNzdWU1ODc1MDA2MzI= | 33,001 | Idea: Make pd.Index.values not writable | {
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"description": "Related ... | open | false | null | [] | null | 13 | 2020-03-25T07:38:07Z | 2021-07-30T04:22:31Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
a = pd.DataFrame({"col1": [1, 2, 3]}, index=["a", "b", "c"])
b = a.copy()
b.index.values[0] = "newval"
assert a.index[0] == "newval"
```
#### Problem description
`Index` objects are assumed to be immutable, but wrap a m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33002 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33002/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33002/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33002/events | https://github.com/pandas-dev/pandas/issues/33002 | 587,543,160 | MDU6SXNzdWU1ODc1NDMxNjA= | 33,002 | Timestamps with different same tzinfo but different tzinfo type (datetime.timezone vs pytz.UTC) | {
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```python
import pytz
import datetime
import pandas as pd
date = pd.Timestamp("13-12-2020",tzinfo=datetime.timezone.utc)
date2 = pd.Timestamp("12-12-2020",tzinfo=pytz.UTC)
date - date2
>>> Traceback (most recent call last):
File "<stdin>", line 1, in <... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33003 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33003/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33003/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33003/events | https://github.com/pandas-dev/pandas/issues/33003 | 587,561,445 | MDU6SXNzdWU1ODc1NjE0NDU= | 33,003 | Extra factorization for inner join(documentation issue) | {
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```python
# Your code here
```
#### Problem description
Hi,
I'm trying to understand the pandas source code for an **inner join** using pandas.merge. I've got a sense that the procedure is basically factorizing both the left keys and the right keys to... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33004 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33004/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33004/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33004/events | https://github.com/pandas-dev/pandas/issues/33004 | 587,565,024 | MDU6SXNzdWU1ODc1NjUwMjQ= | 33,004 | DOC: for pandas.read_json() using orient='table' add docu about schema spec | {
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---
```asv``` benchmarks: to show that performance is not changed with the stylistic changes)
```
All benchmarks:
before a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33007 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33007/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33007/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33007/events | https://github.com/pandas-dev/pandas/issues/33007 | 587,622,558 | MDU6SXNzdWU1ODc2MjI1NTg= | 33,007 | min of Index does not have required axis= keyword for np.min | {
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```python
# Your code here
> from pandas import DataFrame
> import bumpy as np
> df = DataFrame( [[10,20,30]], index=[0], columns=[1,2,3])
> df.columns.min()
1
> min(df.columns)
1
> np.min( df.columns )
TypeError: min() got an unexpected keyword argumen... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/33009 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33009/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33009/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33009/events | https://github.com/pandas-dev/pandas/pull/33009 | 587,634,053 | MDExOlB1bGxSZXF1ZXN0MzkzNTM3NTIw | 33,009 | STY: Boolean values for bint variables | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/33010 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33010/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33010/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33010/events | https://github.com/pandas-dev/pandas/pull/33010 | 587,638,822 | MDExOlB1bGxSZXF1ZXN0MzkzNTQxMzYy | 33,010 | add match to bare pyteset.raises() - arrays | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-03-25T11:46:48Z | 2020-03-31T03:18:04Z | 2020-03-30T22:41:55Z | CONTRIBUTOR | null | - [x] ref #30999
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
df = pd.read_csv(filename, sep = r'\s{1,}')
```
#### Problem description
I am trying to read in a txt as a pandas dataframe that I previous edited a column header in using `.replace()` and I get the error:
```
Traceback (most recent call last)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33012 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33012/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33012/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33012/events | https://github.com/pandas-dev/pandas/issues/33012 | 587,665,252 | MDU6SXNzdWU1ODc2NjUyNTI= | 33,012 | PERF: Performance regression with memory_usage(deep=True) on `object` columns | {
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"followers_url": "https://api.github.c... | 9 | 2020-03-25T12:35:52Z | 2020-05-05T16:04:39Z | 2020-03-31T00:11:46Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import time
import pandas as pd
import numpy as np
df = pd.DataFrame({
"a": np.empty(10000000),
"b": np.empty(10000000),
})
df["a"] = df["a"].astype("object")
s = time.time()
mem = df.memory_usage(deep=True)
print("memory_usag... | {
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```
In [5]: pd.to_numeric(pd.Series([1, 2, 3], dtype="Int64"), downcast='integer')
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-5-64a04efaaac0> in <module>
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33014 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33014/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33014/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33014/events | https://github.com/pandas-dev/pandas/issues/33014 | 587,688,673 | MDU6SXNzdWU1ODc2ODg2NzM= | 33,014 | to_json should make separators configurable (similar to json.dump) | {
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```python
import numpy as np
import pandas as pd
print(pd.DataFrame([1]).to_json(indent=4))
```
outputs
```
{
"0":{
"0":1
}
}
```
#### Problem description
Any JSON prettyfier (including bare VS Code) wants to replace all `:` by `... | {
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