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https://api.github.com/repos/pandas-dev/pandas/issues/32016 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32016/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32016/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32016/events | https://github.com/pandas-dev/pandas/pull/32016 | 565,734,379 | MDExOlB1bGxSZXF1ZXN0Mzc1NzA1OTA1 | 32,016 | DOC: Add reference in keywords arguments to Line2D mathplotlib | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32018 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32018/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32018/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32018/events | https://github.com/pandas-dev/pandas/pull/32018 | 565,735,959 | MDExOlB1bGxSZXF1ZXN0Mzc1NzA3MDY2 | 32,018 | DOC add extended summary, update parameter types desc, update return types desc, and add whitespaces after commas in list declarations to DataFrame.first in core/generic.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32019 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32019/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32019/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32019/events | https://github.com/pandas-dev/pandas/pull/32019 | 565,736,773 | MDExOlB1bGxSZXF1ZXN0Mzc1NzA3NjYy | 32,019 | DOC: Fix errors in pandas.Series.argmax | {
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output of `python scripts/validate_docstrings.py pandas.Series.argmax`:
```
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Right now I'm working with pretty sensitive data - phone numbers, usernames, personal names and so on. Also, I'm using Jupyter notebooks for making reports and share the results with my colleagues. Tell me please - is it possible to specify some displaying settings, so some columns will be censored?
# E... | {
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```python
>>> import pandas as pd
>>> year_2017 = pd.Interval(pd.Timestamp('2017-01-01 00:00:00'),
pd.Timestamp('2018-01-01 00:00:00'))
>>> year_2017
Interval('2017-01-01', '2018-01-01', closed='right')
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> For example, don’t say “hey guys!” but “hey everyone!”.
and thought it was really nice.
Pushing directly rather than opening as good first issue to avoid invoking a s*******m | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32025/events | https://github.com/pandas-dev/pandas/pull/32025 | 565,757,061 | MDExOlB1bGxSZXF1ZXN0Mzc1NzIxNjUy | 32,025 | CI: silence numpy-dev failures | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32026 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32026/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32026/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32026/events | https://github.com/pandas-dev/pandas/issues/32026 | 565,760,664 | MDU6SXNzdWU1NjU3NjA2NjQ= | 32,026 | What's the difference between Timedelta and DateOffset on Earth? | {
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```python
>>>ts = pd.Timestamp('2020-1-29 01:00:00')
>>>ts+pd.DateOffset(days=-1)
Timestamp('2020-01-28 01:00:00')
>>>ts+pd.Timedelta(days=-1)
Timestamp('2020-01-28 01:00:00')
```
It seems to be completely t... | {
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```python
>>> import pandas as pd
>>> from pandas.core.arrays import PandasDtype
>>> pd.Series(pd.array([1,2,3]), dtype=PandasDtype('int64'))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/marco/pandas/pandas/core/ser... | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-02-15T18:27:21Z | 2020-02-15T20:10:57Z | 2020-02-15T19:05:32Z | CONTRIBUTOR | null | Hi there! This is my first contribution. Please let me know if there are any issues, thank you.
- [x] tests passed
- [x] passes `black pandas`
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For this PR I ran the command `grep -l -R -e '%s' -e '%d' -e '\.format(' --include=*.{py,pyx} pandas/` and checked all the files that were returned for `.format(` and changed the old string format for the corresponding `fstrings` to attempt a full clean of, [#29547](... | {
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For this PR I ran the command `grep -l -R -e '%s' -e '%d' -e '\.format(' --include=*.{py,pyx} pandas/` and checked all the files that were returned for `.format(` and changed the old string format for the corresponding `fstrings` to attempt a full clean of, [#29547... | {
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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/32037 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32037/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32037/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32037/events | https://github.com/pandas-dev/pandas/issues/32037 | 565,865,990 | MDU6SXNzdWU1NjU4NjU5OTA= | 32,037 | JSON table orient not roundtripping extension types | {
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... | 19 | 2020-02-16T07:43:55Z | 2020-05-08T21:25:34Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas
print(pandas._version.get_versions())
df = pandas.DataFrame(
{
1: ['v1','v2'],
2: ['v3','v4']
},dtype='string'
)
print(df.info())
for orient in ['table','split','records','values']:
rdf = pandas.rea... | {
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```python
df_with_missing = pd.DataFrame({'col1': [0, np.nan, 2],'col2': [1, np.nan, np.nan]})
df_with_missing.to_hdf('file.h5', 'df_with_missing', format='table', mode='w')
pd.read_hdf('file.h5', 'df_with_missing')
df_with_missing.to_hdf('file1.h5', 'df_wi... | {
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string = "HolyMoly'"
store.select('df','index == string')
```
#### Problem description
string = "HolyMoly'" do not work
pandas 1.0.1 | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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master
```
INSTALLED VERSIONS
------------------
{k:<17}: {stat}
{k:<17}: {stat}
{k:<17}: {stat}
...
```
this PR
```
INSTALLED VERSIONS
------------------
commit : b11e0647d42a27c279f3c46d5ce26d79bb5f5dec
python : 3.7.4.final.0
python-bi... | {
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master
```
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https://api.github.com/repos/pandas-dev/pandas/issues/32043 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32043/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32043/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32043/events | https://github.com/pandas-dev/pandas/pull/32043 | 565,950,582 | MDExOlB1bGxSZXF1ZXN0Mzc1ODU4OTk4 | 32,043 | DOC: Mention black and PEP8 in pandas style guide | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
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- [ ] whatsnew entry
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It did this replacement in scripts/find_commits_touching_func.py
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```python
# Your code here
**Unable to Install Pandas on Python 3.9.0a3** (tags/v3.9.0a3:c33378d, Jan 25 2020, 10:12:02) [MSC v.1916 64 bit (AMD64)] on win32
```
#### Problem description
Keep getting message still running.. but no luck
PS C:\Windows\System3... | {
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**Note:** The diff is a bit inflated. Most changes are just indentation because for loops are replaced by a parametrized fixture. | {
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This code is used in jupyter lab using python 3.7 and pandas 1.0.1
It accesses a text file of words delimited by carriage returns
```
import base64
import numpy as np
import pandas as pd
words = pd.read_table("sampleTEXT.txt",names=['word'],header=None)
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Using pandas 1.0.1 and python 3.7
Using a text file consisting of words separated by carriage returns named sampleTEXT.txt
```
import base64
import numpy as np
import pandas as pd
words = pd.read_table("sampleTEXT.txt",names=['word'],header=None)
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Using pandas 1.0.1 and python 3.7
Using a text file consisting of words separated by carriage returns named sampleTEXT.txt
```
import base64
import numpy as np
import pandas as pd
words = pd.read_table("sampleTEXT.txt",names=['word'],header=None)
words.head(... | {
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"color": "531... | closed | false | null | [] | null | 16 | 2020-02-17T12:08:01Z | 2020-09-10T18:57:12Z | 2020-09-10T18:57:11Z | CONTRIBUTOR | null | - [x] closes #16737
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
---------------------------------
I picked up all the notes from #16737 where it was suggested to use `Index` over `RangeIndex` for empty data.
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```python
import pandas as pd
import numpy as np
print(pd.__version__)
>> '1.0.1'
df = pd.DataFrame({'a':[1,2,3], 'b':[np.nan, np.nan, np.nan], 'c':['d', 'e', 'f']}, index=[0, 1, 2])
print(df)
print(df.loc[1].b)
# >> nan
df.groupby('a').nunique()
print(... | {
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"followers_url": "https://api.github.... | 2 | 2020-02-17T12:56:42Z | 2020-02-21T14:52:39Z | 2020-02-21T14:52:24Z | CONTRIBUTOR | null | When a reading a pickle with MultiIndex columns generated in py27
`pickle_compat.load()` with `enconding=None` would throw an UnicodeDecodeError
when reading a pickle created in py27. Now, `read_pickle` catches that exception and
fallback to use `latin-1` explicitly.
- [x] closes #31988
- [x] tests added / passe... | {
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```python
Python 3.6.7 (v3.6.7:6ec5cf24b7, Oct 20 2018, 13:35:33) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
Traceback (most recent call last):
File "<stdin>", line 1,... | {
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```python
df = pd.read_excel(file)
```
So I have a few columns with numbers and currency e.g 155 USD.
When I load this table to python all I see is the numbers without the currency.
My solution was to convert the file to csv before loading it but I just hate using powershell script to convert each excel file t... | {
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If this sounds useful I could try to work on it. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32060 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32060/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32060/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32060/events | https://github.com/pandas-dev/pandas/issues/32060 | 566,305,242 | MDU6SXNzdWU1NjYzMDUyNDI= | 32,060 | CI: Web and Docs fails | {
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] | closed | false | null | [] | null | 4 | 2020-02-17T13:38:34Z | 2020-02-24T12:02:01Z | 2020-02-24T12:02:01Z | MEMBER | null | #### Problem description
Currently, Web and Docs build seems to fail for everyone during CI, regardless of PR. Saw this in #31563 and #32055.
This is the error:
```
Extension error:
Could not import extension contributors (exception: No module named 'gitdb.utils.compat')
##[error]Bash exited with code '2'.
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https://api.github.com/repos/pandas-dev/pandas/issues/32061 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32061/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32061/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32061/events | https://github.com/pandas-dev/pandas/issues/32061 | 566,336,160 | MDU6SXNzdWU1NjYzMzYxNjA= | 32,061 | pd can't import cx_Oracle string datetype to pd.DataFrame correctly. Can't to cast data to correct type(str) | {
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I have some oracle table with next field datatype:
**
- ID| NOT NULL NUMBER
- VERSION| NOT NULL NUMBER
- STAT_ACTUAL| NOT NULL NUMBER
- REGION| NOT NULL VARCHAR2(5 CHAR)
- PARENTID| NUMBER... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32062 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32062/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32062/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32062/events | https://github.com/pandas-dev/pandas/pull/32062 | 566,423,023 | MDExOlB1bGxSZXF1ZXN0Mzc2MjM4NDE3 | 32,062 | Backport PR #31734 on branch 1.0.x (BUG: list-like to_replace on Categorical.replace is ignored or crash) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32063 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32063/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32063/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32063/events | https://github.com/pandas-dev/pandas/pull/32063 | 566,425,959 | MDExOlB1bGxSZXF1ZXN0Mzc2MjQwNzY3 | 32,063 | CLN: GH29547 replace old string formatting | {
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* tests/tslibs
* tests/tseries
- [x] tests passed
- [x] passes `black pandas`
Thank you.
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
The PR is a follow up of #31156 and #31148 translating the raw html to docutils/sphinx directives, making it more _readable_.
Furthermore, it fix... | {
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```python
a = pd.DataFrame({'a':[10,11,15,21],'b':[7,6,4,2]}).set_index('a')
b = pd.DataFrame({'b':[7,6,4,2],'c':['a','b','c','d']}).set_index('b')
a.merge(b, on='b')
```
#### Problem description
If I want to merge two DataFrame's, where column 'name' of `a` matches index named 'name' on `b`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32069 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32069/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32069/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32069/events | https://github.com/pandas-dev/pandas/pull/32069 | 566,597,343 | MDExOlB1bGxSZXF1ZXN0Mzc2Mzc5MDE3 | 32,069 | TST: corrwith and tshift in groupby/groupby.transform | {
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"d... | closed | false | null | [] | null | 10 | 2020-02-18T01:54:52Z | 2020-03-03T15:45:25Z | 2020-03-03T15:45:24Z | CONTRIBUTOR | null | This PR tests `corrwith` and `tshift`, so not sure if it fully closes the original issue or not, but the other functions`backfill`, `pad` and `cumcount` don't seem to be supported in `groupby.transform` as reported in issues #27472 and #31269.
- [x] closes #27905
- [x] tests added / passed
- [x] passes `black pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32070 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32070/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32070/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32070/events | https://github.com/pandas-dev/pandas/issues/32070 | 566,620,530 | MDU6SXNzdWU1NjY2MjA1MzA= | 32,070 | Hope to optimize pd.ExcelWriter mode | {
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] | closed | false | null | [] | null | 1 | 2020-02-18T03:19:49Z | 2020-02-18T12:30:00Z | 2020-02-18T12:29:53Z | NONE | null | The following code can be implemented to override the sheet and update the specified sheet separately
```python
import pandas as pd
import openpyxl
def to_sheet(df,file,sheet_name):
wb = openpyxl.load_workbook(file)
if sheet_name in wb.sheetnames:
sheet = wb[sheet_name]
wb.remove(she... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32071 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32071/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32071/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32071/events | https://github.com/pandas-dev/pandas/pull/32071 | 566,751,358 | MDExOlB1bGxSZXF1ZXN0Mzc2NTAwNzgx | 32,071 | CLN: Remove unused script find_commits_touching_func.py | {
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I've been trying the script `find_commits_touching_func.py` and doesn't seem to be working. Tried for many existing functions, and never get any result. I guess it doesn't work with newer git versions, or with the latest dependencies. And if nobody realized of this before, I assume nobody is using ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32072 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32072/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32072/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32072/events | https://github.com/pandas-dev/pandas/issues/32072 | 566,759,673 | MDU6SXNzdWU1NjY3NTk2NzM= | 32,072 | Feature Request: "Skiprows" by a condition or set of conditions | {
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```python
# data file path: foo/bar/data.csv
col_1 col_2 ... col_n
0 940 45 ... 0.023
1 1040 52 ... 0.430
2 1530 45 ... 0.302
3 753 43 ... 0.450
4 890 32 ... 0.023
schema={
"col_1": int,
...,
"col_n": ... | {
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```
import pandas as pd
import numpy as np
df = pd.DataFrame({'A': [1, 2, 3, 4, 5], 'B': [7, 5, np.nan, 3, 2]})
df.plot(x='A', y='B')
df = df.astype('Int64')
df.plot(x='A', y='B')
```
#### Problem description
The first plotting command works, the sec... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32074 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32074/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32074/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32074/events | https://github.com/pandas-dev/pandas/pull/32074 | 566,788,311 | MDExOlB1bGxSZXF1ZXN0Mzc2NTMwNTYw | 32,074 | CI: Remove docs build from pipelines | {
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"description": "Continuous Integratio... | closed | false | null | [] | null | 7 | 2020-02-18T10:18:24Z | 2020-02-26T21:08:06Z | 2020-02-26T21:08:06Z | MEMBER | null | - [X] closes #29472
At the moment we're building the web and the docs from both Actions and Pipelines. While is still under discussion where things should be hosted, it's probably worth to just build on Actions for now, and publish from there to both the OVH cloud, and to GitHub pages.
**This needs the GitHub pag... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32075 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32075/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32075/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32075/events | https://github.com/pandas-dev/pandas/issues/32075 | 566,856,203 | MDU6SXNzdWU1NjY4NTYyMDM= | 32,075 | Series.replace fails to replace value | {
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```python
In [93]: ser.eq('nil').sum()
Out[93]: 1
In [94]: ser.replace('nil', pd.NA).eq('nil').sum()
/home/torstein/anaconda3/lib/python3.7/site-packages/pandas/core/missing.py:47: FutureWarning: elementwise comparison failed; returning scalar instead, but ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32076 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32076/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32076/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32076/events | https://github.com/pandas-dev/pandas/issues/32076 | 566,953,919 | MDU6SXNzdWU1NjY5NTM5MTk= | 32,076 | FutureWarning: pandas.util.testing is deprecated | {
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It appears everytime I run:
`import pandas as pd`
`from pandas_datareader import data as wb` | {
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```python
import pandas as pd # 1.0.1
import numpy as np # 1.18.1
# Simple test case that fails
df_simple = pd.DataFrame({'key': [1,1,2,2,3,3], 'data' : [10,20,30,40,50,60],
'good_string' : ['cat','dog','cat','dog','fish','pig'],
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https://api.github.com/repos/pandas-dev/pandas/issues/32079 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32079/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32079/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32079/events | https://github.com/pandas-dev/pandas/pull/32079 | 567,069,090 | MDExOlB1bGxSZXF1ZXN0Mzc2NzYyNDI2 | 32,079 | BUG: fix in categorical merges | {
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- [x] closes #28189
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/32081 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32081/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32081/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32081/events | https://github.com/pandas-dev/pandas/issues/32081 | 567,095,130 | MDU6SXNzdWU1NjcwOTUxMzA= | 32,081 | Repeated `convert_dtypes()` fails for unicode string | {
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Converting object to 'string' succeeds once, but not twice.
```python
In [635]: pd.Series([name], dtype='object')
Out[643]:
0 OSCAR KANG’ORO
dtype: object
In [644]: pd.Series([name], dtype='object').convert_dtypes()
Out[644]:
0 OSCAR KANG’ORO
dty... | {
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I get a test failure locally because apparently something in resample behaves differently if we go through the python path, which itself should be considered a bug. cc @mroeschke any ideas how to fix the fail... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32084 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32084/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32084/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32084/events | https://github.com/pandas-dev/pandas/issues/32084 | 567,234,240 | MDU6SXNzdWU1NjcyMzQyNDA= | 32,084 | Pandas misinterprets the string 'null' in a text file as a float | {
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Using the latest anaconda3 on Windows 10 and opening a jupyter notebook.
I have a text file with 1 million rows. The file is read into a dataframe and each line is processed by converting it to bytes and then encoding it to base64. The processed result is written... | {
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Now, time to run some asvs | {
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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
Series.append now raises TypeError when a DataFrame or a sequence containing DataFrame is passed.
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https://api.github.com/repos/pandas-dev/pandas/issues/32092 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32092/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32092/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32092/events | https://github.com/pandas-dev/pandas/issues/32092 | 567,370,740 | MDU6SXNzdWU1NjczNzA3NDA= | 32,092 | Installing pandas on aarch64 | {
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----------
Installing pandas on aarch64 via pip using command "pip3 install pandas" tries to build wheel from source code
Problem description
----------------------
Pandas don't have wheel for aarch64 on PyPI repository. So, while installing pandas via pip on aarch64, pip builds wheel for same resulting ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32095/events | https://github.com/pandas-dev/pandas/issues/32095 | 567,431,729 | MDU6SXNzdWU1Njc0MzE3Mjk= | 32,095 | Unpickled StringArray with pd.NA raises ValueError | {
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```python
import pandas as pd
import pickle
df = pd.Series(['abc'] + [pd.NA]*60, dtype='string')
serialized = pickle.dumps(df)
unserialized = pickle.loads(serialized)
print(unserialized)
```
#### Problem description
The unserialized df cannot be printed... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32096 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32096/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32096/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32096/events | https://github.com/pandas-dev/pandas/issues/32096 | 567,500,046 | MDU6SXNzdWU1Njc1MDAwNDY= | 32,096 | Allow definition of `pd.CategoricalDtype` with a specific `categories.dtype` | {
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```python
from pandas.api.types import union_categoricals
import pandas as pd
import numpy as np
dt1 = pd.Categorical([], categories=[pd.Timestamp("2020-01-01")])
dt2 = pd.Categorical([], categories=[pd.Timestamp("2020-01-02")])
dt3 = pd.Categorical([])
... | {
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pandas\core\arrays\categorical.py:1550: error: "argsort" of "ExtensionArray" gets multiple values for keyword argument "ascending"
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https://api.github.com/repos/pandas-dev/pandas/issues/32100 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32100/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32100/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32100/events | https://github.com/pandas-dev/pandas/issues/32100 | 567,526,194 | MDU6SXNzdWU1Njc1MjYxOTQ= | 32,100 | Refactor inherit_names to work by inheritance | {
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... | 0 | 2020-02-19T12:10:32Z | 2020-09-30T15:15:01Z | null | CONTRIBUTOR | null | We face a lot of mypy errors due to the dynamic nature of [`inherit_names`](https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/extension.py#L91). See issue #31716 and the discussion that evolved there.
**Summary:**
In the past, we added explicit type annotations to the respective classes, but this... | {
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pandas\core\tools\datetimes.py:310: error: Item "DatetimeIndex" of "Union[DatetimeArray, DatetimeIndex]" has no attribute "tz_localize"
pandas\core\tools\datetimes.py:829: error: Inco... | {
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- [x] tests added / passed
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Fixes bare pytest.raises issue for `test_parsing.py`. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32103 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32103/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32103/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32103/events | https://github.com/pandas-dev/pandas/pull/32103 | 567,549,342 | MDExOlB1bGxSZXF1ZXN0Mzc3MTUzMDUx | 32,103 | added msg to TypeError test_to_boolean_array_error | {
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Fixed bare pytest.raises (#30999) for test_to_boolean_array_error in test_boolean.py
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https://docs.python.org/3/library/pickle.html#object.__reduce__,
> If a string is returned, the string should be interpreted as the name
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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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... | open | false | null | [] | null | 0 | 2020-02-19T14:31:10Z | 2021-07-28T05:54:34Z | null | NONE | null | #### Code Sample
```python
# library
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# Dataset
x = np.random.rand(10, 4)
df = pd.DataFrame(x, columns=['a', 'b', 'c', 'd'])
# plot
df.plot.area()
plt.figure()
# Generate with matplotlib for glitchless version.
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- [x] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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#### Description
With the pandas 1.0.1 (full version with dependencies at the end), series with NAMED period index raise error on groupby index.month... | {
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__getitem__ interface, it falls outside the collection.abc.Iterable case
and throw.
- [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
# Your code here
df = pd.DataFrame({'a': [True,True,False,False], 'b': [1,0,1,0]})
fltr1 = (
(df['a']) &
df['b'] == 0
)
fltr2 = (
(df['a']) &
(df['b'] == 0)
)
# fltr1 and fltr2 give ... | {
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```
# python --version
Python 3.9.0a3
# pip3 install pandas --log amy.log
```
results in the error shown below. (The full installation log: [amy.log](https://gist.github.com/mhwombat/a10d22dc166035201e0e6981c53db33c))
```
numpy/random/mtrand/mtrand.c:4363... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32115 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32115/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32115/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32115/events | https://github.com/pandas-dev/pandas/pull/32115 | 567,711,289 | MDExOlB1bGxSZXF1ZXN0Mzc3Mjg2NDI5 | 32,115 | add test for "Allow definition of `pd.CategoricalDtype` with a specific `categories.dtype`" | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2020-02-19T17:17:23Z | 2020-03-02T15:30:34Z | 2020-03-02T15:30:18Z | CONTRIBUTOR | null | - [x] closes #32096
- [x] tests added / passed
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