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https://api.github.com/repos/pandas-dev/pandas/issues/25413 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25413/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25413/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25413/events | https://github.com/pandas-dev/pandas/issues/25413 | 413,453,459 | MDU6SXNzdWU0MTM0NTM0NTk= | 25,413 | Concat with mixed single index / multi-index and keys gives confusing error message | {
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With 0.23.4:
```python
In [2]: df1 = pd.DataFrame(np.random.randint(0, 10, (4,3)), columns=['A', 'B', 'C'])
In [3]: df2 = pd.DataFrame(np.random.randint(0, 10, (4,3... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25414 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25414/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25414/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25414/events | https://github.com/pandas-dev/pandas/pull/25414 | 413,473,196 | MDExOlB1bGxSZXF1ZXN0MjU1NDQ5NjY4 | 25,414 | ERR: doc update for ParsingError | {
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- [x] closes #22881
- [ ] tests added / passed
- [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/25415 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25415/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25415/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25415/events | https://github.com/pandas-dev/pandas/pull/25415 | 413,508,408 | MDExOlB1bGxSZXF1ZXN0MjU1NDc3MDY0 | 25,415 | EA: BoolArray | {
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"color": "613... | closed | false | null | [] | null | 12 | 2019-02-22T17:42:24Z | 2019-06-27T22:12:05Z | 2019-06-27T22:12:05Z | CONTRIBUTOR | null | this builds on #22226 and #22238 by @WillAyd and the ``ArrowBoolArray`` by @TomAugspurger to create a first class bool array that is backed by a numpy EA array or a pyarrow array if available. Uses this MaskArray as the mask inside IntegerArray. The is a POC to see how feasible this is generally. Note that I did this ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25416 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25416/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25416/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25416/events | https://github.com/pandas-dev/pandas/issues/25416 | 413,606,954 | MDU6SXNzdWU0MTM2MDY5NTQ= | 25,416 | Broadcasting issue with 2d index in DataFrames | {
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#Under pandas==0.23.0
import pandas
df1 = pd.DataFrame([[1]], columns = [[1]], index = [ 1, 2 ])
print(df1)
df2 = pd.DataFrame([[1]], columns = [[1]], index = [ [ 1, 2 ] ])
print(df2)
Output:
1
1 1
2 1
ValueError: Shape of passed values is (1, 1), indices imply (1, 2)
#Under pandas==0.22.0, t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25418 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25418/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25418/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25418/events | https://github.com/pandas-dev/pandas/pull/25418 | 413,627,031 | MDExOlB1bGxSZXF1ZXN0MjU1NTcwNjk1 | 25,418 | Correct a typo of version number for interpolate() | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25419 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25419/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25419/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25419/events | https://github.com/pandas-dev/pandas/pull/25419 | 413,731,152 | MDExOlB1bGxSZXF1ZXN0MjU1NjM1MDQ0 | 25,419 | ENH: Add Series.str.casefold | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/25420 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25420/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25420/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25420/events | https://github.com/pandas-dev/pandas/pull/25420 | 413,731,884 | MDExOlB1bGxSZXF1ZXN0MjU1NjM1NDA3 | 25,420 | fixed geo accessor example in extending.rst | {
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- [ ] closes #xxxx
- [ ] tests added / passed
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] | closed | false | null | [] | null | 3 | 2019-02-23T21:33:55Z | 2020-04-03T04:32:15Z | 2020-04-03T04:32:15Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
pandas.Timedelta('PT03H45M00S')
#### Problem description
Raises ValueError invalid abbreviation.
It should behave like:
pandas.Timedelta('P0DT0H1M0S')
Timedelta('0 days 00:01:00')
According to https://www.w3.org/TR/2004/REC-xmlschema-2-20041028/#dur... | {
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```python
import datetime
import fastparquet
import pandas as pd
from dateutil.tz import tzutc
def setup():
# note: mock or real API call results in the same error
data = mock_list_s3_bucket()
df = pd.DataFrame.from_dict(data)
#print(data)
df.to_parquet(path, engine... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
As pull #19074 changed compute of hashtable from `self.values` to `self.codes` and `self.levels`, NaN values doesn't cover.
I just simply fixed this regression the special case, ... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This PR is the culmination of ongoing work since the start of November, and is therefore a bit on the bigger side, with several notes to make.
Things started out with me wanting to unify `.update`... | {
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This is primarily intended for LibreOffice calc spreadsheets but will
also work with LO Writer and probably with LO Impress documents.
This is an alternate solution to https://github.com/pandas-dev/pandas/pull/9070
There are test cases with several different problematic LibreOffice spread sheets.
... | {
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"descript... | closed | false | null | [] | null | 2 | 2019-02-24T08:59:10Z | 2019-04-24T16:25:07Z | 2019-04-24T16:25:07Z | NONE | null | ```python
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
df = pd.DataFrame(["1","2","3","4","5"], ["a","b","c","d","e"], ["w"])
df.plot.line(x=df.index,y="w")
```
**Problem**
I was going to create a data frame and run it as a line plot.
When I run the command print(df) and hide t... | {
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```python
# Your code here
import pandas as pd
df = pd.DataFrame({'time': ['2013-12-01 08:00:00', '2013-12-01 08:30:00', '2013-12-01 09:00:00', '2014-05-01 09:00:00-07:00', '2014-05-01 09:30:00-07:00', '2014-05-01 10:00:00-07:00'], 'current': [208.0, 482.0, 77... | {
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- 2 tests added
- passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- whatsnew entry
Follow h-vetinari's footstep. `maybe_upcast_putmask` was left untouched in #25425. Try to fix the bug so that `maybe_upcast_putmask` can also handle `ndarray` as well as `Series`.
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/25433 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25433/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25433/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25433/events | https://github.com/pandas-dev/pandas/issues/25433 | 413,863,493 | MDU6SXNzdWU0MTM4NjM0OTM= | 25,433 | BUG: Index type casting in read_json with orient='table' and float index | {
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```python
expected = pd.DataFrame({'a':[5,5]}, index=[1.,2.])
result = pd.read_json(expected.to_json(orient='table'), orient='table')
```
```
In [141]: expected
Out[141]:
a
1.0 5
2.0 5
In [142]: result
Out[142]:
a
1 5
2 5
```
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closes #25435
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
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```python
expected = pd.DataFrame({'1.': [1, 2]})
result = pd.read_json(expected.to_json(orient='table'), orient='table')
```
```
In [7]: expected ... | {
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LaTeX captions and labels are not supported in `longtable` environments produced by `DataFrame.to_latex()`. Having this would mean further automation of workflow when writing LaTeX reports containing tables whose data resides in a dataframe.
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- [x] tests added / passed
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"description": "Unexpected or buggy dtyp... | open | false | null | [] | null | 2 | 2019-02-25T10:50:23Z | 2021-06-27T18:35:59Z | null | NONE | null | #### Code Sample
```python
df = pd.DataFrame({
'a': [1, 2, 3, np.nan],
'b': ['some', 'strings', 'here', 'he']
})
df['a'] = df['a'].astype('Int64')
df.replace('', np.nan).dtypes # Column a is now float
```
#### Problem description
The new Int64Dtype does not behave as expected here. If you ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25439 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25439/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25439/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25439/events | https://github.com/pandas-dev/pandas/issues/25439 | 414,246,586 | MDU6SXNzdWU0MTQyNDY1ODY= | 25,439 | FutureWarning when sorting tz-aware datetimeindex | {
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"followers_url": "https://api.github.com/u... | 3 | 2019-02-25T18:36:20Z | 2019-03-11T12:41:37Z | 2019-03-11T12:41:37Z | NONE | null | #### Problem
As reported [here](https://stackoverflow.com/questions/54854900/workaround-for-pandas-futurewarning-when-sorting-a-datetimeindex), sorting a tz-aware DatetimeIndex issues warning:
> FutureWarning: Converting timezone-aware DatetimeArray to timezone-naive ndarray with 'datetime64[ns]' dtype
MCVE here... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25440 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25440/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25440/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25440/events | https://github.com/pandas-dev/pandas/issues/25440 | 414,251,396 | MDU6SXNzdWU0MTQyNTEzOTY= | 25,440 | BUG: DatetimeArray._from_sequence(arg, dtype='tz') raises TypeError | {
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cc @jreback
```
In [3]: arg = np.array([np.datetime64('2018-01-01')], dtype=object)
In [4]: pd.arrays.DatetimeArray._from_sequence(arg, dtype='UTC')
-------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25441 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25441/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25441/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25441/events | https://github.com/pandas-dev/pandas/issues/25441 | 414,283,422 | MDU6SXNzdWU0MTQyODM0MjI= | 25,441 | Inconsistent type behavior loading data from json files | {
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... | 4 | 2019-02-25T21:31:26Z | 2019-07-31T21:54:47Z | 2019-07-31T21:54:47Z | MEMBER | null | For PEP8 compliance and better method naming consistency | {
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] | closed | false | null | [] | null | 1 | 2019-02-26T03:59:16Z | 2019-02-26T05:51:00Z | 2019-02-26T05:51:00Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
file_A.shape
writer = pd.ExcelWriter(filename, engine='xlsxwriter', options={'strings_to_urls': False})
file_A.to_excel(writer)
```
#### Problem description
Hi i have an issue that related to pd.ExcelWriter (the code example above). I can't writ... | {
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```python
import pandas as pd
df = pd.DataFrame({'name': ['A', 'A', 'A', 'B', 'B'], 'a':[1,2,3,4,5], 'date': ['2016', '2017', '2018', '2016', '2017']}, )
df['date'] = pd.to_datetime(df['date'])
#current behaviour
df.groupby('name').idxmin()
>> a ... | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Discovered while investigating #12499
Before:
```
In [1]: pd.Series([np.datetime64('NaT')], dtype=object)
Out[1]:
0 NaN
dtype: object
```
After:
```
In [1]: pd.Series([np.datetime... | {
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] | closed | false | null | [] | null | 4 | 2019-02-26T09:14:05Z | 2019-02-26T14:09:25Z | 2019-02-26T14:09:25Z | NONE | null | Sample data for replication:
```
data = pd.DataFrame({'a': list(range(100)),
'b': list(range(100))})
```
This works:
`pd.qcut(data['a'], 3)`
But this does not work:
```python
def test(data, col, cuts=3):
return pd.qcut(data[col], cuts)
test(data, 'a', 3)
```
Panda... | {
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should run as standalone
```python
# Your code here
import pandas as pd
from enum import Enum, IntEnum, auto
import argparse
# Your code here
class ConnectionRoles(Enum):
Client = auto()
Server = auto()
csv_filename = "test.csv"
dtype_rol... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25449 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25449/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25449/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25449/events | https://github.com/pandas-dev/pandas/issues/25449 | 414,668,749 | MDU6SXNzdWU0MTQ2Njg3NDk= | 25,449 | read_excel throws ValueError: cannot specify usecols when specifying a multi-index header | {
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"description": "read_excel, to_excel",
... | open | false | null | [] | null | 23 | 2019-02-26T15:25:27Z | 2021-08-05T14:01:21Z | null | NONE | null |
```
df=pd.read_excel(xl_file, sheet_name=xl_sheet,header=[18,19], usecols='B,D:J,L')
```
#### Problem description
df=pd.read_excel(xl_file, sheet_name=xl_sheet,header=[18,19], usecols='B,D:J,L')
throws the following error after conda update:
ValueError: cannot specify usecols when specifying a multi-i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25450 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25450/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25450/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25450/events | https://github.com/pandas-dev/pandas/issues/25450 | 414,686,526 | MDU6SXNzdWU0MTQ2ODY1MjY= | 25,450 | Groupby.apply has issues with printing command | {
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] | closed | false | null | [] | null | 1 | 2019-02-26T15:59:34Z | 2019-02-26T16:24:13Z | 2019-02-26T16:24:04Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>>import pandas as pd
>>>df = pd.DataFrame(data=[[1,2], [3, 4], [5, 6]], index=[10, 20, 30])
>>>out = df.groupby(level=0).apply(lambda x: print(x))
```
#### Problem description
When `print` is used within the `groupby.apply`, it seems that ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25451 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25451/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25451/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25451/events | https://github.com/pandas-dev/pandas/issues/25451 | 414,726,380 | MDU6SXNzdWU0MTQ3MjYzODA= | 25,451 | dropna(inplace=True) doesn't work when loading csv in chunks | {
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chunksize = 100000
reader = pd.read_csv(in_file, chunksize=chunksize, encoding='utf-8', engine='python', compression='gzip')
for chunk in reader:
train, valid = np.split(chunk.sample(frac=1).reset_index(drop=True), [int(.8 * len(chunk))])
train.dropna(inplace=True)
if not valid... | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-02-26T19:35:12Z | 2019-10-29T04:48:23Z | 2019-10-23T20:08:08Z | CONTRIBUTOR | null | #### Problem description
Empirically, `pandas.read_excel(foo, na_filter=False)` works as expected, but the na_filter argument doesn't appear to be mentioned in the read_excel docs.
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"description": "Apply, Aggregate, Tra... | open | false | null | [] | null | 3 | 2019-02-26T19:36:37Z | 2020-06-28T06:26:33Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.arange(20).reshape(10,-1), columns=[*'AB'])
def f(x):
print(type(x))
print(df.agg([f]))
```
Output:
<class 'int'>
<class 'int'>
<class 'int'>
<class 'int'>
<class 'int'>
<cl... | {
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This is the final Python 2.x release of isort, and includes the following major changes:
Potentially Interface Breaking:
The -r option for removing imports has been renamed -rm to avoid accidental deletions and confusion with the -rc recursive optio... | {
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```python
data = pd.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]})
data.iloc[:, (1,)] # or data.iloc[:, tuple([1])]
## Below is the stack trace
## I removed personal information in the python path.
IndexingError T... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25457 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25457/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25457/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25457/events | https://github.com/pandas-dev/pandas/issues/25457 | 414,807,324 | MDU6SXNzdWU0MTQ4MDczMjQ= | 25,457 | Grouped dataframe "name" attribute overrides column access / not well documented | {
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... | open | false | null | [] | null | 11 | 2019-02-26T20:37:09Z | 2020-05-13T02:45:15Z | null | NONE | null | #### Code Sample
```python
>>> df = pd.DataFrame({'val': [9, 10, 3, 6, 2, 3], 'name': list('xxyxyy'), 'group': list('aaabbb')})
>>> df
val name group
0 9 x a
1 10 x a
2 3 y a
3 6 x b
4 2 y b
5 3 y b
```
Works correctly:
```python
>>> df.groupby('group').apply(lambda g: g[g['name'] == 'x'])
val... | {
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```python
import pandas as pd
# works fine
x = pd.Series([0])
x.reindex([0,0])
# ValueError: cannot reindex with a non-unique indexer
x.index = x.index.astype('category')
x.reindex([0,0])
```
#### Problem description
When a series or frame has a... | {
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```python
import numpy as np
import pandas as pd
category_idx = pd.Index(['A', 'B'])
date_idx = pd.date_range('2018-01', '2018-02', freq='MS')
idx = pd.MultiIndex.from_product([category_idx, date_idx], names=['category', 'date'])
series = pd.Series(np.random.randn(len(category_idx) * len(d... | {
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... | 1 | 2019-02-27T17:11:49Z | 2019-03-19T16:07:21Z | null | MEMBER | null | Quite a few PRs lately have worked around the validation script error of descriptions not ending with a period when there are bullet points by adding periods to the end of each bullet point. This looks tacky and is really just a hack to get around the validator failing.
Would rather update the validator to maybe ign... | {
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- [X] closes #25135
- [X] tests added / passed (not applicable)
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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... | closed | false | null | [] | null | 3 | 2019-02-27T20:30:38Z | 2019-03-22T02:30:02Z | 2019-03-22T02:30:02Z | CONTRIBUTOR | null | Raises a ValueError when the input to to_datetime contains some numbers
but the unit isn't supplied.
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... | 2 | 2019-02-27T20:54:14Z | 2021-06-27T18:45:37Z | null | MEMBER | null | xref https://github.com/pandas-dev/pandas/pull/25447#discussion_r260730337
#### Code Sample, a copy-pastable example if possible
```python
import pandas.util.testing as tm
ind = tm.makeCategoricalIndex(100)
ind.view('i8')
```
#### Problem description
```python-traceback
----------------------------------... | {
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- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```
################################################################################
###################### Docstring (pandas.read_sql_table) ######################
#########... | {
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PR done in the London python sprints meetup.
CC: @datapythonista | {
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xref #23969 | {
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```python
# Your code here
import pandas as pd
data = [{"name": "test","address": [{"add": "add1"}]},{"address": [{"add": "add2"}]}]
df = pd.io.json.json_normalize(data,"address","name",errors="ignore")
df
```
#### Problem description
In Json_normalize ... | {
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xref #23645 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25470 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25470/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25470/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25470/events | https://github.com/pandas-dev/pandas/issues/25470 | 415,450,401 | MDU6SXNzdWU0MTU0NTA0MDE= | 25,470 | Typo in release page link | {
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] | closed | false | null | [] | null | 6 | 2019-02-28T05:10:46Z | 2019-09-16T15:14:23Z | 2019-09-16T15:14:23Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
#### Problem description
There is a typo in *full whatsnew* link in [pandas 0.24.1 release page](https://github.com/pandas-dev/pandas/releases/tag/v0.24.1) that point to [this page](http://pandas.pydata.org/pandas-docs/version/0.24.2/whatsnew/v0.24.2.html) which... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25471 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25471/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25471/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25471/events | https://github.com/pandas-dev/pandas/issues/25471 | 415,490,628 | MDU6SXNzdWU0MTU0OTA2Mjg= | 25,471 | "SpecificationError: nested dictionary is ambiguous in aggregation" in a certain case of groupby-aggregation | {
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"id": 7... | open | false | null | [] | null | 4 | 2019-02-28T07:50:50Z | 2021-06-27T18:48:11Z | null | NONE | null | All of these examples for using `agg` work fine:
```
import pandas as pd
df = pd.DataFrame({"A":['A','A','B','B','B'],
"B":[1,2,1,1,2],
"C":[9,8,7,6,5]})
df.groupby('A')[['B','C']].agg({'B':'sum','C':'count'})
df.groupby('A')[['B','C']].agg({'B':['sum','count'],'C':'count'})... | {
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#### Code Sample, a copy-pastable example if possible
Download this file [upload.txt](https://github.com/pandas-dev/pandas/files/2917684/upload.txt)
```python
# Your code here
import pandas as pd
from enum import Enum, IntEnum, auto
import argparse
# I attached the file in the github issue
filename = "upl... | {
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"followers_url": "https://api.github.com/users/j... | 0 | 2019-02-28T11:03:08Z | 2019-02-28T12:41:08Z | 2019-02-28T12:41:08Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame(np.arange(12).reshape(3,4), columns=['A', 'B', 'C', 'D'])
df.drop(columns=['A','not_occurring'])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/opt/anaconda3/lib/python3.7/site-packages/pandas/co... | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2019-02-28T11:41:56Z | 2019-02-28T14:11:26Z | 2019-02-28T12:41:08Z | CONTRIBUTOR | null | - [X] closes #25473
- [X] tests added / passed
- [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/25475 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25475/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25475/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25475/events | https://github.com/pandas-dev/pandas/issues/25475 | 415,607,854 | MDU6SXNzdWU0MTU2MDc4NTQ= | 25,475 | New Feature Request: df.style.hide_index() to hide a particular index level | {
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#### Problem description
The present implementation of `df.style.hide_index()` removes the complete index while rendering html.
It would be better to have an optional input of index level and hide only that index level while rendering.
example `df.style.hide_index(level=1)`
It provides more option and flexibi... | {
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```python
def getHourOfTime(myString):
return int(myString[0:2:1])
import pandas as pd
import numpy as np
e = np.random.randint(24, size=100)
e_dataframe = pd.DataFrame(e)
e_dataframe = e_dataframe.rename(index=str, columns={0:'Time_x'... | {
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```
python make.py --single DataFrame.join
Traceback (most recent call last):
File "make.py", line 339, in <module>
sys.exit(main())
File "make.py", line 334, in main
args.verbosity, args.warnings_are_errors)
File "make.py", line 46, in __ini... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
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... | closed | false | null | [] | null | 4 | 2019-02-28T15:04:14Z | 2019-03-01T12:57:50Z | 2019-03-01T12:57:50Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
*When in the `doc` folder:*
```
python make.py --single $(pwd)/source/development/contributing.rst
Running Sphinx v1.8.4
loading pickled environment... done
[autosummary] generating autosummary for: index.rst
building [mo]: targets for 0 po files that are o... | {
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#### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({'A': ["x", "y", "z"], 'B': [1, 2, 3]})
df['A'].plot()
```
#### Problem description
```python-traceback
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-02-28T19:47:48Z | 2019-03-04T08:42:58Z | 2019-03-01T12:57:50Z | CONTRIBUTOR | null | - [X] closes #25480
- [X] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
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#### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
data = {'A': [np.nan, np.nan, np.nan, 0, 1, 2, 3, 4, 5, 6],
'B': [0, 1, 2, np.nan, np.nan, np.nan, 3, 4, 5, 6],
'C': np.arange(10, dtype=np.float64),
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"followers_url": "https://api.github.com/u... | 2 | 2019-02-28T21:21:37Z | 2019-03-03T01:44:23Z | 2019-03-03T01:44:23Z | NONE | null | #### Code Sample:
```python
import numpy as np
import pandas as pd
# construct IntervalIndex from timestamps
# --> Length of index is > 100, the default leaf_size
# --> index is heavily skewed towards Timstamp.max
idx = pd.IntervalIndex.from_arrays(pd.date_range('2018-01-01', '2018-12-31', freq='D'), [pd.Tim... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25486 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25486/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25486/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25486/events | https://github.com/pandas-dev/pandas/pull/25486 | 415,843,418 | MDExOlB1bGxSZXF1ZXN0MjU3MjQ0MzAw | 25,486 | DOC: Use correct pandas when building documentation | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-02-28T22:00:57Z | 2019-03-01T17:57:42Z | 2019-03-01T17:57:39Z | MEMBER | null | This manifested itself in #25419 - when trying to build documentation the version of pandas that gets inserted into the globals of this module may have inadvertently been picked up from another install on the system. This prioritizes the version of pandas dictated by command line args | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25487 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25487/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25487/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25487/events | https://github.com/pandas-dev/pandas/issues/25487 | 415,850,785 | MDU6SXNzdWU0MTU4NTA3ODU= | 25,487 | DOC: Force Removal of pandas From Dependencies | {
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```sh
conda env create -f environment.yml
```
Causes pandas to be installed in the environment from conda as a result of dependency resolution with third party libraries (ex: statsmodels, pyarrow, seaborn).
... | {
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] | closed | false | null | [] | null | 9 | 2019-02-28T23:31:01Z | 2019-05-03T05:30:44Z | 2019-05-03T05:30:44Z | CONTRIBUTOR | null | closes #19129
closes #22525
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/25489 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25489/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25489/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25489/events | https://github.com/pandas-dev/pandas/issues/25489 | 415,873,469 | MDU6SXNzdWU0MTU4NzM0Njk= | 25,489 | read_excel from jupyter notebook for file in github | {
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"de... | closed | false | null | [] | null | 6 | 2019-02-28T23:38:08Z | 2019-03-01T19:06:48Z | 2019-03-01T17:40:02Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25490 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25490/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25490/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25490/events | https://github.com/pandas-dev/pandas/pull/25490 | 415,878,589 | MDExOlB1bGxSZXF1ZXN0MjU3MjcyNDc3 | 25,490 | DOC: Add conda uninstall pandas to contributing guide | {
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add command
`conda uninstall --force pandas` | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
The description of one group of methods in the `Series.interpolate` docstring currently reads:
> ‘nearest’, ‘zero’, ‘slinear’, ‘quadratic’, ‘cubic’, ‘spline’, ‘barycentric’, ‘polynomial’: Passed ... | {
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cc @mroeschke
```sh
=================================== FAILURES ===================================
______... | {
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python:3.6.8
tstables 0.0.15
pandas:0.24.1
#### code
h5.close()
import tstables as tstab
class ts_desc(tb.IsDescription):
timestamp = tb.Int64Col(pos=0)
ts1 = tb.Float64Col(pos=1)
ts2 = tb.Float64Col(pos=2)
ts3 = tb.Float64Col(pos=3)
h5 = tb.open_file(path + 'tstab.... | {
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```python
tttt = pd.DataFrame([5,6,7])
tttt.apply(str)
```
#### Problem description
Output is very strange:
0 0 5\n1 6\n2 7\nName: 0, dtype: int64
dtype: object
#### Expected Output
DataFrame of strings
#### Output of ``pd.show_version... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25495 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25495/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25495/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25495/events | https://github.com/pandas-dev/pandas/issues/25495 | 415,947,681 | MDU6SXNzdWU0MTU5NDc2ODE= | 25,495 | Unexpected dtype when using .loc to set Categorical value for column in 1-row DataFrame | {
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```python
In [1]: import pandas as pd
In [2]: df = pd.DataFrame({'Alpha': [u'a'], 'Numeric': [0]})
In [3]: df.loc[:,'Alpha']
Out[3]:
0 a
Name: Alpha, dtype: object
In [4]: codes = pd.Categorical(df['Alpha'], categories = [u'a',u'b',u'c'])
In [... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25496 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25496/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25496/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25496/events | https://github.com/pandas-dev/pandas/pull/25496 | 415,957,172 | MDExOlB1bGxSZXF1ZXN0MjU3MzMxMTc4 | 25,496 | TST: Fix test_stringified_slice_with_tz failure | {
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- [x] tests added / passed
This test shouldn't need to depend on `datetime.now`
| {
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https://api.github.com/repos/pandas-dev/pandas/issues/25497 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25497/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25497/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25497/events | https://github.com/pandas-dev/pandas/issues/25497 | 416,000,063 | MDU6SXNzdWU0MTYwMDAwNjM= | 25,497 | regression in error message for DatetimeIndex subtraction | {
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... | closed | false | null | [] | null | 4 | 2019-03-01T08:50:26Z | 2020-12-13T09:56:52Z | 2020-12-12T11:34:50Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
td = pd.Timedelta('1 days')
dti = pd.date_range('20130101', periods=3, name='bar')
td - dti
```
#### Problem description
0.25.0.dev0+179.g0a61ecdf6
```python-traceback
Traceback (most recent call last):
File "<stdin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25498 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25498/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25498/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25498/events | https://github.com/pandas-dev/pandas/pull/25498 | 416,001,222 | MDExOlB1bGxSZXF1ZXN0MjU3MzY0Mzc0 | 25,498 | BUG: Fix RecursionError during IntervalTree construction | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Credit to @kingsykes for identifying the issue and determining the fix. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25499 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25499/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25499/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25499/events | https://github.com/pandas-dev/pandas/issues/25499 | 416,001,346 | MDU6SXNzdWU0MTYwMDEzNDY= | 25,499 | BUG: Overflow in IntervalIndex/IntervalArray mid/length | {
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"description": "Interval data type",
... | open | false | null | [] | null | 0 | 2019-03-01T08:54:17Z | 2021-06-27T18:51:32Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
xref #25485
```python
In [1]: import numpy as np; import pandas as pd; pd.__version__
Out[1]: '0.25.0.dev0+180.g016141d'
In [2]: iv = pd.Interval(pd.Timestamp.min, pd.Timestamp.max)
In [3]: ii = pd.IntervalIndex([iv])
In [4]: ii.length
---------------... | {
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"default": f... | open | false | null | [] | null | 3 | 2019-03-01T11:40:29Z | 2021-06-27T18:52:46Z | null | NONE | null | Hi, first of all thanks for the amazing library everyone!
This is a minor issue I'm sure, but I find it impossible to remember the name of the `.pct_change()` function.
Partly this is because of confusion with the existing .diff() function which is easy to remember - I always try things like:
- pctdiff()
- pct_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25501 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25501/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25501/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25501/events | https://github.com/pandas-dev/pandas/issues/25501 | 416,079,697 | MDU6SXNzdWU0MTYwNzk2OTc= | 25,501 | .read_csv() isn't reading escape characters properly | {
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"... | open | false | null | [] | null | 0 | 2019-03-01T12:23:17Z | 2021-06-27T18:54:51Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import sys
if sys.version_info[0] < 3:
from StringIO import StringIO
else:
from io import StringIO
import pandas as pd
import csv
escape_char_defined = '\\'
quote_defined = '"'
separator = "|"
sample_data = []
for i in range... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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xref #24332 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25506 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25506/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25506/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25506/events | https://github.com/pandas-dev/pandas/issues/25506 | 416,143,779 | MDU6SXNzdWU0MTYxNDM3Nzk= | 25,506 | BUG: Setting Timestamp with timezone with .at raises TypeError | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-03-01T15:06:16Z | 2019-03-05T21:11:49Z | 2019-03-05T21:11:49Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pytz
import pandas
series = pd.Series(pd.Timestamp('2017-08-05 00:00:00+0100', tz=pytz.FixedOffset(60)))
series.at[1] = pd.Timestamp('2017-08-05 00:00:00+0100', tz=pytz.FixedOffset(60))
# this produces
TypeError: Argument 'arr' has i... | {
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... | 1 | 2019-03-01T16:09:21Z | 2020-10-30T22:48:54Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
import time
squares = set(a**2 for a in range(100000000))
series = pd.Series(range(100))
start = time.time()
apply_result = series.apply(lambda x: x in squares)
apply_end = time.time()
isin_result = series.isin(squares)
isin_end = time.time()
assert((app... | {
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... | 5 | 2019-03-01T16:33:27Z | 2020-04-01T04:22:02Z | null | NONE | null | The following code fails on 0.24.1, doesn't fail on 0.23.4 but result was wrong.
```python
from datetime import datetime, timezone, timedelta
start = datetime(2019, 1, 1, tzinfo=timezone.utc)
df = pd.DataFrame.from_records(
{
"date": [start + timedelta(days=i) for i in range(5)],
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https://api.github.com/repos/pandas-dev/pandas/issues/25509 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25509/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25509/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25509/events | https://github.com/pandas-dev/pandas/issues/25509 | 416,209,839 | MDU6SXNzdWU0MTYyMDk4Mzk= | 25,509 | Dir fails on dataframes with pathological column names | {
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"followers_url": "https://api.github.com/users/j... | 7 | 2019-03-01T17:42:53Z | 2020-03-19T19:50:39Z | 2020-03-19T19:50:39Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({'\ud83d': []})
_ = dir(df)
```
```python-traceback
---------------------------------------------------------------------------
UnicodeEncodeError Traceback (most recent call last)
<... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25510 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25510/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25510/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25510/events | https://github.com/pandas-dev/pandas/issues/25510 | 416,213,318 | MDU6SXNzdWU0MTYyMTMzMTg= | 25,510 | New feature request: skip_window(s) for df.rolling | {
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"followers_url": "https://api.github.com/u... | 4 | 2019-03-01T18:12:44Z | 2019-03-02T21:08:09Z | 2019-03-02T21:08:09Z | CONTRIBUTOR | null | looks like our builds are failing as we are now picking up numpy 1.16.1; I belive 1.16.2 fixes this, so once this is fully pushed should be ok.
These failures manifest with pytables. https://travis-ci.org/pandas-dev/pandas/jobs/500453356
cc @pandas-dev/pandas-core
let's hold off merging for now / we could sim... | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-03-01T19:23:06Z | 2019-06-01T14:45:07Z | 2019-06-01T14:45:07Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
# Doesn't work
pd.to_datetime(pd.Series([pd.np.nan, '19750501', '19820001', '19770501']), format='%Y%m%d', errors='coerce')
pd.to_datetime(pd.Series(['19750501', pd.np.nan, '19820001', '19770501']), format='%Y%m%d', errors='coe... | {
"+1": 2,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 2,
"url": "https://api.github.com/repos/pandas-dev/pandas/issues/25512/reactions"
} | https://api.github.com/repos/pandas-dev/pandas/issues/25512/timeline | null | null | null |
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