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https://api.github.com/repos/pandas-dev/pandas/issues/19910 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19910/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19910/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19910/events | https://github.com/pandas-dev/pandas/pull/19910 | 300,304,384 | MDExOlB1bGxSZXF1ZXN0MTcxNDIzNzAw | 19,910 | BUG: fix to_latex() when using MultiIndex with NaN in (#14249) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This attempt to close #14249 which actually reports two related issues (one in the issue one in the SO link) with to_latex() with MultiIndex when the MultiIndex contains a NaN. ... | {
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Should avoid overlap with #19903.
Catch some currently-implicit cases explicitly. | {
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Closes #19906 | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-02-26T19:11:45Z | 2018-03-01T23:14:01Z | 2018-03-01T23:13:58Z | CONTRIBUTOR | null | - [x] closes #19806
- [x] tests added in `test_groupby.py`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This handles #19806 by adding skipna as an option to both `cumsum` and `cumprod` after groupby. I'm assuming that default behavior is what is described in the docs, ... | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] What's new: Fix incorrect example
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```python
def gen():
yield '1','2',1,2
yield '1','2',1,2
yield '1','3',3,2
yield '2','4',1,2
ser = pd.DataFrame(gen(), columns=["a", "b", "c", "d",]).set_index(["a", "b"])["c"]
print ser
print ser.loc[('1','3')]
print ser.at[('1','3')... | {
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```python
def highlighter(col):
'''
Highlights rows in `highlight_map` keys where df[`highlight map` values]==1
'''
highlight_map = {
'Service Type': 'ServiceType_Added',
'Store #': 'Store_Added',
}
if col.name in highlight_map:
return ['ba... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19919 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19919/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19919/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19919/events | https://github.com/pandas-dev/pandas/pull/19919 | 300,424,366 | MDExOlB1bGxSZXF1ZXN0MTcxNTEzMDA1 | 19,919 | Cythonized GroupBy pct_change | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
This seemed like a logical follow up to #19673. ASV benchmarks below:
```bash
before after ratio
[1e4c50a5] [c8285b5c]
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https://api.github.com/repos/pandas-dev/pandas/issues/19920 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19920/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19920/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19920/events | https://github.com/pandas-dev/pandas/issues/19920 | 300,458,514 | MDU6SXNzdWUzMDA0NTg1MTQ= | 19,920 | BUG: DataFrame.astype(dict) can cause column metadata to be lost | {
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Setup:
```python
In [2]: df = pd.DataFrame(data=np.random.randint(5, size=(3, 4)),
...: columns=pd.UInt64Index(range(500, 504), name='foo'))
...:
In [3]: df
Out[3]:
foo 500 501 502 503
0 4 4 2 1
1 0 2 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19921 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19921/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19921/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19921/events | https://github.com/pandas-dev/pandas/pull/19921 | 300,460,399 | MDExOlB1bGxSZXF1ZXN0MTcxNTM5Nzky | 19,921 | Consistent Timedelta Writing for all Excel Engines | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-02-27T01:30:24Z | 2018-05-14T21:11:43Z | 2018-02-28T00:16:49Z | MEMBER | null | - [X] closes #19900
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
I've basically copied the implementation that was done for the `XlwtWriter` class in #19244 over to the other engine subclasses for an easy fix. This might also fix #19911 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19922 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19922/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19922/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19922/events | https://github.com/pandas-dev/pandas/pull/19922 | 300,462,684 | MDExOlB1bGxSZXF1ZXN0MTcxNTQxNTMz | 19,922 | offsets/liboffsets cleanup | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19923/events | https://github.com/pandas-dev/pandas/pull/19923 | 300,477,254 | MDExOlB1bGxSZXF1ZXN0MTcxNTUxODQz | 19,923 | DOC: fixes pipe example in basics.rst due to statsmodel changes | {
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- [ ] closes #19713
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/19924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19924/events | https://github.com/pandas-dev/pandas/issues/19924 | 300,628,165 | MDU6SXNzdWUzMDA2MjgxNjU= | 19,924 | CI: Failing test on master | {
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```
___________________ TestTSPlot.test_mixed_freq_regular_first ___________________
[gw0] darwin -- Python 3.5.4 /Users/travis/miniconda3/envs/pandas/bin/python
self = <pandas.tests.plotting.test_datetimelike.TestTSPlot object at 0x10d3538d0>
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A while back I went through and added `plt.subplots()` and explicit `ax=ax` to a bunch of the plotting tests. I apparently missed this one. It seemed to help, but they're flaky tests so who knows.
Also ch... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Sample ASV results from this as follows. Across 5 runs I got the upstream/master error every time and none on HEAD
```bash
(pandas_dev) williams-imac:asv_bench williamayd$... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19927/events | https://github.com/pandas-dev/pandas/pull/19927 | 300,768,934 | MDExOlB1bGxSZXF1ZXN0MTcxNzY2NDQ5 | 19,927 | Add documentation to pandas.core.groupby.GroupBy.apply | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19928/events | https://github.com/pandas-dev/pandas/pull/19928 | 300,784,912 | MDExOlB1bGxSZXF1ZXN0MTcxNzc4NDI1 | 19,928 | Add CodeTriage badge to pandas-dev/pandas | {
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[](https://www.codetriage.com/pandas-dev/pandas)
## What is CodeTriage?
CodeTriage is an Open Source app that is designed to make contributing to Open Sourc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19929/events | https://github.com/pandas-dev/pandas/issues/19929 | 300,792,087 | MDU6SXNzdWUzMDA3OTIwODc= | 19,929 | CI: Migrate to circle CI 2.0 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19930/events | https://github.com/pandas-dev/pandas/pull/19930 | 300,794,660 | MDExOlB1bGxSZXF1ZXN0MTcxNzg1Nzg0 | 19,930 | DOC: fix Series.reset_index example | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Show correct values in idx column. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19931/events | https://github.com/pandas-dev/pandas/issues/19931 | 300,807,580 | MDU6SXNzdWUzMDA4MDc1ODA= | 19,931 | Pandas complains about an already opened file, even when the file has been closed. | {
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import pandas as pd
class Foo():
def __init__(self):
self.tt = pd.HDFStore('<filename>.hdf', mode = 'a')
self.tt.close()
self.tt = pd.HDFStore('<filename>.hdf', mode='r')
Foo()
```
This throws a ValueError:
```
ValueError: The file '<filename>.hdf' is already opene... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19932/events | https://github.com/pandas-dev/pandas/issues/19932 | 300,830,236 | MDU6SXNzdWUzMDA4MzAyMzY= | 19,932 | DOC: general discussion of our docstring sharing system | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19933/events | https://github.com/pandas-dev/pandas/pull/19933 | 300,840,900 | MDExOlB1bGxSZXF1ZXN0MTcxODIwNzky | 19,933 | Adding sample datasets to be used in the documentation | {
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] | closed | false | null | [] | null | 6 | 2018-02-28T00:03:46Z | 2018-03-06T00:08:15Z | 2018-03-06T00:08:15Z | MEMBER | null | - [X] closes #19710
- [ ] 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/19934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19934/events | https://github.com/pandas-dev/pandas/issues/19934 | 300,869,627 | MDU6SXNzdWUzMDA4Njk2Mjc= | 19,934 | Add doctest flags to setup.cfg | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-02-28T02:40:54Z | 2018-08-20T06:48:57Z | 2018-03-28T17:07:44Z | CONTRIBUTOR | null | pytest let's you add common doctest settings to the `setup.cfg`. I think we should add
```
doctest_optionflags= NORMALIZE_WHITESPACE
```
Any reason not to do this? Any others we should add? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19935/events | https://github.com/pandas-dev/pandas/issues/19935 | 300,958,470 | MDU6SXNzdWUzMDA5NTg0NzA= | 19,935 | pd.to_datetime('today') and pd.Timestamp('today') return different results | {
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```python
pd.Timestamp('today')
pd.to_datetime('today')
```
#### Problem description
pd.to_datetime('today') returns a floored timestamp and pd.Timestamp('today') doesn't
```
In [13]: pd.Timestamp('now')
Out[13]: Timestamp('2018-02-28 09:43:20.060... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19936/events | https://github.com/pandas-dev/pandas/pull/19936 | 301,014,985 | MDExOlB1bGxSZXF1ZXN0MTcxOTQ2NDU0 | 19,936 | DOC: add doc on ExtensionArray and extending pandas | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-02-28T13:00:28Z | 2018-05-02T13:10:21Z | 2018-03-06T15:38:33Z | CONTRIBUTOR | null | - Added a new page on extending pandas
- Added some prose on extension arrays / extension dtypes
- Moved subclassing there
- Added a section to ecosystem.rst about libraries providing extension types and accessors. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19937 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19937/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19937/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19937/events | https://github.com/pandas-dev/pandas/pull/19937 | 301,060,145 | MDExOlB1bGxSZXF1ZXN0MTcxOTgwNzkx | 19,937 | Making to_datetime('today') and Timestamp('today') consistent | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-02-28T15:09:56Z | 2018-03-01T23:02:35Z | 2018-03-01T23:02:32Z | CONTRIBUTOR | null | This PR changes `pd.to_datetime` to be consistent with `Timestamp('today')`.
- [x] closes #19935
- [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/19938 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19938/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19938/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19938/events | https://github.com/pandas-dev/pandas/pull/19938 | 301,063,979 | MDExOlB1bGxSZXF1ZXN0MTcxOTgzNDMw | 19,938 | REF/BUG/API: factorizing categorical data | {
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"followers_url": "https://api.github.com/users/j... | 10 | 2018-02-28T15:19:15Z | 2018-05-02T13:10:14Z | 2018-03-15T10:40:59Z | CONTRIBUTOR | null | This changes / fixes how Categorical data are factorized. The return value of a
factorized categorical is now `Tuple[ndarray[int], Categorical]`.
Before
```python
In [2]: l, u = pd.factorize(pd.Categorical(['a', 'a', 'b']))
In [3]: l
Out[3]: array([0, 0, 1])
In [4]: u
Out[4]: array([0, 1])
```
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https://api.github.com/repos/pandas-dev/pandas/issues/19939 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19939/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19939/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19939/events | https://github.com/pandas-dev/pandas/issues/19939 | 301,099,076 | MDU6SXNzdWUzMDEwOTkwNzY= | 19,939 | Pickled TimedeltaIndex from 0.19.2 cannot be unpickled in 0.20+ using pd.read_pickle | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-02-28T16:48:22Z | 2018-03-04T19:58:23Z | 2018-03-04T19:58:23Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
# On pandas 0.19.2, python 2.7
import pandas as pd
import cPickle as pickle
td30 = pd.timedelta_range('00:30:00', '01:30:00', freq='30T')
td30.to_series().to_pickle('C:/temp/td30.pkl')
pd.read_pickle('c:/temp/td30.pkl')
Out[7]:
00... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19940 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19940/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19940/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19940/events | https://github.com/pandas-dev/pandas/issues/19940 | 301,117,361 | MDU6SXNzdWUzMDExMTczNjE= | 19,940 | Behavior of pivot table labeling is inconsistent between list and tuple for aggfunc | {
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```python
def entropy(x):
return 1 # dummy func
vamp = pd.DataFrame({
'vampire': tuple('nnyyynnn'),
'shadow': tuple('?y?n?yy?'),
'garlic': tuple('yynnnnny'),
'complexion': tuple('prraapar'),
'accent': tuple('nnnhoh... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19941 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19941/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19941/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19941/events | https://github.com/pandas-dev/pandas/issues/19941 | 301,158,116 | MDU6SXNzdWUzMDExNTgxMTY= | 19,941 | Read_csv leaks memory when used in multiple threads | {
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This is coming from this dask-focused stack overflow question: https://stackoverflow.com/questions/48954080/why-is-dask-read-csv-from-s3-keeping-so-much-memory
I've reduced it to a problem with `pandas.read_csv` and a `conc... | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-02-28T22:56:28Z | 2018-03-01T08:59:30Z | 2018-03-01T08:59:26Z | CONTRIBUTOR | null | Currently on master, we have a new failure from the `0.10.0.txt` whatsnew due to the `line_width` option being removed.
Rather than continuing to fix these old examples due to backwards comparability breaks in pandas, could we convert the old `..ipython:: python` blocks to regular `.. code-block:: python` examples s... | {
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- [x] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Added pre-0.20 locations of TimedeltaIndex and Float64Index to pickle_compat.py. | {
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```
$mkvirtualenv pandas-deprecation-repro --python=python2.7
$workon pandas-deprecation-repro
$pip install pandas
$PYTHONWARNINGS=error::FutureWarning python -c "import pandas"
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/Users/davidchudzicki/.virtual... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I noticed that the pandas documentation has pages for [Comparison with SAS](https://pandas.pydata.org/pandas-docs/stable/comparison_with_sas.html), [Comparison with R](https://pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19946 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19946/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19946/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19946/events | https://github.com/pandas-dev/pandas/issues/19946 | 301,281,992 | MDU6SXNzdWUzMDEyODE5OTI= | 19,946 | pandas.DataFrame.apply function calls func twice on the first column/row | {
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```python
addDf.apply(lambda x:addCredit(x['content_name'],x['content_value'],x['credit'],userCreditSession,creditAction,queryDate,creditReason,creditType),axis=1)
```
#### Problem description
In my code ,I want to use apply to add credit for some credit obje... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19948 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19948/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19948/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19948/events | https://github.com/pandas-dev/pandas/pull/19948 | 301,319,636 | MDExOlB1bGxSZXF1ZXN0MTcyMTczMjQ3 | 19,948 | BUG: Preserve column metadata with DataFrame.astype | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Follow-up to #18099 | {
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This is not really ideal, as we then get warnings about None not being a method. Maybe we could somehow connect with the numpydoc process and after its processing remove it .. | {
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AFAIK, there is no dedicated method to flatten an existing multi... | {
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- pass through verbose flag to sphinx | {
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Closes https://github.com/pandas-dev/pandas/issues/19934
Closes https://github.com/pandas-dev/pandas/issues/3439 | {
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```python
#series example then old example that threw the future warning commented out
housing_data['ma_apply_example'] = Series.rolling(window=10,center=False).apply(housing_data['M30'], moving_average)
#housing_data['ma_apply_example'] = pd.rolling_apply(housing_data['M30'], 125, moving_aver... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19954 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19954/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19954/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19954/events | https://github.com/pandas-dev/pandas/issues/19954 | 301,489,882 | MDU6SXNzdWUzMDE0ODk4ODI= | 19,954 | .values on ExtensionArray-backed containers | {
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"followers_url": "https://api.github... | 54 | 2018-03-01T17:23:04Z | 2018-11-29T15:53:22Z | 2018-11-29T15:53:22Z | CONTRIBUTOR | null | Discussed briefly on the call today, but we should go through things formally.
What should the return type of `Series[extension_array].values` and `Index[extension_array].values` be? I believe the two options are
1. Return the ExtensionArray backing it (e.g. like what Categorical does)
2. Return an ndarray with ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19955 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19955/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19955/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19955/events | https://github.com/pandas-dev/pandas/issues/19955 | 301,501,749 | MDU6SXNzdWUzMDE1MDE3NDk= | 19,955 | Resolved | {
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<details>
[paste the output of ``pd.show_versions()`` here below this line]
</details>
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https://api.github.com/repos/pandas-dev/pandas/issues/19956 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19956/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19956/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19956/events | https://github.com/pandas-dev/pandas/issues/19956 | 301,522,498 | MDU6SXNzdWUzMDE1MjI0OTg= | 19,956 | PeriodIndex.ravel returns ndarray[int64] | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19957 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19957/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19957/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19957/events | https://github.com/pandas-dev/pandas/pull/19957 | 301,554,180 | MDExOlB1bGxSZXF1ZXN0MTcyMzQ5NTY0 | 19,957 | ENH: Sorting of ExtensionArrays | {
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I haven't implemented `ExtensionArray.sort_values` yet because it hasn't become necessary. But I can if needed / desired.
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... | 10 | 2018-03-01T21:38:33Z | 2018-07-25T09:54:55Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
frames_difindex = []
frames_sameindex = []
for i in range(1000):
# Create a single-row frame where half the elements are null
a = np.random.rand(600) - 0.5
a[a<0] = np.nan
# All rows here have the same column index
f = pd.DataFrame... | {
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"followers_url": "https://api.github... | 18 | 2018-03-02T05:55:58Z | 2018-05-29T03:47:37Z | 2018-05-29T01:42:55Z | MEMBER | null | AFAICT this is the next-to-last non-raising case for these operations. After this is just object-dtype, and for that we already have the correct implementation in addsub_offset_array, just need to make the condition less strict and add appropriate tests.
- [ ] closes #xxxx
- [x] tests added / passed
- [x] passes ... | {
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cc @datapythonista | {
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```python
import pandas as pd
x = np.int64(4)
print("input isinstance np.int64 ",isinstance(x, np.int64))
print( "input type:", type(x))
df = pd.DataFrame.from_dict({0: {'int64':x}}, orient='index')
print('output')
print("dataframe isinstance np.int64... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19963 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19963/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19963/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19963/events | https://github.com/pandas-dev/pandas/issues/19963 | 301,750,171 | MDU6SXNzdWUzMDE3NTAxNzE= | 19,963 | Classes should maintain a registry of accessors | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-03-02T12:25:39Z | 2018-04-23T12:49:43Z | 2018-04-23T12:49:43Z | CONTRIBUTOR | null | Dask would like to inherit the accessors registered by `register_*_acessor`. This would be much easier if the `regiser_*_accessor` methods added the name of the accessor to a (private) class variable.
It seems like we have use of it in pandas as well: https://github.com/pandas-dev/pandas/pull/19960/files#r171815351 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19964 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19964/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19964/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19964/events | https://github.com/pandas-dev/pandas/pull/19964 | 301,754,299 | MDExOlB1bGxSZXF1ZXN0MTcyNDk0MDI2 | 19,964 | DOC: clarify version of ActivePython that includes pandas | {
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cc @jreback | {
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... | open | false | null | [] | null | 14 | 2018-03-02T14:23:19Z | 2020-05-20T10:13:23Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
Please see the entire sample [in this Gist](https://gist.github.com/Pastafarianist/e61f9ace6dfe849072c7bd45a546e640). Here I'm only copying the code and the output (no data).
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-03-02T14:33:58Z | 2020-01-20T23:15:14Z | 2020-01-20T23:15:14Z | CONTRIBUTOR | null | ```python
In [8]: idx = pd.MultiIndex.from_product([['a', 'b', 'c'], [1, 2, 3]], names=[('A', 'a'), ('B', 'b')])
In [9]: s = pd.Series(1, index=idx)
In [10]: s
Out[10]:
(A, a) (B, b)
a 1 1
2 1
3 1
b 1 1
2 1
3 1
... | {
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From
```python
import numpy as np
import pandas as pd
ser = pd.Series(np.arange(10), pd.interval_range(0, periods=10))
ser.to_msgpack('C:/temp/blah.mpk')
-->
TypeError Traceback (most recent call last)
<ipython-input-8-0da... | {
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1:
The [README](https://github.com/pandas-dev/pandas) has a link about ``DataFrame.ix``. As ``ix`` is deprecated, the link is changed to [selection-by-label](https://pandas.pydata.org/pandas-docs/stable/indexing.html#selection-by-label).
2:
In [selection-by-label... | {
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```python
# Your code here
```
#### Problem description
Hello I am new to python pandas and i am having a problem figuring out how i can merge multiple values inside a single cell into a one line.
Incorrect:
1644107,"Delete stub zones
map.com
map.net"... | {
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```python
dr = pd.date_range('20160101', '20161130', freq='4H', tz='America/New_York')
df = pd.DataFrame({'a':np.arange(len(dr)), 'b':np.arange(len(dr))}, index=dr)
dfnov_view = df.loc['2016-11']
drnov = pd.date_range('20161101', '20161130', freq='4H', tz='Am... | {
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"color": "009800... | closed | false | null | [] | null | 2 | 2018-03-02T18:56:05Z | 2018-07-14T01:02:49Z | 2018-07-14T01:02:49Z | MEMBER | null | Working on de-specializing the SparseDataFrame implementations of a few methods, some of the alignment logic looks like it may be unnecessarily verbose, but I'd like a second opinion (and a first well-informed opinion)
The relevant lines from the DataFrame methods:
```
def _combine_match_columns(self, other, func,... | {
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Use find_common_type instead of np.find_common_type, moving towards de-duping Series/Frame code. | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Setup:
```python
import numpy as np
import pandas as pd
index = pd.date_range(start='2018', freq='M', periods=6)
data = np.ones(6)
data[3:6] = np.nan
datetime = pd.Series(data, index)
period = datetime.to_period()
```
Resampling and summing (`min_count=1`) the Series with a DatetimeIn... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-03-02T21:27:20Z | 2018-03-07T18:04:25Z | 2018-03-07T18:04:24Z | CONTRIBUTOR | null | Adds support for IntervalIndex and Interval; fixes Period and
TimedeltaIndex. Closes #19967 and #13463.
- [ ] closes #19967
- [ ] closes #13463
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```
[gw1] linux -- Python 3.6.4 /home/travis/miniconda3/envs/pandas/bin/python
self = <pandas.tests.frame.test_analytics.TestDataFrameAnalytics object at 0x7f86fa5d54a8>
axis = 0
@pytest.mark.parametrize("axis", [0, 1, None])
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"followers_url": "https://api.github... | 2 | 2018-03-02T22:33:12Z | 2018-09-08T02:52:59Z | 2018-09-08T02:52:59Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
Setup:
```python
In [2]: ii = pd.interval_range(0, 4)
In [3]: df = pd.DataFrame(np.arange(12).reshape(4, 3), index=ii, columns=list('ABC'))
In [4]: df
Out[4]:
A B C
(0, 1] 0 1 2
(1, 2] 3 4 5
(2, 3] 6 7 8
(3, 4] 9 10 11
`... | {
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"followers_url": "https://api.github... | 12 | 2018-03-02T23:08:52Z | 2018-10-29T18:53:17Z | 2018-10-29T18:53:17Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
mi = pd.MultiIndex.from_product([['a','b','c'],[1,2]], names=['ll','nn'])
df = pd.DataFrame({'x': [i for i in range(len(mi))], 'y' : [i*10 for i in range(len(mi))]}, index=mi)
df.rename(columns={'x':'z'}) # This works to change name of one column
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"followers_url": "https://api.github... | 9 | 2018-03-03T04:49:33Z | 2018-05-29T05:00:19Z | 2018-05-29T00:28:41Z | MEMBER | null | - [x] closes #13486
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
The implimentiontion is near identical to https://github.com/python/cpython/blob/master/Lib/_strptime.py an currently works as `datetime.strptime` would:
```
In [3]: f = '%Y... | {
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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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```python
In [2]: pd.DataFrame([[1, 2, 3]]*2).set_index([0, 1]).to_latex()
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
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Please, any indication to improve our PR will be appreciated!
Happy to contribute :-) | {
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The is_sparse function checks to see if
an array-like is spare by checking to see
if it is an instance of ABCSparseArray or
ABCSparseSeries. This commit adds
ABCSparseDataFrame to that list -- so it
can detect that a DataFrame (which is an
array-like ob... | {
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I think something is showing a ``UserWarning`` that didn't before.
like between master and: 52559f535788b3c59c6c78d2cf987b03303b16f6 | {
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While `Index.repeat` does accept `args` and `kwargs`, it does not pass them through to the underlying `numpy` function.
The only additional parameter the numpy function takes is `axis` ([numpy docs](https://docs.sc... | {
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fixed pytest deprecation warning | {
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There are, I think, a few axes that such a benchmark suite might engage:
1. Operation... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19989 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19989/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19989/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19989/events | https://github.com/pandas-dev/pandas/pull/19989 | 302,183,894 | MDExOlB1bGxSZXF1ZXN0MTcyNzgyOTE3 | 19,989 | CLN: Python comprehensions and generators cleanup followup | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Some multiline comprehensions and cleanups I missed in the two passes xref'd above.
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https://api.github.com/repos/pandas-dev/pandas/issues/19990 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19990/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19990/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19990/events | https://github.com/pandas-dev/pandas/pull/19990 | 302,245,049 | MDExOlB1bGxSZXF1ZXN0MTcyODI3MDYz | 19,990 | DOC: update contributing guide regarding updating a pull request (merge master) | {
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Reference discussion: https://mail.python.org/pipermail/pandas-dev/2017-November/000632.html
cc @datapythonista | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19991 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19991/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19991/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19991/events | https://github.com/pandas-dev/pandas/pull/19991 | 302,255,642 | MDExOlB1bGxSZXF1ZXN0MTcyODM0NjEw | 19,991 | CLN/DOC: cache_readonly: remove allow_setting + preserve docstring | {
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This kind of 'works' in that `?` or `__doc__` now give the correct docstring, but it's not yet fully ideal as it is now seen as a class (which will probably mess up sphinx' autodoc/autosummary, which I didn't check yet) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19992 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19992/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19992/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19992/events | https://github.com/pandas-dev/pandas/issues/19992 | 302,261,375 | MDU6SXNzdWUzMDIyNjEzNzU= | 19,992 | BUG: clip with a list-like threshold with a nan is broken | {
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``.clip`` is basically a single or double signed where, where there is a ``nan`` present we just drop the bound entirely which is not correct. A fix for this would also fix #19976. So [31] should yield [30], however for scalars we ignore the nans, so maybe could do that here.
```
In [26]: s = pd.Series... | {
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... | 10 | 2018-03-05T13:11:39Z | 2021-06-19T06:05:08Z | null | NONE | null | #### Code Sample, from Jupyter notebook
```python
import pandas as pd
import datetime
example_multilevel_dict = {
(0, datetime.date(2018, 3, 3)): {'A': 5, 'B': 1344, 'C': 0, 'D': 48, 'E': 20},
(0, datetime.date(2018, 3, 4)): {'A': 5, 'B': 1344, 'C': 0, 'D': 48, 'E': 20},
(1, datetime.date(2018, 3, 3)):... | {
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cc @datapythonista
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```python
weeks = pd.Series(pd.date_range('2018-01', '2018-02', freq='7D', tz='America/New_York'))
week_ago = weeks.groupby([1, 1, 1, 1, 1]).shift()
print(week_ago)
```
Outputs:
```
0 NaT
1 2018-01-01 05:00:00
2 2018-01-08 05:00:00
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As Index.shift is an abstract method, this is more of a docstring for developers implementing a subclass than for end users. | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2018-03-05T17:17:46Z | 2018-03-05T18:37:40Z | 2018-03-05T18:37:16Z | CONTRIBUTOR | null | Hello, I'm not sure if it is an intended behavior or not, and I did not find any mention about this in the documentation or in the github issue tracker. I'm filing it - just in case it was not planned to work this way.
#### Problem description
On save to HDF5 file `RangeIndex` of pandas.DataFrame is converted to ... | {
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"color": "AD7FA8"... | open | false | null | [] | null | 4 | 2018-03-05T18:07:00Z | 2021-06-19T06:06:36Z | null | NONE | null | Many thanks for the excellent software. This report is about behavior I did not expect. Not sure if it is a bug or not.
```python
>>> import pandas as pd
>>> s = pd.Series([10, 20, 30, 'a', 'a', 'b', 'a'])
>>> print(s)
0 10
1 20
2 30
3 a
4 a
5 b
6 a
dtype: object
>>> print(s.repl... | {
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Please note that I also removed **kwargs from the call signature here as they were not being used, so I thought it would be strange to document. For what it's worth I started a discussion on the G[oogle groups list ](https://groups.google.com/forum/#!topic/pandas-do... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20000 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20000/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20000/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20000/events | https://github.com/pandas-dev/pandas/pull/20000 | 302,440,760 | MDExOlB1bGxSZXF1ZXN0MTcyOTcxMTYz | 20,000 | API & BUG: allow list-like y argument to df.plot & fix integer arg to x,y | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
@TomAugspurger
I added support for the user to pass a list-like to y, as discussed in #19699. The API to `df.plot` is relatively complex with lots of args, so lmk with quest... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20001 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20001/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20001/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20001/events | https://github.com/pandas-dev/pandas/issues/20001 | 302,454,415 | MDU6SXNzdWUzMDI0NTQ0MTU= | 20,001 | Unable to Build Documentation | {
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python make.py html
Traceback (most recent call last):
File "doc/make.py", line 23, in <module>
import pandas
ModuleNotFoundError: No module named 'pandas'
```
I believe a slight bug was introduced by c8859b57b891701f250fb05f2cc60d2e6cae2d6b in including `import pandas` at the top of the scri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20002 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20002/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20002/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20002/events | https://github.com/pandas-dev/pandas/issues/20002 | 302,477,148 | MDU6SXNzdWUzMDI0NzcxNDg= | 20,002 | 0.22.0 - Splitting blank string causes exception | {
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```python
import pandas
df = pandas.DataFrame({'test': ['']})
df.test.str.split(expand=True)
```
#### Problem description
Splitting a blank (empty or whitespace) string causes an exception when `expand=True`.
```
IndexError ... | {
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For long series and many categories 'Series.isin()' is slower for `categorical` data rather than for `int64`. If categories are built from strings, then the degradation of the performance is even larger.
```python
import pandas as pd
import numpy as np
N = 3000000
Ncats = 100
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- [ ] tests added / passed
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry | {
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"followers_url": "https://api.github.com/users/jorisva... | 16 | 2018-03-05T23:27:54Z | 2021-09-08T15:35:03Z | 2018-03-07T14:57:01Z | NONE | null | This is a reopening of https://github.com/pandas-dev/pandas/issues/1836. The suggestion there was to add a parameter to `pd.merge`, such as `fillvalue`, whose value would be used instead of `NaN` for missing values. This isn't simply solved by `fillna` since adding `NaN` to columns casts them to `float`.
https://git... | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2018-03-06T00:24:20Z | 2021-05-24T13:44:06Z | 2021-05-24T13:44:06Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: df = pd.DataFrame([[1, 2]], columns=pd.MultiIndex.from_tuples([('', 'first'), ('2', 'second')]))
In [3]: df
Out[3]:
2
first second
0 1 2
In [4]: print(df.to_latex())
\begin{tabular}{lrr}
\toprule
{} & ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20009 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20009/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20009/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20009/events | https://github.com/pandas-dev/pandas/issues/20009 | 302,530,601 | MDU6SXNzdWUzMDI1MzA2MDE= | 20,009 | Providing index to pd.Series destroys categories | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-03-06T01:40:18Z | 2018-03-06T13:38:37Z | 2018-03-06T06:04:25Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
dtype = pd.api.types.CategoricalDtype(categories=["A","B"])
ds1 = pd.Series(data="A", index=[1,2], dtype=dtype)
ds2 = pd.Series(data="A", dtype=dtype)
```
#### Problem description
In the above `ds1` has lost the category "B" while `ds2` has reta... | {
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