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https://api.github.com/repos/pandas-dev/pandas/issues/22112 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22112/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22112/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22112/events | https://github.com/pandas-dev/pandas/issues/22112 | 345,495,798 | MDU6SXNzdWUzNDU0OTU3OTg= | 22,112 | [DEPR] remove `skipna` kwarg from `infer_dtype`? | {
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closes #21907 | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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xref #21986
Remove more unused variables including ones that were marked in TODOs as unused. | {
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... | 6 | 2018-07-29T20:12:44Z | 2019-06-20T18:46:53Z | 2019-06-20T18:46:52Z | MEMBER | null | To pivot, there's currently:
`pd.pivot_table / df.pivot_table`
https://github.com/pandas-dev/pandas/blob/d30c4a0696d5fbdc3c7ce36a9b9b19224a557e09/pandas/core/reshape/pivot.py#L28
`df.pivot`
https://github.com/pandas-dev/pandas/blob/d30c4a0696d5fbdc3c7ce36a9b9b19224a557e09/pandas/core/reshape/reshape.py#L386
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Not having to scan the values via isna(...).any() will improve the performance.
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
There are no changes visible f... | {
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A _ton_ of `DataFrame` tests are xfailed here. Most of these will be fixed by the follow-up to (#22068 + #22074).
xfails are made strict so that we get alerted when they are fixed. Several existing xfails are removed sin... | {
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```python
import numpy as np
import pandas.core.algorithms as algos
algos.isin([np.nan], [np.nan])
```
#### Problem description
results in
```
array([False], dtype=bool)
```
#### Expected Output
However, I would expect the result to be
```
array([True], dtype=bool)
```
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... | 2 | 2018-07-29T21:40:56Z | 2020-02-28T23:54:05Z | 2020-02-28T23:54:05Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
from cyberpandas import IPArray
import cyberpandas
import pandas as pd
df = pd.DataFrame({"address": IPArray(['192.168.1.1', '192.168.1.10']),"address1": IPArray(['192.168.1.1', '192.168.1.10'])})
print(df.info())
print(df.T.T.info())
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https://api.github.com/repos/pandas-dev/pandas/issues/22121 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22121/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22121/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22121/events | https://github.com/pandas-dev/pandas/pull/22121 | 345,567,559 | MDExOlB1bGxSZXF1ZXN0MjA0NjY0NDMw | 22,121 | DOC: Fix spaces and brackets in ValueError message for option_context. | {
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"followers_url": "https://api.github... | 6 | 2018-07-29T22:19:10Z | 2018-07-30T10:06:36Z | 2018-07-30T10:06:32Z | CONTRIBUTOR | null | Add a missing space and changed a parenthesis to a bracket in the message of the ValueError raised whenever the `args` in `option_context(*args)` don't meet requirements.
'Need to invoke asoption_context(pat, val, [(pat, val), ...)).'
->
'Need to invoke as option_context(pat, val, [(pat, val), ...]).'
- [x] test... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22122 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22122/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22122/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22122/events | https://github.com/pandas-dev/pandas/issues/22122 | 345,578,975 | MDU6SXNzdWUzNDU1Nzg5NzU= | 22,122 | STYLE: Additional flake8 checks | {
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... | 5 | 2018-07-30T00:57:49Z | 2020-01-12T04:47:44Z | 2020-01-12T04:47:43Z | MEMBER | null | Currently we ignore some flake8 checks:
Checks that (currently) we're okay with skipping
- E402, # module level import not at top of file
- E731, # do not assign a lambda expression, use a def
- W503 # line break before binary operator
Checks that should be run
- [x] E741, # do not use variables na... | {
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"followers_url": "https://api.github... | 2 | 2018-07-30T01:16:34Z | 2018-07-30T15:21:44Z | 2018-07-30T10:00:24Z | MEMBER | null | Post #22075
- Ran scripts/convert_deps.py
- Documented flake8 checks we are ignoring
cc @jreback
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"followers_url": "https://api.github... | 0 | 2018-07-30T05:10:55Z | 2018-08-01T22:10:54Z | 2018-08-01T22:10:54Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
...: import numpy as np
...: df = pd.DataFrame({'val': [2, np.nan, 2, 8, 2, np.nan, 6]})
...: df["key"] = pd.Series(["foo"]*7)
In [2]: df
Out[2]:
val key
0 2.0 foo
1 NaN foo
2 2.0 foo
3 8.0 f... | {
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"followers_url": "https://api.github... | 2 | 2018-07-30T05:34:27Z | 2018-08-02T00:58:20Z | 2018-08-01T22:10:54Z | CONTRIBUTOR | null | - [x] closes #22124
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff
- [x] whatsnew entry
This is also related to #19499 | {
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"color": "a1... | open | false | null | [] | null | 11 | 2018-07-30T08:18:15Z | 2020-12-17T21:42:48Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.zeros((200000, 9)), columns=list('hijabcfde'))
# mix datatypes
df['z'] = 'u'
data = np.random.random((200000, 3))
# explicit loop is fast
%timeit for i, k in enumerate('hjf'): df[i] =... | {
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"followers_url": "https://api.github... | 2 | 2018-07-30T08:44:10Z | 2018-07-30T10:05:36Z | 2018-07-30T10:05:24Z | CONTRIBUTOR | null | ## Background
We are sponsoring `PyCon` on September in Japan. And we are planning to influence Pandas in Japan. To do so, we are planning to distribute `Pandas Cheet Sheet` with plastic file at `Pycon`. | {
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Now that https://github.com/pandas-dev/pandas/pull/21813 is in, we should do a 0.23.4 release soon (maybe today?). Any objections?
Here are the issues with 0.23.4: https://github.com/pandas-dev/pandas/issues?q=is%3Aopen+is%3Aissue+milestone%3A0.23.4
IMO, none are... | {
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Python2 **TestDatetime64.test_datetime_name_accessors[en_IL]** fails with `ValueError: unknown locale: en_IL`. The same test passes in Python3.
By default, **tm.get_locales()** should only return locales that can be set without throwing an exception.
Compare the output in Python2:
``... | {
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```python
import numpy as np
import pandas as pd
from pandas.api.types import CategoricalDtype
from time import time
np.random.seed(1)
options = ('Off', 'Low', 'Not working', 'Working bad badly')
p = np.array([0.8, 0.15, 0.049, 0.001])
categorical_type ... | {
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"followers_url": "https://api.github... | 3 | 2018-07-30T15:59:02Z | 2018-08-02T17:21:43Z | 2018-08-02T17:21:37Z | CONTRIBUTOR | null | - [x] closes #22084
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I only added timetz to DatetimeIndex because there was already a timetz method in Timestamp that did essentially the same thing. If it is still worth adding to Timestamp though... | {
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```python
import pandas as pd
import datetime
ts_to_datetime = pd.to_datetime(datetime.datetime(2018, 3, 8, 16, 58, 41, 182221, tzinfo=datetime.timezone.utc))
ts_utcnow = pd.Timestamp.utcnow()
ts_timestamp = pd.Timestamp(datetime.datetime(2018, 3, 8, 16,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22135 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22135/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22135/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22135/events | https://github.com/pandas-dev/pandas/issues/22135 | 345,906,193 | MDU6SXNzdWUzNDU5MDYxOTM= | 22,135 | read_html repeats table (regression in 0.23) | {
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] | closed | false | null | [] | null | 1 | 2018-07-30T20:46:15Z | 2019-12-11T21:07:09Z | 2019-12-11T21:07:09Z | MEMBER | null | Finding some things that don't behave in The Obvious Way:
- [x] `dtypes.common.is_period`
Never used outside of tests, checks for PeriodDtype-like arrays, _not_ `Period` scalar.
- [ ] `dtypes.common.is_datetimelike`
Checks for `datetime64_dtype`, `datetime64tz_dtype`, `PeriodIndex`, or `timedelta64_dtype`... | {
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```python
# Your code here
from keras.models import Sequential
from keras import layers
import numpy as np
data_dim = 21
timesteps = 8
num_classes = 10
num_neurons = 32
num_neurons = np.int64(num_neurons)
def test_model_GRU(data_dim,timesteps,num_cl... | {
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"followers_url": "https://api.github... | 2 | 2018-07-31T01:18:06Z | 2018-08-01T15:43:24Z | 2018-08-01T10:25:13Z | MEMBER | null | This leaves untouched xfails with reasons like "flaky on 3.7" and a few where the test itself is just a `pass`.
In the process a handful of previously xfailed cases are no longer xfailed. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22140 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22140/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22140/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22140/events | https://github.com/pandas-dev/pandas/issues/22140 | 346,013,899 | MDU6SXNzdWUzNDYwMTM4OTk= | 22,140 | pandas.errors.ParserError: Error tokenizing data. C error: EOF inside string starting at line x | {
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"descript... | closed | false | null | [] | null | 3 | 2018-07-31T02:39:47Z | 2020-03-03T02:13:48Z | 2018-08-01T05:02:29Z | NONE | null | ## Data
```txt
Col1|Col2|Col3|Col4
Str1|1|p|num1
Str2|2|q|num2
Str3|3|"|num3
Str4|4|s|num4
```
## Error
```python
>>> import pandas as pd
>>> df = pd.read_csv('./sample.txt', sep='|')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File ".env\lib\site-packages\pandas\io\parsers.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22141 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22141/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22141/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22141/events | https://github.com/pandas-dev/pandas/pull/22141 | 346,020,823 | MDExOlB1bGxSZXF1ZXN0MjA0OTg1Njcy | 22,141 | DOC: DataFrame.merge behaviour for suffix=(False, False) | {
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- N/A tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- N/A whatsnew entry | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22142 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22142/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22142/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22142/events | https://github.com/pandas-dev/pandas/pull/22142 | 346,024,551 | MDExOlB1bGxSZXF1ZXN0MjA0OTg4Mzcy | 22,142 | Fix zillion deprecation warnings in core.dtypes.common | {
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"color": "5319e... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 4 | 2018-07-31T03:48:25Z | 2018-08-08T15:52:25Z | 2018-08-01T01:05:58Z | MEMBER | null | Looking through a recent Travis log I see tons of these:
```
/home/travis/build/pandas-dev/pandas/pandas/core/dtypes/common.py:2026: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future.
if dtype in [object, np.object_, 'object', 'O']:
```
This is driven by (probab... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22143 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22143/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22143/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22143/events | https://github.com/pandas-dev/pandas/issues/22143 | 346,039,617 | MDU6SXNzdWUzNDYwMzk2MTc= | 22,143 | concat with categorical variables | {
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import pandas as pd
cat_type1 = pd.api.types.CategoricalDtype(categories=['a','b'],ordered=False)
cat_type2 = pd.api.types.CategoricalDtype(categories=['b','a'],ordered=False)
cat_type3 = pd.api.types.CategoricalDtype(categories=['b','a','c'],ordered=False)
#pr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22144 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22144/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22144/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22144/events | https://github.com/pandas-dev/pandas/issues/22144 | 346,088,292 | MDU6SXNzdWUzNDYwODgyOTI= | 22,144 | error_bad_lines is ignored if names argument is used in read_csv function | {
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"... | open | false | null | [] | null | 8 | 2018-07-31T08:36:21Z | 2018-08-15T22:02:07Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
#example taken from #20573
import io
import numpy as np
import pandas as pd
buf = io.StringIO("0,1,Amigo,3\n1,1,Inimigo,amigo,9\n2,1,Cowboy,42\n")
names = ['ID','X1','X2','X3']
dtypes = {"X3": int}
pd.read_csv(buf, names=names, error_bad_lines=F... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22145 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22145/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22145/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22145/events | https://github.com/pandas-dev/pandas/issues/22145 | 346,197,278 | MDU6SXNzdWUzNDYxOTcyNzg= | 22,145 | Unpacking dictionary comprehension when using ``.assign()`` returns wrong results | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2018-07-31T13:51:23Z | 2018-07-31T14:13:31Z | 2018-07-31T14:11:54Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({'A': [1, 2], 'B': [5, 6]})
df.assign(**{col + '_NEW': lambda x: x[col] * x['B'] for col in t.columns})
```
#### Problem description
Output contains the same result for all added columns:
```
A B A_NEW B_NEW
0 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22146 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22146/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22146/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22146/events | https://github.com/pandas-dev/pandas/pull/22146 | 346,313,468 | MDExOlB1bGxSZXF1ZXN0MjA1MjA3NDg1 | 22,146 | Replace (private) _checknull with (public) is_nan | {
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"followers_url": "https://api.github... | 2 | 2018-07-31T18:49:08Z | 2018-08-07T17:14:14Z | 2018-08-07T17:12:25Z | MEMBER | null | `util._checknull(x)` is equivalent to `x is None or isnan(x)`. On several occasions I have had to go remind myself what `_checknull` covers. It is much clearer to write out `x is None or util.is_nan(x)`, which is what this PR does.
In at least one place where `_checknull` is currently used, the `is None` part of i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22147 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22147/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22147/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22147/events | https://github.com/pandas-dev/pandas/pull/22147 | 346,365,005 | MDExOlB1bGxSZXF1ZXN0MjA1MjQ3NjMy | 22,147 | use memoryviews instead of ndarrays | {
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"followers_url": "https://api.github... | 5 | 2018-07-31T21:27:59Z | 2018-08-01T22:16:39Z | 2018-08-01T21:53:24Z | MEMBER | null | For lookups and slicing memoryviews are supposed to be more performant than ndarrays. I haven't been able to detect any difference. @xhochy IIRC you've looked at this in some depth; are memoryviews unambiguously better for our purposes?
Getting rid of `from numpy cimport [...]` is necessary (but not sufficient) fo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22148 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22148/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22148/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22148/events | https://github.com/pandas-dev/pandas/issues/22148 | 346,376,131 | MDU6SXNzdWUzNDYzNzYxMzE= | 22,148 | Reading nans in object column | {
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"followers_url": "https://api.github... | 1 | 2018-07-31T22:07:19Z | 2018-08-09T10:40:05Z | 2018-08-09T10:40:05Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
series1 = pd.Series(['hi', np.nan, 'bye'])
series1.to_pickle('tmp/mystery_series.pkl')
series2 = pd.read_pickle('tmp/mystery_series.pkl')
print(series1.isin({np.nan}))
print(series2.isin({np.nan}))
```
#### Problem des... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22149 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22149/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22149/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22149/events | https://github.com/pandas-dev/pandas/pull/22149 | 346,393,305 | MDExOlB1bGxSZXF1ZXN0MjA1MjY5MTAz | 22,149 | Catch IntervalIndex.itemsize deprecation warning in tests and remove IntervalArray.itemsize | {
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"followers_url": "https://api.github... | 1 | 2018-07-31T23:22:38Z | 2018-09-24T17:22:26Z | 2018-08-01T01:07:54Z | MEMBER | null | - [X] closes #22049
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
I don't think a whatsnew entry is needed. This was already deprecated for `IntervalIndex`, but wasn't being caught in the tests, and was displaying the name from the underlying `left`/`right` values... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22150 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22150/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22150/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22150/events | https://github.com/pandas-dev/pandas/issues/22150 | 346,403,534 | MDU6SXNzdWUzNDY0MDM1MzQ= | 22,150 | DataFrame.apply adds a frequency to a freq=None DatetimeIndex as a side-effect | {
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"description": "DateOffse... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 8 | 2018-08-01T00:18:29Z | 2018-09-18T12:28:59Z | 2018-09-18T12:28:59Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
import numpy as np, pandas as pd
def sudden_frequency(num_columns):
index = pd.DatetimeIndex(["1950-06-30", "1952-10-24", "1953-05-29"])
columns = list(range(num_columns))
df = pd.DataFrame(np.random.random((len(index), num_columns)), index... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22151 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22151/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22151/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22151/events | https://github.com/pandas-dev/pandas/issues/22151 | 346,409,784 | MDU6SXNzdWUzNDY0MDk3ODQ= | 22,151 | Multi-Index .loc with nlevels > 2 fails when nlevels - i > 1 levels are specified in a tuple. | {
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```python
import pandas as pd
tuples = [
('2011', '01', 1),
('2011', '01', 2),
('2011', '02', 1),
('2011', '02', 2),
('2012', '01', 1),
('2012', '01', 2),
('2012', '02', 1),
('2012', '02', 2),
]
index = pd.MultiInde... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22153 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22153/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22153/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22153/events | https://github.com/pandas-dev/pandas/pull/22153 | 346,444,017 | MDExOlB1bGxSZXF1ZXN0MjA1MzA1ODg0 | 22,153 | ~Finish collecting m8[ns] tests, start collecting division by zero tests | {
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"followers_url": "https://api.github... | 5 | 2018-08-01T04:29:43Z | 2018-08-07T18:04:25Z | 2018-08-07T18:00:46Z | MEMBER | null | The division by zero tests aren't yet parametrized, are mostly just moved as-is. Both these and the newly moved m8[ns] tests will need a bunch of de-duplication in the next pass.
Tons of DataFrame tests failing. #22074 is the PR we need, though maybe not the one we deserve.
Started in on fixtures. | {
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I think these are new in numpy 1.15
```
pandas/tests/extension/integer/test_integer.py::TestDtype::()::test_check_dtype[UInt64Dtype]
/home/travis/build/pandas-dev/pandas/pandas/core/ops.py:1235: DeprecationWarning: Numeric-style type codes are deprecated ... | {
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"followers_url": "https://api.github... | 2 | 2018-08-01T10:42:11Z | 2018-09-20T21:13:30Z | 2018-08-01T21:49:58Z | CONTRIBUTOR | null | See https://github.com/pandas-dev/pandas/pull/21957#issuecomment-409527005 | {
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"followers_url": "https://api.github... | 2 | 2018-08-01T12:25:30Z | 2018-12-02T19:41:39Z | 2018-12-02T19:37:12Z | CONTRIBUTOR | null | #22110 was supposed to fix a bug introduced by #21224, where xdist fails because fixtures have random order because dicts too do have random order for Python < 3.6.
If appears that this is not fixed after all, as I got the xdist bug in #21699 too. The issue is that it is not even enough to sort by function name, as ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22157 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22157/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22157/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22157/events | https://github.com/pandas-dev/pandas/pull/22157 | 346,584,004 | MDExOlB1bGxSZXF1ZXN0MjA1NDEyODg5 | 22,157 | BUG: make conftest._cython_table deterministic for Python<3.6 | {
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"followers_url": "https://api.github... | 11 | 2018-08-01T12:45:11Z | 2018-09-20T21:12:59Z | 2018-08-20T10:36:43Z | CONTRIBUTOR | null | Closes a bug for Python < 3.6 where xdist gets non-deterministic input because of random dict ordering for Python < 3.6.
See #22156 for details. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22158 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22158/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22158/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22158/events | https://github.com/pandas-dev/pandas/issues/22158 | 346,602,901 | MDU6SXNzdWUzNDY2MDI5MDE= | 22,158 | .str.contains(..., na=False) consistency between categorical and object series | {
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"followers_url": "https://api.github... | 2 | 2018-08-01T13:35:30Z | 2018-11-20T01:13:57Z | 2018-11-20T01:13:57Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd
>>> import numpy as np
>>> s = pd.Series(["a","b","c","a", np.nan], dtype="category")
>>> s
0 a
1 b
2 c
3 a
4 NaN
dtype: category
Categories (3, object): [a, b, c]
# `na=False` kwarg should make... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22159 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22159/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22159/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22159/events | https://github.com/pandas-dev/pandas/issues/22159 | 346,642,326 | MDU6SXNzdWUzNDY2NDIzMjY= | 22,159 | pivot_table drops columns for aggregate functions that return all None, even if dropna=False | {
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#### Code Sample
```python
import... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22160 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22160/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22160/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22160/events | https://github.com/pandas-dev/pandas/issues/22160 | 346,651,585 | MDU6SXNzdWUzNDY2NTE1ODU= | 22,160 | unexpected behavior of pd.core.algorithms._ensure_data() | {
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"followers_url": "https://api.github... | 2 | 2018-08-01T15:29:38Z | 2018-08-10T10:38:15Z | 2018-08-10T10:38:15Z | CONTRIBUTOR | null | #### Examples
Example 1:
```python
import pandas.core.algorithms as algos
comps = ['ss', 42]
values = ['42']
algos.isin(comps, values)
```
results in `array([False, True], dtype=bool)`
Example 2:
```python
import pandas.core.algorithms as algos
comps = ['ss', np.nan]
values = [np.nan]
algos.isin(co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22161 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22161/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22161/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22161/events | https://github.com/pandas-dev/pandas/pull/22161 | 346,654,295 | MDExOlB1bGxSZXF1ZXN0MjA1NDY2OTYz | 22,161 | BUG: ensuring that np.asarray() simple handles data as objects and doesn't… | {
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"followers_url": "https://api.github... | 8 | 2018-08-01T15:36:00Z | 2018-08-11T19:45:01Z | 2018-08-10T10:38:15Z | CONTRIBUTOR | null | … try to do smart things (GH22160)
- [x] closes #22160
- [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/22162 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22162/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22162/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22162/events | https://github.com/pandas-dev/pandas/issues/22162 | 346,811,310 | MDU6SXNzdWUzNDY4MTEzMTA= | 22,162 | benchmarks/reshape.py syntax error on py35 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22163 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22163/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22163/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22163/events | https://github.com/pandas-dev/pandas/pull/22163 | 346,827,130 | MDExOlB1bGxSZXF1ZXN0MjA1NTk2MjI1 | 22,163 | dispatch scalar DataFrame ops to Series | {
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"followers_url": "https://api.github... | 9 | 2018-08-02T01:36:24Z | 2020-04-05T17:40:29Z | 2018-08-14T10:49:12Z | MEMBER | null | Many issues closed; will track them down and update. Will also need whatsnew.
closes #18874
closes #20088
closes #15697
closes #13128
closes #8554
closes #8932
closes #21610
closes #22005
closes #22047
closes #22242
This will be less verbose after #22068 implements `ops.dispatch_to_series`.
This st... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22164 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22164/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22164/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22164/events | https://github.com/pandas-dev/pandas/pull/22164 | 346,859,992 | MDExOlB1bGxSZXF1ZXN0MjA1NjE4ODc5 | 22,164 | CLN: Use public method to capture UTC offsets | {
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Per @pganssle's suggestion, avoiding using private dateutil methods to access the timezone offset and more succinctly using `utcoffset` instead
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https://api.github.com/repos/pandas-dev/pandas/issues/22165 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22165/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22165/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22165/events | https://github.com/pandas-dev/pandas/pull/22165 | 346,898,520 | MDExOlB1bGxSZXF1ZXN0MjA1NjQ3MDE5 | 22,165 | TST: Check DatetimeIndex.drop on DST boundary | {
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Closes #18031.
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[ci skip] | {
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... | open | false | null | [] | null | 2 | 2018-08-02T10:59:17Z | 2020-04-01T03:30:59Z | null | NONE | null | I found a bad behaviour for the dayfirst option in to_datetime. It's seems that dayfirst= True is only applied on the first row.
```python
import pandas as pd
df = pd.DataFrame(['2018-04-11 10:30:00','2018-04-11 10:30:00','2018-04-11 10:15:00'],columns=['date'])
df["date dayFristTrue"] = pd.to_datetime(df["date... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
The issue happens when you try to use 'inf' or '-inf' as part of na_values in read_csv.
Code snippet to reproduce:
```
from StringIO import StringIO
import pandas as pd
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"followers_url": "https://api.github... | 10 | 2018-08-02T14:02:13Z | 2018-11-20T01:14:01Z | 2018-11-20T01:13:57Z | CONTRIBUTOR | null | - [x] closes #22158
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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"de... | closed | false | null | [] | null | 3 | 2018-08-02T15:07:30Z | 2021-10-11T13:40:22Z | 2021-10-11T13:40:21Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({'dt': ['2017-01-01', '2017-01-02', '2017-01-03'], 'id': [1, 1, 2], 'data': [1.0, np.nan, 3.1]})
df['datetime'] = pd.to_datetime(df.dt)
df.groupby(['id', pd.Grouper(key='datetime', freq='2D')]).ffill()
```
output:
```
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```python
>>> import pandas.core.computation.eval as eval
>>> def func(a=None): return a*a
...
>>> eval.eval('func(a=2)')
/expr.py", line 314, in visit
return visitor(node, **kwargs)
File "python3.6/site-pac... | {
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"followers_url": "https://api.github... | 8 | 2018-08-02T19:03:45Z | 2018-08-08T14:39:51Z | 2018-08-08T12:30:55Z | CONTRIBUTOR | null | Checklist for the pandas documentation sprint (ignore this if you are doing an unrelated PR):
- [x] PR title is "DOC: update the docstring"
- [x] The validation script passes: scripts/validate_docstrings.py <your-function-or-method>
- [x] The PEP8 style check passes: git diff upstream/master -u -- "*.py" | flake8 ... | {
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Upsides:
- linting!
- get experience with these, will help in deciding if we want to use them in the non-cython code-base.
- may lower barrier-to-entry for contributors not com... | {
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"followers_url": "https://api.github... | 2 | 2018-08-02T21:34:29Z | 2018-08-08T15:50:40Z | 2018-08-08T10:49:19Z | MEMBER | null | ATM `_tz_convert_dst` handles iteration and masking differently (and more complicated-ly) than other related functions. AFAICT the reasoning is that this implementation is performant when the passed `vals` have a high proportion of `iNaT`s.
By changing this special case to conform to the standard pattern, we allow ... | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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... | open | false | null | [] | null | 0 | 2018-08-02T22:33:27Z | 2021-06-21T01:36:30Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
fig, ax = plt.subplots()
df.groupby('experiment').plot(kind="scatter", x="rmsd", y="score_rank", ax=ax)
plt.legend()
```
#### Problem description
This produces a single plot, but has no labels. No colors, no legend. Just a single plot of gra... | {
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- [x] tests added / passed
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- [x] whatsnew entry
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```python
In [2]: import pandas as pd
In [3]: pd.concat([pd.Series([], dtype='datetime64[ns,... | {
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[X] The PEP8 style check passes: git diff upstream/master -u -- "*.py" | flake8 --diff
[X] The html version looks good: python doc/make.py --single
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This reverts commit 017e910a90cbb29c0f844f4d6aa966ebb5cd680a.
closes https://github.com/pandas-dev/pandas/issues/22098 | {
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... | 8 | 2018-08-03T12:47:34Z | 2021-06-21T01:39:51Z | 2021-06-21T01:39:50Z | NONE | null | Pandas seems to ignore the extra (invalid) parameters. For e.g.
#### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df=pd.read_excel('myfile.xlsx', some_dummy_param=True)
```
Note that some_dummy_param does not throw an error.
#### Problem description
Is there any way to ma... | {
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This is to aid in the release process. Easiest to let conda-build run the tests by default, and disable them where we don't want to run them.
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- [x] closes #20714
- [x] tests added / passed
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- [ ] whatsnew entry
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failling with
```
from pandas/_libs/hashing.c:596:
/home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable i... | {
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] | closed | false | null | [] | null | 10 | 2018-08-03T20:25:08Z | 2018-11-23T03:30:29Z | 2018-11-23T03:30:29Z | NONE | null | read_excel method needs to check if it has received valid parameters only. Use of **kwds allows any parameter that leads to confusion and bugs. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22194 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22194/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22194/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22194/events | https://github.com/pandas-dev/pandas/issues/22194 | 347,561,059 | MDU6SXNzdWUzNDc1NjEwNTk= | 22,194 | low_memory=True in read_csv leads to non documented, silent errors | {
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... | open | false | null | [] | null | 5 | 2018-08-03T23:18:52Z | 2021-06-21T05:23:38Z | null | NONE | null | #### Problem description
Say I have a csv file with a "considerable" number of rows, and a column that matches some value, i.e.
> Note: I've marked the matched values between many `*`
```bash
$ grep -a --text -e "11815057" somefile.csv
9999;40043;2;DUMMY1;1;1101;DUMMY2;3;0;110;1;B;****11815057*****;1;200511... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22195 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22195/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22195/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22195/events | https://github.com/pandas-dev/pandas/pull/22195 | 347,561,750 | MDExOlB1bGxSZXF1ZXN0MjA2MTU4ODU5 | 22,195 | API: Tick arithmetic respects calendar time | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This PR changes `Tick` arithmetic to respect calendar time akin to `Datoffset` for `Timestamp` and `DatetimIndex` (and hence `Series`). There may be some embedded Tick work-aro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22196 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22196/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22196/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22196/events | https://github.com/pandas-dev/pandas/pull/22196 | 347,647,207 | MDExOlB1bGxSZXF1ZXN0MjA2MjA5MjQ1 | 22,196 | Finish moving period_helper to cython | {
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"name": "Period",
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"followers_url": "https://api.github... | 7 | 2018-08-04T20:46:44Z | 2018-08-08T15:51:31Z | 2018-08-07T12:57:38Z | MEMBER | null | - [x] closes #19465
There is probably some cleanup that can be done now that period logic is self-contained.
No evident perf impact.
```
asv continuous -E virtualenv -f 1.1 master HEAD -b period
[...]
before after ratio
[776fed3a] [7cc0d9e8]
+ 1.14±0μs 1.28±0.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22197 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22197/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22197/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22197/events | https://github.com/pandas-dev/pandas/issues/22197 | 347,647,519 | MDU6SXNzdWUzNDc2NDc1MTk= | 22,197 | to_clipboard() example in docs contains an exception | {
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The code example for the to/from_clipboard() functions contains the following exception in the docs:
```
---------------------------------------------------------------------------
PyperclipException Traceback (most rece... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22198 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22198/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22198/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22198/events | https://github.com/pandas-dev/pandas/pull/22198 | 347,649,727 | MDExOlB1bGxSZXF1ZXN0MjA2MjEwODMy | 22,198 | BUG: DataFrame.asof() : Timezone Awareness / Naivety comparison TypeError | {
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- [X] tests added / passed
- [X] whatsnew entry
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"followers_url": "https://api.github... | 0 | 2018-08-05T03:39:54Z | 2018-12-27T19:26:23Z | 2018-12-27T19:26:23Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import io
import gzip
import os
import pandas as pd
fwf = b"""a b c\n1 2 3\n4 5 6"""
with gzip.open('file.gz', 'wb') as gz:
gz.write(fwf)
print(pd.read_fwf('file.gz', compression='infer'))
print(pd.read_fwf('file.gz'))
os.remove('file.gz')... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22200 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22200/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22200/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22200/events | https://github.com/pandas-dev/pandas/pull/22200 | 347,667,333 | MDExOlB1bGxSZXF1ZXN0MjA2MjIwOTc3 | 22,200 | BUG: Infer compression by default in read_fwf() (#22199) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/22201 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22201/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22201/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22201/events | https://github.com/pandas-dev/pandas/pull/22201 | 347,673,959 | MDExOlB1bGxSZXF1ZXN0MjA2MjI0ODI0 | 22,201 | CLN: Old timezone issues | {
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"followers_url": "https://api.github... | 2 | 2018-08-05T06:39:39Z | 2018-08-06T17:22:47Z | 2018-08-06T10:23:27Z | MEMBER | null | - [x] closes #21846
- [x] closes #21737
- [x] closes #20724
- [x] closes #18785
- [x] closes #18308
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/22202 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22202/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22202/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22202/events | https://github.com/pandas-dev/pandas/pull/22202 | 347,675,289 | MDExOlB1bGxSZXF1ZXN0MjA2MjI1NjQx | 22,202 | STYLE/LINT: Set literals | {
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"followers_url": "https://api.github... | 5 | 2018-08-05T07:08:38Z | 2018-08-06T04:33:55Z | 2018-08-06T03:00:18Z | MEMBER | null | xref #22122
Use `{1, 2, 3}` instead of `set([1, 2, 3])` and enforce with a linting rule.
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https://api.github.com/repos/pandas-dev/pandas/issues/22203 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22203/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22203/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22203/events | https://github.com/pandas-dev/pandas/issues/22203 | 347,683,176 | MDU6SXNzdWUzNDc2ODMxNzY= | 22,203 | DataFrame.copy(deep=True) dosen't deep copy the value which type is list() | {
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"description": "Non-arithmetic algos: va... | closed | false | null | [] | null | 4 | 2018-08-05T09:30:03Z | 2018-08-13T04:20:42Z | 2018-08-13T04:20:42Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
a = pd.DataFrame([[1]])
print(a.loc[0][0])
b = a.copy() #.copy(deep=True) as default
b.loc[0,0] = 2
print(b.loc[0, 0]) # 2
print(a.loc[0, 0]) # 1
print(a.loc[0,0] is b.loc[0,0]) # False
print(id(a.loc[0,0]) == id(b.loc[0,0])) #True
# --... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22204 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22204/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22204/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22204/events | https://github.com/pandas-dev/pandas/issues/22204 | 347,684,606 | MDU6SXNzdWUzNDc2ODQ2MDY= | 22,204 | rank columns using row value | {
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] | closed | false | null | [] | null | 1 | 2018-08-05T09:54:45Z | 2018-08-06T03:22:41Z | 2018-08-06T03:22:41Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import cv2
import pandas as pd
data = pd.read_csv("fruit_classifier.csv")
data = data.set_index("Image Names", drop = False)
print(data.loc["percent"])
df.loc['new', rank] = data[].rank(ascending=1)
```
#### Problem d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22205 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22205/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22205/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22205/events | https://github.com/pandas-dev/pandas/issues/22205 | 347,694,350 | MDU6SXNzdWUzNDc2OTQzNTA= | 22,205 | Inconsistent handling of nan-float64 in Series.isin() | {
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"description": "np.nan, pd.NaT, pd.NA, d... | closed | false | null | [] | {
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"followers_url": "https://api.github.co... | 2 | 2018-08-05T12:32:45Z | 2020-09-19T02:14:25Z | 2020-09-19T02:14:25Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
N=10**6
s=pd.Series(np.full(N, np.nan, dtype=np.float64), copy=False)
s.isin([np.nan]).all()
```
results in `True`, however
```python
s=pd.Series(np.full(N+1, np.nan, dtype=np.float64), copy=False)
s.isin([np.nan]).all()
```
results in `F... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22206 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22206/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22206/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22206/events | https://github.com/pandas-dev/pandas/issues/22206 | 347,722,135 | MDU6SXNzdWUzNDc3MjIxMzU= | 22,206 | pd.read_sql_query doesn't find existing table(s) | {
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```python
from tqdm import tqdm
import sqlite3
import pandas as pd
def fins(tickers, dbname):
db = sqlite3.connect(f'dbname')
dataset = []
tables = ['_balance_sheet', '_cash_flow', '_income_statement']
for i in tqdm(tickers):
for j in tqdm(t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22207 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22207/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22207/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22207/events | https://github.com/pandas-dev/pandas/pull/22207 | 347,730,904 | MDExOlB1bGxSZXF1ZXN0MjA2MjU3Njcy | 22,207 | BUG: treat nan-objects the same way float64-nans are treated - all na… | {
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"followers_url": "https://api.github... | 3 | 2018-08-05T21:03:42Z | 2018-08-09T19:34:12Z | 2018-08-09T10:40:05Z | CONTRIBUTOR | null | …ns are from the same equivalence class (GH22119)
- [x] closes #22119
- [x] closes #22148
- [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/22208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22208/events | https://github.com/pandas-dev/pandas/issues/22208 | 347,761,670 | MDU6SXNzdWUzNDc3NjE2NzA= | 22,208 | [Feature Request] Providing a cache option for `pd.read_sql()` | {
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"description": "to_sql, read_sql, rea... | closed | false | null | [] | null | 7 | 2018-08-06T02:52:43Z | 2021-07-02T18:29:24Z | 2021-06-21T05:29:05Z | NONE | null | #### Providing a cache option for `pd.read_sql()`
Is there any work being done to allow a cache mechanism for pandas sql queries? I typically connect pandas to a sql database in a jupyter notebook. However, when I re-run cells it would be nice if these queries were cached in a file unless cache busting is explicit.
... | {
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"followers_url": "https://api.github... | 7 | 2018-08-06T03:20:55Z | 2018-08-16T14:39:07Z | 2018-08-08T10:41:19Z | MEMBER | null | - [x] closes #22116
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
- Moved `pivot` from `pandas/core/reshape/reshape.py` to `pandas/core/reshape/pivot.py`
- Moved `pivot_simple` and `_slow_pivot` from `pandas/core/reshape/reshape.py` to `pan... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22210 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22210/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22210/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22210/events | https://github.com/pandas-dev/pandas/issues/22210 | 347,767,893 | MDU6SXNzdWUzNDc3Njc4OTM= | 22,210 | pd.io.sql.to_sql can't find the existing table | {
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"descript... | closed | false | null | [] | null | 4 | 2018-08-06T03:37:34Z | 2020-02-13T23:25:31Z | 2018-08-06T04:46:47Z | NONE | null | this is my code:
pd.io.sql.to_sql(df, "TMP_ACCOUNT", con, if_exists='append', index=False)
this is my error:
(teradata.api.DatabaseError) (3803, "[42S01] [Teradata][ODBC Teradata Driver][Teradata Database] Table 'TMP_ACCOUNT' already exists. ")
My database is teradata ,and table "TMP_ACCOUNT" is a VOLATILE MUL... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22211 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22211/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22211/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22211/events | https://github.com/pandas-dev/pandas/issues/22211 | 347,796,834 | MDU6SXNzdWUzNDc3OTY4MzQ= | 22,211 | BUG: broken inheritance within pytest? | {
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"gists_url"... | [] | closed | false | null | [] | null | 2 | 2018-08-06T06:38:20Z | 2018-08-06T07:27:49Z | 2018-08-06T07:27:49Z | CONTRIBUTOR | null | This is something I discovered while responding to feedback for #21902
There's a lot going on `tests/indexes/common.py`, and to skip tests that cannot work, several tests have an if condition to exclude certain cases. In particular, `test_has_duplicates` (currently still named ambiguously as `test_duplicates`) has a... | {
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