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https://api.github.com/repos/pandas-dev/pandas/issues/32116 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32116/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32116/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32116/events | https://github.com/pandas-dev/pandas/pull/32116 | 567,771,837 | MDExOlB1bGxSZXF1ZXN0Mzc3MzM0OTc3 | 32,116 | REF: collect arithmetic benchmarks | {
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This collects the scattered benchmarks in one place, cleaning up and fleshing these out is for a separate pass.
I also intend to do something analogous for indexing ben... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32117 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32117/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32117/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32117/events | https://github.com/pandas-dev/pandas/issues/32117 | 567,829,488 | MDU6SXNzdWU1Njc4Mjk0ODg= | 32,117 | convert_dtypes fails with int and str | {
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"followers_url": "https://api.github.... | 4 | 2020-02-19T20:34:26Z | 2020-02-21T14:48:51Z | 2020-02-21T14:48:51Z | NONE | null | #### Code Sample, a copy-pastable example if possible
Thanks for an amazing package and maintaining it
```python
# Your code here
s = pd.Series(["h", "i", 1])
s.convert_dtypes()
```
#### Problem description
Example raises an error, when it shouldn't. I think the case is missing from the tests
**Note**: W... | {
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"de... | closed | false | null | [] | null | 6 | 2020-02-19T20:37:12Z | 2021-01-04T06:20:41Z | 2020-02-21T02:15:45Z | MEMBER | null | Scattered throughout the tests we have other helpers like assert_block_equal that probably belong in `tm`. Before trying to collect all of these, it makes sense to split this already-cumbersome module. | {
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I first discovered this issue attempting a comparison of the following form
**Case 1**
```python
>>> import pandas as pd
>>> import numpy as np
>>> a = pd.Series(pd.SparseArray(np.arange(10)))
>>> b = pd.Series(np.arange(11))
>>> (a == 5) & (b == 5)
```... | {
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] | closed | false | null | [] | null | 9 | 2020-02-19T21:34:30Z | 2020-02-26T01:37:31Z | 2020-02-26T01:37:31Z | MEMBER | null | ```
> assert re.search(r"commit\s*:\s[0-9a-f]{40}\n", result)
E AssertionError: assert None
E + where None = <function search at 0x102703560>('commit\\s*:\\s[0-9a-f]{40}\\n', '\nINSTALLED VERSIONS\n------------------\ncommit : None\npython : 3.7.6.final.0\npython-bits ... ... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Could use confirmation from OP that this does in fact close #31760. | {
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- [ ] xref #29547
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
pd.DataFrame({'x': [1, 1, 2, 2], 'y': [1, 2, 3, pd.NA]}).groupby('x').first()
# *** TypeError: boolean value of NA is ambiguous
pd.DataFrame({'x': [1, 1, 2, 2], 'y': [1, 2, 3, np.nan]}).groupby('x').first()
# y
# x
# 1 1.0
# 2 3.0
pd.DataFrame({'x': [1, 1, 2, 2], 'y'... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This comparison `val == val` happens in a lot of these groupby operations but only seems to raise here in the presence of `NA`. Are we just always /... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32125 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32125/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32125/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32125/events | https://github.com/pandas-dev/pandas/issues/32125 | 568,134,474 | MDU6SXNzdWU1NjgxMzQ0NzQ= | 32,125 | Missing labels when applying style gives a KeyError | {
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"color": "006b... | closed | false | null | [] | null | 9 | 2020-02-20T08:33:47Z | 2021-02-10T20:30:51Z | 2021-02-10T20:30:51Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({"a": [1, 2, 3], "b":[4, 5, 6]})
df.style.bar(["a", "b", "c"])
```
#### Problem description
This issue occurs when passing a list of columns to `bar()` where one (or more) of the columns is not present in the dataframe. It will ... | {
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"followers_url": "https://api.github.... | 1 | 2020-02-20T13:52:45Z | 2020-02-21T14:49:05Z | 2020-02-21T14:48:51Z | CONTRIBUTOR | null | - [x] closes #32117
- [x] tests added / passed
- added new cases for `test_convert_dtypes`
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
- placed in v1.0.2 whatsnew
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"id": 16... | open | false | null | [] | null | 2 | 2020-02-20T15:10:56Z | 2020-04-14T23:51:47Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
np.random.seed(42)
df = pd.DataFrame({"a": np.random.rand(20)})
for prec in range(1,10):
print(f"Prec: {prec}, first interval: {pd.qcut(df['a'], q=10, precision=prec).cat.categories[0]}")
# Prec: 1, first interval: (0.011000000000000001, 0.15... | {
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] | closed | false | null | [] | null | 3 | 2020-02-20T15:23:09Z | 2021-03-07T16:55:45Z | 2020-03-13T22:37:15Z | MEMBER | null | When working on indexing methods, I find myself grepping for the names, and having the extra Appender lines is a small-but-repeated nuisance.
In py36+ we can use `__init_subclass_` to automatically inherit docstrings without needing to repeat these Appenders.
This PR only does this for a few methods as a proof of... | {
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"de... | closed | false | null | [] | null | 2 | 2020-02-20T16:01:38Z | 2020-04-03T04:34:16Z | 2020-04-03T04:34:16Z | NONE | null | Hi, Would it be possible to implement pivot with a list of index ?
This will throw an error :
```python
df.pivot(index=['time', 'category'], columns='bar', values='baz')
```
But this does : (Found on Stack Overflow)
```python
def multiindex_pivot(df, index=None, columns=None, values=None):
if index is Non... | {
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In [2]: idx = pd.Index(range(1000)).insert(-1, 1)
In [3]: %timeit idx[:5] ... | {
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Removes nonsense test (constructs an invalid NDFrame)
Preparatory for making a potential fastpath _from_mgr constructor.
`attrs` is never passed. Is there a plan to do so @TomAugspurger ? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32132 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32132/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32132/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32132/events | https://github.com/pandas-dev/pandas/issues/32132 | 568,459,157 | MDU6SXNzdWU1Njg0NTkxNTc= | 32,132 | pandas import error | {
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Description
What steps will reproduce the problem?
import pandas
Traceback (most recent call last):
File "", line 1, in
import pandas
File "C:\Users\tjash\Anaconda3\lib\site-packages\pandas_init_.py", line 54, in
from pandas.core.api import (
File "C:\Users\tjash\Anaconda3\lib\site-packages\pandas\core\... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry | {
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"... | open | false | null | [] | null | 1 | 2020-02-20T17:52:10Z | 2020-04-28T06:06:33Z | null | NONE | null | #### Code Sample
```
import pandas as pd
import numpy as np
from io import StringIO
TESTDATA1 = StringIO("""col1;col2
1;123
2;456
3;1582218195625938945
""")
TESTDATA2 = StringIO("""col1;col2
1;123
2;
3;1582218195625938945
""")
D1 = pd.read_csv(TESTDATA1, sep=";",... | {
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"de... | open | false | null | [] | null | 0 | 2020-02-20T19:13:31Z | 2021-07-29T04:25:47Z | null | MEMBER | null | xref #9595 for an overview the the indexing API, this is focused on the state of the code.
Needs Eyeballs
---------------
- Tests are scattered:
- tests/indexing/
- tests/(frame|series)/indexing/
- tests/indexes/*/indexing
- Moreover, many of the indexing tests are leftover from ix, and it isn't c... | {
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... | closed | false | null | [] | null | 4 | 2020-02-20T20:29:57Z | 2020-10-02T15:07:46Z | 2020-10-02T15:07:46Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
dates = pd.date_range(start='2020-02-01 09:30:00.01', periods=5, freq='14ms')
dates2 = pd.date_range(start='2020-02-01 11:00:00.01', periods=5, freq='8ms')
df = pd.DataFrame({'A': [1] * 10 + [2] * 10,
'B': np.concatenate((dates, d... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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findtime = pd.Timestamp('2019-12-12 10:19:25', tz='US/Eastern')
start = pd.Timestamp('2019-12-12 0:0:0', tz='US/Eastern')
end = pd.Timestamp('2019-12-13 0:0:0', tz='US/Eastern')
testindex = pd.date_range(start, end, freq='5s')
testindex.get_loc(findtime, method='nearest')
```
#### Problem description... | {
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In turn this will allow us to simplify `_simple_new` and tighten up what it expects. Saved for separate PR. | {
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- [x] tests added / passed
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cc @jorisvandenbossche
```
=================================== FAILURES ===================================
________________________________ test_geopandas ________________________________
[gw0] linux -- ... | {
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```python
>>> pd.test()
running: pytest --skip-slow --skip-network --skip-db /usr/local/lib/python3.6/dist-packages/pandas
ImportError while loading conftest '/usr/local/lib/python3.6/dist-packages/pandas/conftest.py'.
/usr/local/lib/python3.6/dist-packages/p... | {
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```
import pandas as pd
# a series with booleans and nan
pd.Series([False,True,True,pd.NA]).value_counts(dropna=False)
True 2
False 1
True 1
dtype: int64
# check the actual index of the value_counts result
pd.Series([False,True,True,pd.NA]).... | {
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import sqlalchemy as sa
from sqlalchemy import create_engine
engine = create_engine('sqlite:///:memory:')
data = pd.DataFrame({'id':[26,42,63],
'Date':['2012-10-18','2012-10-19', '2012-10-20'],
'Col_1':['X','Y','Z'],
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... | open | false | null | [] | null | 15 | 2020-02-21T15:53:54Z | 2021-07-29T04:28:01Z | null | CONTRIBUTOR | null | #### Code Sample
```python
import pandas as pd
df = pd.DataFrame({'A': [1, 1, 1, 2, 2], 'B': range(5), 'C': range(5)})
df.groupby('A').agg({'B': 'sum', 'G': 'min'}) # aggregate by a non existing column
```
produces
```
<ipython-input-5-f5ac34bf856f> in <module>
----> 1 df.groupby('A').agg({'B': 'sum', ... | {
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dti = pd.date_range('2016-01-01', periods=10)
left, right = dti[:5], dti[5:]
joined = left.join(right, how="outer")
```
In master `joined.freq` comes back as None, while in 0.25.3 it was "D". There is some code in DatetimeIndex._wrap_joined_index that suggests to me this was intentional.
Can someone conf... | {
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- [x] tests added / passed
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@jbrockmendel with tests moving around, is this OK for the backport. i.e. in the same place as on master. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32161 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32161/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32161/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32161/events | https://github.com/pandas-dev/pandas/pull/32161 | 569,148,797 | MDExOlB1bGxSZXF1ZXN0Mzc4NDQyOTA1 | 32,161 | Backport PR #32155 on branch 1.0.x (TST: add test for DataFrame.reindex on nearest tz-aware DatetimeIndex) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32162 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32162/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32162/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32162/events | https://github.com/pandas-dev/pandas/issues/32162 | 569,171,830 | MDU6SXNzdWU1NjkxNzE4MzA= | 32,162 | Multiple aggregation on Groupby with DatetimeIndex and Categorical column or chained Groupby and Resample with multiple aggregation functions | {
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Setup
-----
```python
import pandas as pd
joint = pd.DataFrame({"a": [0, 1, 2, 3, 0, 1, 2],
"cat": pd.Categorical(["a", "b", "... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32163 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32163/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32163/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32163/events | https://github.com/pandas-dev/pandas/pull/32163 | 569,173,123 | MDExOlB1bGxSZXF1ZXN0Mzc4NDYzMzI4 | 32,163 | Error on C Warnings | {
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Note that there is also a warning emitted by cython for unreachable code in groupby, but -Werror wouldn't affect the "cythonization" step.
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https://api.github.com/repos/pandas-dev/pandas/issues/32164 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32164/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32164/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32164/events | https://github.com/pandas-dev/pandas/pull/32164 | 569,190,579 | MDExOlB1bGxSZXF1ZXN0Mzc4NDc3ODc1 | 32,164 | CLN: Fix exception causes in datetimelike.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32165 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32165/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32165/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32165/events | https://github.com/pandas-dev/pandas/issues/32165 | 569,240,259 | MDU6SXNzdWU1NjkyNDAyNTk= | 32,165 | Applying groupby and aggregating with nunique over float column with nulls unexpectedly changes dataframe | {
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```python
import pandas as pd
import numpy as np
print( pd.__version__ ) # 1.0.1
df = pd.DataFrame( [[1, 0], [2, np.nan], [3, np.nan]], columns=['a', 'b'] )
print( df )
# a b
# 0 1 0.0
# 1 2 NaN
# 2 3 NaN
unused = df.groupby('a').agg({'b': '... | {
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- [x] tests added / passed
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also just a nice cleanup, hoping to get this into ExtensionIndex before long | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32167 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32167/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32167/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32167/events | https://github.com/pandas-dev/pandas/pull/32167 | 569,247,354 | MDExOlB1bGxSZXF1ZXN0Mzc4NTI0NzQ1 | 32,167 | BUG: Index(categorical, dtype=object) not returning object dtype | {
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In master we get a `CategoricalIndex` back.
Fixing this turns out to be pre-requisite to fixing a bug in `CategoricalDtype._from_values_or_dtype`,... | {
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xref #32167. Together with that, this will allow us to simplify the CategoricalIndex constructor. | {
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```python
df=DataFrame([1,2,3,4],[4,5,6,7], columns= [list('abcd'), list('cdef')])
```
#### Problem description
when creating DataFrame by list of list with multiIndex, raise ValueError. I'm new to pandas, I don't know why, but it seems like a bug...
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... | 0 | 2020-02-22T10:46:45Z | 2021-09-23T16:14:14Z | null | NONE | null | Hi there,
it seems that something changed in python 3.8 that makes `pandas.Timestamp.utctimetuple()` raise a `TypeError` instead of producing a `time.struct_time`.
#### Code Sample
```python
In [1]: date = pd.to_datetime("2000-01-01", utc=True)
In [2]: d... | {
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just reopening #31973 for now - this doesn't special-case NaT. Will think if there's a better way to do it, feel free to close / take over if it's ... | {
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- [ ] tests added / passed
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There's a `sort` fixture in `tests.indexes.interval.test_setops`, which could be used in other places as well. For instance in `test_difference_base` in `pandas/tests/indexes/common.py... | {
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- [x] tests added / passed
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- dta - dta.astype(object) currently raises TypeError
- ditto dti - dti.astype(object)
- tda + dta.astype(object) returns ndarray of timestamps instead of DatetimeArray
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https://api.github.com/repos/pandas-dev/pandas/issues/32187 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32187/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32187/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32187/events | https://github.com/pandas-dev/pandas/pull/32187 | 569,395,721 | MDExOlB1bGxSZXF1ZXN0Mzc4NjMzMzU5 | 32,187 | CLN/TST: parametrize some tests in tests.indexing.test_float | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32188 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32188/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32188/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32188/events | https://github.com/pandas-dev/pandas/issues/32188 | 569,398,128 | MDU6SXNzdWU1NjkzOTgxMjg= | 32,188 | BUG/ENH: MI.get_level_values and MI.set_levels get confused if level name happens to be int | {
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```python
>>> mi = pd.MultiIndex.from_frame(pd.DataFrame([[0.5,1],[0.5,0], [0.6, 0], [0.6,1]]), names=[None, 0])
>>> mi
MultiIndex([(0.5, 1),
(0.5, 0),
(0.6, 0),
(0.6, 1)],
)
>>>... | {
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- [x] tests passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/32190 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32190/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32190/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32190/events | https://github.com/pandas-dev/pandas/issues/32190 | 569,408,410 | MDU6SXNzdWU1Njk0MDg0MTA= | 32,190 | BUG: could be a problem related to dropna() | {
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```python
import pandas as pd
import numpy as np
df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'],
"toy": [np.nan, 'Batmobile', 'Bullwhip'],
"born": [pd.NaT, pd.Timestamp("1940-04-25"),
pd.NaT]})
#df
# born... | {
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```
In file included from pandas/_libs/src/ujson/python/date_conversions.h:7:0,
from pandas/_libs/src/ujson/python/date_conversions.c:4:
/home/vsts/miniconda3/envs/pandas-dev/include/python3.7m/datetime.h:204:25: warning: ‘PyDateTimeAPI’ defined but not used [-Wunused-variabl... | {
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"followers_url": "https://api.github.c... | 3 | 2020-02-23T05:30:11Z | 2020-05-06T12:49:41Z | 2020-04-07T10:04:15Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
x = np.array([0,1,2,3,4,5], dtype=np.uint8) # some data
y = np.array([0,1,2,3,4,5], dtype=np.int32) # some other data
g = ['foo', 'bar', 'baz', 'foo', 'bar', 'baz'] # grouping column
df = pd.DataFrame({'x': x, 'y': y, 'g': g}) # constru... | {
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```
import os
os.getcwd()
# your current working directory will be displayed
os.path.exists('Department_of_Recreation_and_Parks__Facility_and_Park_Information.csv')
# Must be True, otherwise it is unrelated to pandas
```
Not sure why you're caring `matplotlib... | {
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```python
import pandas as pd
from scipy.sparse import csr_matrix
mil = 1000000
big_csr_diag_1s = csr_matrix((mil, mil), dtype="float")
# Following line takes around 15 seconds to run
big_csr_diag_1s.setdiag(1)
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https://api.github.com/repos/pandas-dev/pandas/issues/32203 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32203/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32203/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32203/events | https://github.com/pandas-dev/pandas/issues/32203 | 569,518,381 | MDU6SXNzdWU1Njk1MTgzODE= | 32,203 | fillna(inplace=True) does not work with columns selected by loc | {
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`df.loc[df.id==123, 'num'].fillna(0, inplace=True)` doesn't work ,
but `df.loc[df.id==123, 'num'] = 123` works
why not edit the **fillna** function to adapt it in the future.
It seems like a bug.
_Originally posted by @shuiyuejihua in https://github.com/pandas-d... | {
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For more info see the mentioned PR and the unresolved comments in the bottom.
The other tests in this file have ... | {
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Ideally we should just be able to use `... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32207 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32207/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32207/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32207/events | https://github.com/pandas-dev/pandas/issues/32207 | 569,543,306 | MDU6SXNzdWU1Njk1NDMzMDY= | 32,207 | read_excel loses spaces on ods | {
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Create a new spreadsheet with 1 column "testcol" in LibreOffice / OpenOffice & Excel, save as `test.ods`/`test.xlsx`:
```
testcol
this is great
4 spaces
1 trailing
1 leading
2 spaces multiple times
```
For simplicity here as zip: (1 ods, 1 xlsx): [spreadsheets.zip](https://github.com/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32208/events | https://github.com/pandas-dev/pandas/issues/32208 | 569,559,889 | MDU6SXNzdWU1Njk1NTk4ODk= | 32,208 | visual bug in pd.style.background_gradient | {
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#### Problem description
The `pd.style.background_gradient` messes up the color order. That is it display wrongs colors that obviously don't conform the order of underlying numbers.
#### Code Sample, a copy-pastable example if possible
```python
import io
import pandas as pd
pd.read_csv(io.StringIO('''round,l... | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
In [1]: import pandas as pd ... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-02-24T01:05:07Z | 2020-02-26T02:14:14Z | 2020-02-26T02:13:16Z | MEMBER | null | There is a lot of de-duplication to be done, but pytest-based habits dont quite work here. So baby steps. | {
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