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https://api.github.com/repos/pandas-dev/pandas/issues/31415 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31415/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31415/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31415/events | https://github.com/pandas-dev/pandas/issues/31415 | 556,817,380 | MDU6SXNzdWU1NTY4MTczODA= | 31,415 | Bug in AbstractHolidayCalendar.holidays | {
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```python
from pandas.tseries.holiday import AbstractHolidayCalendar
class ExampleCalendar(AbstractHolidayCalendar):
pass
cal = ExampleCalendar()
```
```python
In [58]: cal.holidays(pd.Timestamp('01-Jan-2020'), pd.Timestamp('01-Jan-2021'))
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https://api.github.com/repos/pandas-dev/pandas/issues/31416 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31416/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31416/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31416/events | https://github.com/pandas-dev/pandas/pull/31416 | 556,826,194 | MDExOlB1bGxSZXF1ZXN0MzY4NTI2Njg1 | 31,416 | Fix bug in calculation of holidays | {
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- [x] closes #xxxx
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/31417 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31417/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31417/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31417/events | https://github.com/pandas-dev/pandas/issues/31417 | 556,859,946 | MDU6SXNzdWU1NTY4NTk5NDY= | 31,417 | helper method to sanitize column names of a pandas DataFrame | {
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] | closed | false | null | [] | null | 2 | 2020-01-29T13:24:41Z | 2021-07-27T05:34:42Z | 2021-07-27T05:34:41Z | NONE | null | I will add a method to sanitize column names of a pandas DataFrame and make a pull request
Below is the test code
```python
from pandas import DataFrame
import pandas._testing as tm
def test_sanitize_column_names():
df = DataFrame(
{
"A ": [1],
"b": [1],
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https://api.github.com/repos/pandas-dev/pandas/issues/31418 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31418/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31418/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31418/events | https://github.com/pandas-dev/pandas/pull/31418 | 556,861,566 | MDExOlB1bGxSZXF1ZXN0MzY4NTU2MjI2 | 31,418 | Sanitize column names | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/31419 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31419/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31419/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31419/events | https://github.com/pandas-dev/pandas/pull/31419 | 556,908,391 | MDExOlB1bGxSZXF1ZXN0MzY4NTk1Mjc0 | 31,419 | Backport PR #31150: API: generalized check_array_indexer for validating array-like getitem indexers | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31420 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31420/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31420/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31420/events | https://github.com/pandas-dev/pandas/issues/31420 | 556,925,996 | MDU6SXNzdWU1NTY5MjU5OTY= | 31,420 | Can't pre-define dtype when reading data | {
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The data looks like:
999778247820|R|JPMORGAN CHASE BANK, NATIONAL ASSOCIATION|7.375|113000|360|02/2001|04/2001|95|95|1|52|665|Y|P|SF|1|P|IL|601|30|FRM... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31421 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31421/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31421/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31421/events | https://github.com/pandas-dev/pandas/pull/31421 | 556,926,977 | MDExOlB1bGxSZXF1ZXN0MzY4NjEwNzYz | 31,421 | Backport PR #31411 on branch 1.0.x (COMPAT: dont pass dtype to datetime64) | {
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```python
import pandas as pd
import numpy as np
test = pd.DataFrame(
{
'col1': pd.Series(pd.Categorical(["a", "b", "c", "a"],categories=["a", "b", "c", "d"])),
'col2': np.random.randint(0,100, size=4),
'col3': [12,32,23,22]
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https://api.github.com/repos/pandas-dev/pandas/issues/31423 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31423/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31423/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31423/events | https://github.com/pandas-dev/pandas/pull/31423 | 556,953,712 | MDExOlB1bGxSZXF1ZXN0MzY4NjMzMTAx | 31,423 | PERF: postpone imports in Index constructor | {
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```
arr_str = np.array(["foo", "bar", "baz"], dtype=object)
%timeit pd.Index(arr_str)
```
Only importing the index classes when we actually need them gives a 15-20% speedup.
Last week when profiling ... | {
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Since @TomAugspurger basically wants to release now, this is certainly not a blocker :) | {
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Backport https://github.com/pandas-dev/pandas/pull/3142 | {
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... | closed | false | null | [] | null | 3 | 2020-01-29T23:10:23Z | 2020-01-30T14:22:11Z | 2020-01-30T14:22:11Z | CONTRIBUTOR | null | The site served by `web` assumes that the docs are served from a `/docs/` directory relative to the root. The content of that directory should be equivalent to what we have at https://pandas.pydata.org/pandas-docs/version/1.0.0/, so `/version/1.0.0/` or `/version/stable/`.
Should I symlink `/docs/` to `/version/stab... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31435 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31435/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31435/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31435/events | https://github.com/pandas-dev/pandas/pull/31435 | 557,183,855 | MDExOlB1bGxSZXF1ZXN0MzY4ODIxNjc0 | 31,435 | ENH: Added index to testing assert message when series values differ | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This implements the suggestion made in #31190
In short, where the values in 2 series differ, the assert exception message includes the index as wel... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31436 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31436/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31436/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31436/events | https://github.com/pandas-dev/pandas/pull/31436 | 557,211,112 | MDExOlB1bGxSZXF1ZXN0MzY4ODQzMjQ1 | 31,436 | TST: make sure fixture params are sorted list | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31437 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31437/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31437/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31437/events | https://github.com/pandas-dev/pandas/pull/31437 | 557,225,215 | MDExOlB1bGxSZXF1ZXN0MzY4ODU0NDU2 | 31,437 | BUG: PeriodIndex.is_monotonic with leading NaT | {
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```python
>>>df = pd.DataFrame({'col':np.ones(9)},index=pd.MultiIndex.\
from_product([['A','B','C'],['a','b','c']])).sort_index()
>>>df['col'].loc[(['A','B'],['b','c'])]
A b 1.0
c 1.0
B b 1.0
c 1.0
Name: col, d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31440 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31440/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31440/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31440/events | https://github.com/pandas-dev/pandas/pull/31440 | 557,260,636 | MDExOlB1bGxSZXF1ZXN0MzY4ODgyMzgw | 31,440 | BUG: Fix qcut for nullable integers | {
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- [x] passes `black pandas`
- [x] whatsnew entry
Related to #31389 but doesn't close any issues that I'm aware of. Seems the problems were indexing into a numpy array with a BooleanArray and using searchsorted in the presence of pd.NA. | {
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```python
import pandas as pd
df = pd.DataFrame(['A', 'A', 'B', 'B'], columns=['grps'])
df.groupby('grps').apply(lambda x: x.index.to_list())
```
```python
Traceback (most recent call last):
File "/home/bay2rng/miniconda3/envs/p356_rtp_production_sch... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31444 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31444/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31444/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31444/events | https://github.com/pandas-dev/pandas/issues/31444 | 557,361,090 | MDU6SXNzdWU1NTczNjEwOTA= | 31,444 | Enhancement: code sugar for index.get_level_values | {
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"description": "Related ... | open | false | null | [] | null | 1 | 2020-01-30T09:18:23Z | 2020-04-25T13:35:28Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
data.index.get_level_values('foobar') == 42
# would like to have data.index['foobar'] == 42
```
#### Problem description
Filtering data frame row by one column of multi index is quite common.
Unless I've missed something, the current implement... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31445 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31445/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31445/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31445/events | https://github.com/pandas-dev/pandas/issues/31445 | 557,362,577 | MDU6SXNzdWU1NTczNjI1Nzc= | 31,445 | Feature request: code sugar for index.get_level_values | {
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#### Code Sample
```python
data.index.get_level_values('foobar') == 42
# would like to have data.index['foobar'] == 42
```
#### Problem description
Filtering data frame row by one column of multi index is quite common.
Unless I've missed ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31446 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31446/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31446/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31446/events | https://github.com/pandas-dev/pandas/issues/31446 | 557,414,538 | MDU6SXNzdWU1NTc0MTQ1Mzg= | 31,446 | REGR: Array.__setitem__ failing with nullable boolean mask | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2020-01-30T10:53:50Z | 2020-02-01T14:37:26Z | 2020-02-01T14:37:26Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
s = pd.Series([1, 2], dtype='Int64')
s.where(s > 1)
```
#### Problem description
The code above raises
`TypeError: bad operand type for unary ~: 'BooleanArray'`
#### Expected Output
```
0 <NA>
1 2
dtype: Int... | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2020-01-30T11:28:04Z | 2020-02-01T15:21:12Z | 2020-02-01T15:21:12Z | CONTRIBUTOR | null | #### Code Sample
```python
>>> import pandas as pd
>>> pd.__version__
'1.0.0rc0'
>>> pd.Series(range(8, 12)).to_csv(na_rep='-')
',0\r\n0,8\r\n1,9\r\n2,1\r\n3,1\r\n'
```
#### Problem description
Despite (or due to?) #29975 and #30146, using `na_rep` still makes `to_csv()` truncate values. In this case integ... | {
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... | 3 | 2020-01-30T12:39:00Z | 2020-01-31T12:08:37Z | 2020-01-31T12:08:37Z | NONE | null | ERROR: type should be string, got "\r\nhttps://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html#pandas.read_csv\r\n\r\n" | {
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This problem occurred with ``pandas 1.0.0 py37he350917_0 conda-forge``, but did not before or at least not since 0.24.
```python
import pandas as pd
import numpy as np
index = pd.MultiIndex.from_tuples([("a", "c"), ("b", "x"), ("a", "d")], names=["l1", "l... | {
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```python
import pandas as pd
tbl = pd.DataFrame({"col_num": [1, 1, 2, 3]})
tbl["col_cat"] = tbl["col_num"].astype("category")
# The following line works in 0.25.3 but throws exception in 1.0.0
df = tbl.groupby("col_num").agg({"col_cat": "first"})
```
##... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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#### Code Sample
```python
s = pd.Series([0,1,2], name="x") ... | {
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```python
import pandas._testing as tm
import warnings
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I am not 100% sure this is something we want, or at least with this implementation.
cc @simonjayhawkins | {
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] | closed | false | null | [] | null | 3 | 2020-01-30T15:01:56Z | 2020-02-04T21:36:03Z | 2020-02-04T21:36:03Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
import pandas as pd
s = pd.Series(range(10001))
delta_t = pd.Timedelta("30T")
print(s * delta_t)
```
`Traceback:`
<details>
```
---------------------------------------------------------------------------
ValueError ... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/31459 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31459/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31459/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31459/events | https://github.com/pandas-dev/pandas/issues/31459 | 557,591,007 | MDU6SXNzdWU1NTc1OTEwMDc= | 31,459 | ENH: pd.cut should be able to return a Series of IntervalDtype | {
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```python
In [1]: import pandas as pd
In [2]: import random
In [3]: df=pd.DataFrame({'x': [random.randint(0,10) for i in range(100)]})
In [4]: pd.cut(df.x, [2*i for i in range(6)])
Out[4]:
0 (6.0, 8.0]
1 NaN
2 (0.0, 2.0]
3 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31460 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31460/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31460/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31460/events | https://github.com/pandas-dev/pandas/issues/31460 | 557,593,645 | MDU6SXNzdWU1NTc1OTM2NDU= | 31,460 | DOC: Example of DataFrame.to_csv() is not showing properly | {
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Example of DataFrame.to_csv() is not showing properly. See the screenshoot below:
#### Expected Output
I'll propose a PR fixing the docstring
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https://api.github.com/repos/pandas-dev/pandas/issues/31461 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31461/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31461/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31461/events | https://github.com/pandas-dev/pandas/pull/31461 | 557,597,286 | MDExOlB1bGxSZXF1ZXN0MzY5MTU5OTg5 | 31,461 | DOC: Fix DataFrame.to_csv example | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/31462 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31462/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31462/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31462/events | https://github.com/pandas-dev/pandas/pull/31462 | 557,609,759 | MDExOlB1bGxSZXF1ZXN0MzY5MTcwMDIw | 31,462 | Some code cleanups | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/31463 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31463/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31463/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31463/events | https://github.com/pandas-dev/pandas/issues/31463 | 557,626,398 | MDU6SXNzdWU1NTc2MjYzOTg= | 31,463 | Regression: objToJSON "nonvoid function does not return a value" error is back | {
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```
pandas/_libs/src/ujson/python/objToJSON.c: In function ‘initObjToJSON’:
pandas/_libs/src/ujson/python/objToJSON.c:181... | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-01-30T16:59:16Z | 2020-04-08T17:13:08Z | 2020-04-08T17:13:08Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
pd.read_json('[true, true, false]', typ="series")
```
results in the following Pandas Series object in older Pandas versions:
```
0 1970-01-01 00:00:01
1 1970-01-01 00:00:01
2 1970-01-01 00:00:00
dtype: datetime64[ns]
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engine_clus= pyodbc.connect(connection_string, autocommit=True)
df.to_sql("table", con=engine_clus, if_exists='append', index = False, schema = 'schema')
#### Problem description
We need to load in HIVE a dataframe which contains information from a source ... | {
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... | 7 | 2020-01-30T17:28:18Z | 2020-07-01T16:53:35Z | 2020-07-01T16:53:35Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame([['a', 1], ['b', 2]], columns=['col1', 'col2'])
df.dtypes
df.apply(lambda x: x.dtype)
```
#### Problem description... | {
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"followers_url": "https://api.github.... | 7 | 2020-01-30T17:54:53Z | 2020-03-12T12:18:21Z | 2020-03-12T12:18:21Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python3
import pandas as pd
print(pd.__version__)
a = open('some_file.xlsx', 'rb')
x = pd.ExcelFile(a)
del x
print(a.read())
```
#### Problem description
Above script behaves in different way in pandas 0.25.3 and 1.0.0:
```bash
$ python3 t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31468 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31468/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31468/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31468/events | https://github.com/pandas-dev/pandas/pull/31468 | 557,665,571 | MDExOlB1bGxSZXF1ZXN0MzY5MjE1OTI5 | 31,468 | REF: use inherit_names for DTI | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-01-30T18:13:38Z | 2020-01-31T04:19:20Z | 2020-01-31T03:09:34Z | MEMBER | null | xref #31427, #31433. With all three of these in, we can then remove indexes.datetimelike.DatetimelikeDelegateMixin
Using inherit_names, we also have the option of making tz, tzinfo, dtype cache_readonly if that turns out to make a difference. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31469 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31469/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31469/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31469/events | https://github.com/pandas-dev/pandas/issues/31469 | 557,665,572 | MDU6SXNzdWU1NTc2NjU1NzI= | 31,469 | REGR: __setitem__ with integer slices on Int/RangeIndex is broken (label instead of positional) | {
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```python
import numpy as np
X = pd.DataFrame(np.zeros((100, 1)))
X[-4:] = 1
X
```
In pandas 0.25.3 or lower, this results in the last four entries of X to be 1 and all the others ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31470 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31470/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31470/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31470/events | https://github.com/pandas-dev/pandas/pull/31470 | 557,698,335 | MDExOlB1bGxSZXF1ZXN0MzY5MjQyNTEx | 31,470 | BUG: groupby().agg fails on categorical column | {
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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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"followers_url": "https://api.github.com/users/jr... | 1 | 2020-01-30T19:23:28Z | 2020-02-04T22:52:27Z | 2020-02-04T22:52:27Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
periods = pd.period_range(start="2019-01", periods=4, freq="M")
groups = [1, 1, 2, 2]
df = pd.DataFrame({"periods": periods, "groups": groups})
result = df.groupby("groups")["periods"].min()
```
#### Problem description
The... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31472 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31472/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31472/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31472/events | https://github.com/pandas-dev/pandas/pull/31472 | 557,738,337 | MDExOlB1bGxSZXF1ZXN0MzY5Mjc1Mzc4 | 31,472 | DOC: Fix examples in documentation | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
import inspect
import pandas as pd
df = pd.DataFrame()
try:
members = inspect.getmembers(df)
except Exception as e:
print(e)
```
#### Problem description
A "**Not supported for DataFrames Exception**" is triggered by a simple inspect... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- This is a tiny corner case, at least as measured by tests cases (2 tests reach this)
- With this removed, the `__getitem__` API becomes much simpler to describe: "DataFrame.__getitem__` is always column-based" | {
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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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... | 5 | 2020-01-31T03:25:25Z | 2021-04-05T01:27:00Z | 2021-04-05T01:27:00Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd
>>> s = pd.Series([1, 2, None], dtype="Int64")
>>> s.round(1)
AttributeError: 'float' object has no attribute 'rint'
The above exception was the direct cause of the following exception:
Traceback (most recent call last)... | {
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```python
# Your code here
import warnings
import pandas as pd
warnings.simplefilter("always")
x = pd.Series([], dtype="float64")
df = pd.DataFrame(
{
"year": [2018, 2018, 2018],
"month": [1, 1, 1],
"day": [1, 2, 3],
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https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=27217&view=logs&j=3a03f79d-0b41-5610-1aa4-b4a014d0bc70&t=fe74a338-551b-5fbb-553d-25f48b1836e8&l=687
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/31485 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31485/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31485/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31485/events | https://github.com/pandas-dev/pandas/pull/31485 | 558,020,159 | MDExOlB1bGxSZXF1ZXN0MzY5NDkzNTkx | 31,485 | CLN: named parameters for GroupBy.(mean|median|var|std) | {
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"followers_url": "https://api.github.com/users/j... | 7 | 2020-01-31T09:41:52Z | 2020-02-04T16:25:32Z | 2020-02-02T22:46:32Z | CONTRIBUTOR | null | Drops *args & **kwargs, replace with named parameters for groupby methods mean, median, var & std. Similar to #31473.
This PR has the side effect that the raised error when a parameter is not allowed, is now ``TypeError`` instead of ``UnsupportedFunctionCall``, so technically a API change... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31487 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31487/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31487/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31487/events | https://github.com/pandas-dev/pandas/issues/31487 | 558,041,019 | MDU6SXNzdWU1NTgwNDEwMTk= | 31,487 | Maybe wrong default axis with operators (add, sub, mul, div) between datetime-indexed df and series 1.0.0 | {
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```python
import pandas as pd
index = pd.date_range(start='2020', periods=5)
df = pd.DataFrame([[1, 2, 3]] * 5, columns=['a', 'b', 'c'], index=index)
series = pd.Series([10, 20, 30, 40, 50], index=index)
print(df + series)
```
| | 2020-01-01 00:00:... | {
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#### Code Sample, a copy-pastable example if possible
```python
import pandas
import psutil
proc = psutil.Process()
try:
data = pandas.read_csv('kek.csv', engine='python') # kek.csv is an empty file
except pandas.errors.EmptyDataError:
pass
print(proc.open_files())
```
#### Problem descrip... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31489 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31489/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31489/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31489/events | https://github.com/pandas-dev/pandas/issues/31489 | 558,053,419 | MDU6SXNzdWU1NTgwNTM0MTk= | 31,489 | ~ operator on Series with BooleanDtype casts to object and Series with object dtype gives TypeError comparing to Series with BooleanDtype | {
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Using pandas 1.0.0:
```python
~pandas.Series([True, False], dtype=pandas.BooleanDtype())
```
Or:
```python
s1 = pandas.Series([True, False], dtype=pandas.BooleanDtype())
s2 = pandas.Series([False, True], dtype=pandas.BooleanDtype())
(~s1).equals(s2)... | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-01-31T11:11:56Z | 2020-01-31T11:51:18Z | 2020-01-31T11:51:10Z | CONTRIBUTOR | null | Fix a wrong description in the field accessor `day` of the DatetimeArray class | {
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```python
import pandas as pd
import numpy as np
d = np.datetime64("2000-01-01", "s")
pd.to_datetime(np.full(50, d))
# Works
pd.to_datetime(np.full(51, d))
# ERROR
# pandas._libs.tslibs.np_datetime.OutOfBoundsDatetime: Out of bounds nanosecond timest... | {
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```python
import numpy as np
pd.DataFrame(np.random.rand(300,4),columns=['a','b','c','d']).to_latex()
```
#### Problem description
I'm using Jupyter notebook to write a long document using pandas, which I eventually will nbconvert to a PDF. In the notebo... | {
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Closes #31489 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31495 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31495/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31495/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31495/events | https://github.com/pandas-dev/pandas/issues/31495 | 558,149,833 | MDU6SXNzdWU1NTgxNDk4MzM= | 31,495 | Series shift method breaks for series of pandas Intervals in Pandas 1.0 (works in 0.25.3) | {
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```python
# Problem code example 1
import pandas as pd
test = pd.Series(index=[1, 2], data=[pd.Interval(pd.Timestamp("2020-09-04 10:00:00"), pd.Timestamp("2020-11-30 14:00:00")), pd.Interval(pd.Timestamp("2020-08-14 10:00:00"), pd.Timestamp("2020-09-21 14:00:0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31497 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31497/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31497/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31497/events | https://github.com/pandas-dev/pandas/issues/31497 | 558,159,190 | MDU6SXNzdWU1NTgxNTkxOTA= | 31,497 | StringDtype not preserved when writing + reading parquet or feather | {
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```python
import tempfile
import pandas
df1 = pandas.DataFrame(
["a", "b", "c"], dtype=pandas.StringDtype(), columns=["test"])
with tempfile.NamedTemporaryFile() as fn:
df1.to_parquet(fn)
df2 = pandas.read_parquet(fn)
print(df1.equals(df2)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31498 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31498/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31498/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31498/events | https://github.com/pandas-dev/pandas/issues/31498 | 558,227,574 | MDU6SXNzdWU1NTgyMjc1NzQ= | 31,498 | Add method to handle mixed string and non-string types in object column. | {
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Since the version 1.0.0 and the creation of the StringDtype the use of an object column to handle string would decrease. Nevertheless, and [as in the new documentation is stated](https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.0.0.html)
```
There isn’t a clear way to select just t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31499 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31499/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31499/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31499/events | https://github.com/pandas-dev/pandas/issues/31499 | 558,227,835 | MDU6SXNzdWU1NTgyMjc4MzU= | 31,499 | Pandas 1.0 no longer handles `numpy.str_`s as catgories | {
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```python
import pandas as pd
pd.Categorical(['1', '0', '1'], [np.str_('0'), np.str_('1')])
```
```pytb
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/angerer/Dev/Python/venvs/env-pandas-1/lib/python3.8/site-packages/pandas/core/arrays/categorical.py"... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31500 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31500/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31500/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31500/events | https://github.com/pandas-dev/pandas/pull/31500 | 558,234,447 | MDExOlB1bGxSZXF1ZXN0MzY5NjYzNjcw | 31,500 | DOC: Replaced "the the" with "the" | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/31501 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31501/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31501/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31501/events | https://github.com/pandas-dev/pandas/issues/31501 | 558,239,893 | MDU6SXNzdWU1NTgyMzk4OTM= | 31,501 | Can no longer slice DatetimeIndex with datetime.date values outside the index in 1.0.0 | {
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```python
import pandas as pd
import datetime as dt
s = pd.Series([0,1],pd.DatetimeIndex([dt.date(2019,1,1),dt.date(2019,1,2)]))
s[dt.date(2019,1,1):] # works
s[dt.date(2018,1,1):] # error
```
#### Problem description
As of 1.0.0 you can no longer slice a DatetimeIndex with dt.date valu... | {
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In ExtensionArray.shift, we have the note
```
# Note: this implementation assumes that `self.dtype.na_value` can be
# stored in an instance of your ExtensionArray with `self.dtype`.
```
I wonder, should we have a method / property like... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31503 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31503/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31503/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31503/events | https://github.com/pandas-dev/pandas/issues/31503 | 558,255,250 | MDU6SXNzdWU1NTgyNTUyNTA= | 31,503 | API: query / boolean selection with nullable dtypes with NAs | {
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"followers_url": "https://api.github.... | 19 | 2020-01-31T17:09:33Z | 2020-02-22T15:37:38Z | 2020-02-22T15:37:38Z | CONTRIBUTOR | null | #### Code Sample
Create a dataframe with nullable integer, string, and float data types.
```python
>>> df = df = pd.DataFrame({'a': [1, 3, np.nan], 'b': ['rain', 'shine', None],
'a_float': [1.1, 3.3, np.nan]})
>>> df = df.convert_dtypes()
>>> df
```
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... | 6 | 2020-01-31T17:11:08Z | 2020-07-10T13:58:36Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
With pandas 0.25.3 or master,
```pytb
In [2]: arr = pd.arrays.IntervalArray.from_breaks(pd.date_range('2000', periods=4))
In [3]: arr.shift()
---------------------------------------------------------------------------
TypeError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31505 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31505/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31505/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31505/events | https://github.com/pandas-dev/pandas/issues/31505 | 558,273,256 | MDU6SXNzdWU1NTgyNzMyNTY= | 31,505 | REGR: `copy()` within `apply()` raises ValueError: cannot create a DatetimeTZBlock without a tz, as of 1.0.0 | {
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Minimal example:
```python
import pandas as pd
df = pd.DataFrame({"foo": [pd.Timestamp("2020", tz="UTC")]}, dtype="object")
df.apply(lambda col: col.copy()) # raises exception below
```
Real-life usage:
```python
def filter_dataframe_by_dict(df, filt... | {
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```python
import json
from pandas.io.json import json_normalize
the_json = """
[{"id": 99,
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https://api.github.com/repos/pandas-dev/pandas/issues/31510 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31510/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31510/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31510/events | https://github.com/pandas-dev/pandas/pull/31510 | 558,286,363 | MDExOlB1bGxSZXF1ZXN0MzY5NzA0MjQy | 31,510 | CLN: remove IndexEngine.set_value | {
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Small perf improvement
```
In [3]: dti = pd.date_range('2016-01-01', freq='D', periods=10**4)
In [4]: idx = list('abcdefghijklmnop')
In [5]: arr = np.random.random(len(idx)*len... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31511 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31511/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31511/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31511/events | https://github.com/pandas-dev/pandas/pull/31511 | 558,294,700 | MDExOlB1bGxSZXF1ZXN0MzY5NzExMjk1 | 31,511 | BUG: fix reindexing with a tz-aware index and method='nearest' | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2020-01-31T18:23:51Z | 2020-02-03T03:48:40Z | 2020-02-03T03:48:29Z | CONTRIBUTOR | null | - [x] closes #26683
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
First pandas PR, happy to make changes as needed. Is a whatsnew entry needed? And if so, I assume it should go in v1.0.1.rst? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31512 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31512/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31512/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31512/events | https://github.com/pandas-dev/pandas/pull/31512 | 558,294,723 | MDExOlB1bGxSZXF1ZXN0MzY5NzExMzE3 | 31,512 | CLN: inherit PeriodIndex._box_func | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31513 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31513/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31513/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31513/events | https://github.com/pandas-dev/pandas/pull/31513 | 558,300,029 | MDExOlB1bGxSZXF1ZXN0MzY5NzE1ODg2 | 31,513 | REGR: Fixed truncation with na_rep | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2020-01-31T18:31:06Z | 2020-02-01T15:21:16Z | 2020-02-01T15:21:12Z | CONTRIBUTOR | null | Closes https://github.com/pandas-dev/pandas/issues/31447 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31514 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31514/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31514/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31514/events | https://github.com/pandas-dev/pandas/issues/31514 | 558,311,867 | MDU6SXNzdWU1NTgzMTE4Njc= | 31,514 | json_normalize Doc Broken | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2020-01-31T18:55:45Z | 2020-02-03T19:39:23Z | 2020-02-03T19:39:23Z | MEMBER | null | First google result for json_normalize will yield:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.io.json.json_normalize.html
This however is a dead link. I think the issue is we moved json_normalize to the top-level pd.namespace, so this works:
https://pandas.pydata.org/pandas-docs/stable/r... | {
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