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https://api.github.com/repos/pandas-dev/pandas/issues/32416 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32416/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32416/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32416/events | https://github.com/pandas-dev/pandas/pull/32416 | 574,849,475 | MDExOlB1bGxSZXF1ZXN0MzgzMTAwMTIx | 32,416 | `_ensure_type` should use `issubclass` | {
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- [x] closes #31925... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32417 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32417/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32417/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32417/events | https://github.com/pandas-dev/pandas/issues/32417 | 574,872,694 | MDU6SXNzdWU1NzQ4NzI2OTQ= | 32,417 | BLD: Clang error while installing snappy in requirements-dev.txt | {
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... | open | false | null | [] | null | 23 | 2020-03-03T18:57:07Z | 2021-07-29T06:25:23Z | null | NONE | null | ### Problem description
I was going through the instructions in setting up the dev environment on Mac here:
[Contributing to pandas](https://github.com/pandas-dev/pandas/blob/master/doc/source/development/contributing.rst#creating-a-python-environment-pip)
And while I was trying to execute the below code:
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https://api.github.com/repos/pandas-dev/pandas/issues/32419 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32419/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32419/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32419/events | https://github.com/pandas-dev/pandas/pull/32419 | 574,901,801 | MDExOlB1bGxSZXF1ZXN0MzgzMTQyMjgw | 32,419 | CLN: move away from .values, _ndarray_values | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32420 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32420/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32420/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32420/events | https://github.com/pandas-dev/pandas/pull/32420 | 574,908,096 | MDExOlB1bGxSZXF1ZXN0MzgzMTQ3NTc2 | 32,420 | ENH: Categorical.fillna allow Categorical/ndarray | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
xref #32414.
cc @TomAugspurger ATM the new test implemented in tests.arrays.categorical.test_missing is failing on the ndarray case for reasons th... | {
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Also (and I know ive asked before) is there a nice way to annotate the return type as "same type as self"? I tried `pandas._typing.... | {
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```python
>>> df = pd.DataFrame(dict(ints=np.arange(3),
... floats=np.arange(3, dtype=float)))
# df.apply callbacks with Series even though raw requested
>>> df.apply(type, raw=True) ... | {
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- [x] closes #32402
- [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/32427 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32427/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32427/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32427/events | https://github.com/pandas-dev/pandas/pull/32427 | 575,126,709 | MDExOlB1bGxSZXF1ZXN0MzgzMzMwNzY3 | 32,427 | CLN: avoid _internal_get_values in groupby.generic | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32429 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32429/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32429/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32429/events | https://github.com/pandas-dev/pandas/pull/32429 | 575,260,369 | MDExOlB1bGxSZXF1ZXN0MzgzNDM4NTA3 | 32,429 | DOC: Fix EX02 in pandas.Index.get_loc | {
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- [ ] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Related to #27977.
```
################################################################################
################################## Vali... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32430 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32430/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32430/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32430/events | https://github.com/pandas-dev/pandas/issues/32430 | 575,260,424 | MDU6SXNzdWU1NzUyNjA0MjQ= | 32,430 | ENH: support nullable dtypes in get_dummies | {
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... | 1 | 2020-03-04T09:39:33Z | 2020-03-10T14:14:56Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
series = pd.Series(list('AA'))
col = pd.get_dummies(series, dtype='UInt8').A
assert col.dtype.name == 'UInt8' # Actual: np.uint8
```
#### Problem description
In `get_dummies`, dtype strings of "Int64", etc., are ignored... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32431 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32431/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32431/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32431/events | https://github.com/pandas-dev/pandas/issues/32431 | 575,281,377 | MDU6SXNzdWU1NzUyODEzNzc= | 32,431 | TypeError: cannot do label indexing on <class 'pandas.core.indexes.base.Index'> with these indexers [nan] of <class 'float'> | {
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import pandas as pd
import numpy as np
df = pd.Series([1, '{1,2}', 1, None])
vc = df.value_counts(dropna=False)
print(vc.loc[np.nan])
print(vc[np.nan])
```
```
TypeError: cannot do label indexing on <class 'pandas.core.indexes.base.Index'> with these indexers [nan] of <class 'float'>
```
Hello, n... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32432 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32432/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32432/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32432/events | https://github.com/pandas-dev/pandas/issues/32432 | 575,366,096 | MDU6SXNzdWU1NzUzNjYwOTY= | 32,432 | BUG: pandas.DataFrame.any bool_only parameter not working since v0.24.0 | {
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This is the code that I run to test the DataFrame.any function in different pandas versions
```python
import pandas as pd
pd.__version__
df = pd.DataFrame({"A": [True, False], "B": [1, 2]})
df
df.dtypes
df.any(axis=1)
df.any(axis=1, bool_only=True)
```
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```python
# Your code here
class MemoryLeakDemoDF:
"""
Dummy class to demonstrate memory leaks
"""
def __init__(self, df):
self.df = df
# if "self" is saved in a DataFrame, it causes a memory leak
df.loc[0, 'ob... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32434 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32434/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32434/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32434/events | https://github.com/pandas-dev/pandas/issues/32434 | 575,512,496 | MDU6SXNzdWU1NzU1MTI0OTY= | 32,434 | Rounding issue when using pd.read_excel() followed by pd.to_sql() | {
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"de... | closed | false | null | [] | null | 2 | 2020-03-04T15:39:10Z | 2020-10-21T01:43:03Z | 2020-10-21T01:43:03Z | NONE | null | #### Code Sample, a copy-pastable example if possible
Single column Excel(.xls) file with the following data:
Document Summary
All
Total Sales
1479.9
39002.33
11295.76
```python
import pandas as pd
import sqlalchemy
db_user = "user"
db_pass = "pass"
server = "server_name"
db = "database"
sql_engine... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32435 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32435/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32435/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32435/events | https://github.com/pandas-dev/pandas/issues/32435 | 575,513,036 | MDU6SXNzdWU1NzU1MTMwMzY= | 32,435 | IntegerArray.astype("datetime64[ns]") fails with NAs | {
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```
ser = pd.Series(range(2), dtype="Int64")
arr = ser.array
>>> arr.astype("datetime64[ns]")
array(['1970-01-01T00:00:00.000000000', '1970-01-01T00:00:00.000000001'],
dtype='dateti... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32436 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32436/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32436/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32436/events | https://github.com/pandas-dev/pandas/pull/32436 | 575,561,610 | MDExOlB1bGxSZXF1ZXN0MzgzNjkxMzYw | 32,436 | DOC: correct issue number for PR #32424 | {
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`test_unique_null`, `test_nunique_null` and `test_value_counts_null` should be tested for `pd.NA` and `pd.NaT` as well, ideally using the `nulls_fixture` from `pandas/confte... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32439 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32439/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32439/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32439/events | https://github.com/pandas-dev/pandas/pull/32439 | 575,584,938 | MDExOlB1bGxSZXF1ZXN0MzgzNzExMTg4 | 32,439 | DOC: Fix capitalization of the word pandas in the docs | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
As stated in the referred issue, _pandas_ reference in the docs should be standardised to pandas, not *pandas* or Pandas.
I've only changed the ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32440 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32440/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32440/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32440/events | https://github.com/pandas-dev/pandas/issues/32440 | 575,590,944 | MDU6SXNzdWU1NzU1OTA5NDQ= | 32,440 | CI Failing: Linux py37_locale TestTSPlot.test_matplotlib_scatter_datetime64 | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2020-03-04T17:27:15Z | 2020-10-10T17:40:57Z | 2020-10-10T17:40:56Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> pd.Series(['NaT', '2019-01-01', '2019-01-02'], dtype='datetime64[ns]').diff()
0 NaT
1 NaT
2 1 days
dtype: timedelta64[ns]
>>> pd.Series(['NaT', '2019-01-01', '2019-01-02'], dtype='datetime64[ns]').to_frame().diff()
... | {
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"followers_url": "https://api.github.... | 2 | 2020-03-04T17:29:27Z | 2020-03-04T19:14:42Z | 2020-03-04T19:11:38Z | MEMBER | null | - [ ] closes #32440
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/32443 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32443/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32443/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32443/events | https://github.com/pandas-dev/pandas/issues/32443 | 575,611,437 | MDU6SXNzdWU1NzU2MTE0Mzc= | 32,443 | incosistencies in dataframe.dtype.isin() - I am getting inconsistent with different runs on same code. | {
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```
import numpy as np
import pandas
data = [[2, 'tom', 10], [3, 'nick', 15], [4, 'juli', 14]]
myDf = pandas.DataFrame(data, columns=['a','b','c'])
print (myDf.dtypes)
print((myDf.dtypes.isin(['int64'])))
```
#### Problem description
Proble... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32445 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32445/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32445/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32445/events | https://github.com/pandas-dev/pandas/pull/32445 | 575,685,842 | MDExOlB1bGxSZXF1ZXN0MzgzODAwNjUw | 32,445 | Backport PR #32442 on branch 1.0.x (CI: fix test_matplotlib_scatter_datetime64) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32446 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32446/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32446/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32446/events | https://github.com/pandas-dev/pandas/issues/32446 | 575,704,937 | MDU6SXNzdWU1NzU3MDQ5Mzc= | 32,446 | BLD: Remove snappy from requirements-dev.txt | {
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As raised in issues #32417 and #32327, `snappy` is causing issues while setting up a dev environment `requirements-dev.txt`.
#### Proposed change
I suggest removing `snappy` from `requirements-dev.txt` to allow fewer issues when setting up the environment.
#### Acknowledgements
@W... | {
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] | closed | false | null | [] | null | 1 | 2020-03-04T20:02:28Z | 2020-04-19T01:49:29Z | 2020-04-19T01:49:28Z | NONE | null | Hello there,
I apologize if this a very simple question but what is the best way to store nanoseconds timestamps with `pandas` and `pyarrow`?
Right now it seems that using the `flavor = 'spark'` keeps the nanosecond precision while the other flavors do not.
Is that the right way to see things?
Consider t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32448 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32448/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32448/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32448/events | https://github.com/pandas-dev/pandas/issues/32448 | 575,728,114 | MDU6SXNzdWU1NzU3MjgxMTQ= | 32,448 | Series.convert_dtypes is not idempotent with small strings | {
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```python
s = pd.Series(['x', 'y', 'z'])
print(s.dtype, s.convert_dtypes().dtype, s.convert_dtypes().convert_dtypes().dtype, sep='\n')
```
Output:
```
object
string
|S1
```
#### Problem description
It is reasonably expected that the output of `conv... | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2020-03-04T21:21:24Z | 2020-03-09T19:32:12Z | 2020-03-07T09:40:10Z | CONTRIBUTOR | null | As mentioned by @simonjayhawkins in #32438
Trace of the failing test:
https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=29965&view=logs&j=077026cf-93c0-54aa-45e0-9996ba75f6f7&t=e95cf409-86ae-5b4d-6c5f-79395ef75e8f | {
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```
x = pd.Series(['1', pd.NA, '3'], dtype=pd.StringDtype())
x.astype('Int64')
...
TypeError: data type not understood
```
If I rewrite it as follows, I get a different TypeError:
```
x = pd.S... | {
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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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`/tmp/1.csv:`
```csv
field1,field2
,1577134800018164904
1577134800018226901,1577134800018267738
```
```python
A = pd.read_csv('/tmp/1.csv', dtype='Int64')
A
```
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The docs build should fail if snappy is required to build the docs, and should point out where it's being used. If it's not failed, I think this can be merged and we can remove snappy from the local and docs dependencies.
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Fixing the deprecation warning in the docs (testing if we really need to be compatible with the old syntax) | {
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Also this is removing one warning when compiling ```pandas/_libs/internals.pyx```
This is the warning that is removing:
```
pandas/_libs/internals.c:8952:36: warning: ‘__pyx_t_23’ may be used uninitialized in this functio... | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/32460 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32460/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32460/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32460/events | https://github.com/pandas-dev/pandas/pull/32460 | 576,206,238 | MDExOlB1bGxSZXF1ZXN0Mzg0MjM4MTg2 | 32,460 | Disallow .__call__() as workaround for non-named functions | {
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```python
import pandas as pd
funcs = [lambda: 1]
pd.eval("funcs[0]()")
```
Fails with:
TypeError: Only named functions are supported
however this can easily be worked around by adding `.__call__`:
```python
pd.eval("funcs[0].__call__()")
```
I'm assuming we don't want t... | {
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It seems to me, that DataFrames are not always correctly trunctaed to fit the terminal width (using pandas 1.0.1).
My pandas config is set such, that it auto detects terminal width and the representation of the DataFrame should fit in.
<details>
<summary>Relevant pandas config settings</s... | {
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... | open | false | null | [] | null | 1 | 2020-03-05T14:05:04Z | 2021-07-29T06:30:25Z | null | NONE | null | I have problem with cumsum and multiple columns
```python
>>> df1 = pd.DataFrame({"A": [2, 1, np.nan, 1, 2, 2, 1],"B": [-8, 2, 3, 1, 5, 6, 7],"C": [3, 5, 6, 5, 4, 4, 3]})
>>> df1.groupby("A").cumsum()
B C
0 -8 3
1 2 5
2 -1 6
3 3 10
4 -3 7
5 3 11
6 10 13
>>> df1.groupby("A").cums... | {
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] | closed | false | null | [] | null | 1 | 2020-03-05T14:13:53Z | 2020-10-19T06:44:53Z | 2020-10-19T06:44:53Z | NONE | null | The count with groupby gives the number of entries while nunique gives the number of unique entries. The problem is that we get an additional column
```python
>>> df = pd.DataFrame({"A": [0,0,1,1,0], "B": [1,2,3,4,5]})
>>> df.groupby("A").count()
B
A
0 3
1 2
>>> df.groupby("A").nunique()
A B
A ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32464 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32464/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32464/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32464/events | https://github.com/pandas-dev/pandas/issues/32464 | 576,350,075 | MDU6SXNzdWU1NzYzNTAwNzU= | 32,464 | Grouping by all columns of an empty DataFrame should produce MultiIndex, but doesn't | {
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This comes up in [cuDF](https://github.com/rapidsai/cudf) in our tests that check for compatibility with Pandas:
```
In [21]: a = pd.DataFrame({'a': [], 'b': [], 'c': []})
In [22]: a.groupby(['a', 'b']).sum().index
Out[22]: MultiIndex([], names=['a', 'b'])
In [23]: a.groupby(['a', 'b', 'c']).su... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32465 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32465/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32465/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32465/events | https://github.com/pandas-dev/pandas/pull/32465 | 576,364,658 | MDExOlB1bGxSZXF1ZXN0Mzg0MzY1NDU2 | 32,465 | TST: Fixed xfail for tests in pandas/tests/tseries/offsets/test_offsets_properties.py | {
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] | closed | false | null | [] | null | 6 | 2020-03-05T16:08:18Z | 2021-05-03T12:29:04Z | 2020-06-14T17:27:09Z | MEMBER | null | - [x] ref https://github.com/pandas-dev/pandas/pull/32459#issuecomment-595277125
- [ ] 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/32466 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32466/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32466/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32466/events | https://github.com/pandas-dev/pandas/issues/32466 | 576,380,396 | MDU6SXNzdWU1NzYzODAzOTY= | 32,466 | Should Whitespaces be placed at the begging of a line | {
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] | closed | false | null | [] | null | 0 | 2020-03-05T16:31:41Z | 2020-04-28T14:48:42Z | 2020-04-28T14:48:42Z | MEMBER | null | As of our current [code style guide](https://dev.pandas.io/docs/development/code_style.html) we are placing whitespaces at the begging of the lines, [Black](https://github.com/psf/black) had a discussion at https://github.com/psf/black/issues/182 (https://github.com/psf/black/pull/1132#issuecomment-594062628 sums all o... | {
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cc @jorisvandenbossche @TomAugspurger need to confirm
a) this is an intended-adjacent use of _values_for_argsort, and not just a coincide... | {
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```python
In [1]: import pandas as pd
In [2]: df = pd.DataFrame({"A": ["foo"] * 3 + ["b... | {
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See eg https://pandas.io/docs/getting_started/intro_tutorials/03_subset_data.html : the question marks are not visible.
And there is also some strange green around the code block in the b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32470 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32470/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32470/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32470/events | https://github.com/pandas-dev/pandas/issues/32470 | 576,530,719 | MDU6SXNzdWU1NzY1MzA3MTk= | 32,470 | Mishandling exception when trying to access inexistent files at private S3 bucket using several pandas.read_ methods | {
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When trying to access a non-existing file on a private S3 bucket, using appropriated credentials, pandas will throw a ConnectionTimeoutError instead of a FileNotFoundError.
I tested the following read_ methods and got same behavior in all: **read_csv, read_excel, read_fwf, read_json, read_... | {
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```python
df=pd.DataFrame([[0,0],[1,100],[0,100],[2,0],[3,100],[4,100],[4,100],[4,100],[1,100],[3,100]],columns=['key','score'])
df.groupby('key')['score'].value_counts(bins=[0,20,40,60,80,100])
```
#### Problem description
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Date: Feb 05, 2020 Version: 1.0.1
Download documentation: PDF Version
Why this PDF Version have no contents>
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```python
import pandas as pd
data = [{"person_id": "test",
"test_field": 1,
"access": [{"step": 1,
"phase":"starting"},
{"step":2,
"phase":"ending"}
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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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# Code
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
df = pd.DataFrame({'category': ['A', 'B', 'C'],
'value': [-1432.32, 10.43, 30000.00],
'db-id': [1234, 2424, 251]
})
df.category.value_counts().plot.bar(color = plt.... | {
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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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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Boolean indexing is already thoroughly tested in `test_series_mask_boolean` in `tests/indexes/test_na_indexing.py` - [see here](https://github.com/pandas-dev/pandas/blob/maste... | {
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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 pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))
df.to_csv("s3://super_dumb_s3_bucket/not_real.csv")
```
#### Problem description
If you provide an invalid s3 path (e.g. a ... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
duplicated and drop_duplicates are already thoroughly tested in `tests/indexes` and `tests/series`. I added comments to highlight the redundancy and extended the existing test... | {
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I use:
- Mac OS version 10.15.1
- I used brew cask install anaconda to install anaco... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32489 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32489/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32489/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32489/events | https://github.com/pandas-dev/pandas/pull/32489 | 576,879,230 | MDExOlB1bGxSZXF1ZXN0Mzg0Nzc4Njc1 | 32,489 | CLN: trying isort-dev | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
---
Trying ```isort``` 5.0.0 which is still under development. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32490 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32490/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32490/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32490/events | https://github.com/pandas-dev/pandas/pull/32490 | 576,904,052 | MDExOlB1bGxSZXF1ZXN0Mzg0Nzk4NDE1 | 32,490 | BUG: Fix bug, where BooleanDtype columns are converted to Int64 | {
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"color": "8cc... | closed | false | null | [] | {
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"followers_url": "https://api.github.... | 12 | 2020-03-06T12:34:41Z | 2020-03-26T14:28:41Z | 2020-03-11T01:48:35Z | CONTRIBUTOR | null | - [x] closes #32287
- [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/32491 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32491/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32491/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32491/events | https://github.com/pandas-dev/pandas/issues/32491 | 576,906,123 | MDU6SXNzdWU1NzY5MDYxMjM= | 32,491 | DOC indexing: Google search for 'pandas greater than' returns `pandas.DataFrame.ge` as #1, and `pandas.DataFrame.gt`/`pandas.Series.gt` aren't even found | {
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(I'm aware that Google SEO is not under pandas' control. However this one's quite important, and nowhere in the pandas doc does it actually tell us where/how to report SEO fails, if at all. So please tell us how and where to report things like this. Are all pandas doc pages automatically sub... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32492 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32492/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32492/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32492/events | https://github.com/pandas-dev/pandas/issues/32492 | 576,911,771 | MDU6SXNzdWU1NzY5MTE3NzE= | 32,492 | dataframe.groupby incorrect with multiindex and None value | {
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... | null | 2 | 2020-03-06T12:51:08Z | 2021-07-29T06:35:22Z | null | NONE | null | #### Minimally reproducible example
```python
# pandas==0.24.2
df = pd.DataFrame(data={
'A': ['a1','a2',None],
'B': ['b1','b2','b1'],
'val': [1,2,3],
})
print(df)
print('\n')
grps = df.groupby(['A', 'B'])
print(grps.get_group(('a2','b1')))
```
#### Problem description
Selecting a group... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32493 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32493/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32493/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32493/events | https://github.com/pandas-dev/pandas/issues/32493 | 576,927,563 | MDU6SXNzdWU1NzY5Mjc1NjM= | 32,493 | to_numeric fails with empty data and downcast="unsigned" | {
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```python
pd.to_numeric([], downcast="unsigned")
```
#### Problem description
The code currently calls `np.min()` on the data which fails when the data is empty. This does not happen for any other downcast.
```
Traceback (most recent call last):
File... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32494 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32494/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32494/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32494/events | https://github.com/pandas-dev/pandas/issues/32494 | 576,967,058 | MDU6SXNzdWU1NzY5NjcwNTg= | 32,494 | Dataframe.groupby aggregations with categorical columns lead to incorrect results. | {
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```python
# In[2]:
import pandas as pd
def create_df():
df = pd.DataFrame(
{
'major_id': [1, 2, 1, 2, 2],
'minor_id': ['a', 'b', 'c', 'd', 'e'],
'values': [1, 2, 3, 4, 5]
}
)
return df
def groupby(df):
df['max_val... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32495 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32495/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32495/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32495/events | https://github.com/pandas-dev/pandas/issues/32495 | 576,999,663 | MDU6SXNzdWU1NzY5OTk2NjM= | 32,495 | read_csv option 'skipfooter' crashes with lines starting with " | {
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```python
import pandas as pd
# Generate the test-file
data_file = 'test.txt'
txt = """yyyy
1991
2002
"a
"""
with open(data_file, 'w') as fh:
fh.write(txt)
# Parsing working with:
df_ok = pd.read_csv(data_file, nrows=2)
print(df_ok)
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Is this the desired behaviour? Maybe I am missing something but when we pass dtype to read_csv, the dtype is not used anywhere. Passing it to the dataframe when creating it seems like a good place for that. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32497 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32497/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32497/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32497/events | https://github.com/pandas-dev/pandas/issues/32497 | 577,032,823 | MDU6SXNzdWU1NzcwMzI4MjM= | 32,497 | [Regression] DataFrame.replace throws TypeError when to_replace is list and DF has categorical | {
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```python
df = pd.DataFrame({
'x': pd.Series([-np.inf, np.inf]),
'y': pd.Series(["a", "b"], dtype="category")
})
df.replace([-np.inf, np.inf], np.nan)
```
results in
```
...
~/anaconda/envs/grapy/lib/python3.7/site-packages/pandas/core/indexes/base.py in __contains__(self, key)
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```
pytest -q --cache-clear pandas/tests/frame/test_analytics.py
```
Yield the following error:
<details>
```
___________________________ TestDataFrameAnalytics.test_mean_mixed_string_decimal ____________________________
TypeError: unsupported operand type(s) for +: 'int' and 'str'
The above... | {
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"followers_url": "https://api.github.... | 3 | 2020-03-06T17:10:53Z | 2020-03-12T12:22:19Z | 2020-03-11T01:45:54Z | CONTRIBUTOR | null | Closes #31774
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https://api.github.com/repos/pandas-dev/pandas/issues/32500 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32500/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32500/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32500/events | https://github.com/pandas-dev/pandas/issues/32500 | 577,074,681 | MDU6SXNzdWU1NzcwNzQ2ODE= | 32,500 | [Regression] to_json doesn't export Int64 dtype correctly | {
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In 1.0.1:
```python
pd.Series([0,1,None,3], dtype="Int64").to_json()
>> '{"0":0,"1":1,"2":{},"3":3}'
```
#### Problem description
Not sure if that's the desired result, notice the object instead of null value.
#### Expected Output
0.25.3 used to produce this:
```python
pd.Seri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32502 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32502/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32502/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32502/events | https://github.com/pandas-dev/pandas/issues/32502 | 577,139,626 | MDU6SXNzdWU1NzcxMzk2MjY= | 32,502 | DOC: `ref` issues in the contributing.rst file | {
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Anytime I click on an internal reference link on the [Contributing.rst](https://github.com/pandas-dev/pandas/blob/master/doc/source/development/contributing.rst) file, I expect to be directed somewhere in the internal documentation that explains something about the internal link.
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```python
seed : {None, int, array_like, BitGenerator}, optional
Random seed used to initialize the pseudo-random number generator or
an instantized BitGenerator. If an integer or array, used as a seed for
the MT19937 BitGenerator... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32506 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32506/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32506/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32506/events | https://github.com/pandas-dev/pandas/pull/32506 | 577,203,100 | MDExOlB1bGxSZXF1ZXN0Mzg1MDQ0MjUy | 32,506 | (wip) BUG: groupby with sort=False create buggy multiindex | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Still messy, just running this through the test suite as my laptop's not great (but please let me know if such behaviour is unwelcome and I won't d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32507 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32507/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32507/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32507/events | https://github.com/pandas-dev/pandas/pull/32507 | 577,228,571 | MDExOlB1bGxSZXF1ZXN0Mzg1MDY0OTQ2 | 32,507 | CLN: Avoid bare pytest.raises in computation/test_eval.py | {
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* [x] tests added / passed
* [x] passes `black pandas`
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Addresses: GH32503
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downcast=unsigned/float/integer
Addresses: GH32493
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```python
import pandas as pd
df = pd.DataFrame(
{'name': ['alice', 'bob'],
'age': [30, 28]})
df.to_dict(orient='racoon')
```
returns:
```python
[{'age': 30, 'name': 'alice'}, {'age': 28, 'name': 'bob'}]
```
instead of `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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