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... | null | 10 | 2020-02-28T00:54:20Z | 2020-10-04T20:13:32Z | 2020-10-04T20:13:32Z | MEMBER | null | In our documentation (files in `doc/source/../*.rst`), we refer to pandas as `Pandas`, `pandas`, and `*pandas*` (sphinx italics).
For documentation consistency, we should standardize these to one form. `pandas` is the preferable form in our documentation files.
Unfortunately I don't think we create a lint rule fo... | {
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... | open | false | null | [] | null | 0 | 2020-02-28T02:20:44Z | 2021-07-29T04:48:13Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: df = pd.DataFrame({
...: 'A': [1, 1, 2, 2, 3, 3],
...: 'B': [4, 5, 6, 7, 8, 9]
...: })
In [3]: df
Out[3]:
A B
0 1 4
1 1 5
2 2 6
3 2 7
4 3 8
5 3 9
In [4]: df.groupby('A').agg(maximum=('B', 'max')... | {
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- [x] closes #31251
- [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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```
first_concurrent_all_table = pd.read_html(requests.get(url).text)
first_concurrent_first_table = first_concurrent_all_table[0]
print(first_concurrent_first_table)
```
The error is the following :
irst_concurrent_all_table = pd.read_html(requests.get(url).text)
File "/usr/local/lib/python3.7/dist-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32325 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32325/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32325/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32325/events | https://github.com/pandas-dev/pandas/issues/32325 | 572,651,316 | MDU6SXNzdWU1NzI2NTEzMTY= | 32,325 | ENH: Syntactic sugar for DatetimeIndex datetime slicing | {
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"description": "Related ... | closed | false | null | [] | null | 2 | 2020-02-28T10:03:06Z | 2020-09-18T17:09:57Z | 2020-09-18T17:09:56Z | NONE | null | ```python
import pandas as pd
from datetime import datetime
index = pd.date_range(start=datetime(2019, 1, 1), end=datetime(2020, 1, 1), freq='D')
ts = pd.Series(index=index, dtype=float)
start_date = datetime(2019, 6, 1)
index_from_ts_slice = ts[start_date:].index
# this errors:
try:
index_from_index_slice... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32326 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32326/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32326/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32326/events | https://github.com/pandas-dev/pandas/issues/32326 | 572,674,697 | MDU6SXNzdWU1NzI2NzQ2OTc= | 32,326 | Unexpected behaviour of df.to_json(compression="gzip") | {
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"description": "read_json, to_json, json... | open | false | null | [] | null | 1 | 2020-02-28T10:44:27Z | 2020-05-08T21:26:01Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
df = pd.DataFrame({"a": [1, 2, 3, 4], "b": ["A", "B", "C", "D"],})
json_df = df.to_json(lines=True, orient="records", compression="gzip")
print(json_df)
```
#### Problem description
The behavior of the "compression" argument is unexpected. It doesn't have any... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32327 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32327/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32327/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32327/events | https://github.com/pandas-dev/pandas/issues/32327 | 572,693,036 | MDU6SXNzdWU1NzI2OTMwMzY= | 32,327 | local test failure - pandas/tests/io/test_parquet.py::TestBasic::test_compression[fastparquet-snappy] | {
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"d... | open | false | null | [] | null | 3 | 2020-02-28T11:19:12Z | 2020-04-19T19:30:36Z | null | MEMBER | null | ```
$ conda list snappy
# packages in environment at C:\Users\simon\Anaconda3\envs\pandas-dev:
#
# Name Version Build Channel
python-snappy 0.5.4 py37hd25c944_1 conda-forge
snappy 1.1.8 he025d50_1 conda-forge
```... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32328 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32328/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32328/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32328/events | https://github.com/pandas-dev/pandas/pull/32328 | 572,696,158 | MDExOlB1bGxSZXF1ZXN0MzgxMzQxMjM4 | 32,328 | CLN: Removed unused variables defenition | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32329 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32329/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32329/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32329/events | https://github.com/pandas-dev/pandas/pull/32329 | 572,726,320 | MDExOlB1bGxSZXF1ZXN0MzgxMzY2MDQw | 32,329 | CLN: _libs.interval looping with cdef index | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-02-28T12:28:47Z | 2020-02-29T10:25:01Z | 2020-02-28T16:41:26Z | MEMBER | null | - [ ] closes #xxxx
- [ ] 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/32330 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32330/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32330/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32330/events | https://github.com/pandas-dev/pandas/issues/32330 | 572,730,282 | MDU6SXNzdWU1NzI3MzAyODI= | 32,330 | How to tell if Accessor is Registered | {
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"description": "Extendin... | open | false | null | [] | null | 2 | 2020-02-28T12:37:24Z | 2021-07-29T06:12:23Z | null | NONE | null | I have a simple question:
How do you know if your accessor namespace has already been registered with the extension framework?
Let's say I do:
```python
import pandas as pd
import coolaccessor # registers dataframe accessor/namespace
```
Now later on in the code, a person does:
```python
def cool_f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32331 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32331/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32331/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32331/events | https://github.com/pandas-dev/pandas/issues/32331 | 572,766,056 | MDU6SXNzdWU1NzI3NjYwNTY= | 32,331 | Local test failure plotting.test_datetimelike.test_ts_plot_with_tz | {
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```
(venv-pandas) $ pytest pandas/tests/plotting/test_datetimelike.py -k "test_ts_plot_with_tz"
```
I got a test failure.
Test log:
<details>
```
================================================== FAILURES ==================================================
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https://api.github.com/repos/pandas-dev/pandas/issues/32332 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32332/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32332/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32332/events | https://github.com/pandas-dev/pandas/pull/32332 | 572,770,278 | MDExOlB1bGxSZXF1ZXN0MzgxNDAyNTQ3 | 32,332 | BUG: Rolling groupby should not maintain the by column in the resulting DataFrame | {
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"description": "rolling, ewma, ... | closed | false | null | [] | null | 5 | 2020-02-28T13:55:34Z | 2020-10-10T14:14:53Z | 2020-03-22T21:08:34Z | MEMBER | null | - [x] closes #32262
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Does this seem like the correct idea? If so, I'll expand on tests / write whatsnew / think about a cleaner patch
EDIT
----
lots of unwanted cha... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32333 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32333/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32333/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32333/events | https://github.com/pandas-dev/pandas/pull/32333 | 572,795,693 | MDExOlB1bGxSZXF1ZXN0MzgxNDIzNTMz | 32,333 | DOC: Fixed reference to `convert_dtypes` in `to_numeric` (#32295) | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-02-28T14:37:28Z | 2020-03-02T10:20:40Z | 2020-02-29T03:07:24Z | CONTRIBUTOR | null | - closes #32295
- just changed the reference from convert_dtypes to DataFrame.convert_dtypes
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https://api.github.com/repos/pandas-dev/pandas/issues/32334 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32334/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32334/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32334/events | https://github.com/pandas-dev/pandas/issues/32334 | 572,834,925 | MDU6SXNzdWU1NzI4MzQ5MjU= | 32,334 | DataFrame.sort_index() with ascending passed as a list on a single level index gives wrong result | {
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```
data = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]), columns=['a', 'b', 'c'])
data = data.set_index('a')
data.sort_index(level=['a'], ascending=[False])
```
Then I want to sort index "a" in descending order,
```
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```
def all_match(left, right) -> bool:
if left.dtype.kind != "i":
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xref #31869, arguable whether or not this closes that. | {
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```
pd.Series([0, 1], dtype='int64').cumsum()
0 0
1 1
dtype: int64
pd.Series([0, 1], dtype='Int64').cumsum()
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
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The main motivation for this PR is to get block management out of the JSON serializer, but it could potentially be extended beyond that for external uses
The gist of this is that we can hold a struct `PdOrder... | {
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... | open | false | null | [] | null | 0 | 2020-02-29T01:09:22Z | 2021-07-29T06:15:06Z | null | CONTRIBUTOR | null | Came across this inconsistency whilst trying to write a test for `tshift` in #32069
```
>>> import pandas as pd
>>> df = pd.DataFrame({'A':[121, 121, 121, 121, 231, 231, 676], 'B':[1.0, 2.0, 2.0, 3.0, 3.0, 3.0, 4.0], "C": pd.date_range("2013-11-03", periods=7)})
>>> df
A B C
0 121 1.0 2013... | {
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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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```
In [10]: s = pd.Series([1, 2, 3], dtype="Int64")
In [11]: s[3] = 4
In [12]: s
Out[12]:
0 1
1 2
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```
$ python3 -m pip install --user -r requirements.txt | grep -i pandas | grep -vi 'Installing collected packages'
below cmd output started 2020 Sat Feb 29 03:20:45 AM UTC
Collecting pandas==0.23.4 (from -r requirements.txt (line 43))
Using cached https://... | {
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cc @toobaz I know you're on board for getting index/axis stuff out of BlockManager. | {
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pandas.merge_asof
Validated the fixes with python scripts/validate_docstrings.py
Refrencing issue: #29254
Fix : pandanistas/pandanistas_sprint_ui2020#11 | {
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Fix : https://github.com/pandanistas/pandanistas_sprint_ui2020/issues/8
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added docstrings information about arg descriptions, downcast type 'int', and Return type
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Output of ```python scripts/validate_docstrings.py pandas.DatetimeIndex```
```
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Output of `python scripts/validate_docstrings.py pandas.DataFrame.asfreq`:
```
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This is getting rid of this warning:
```
pandas/_libs/parsers.c: In function ‘__pyx_f_6pandas_5_libs_7parsers_10TextReader__get_header’:
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When I make a data frame with pandas that has columns with different length and type, I cannot re-assign an element inside it using loc. I can explain it better with an example:
```python
import pandas as pd
import numpy as np
df = pd.DataFrame({'a': [np.array([1,2,3]), np.array([4,5,6]), np.arra... | {
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```python
first_concurrent = requests.get(url, proxies=proxies, headers=headers)
first_concurrent_text = first_concurrent.text
first_concurrent_all_table = pd.read_html(first_concurrent_text)
first_concurrent_first_table = first_concurrent_all_table[0]
```
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https://api.github.com/repos/pandas-dev/pandas/issues/32380 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32380/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32380/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32380/events | https://github.com/pandas-dev/pandas/issues/32380 | 573,417,037 | MDU6SXNzdWU1NzM0MTcwMzc= | 32,380 | Deprecate groupby() squeeze option | {
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```python
import pandas as pd
print(pd.DataFrame([{
'A': 1,
'B': 1,
}, {
'A': 2,
'B': 2,
}, {
'A': 2,
'B': 3,
}]).groupby('A', squeeze=True).count())
```
#### Problem description
I expected `.groupby(squeeze=True)` to, well, squeeze, and `count()` to return ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32381 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32381/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32381/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32381/events | https://github.com/pandas-dev/pandas/issues/32381 | 573,429,501 | MDU6SXNzdWU1NzM0Mjk1MDE= | 32,381 | Inconsistent behavior for 2D Groupby with Categorical MultiIndex raises TypeError with observed=False | {
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] | closed | false | null | [] | null | 3 | 2020-02-29T23:21:46Z | 2020-03-11T14:06:00Z | 2020-03-11T14:05:59Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
x = np.random.normal(size=1000)
y = np.random.normal(size=1000)
z = pd.Series(np.full_like(x, 1))
xc = pd.cut(x, 10)
yc = pd.cut(y, 10)
cut = pd.DataFrame({"x": xc, "y": yc})
mi = pd.MultiIndex.from_frame(cut)
z.index = mi
```
#### Problem... | {
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json_file = 'sample_data'
list(pd.read_json(json_file, lines=True))
```
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-11-ee639448d145> in <module>
1 import pandas as ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32383 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32383/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32383/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32383/events | https://github.com/pandas-dev/pandas/issues/32383 | 573,523,736 | MDU6SXNzdWU1NzM1MjM3MzY= | 32,383 | pd.read_json() leads to a segmentation fault | {
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The following code leads to either a segmentation fault or a bus error:
```python
def load_dataframe(name):
...
df_json = db.dataframes.find_one({"_id": name})["df"]
df = pd.read_json(df_json)
return df
```
But the following workaround fixes it:
```python
def load_datafra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32384 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32384/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32384/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32384/events | https://github.com/pandas-dev/pandas/issues/32384 | 573,547,595 | MDU6SXNzdWU1NzM1NDc1OTU= | 32,384 | `DataFrame.groupby.apply` keeps group-by column in values | {
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```python
>>> import pandas as pd
>>> df = pd.DataFrame({'d': [1.0, 1.0, 1.0, 2.0, 2.0, 2.0], 'v': [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]})
>>> df.groupby('d').sum()
v
d ... | {
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"default": false,
"description": "rolling, ewma, expanding... | closed | false | null | [] | {
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"followers_url": "https://api.github.... | 1 | 2020-03-01T15:48:28Z | 2020-03-11T01:51:04Z | 2020-03-11T01:51:04Z | CONTRIBUTOR | null | #### Code Sample
```python
def test_rolling_on_decreasing_index(self):
# GH-19248
index = [
Timestamp("20190101 09:00:00"),
Timestamp("20190101 09:00:02"),
Timestamp("20190101 09:00:03"),
Timestamp("20190101 09:00:05"),
Timestamp... | {
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"followers_url": "https://api.github.... | 6 | 2020-03-01T15:52:32Z | 2020-03-11T01:54:20Z | 2020-03-11T01:51:04Z | CONTRIBUTOR | null | - [x] Closes https://github.com/pandas-dev/pandas/issues/32385
- [x] tests updated & passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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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/32388 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32388/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32388/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32388/events | https://github.com/pandas-dev/pandas/pull/32388 | 573,601,277 | MDExOlB1bGxSZXF1ZXN0MzgyMDg0Mjg3 | 32,388 | Create CITATION.md | {
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] | closed | false | null | [] | null | 7 | 2020-03-01T19:29:10Z | 2020-03-31T17:39:44Z | 2020-03-31T17:39:44Z | CONTRIBUTOR | null | Addresses #24036 by adding a `CITATION.md` file to the repository.
I copied the citation instructions from here: https://pandas.io/about/citing.html
and added a section for the published software on Zenodo. Following [this recommendation](https://github.com/sherpa/sherpa/pull/634#issuecomment-553668211), I did this... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32389 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32389/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32389/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32389/events | https://github.com/pandas-dev/pandas/pull/32389 | 573,769,857 | MDExOlB1bGxSZXF1ZXN0MzgyMjE3MzIy | 32,389 | DOC: Reorganize Getting Started documentation pages | {
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Issue Related:
- `getting_started/index.html` removes `10 minutes to pandas`, `Essential basic functionality` and `Intro to data structures` from the toctree and moves them as links in `user_guide/index.html`
- `getting_started/tutorials.html` now only references community tutorials
- the pan... | {
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compared to the legacy pandas 0.2x.x, the most recent 1.0.1 version doesnt perform well in HDF5 file loading unless the conditioned column was sorted beforehand
```python
import os
import numpy as np
import pandas as pd
row = 6000
col = 2
start_date = '20000101'
freq = 'B'
ind = pd.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32391 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32391/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32391/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32391/events | https://github.com/pandas-dev/pandas/issues/32391 | 573,832,411 | MDU6SXNzdWU1NzM4MzI0MTE= | 32,391 | > Not sure this is even supported by gcsfs - I don't see `encoding` as an available option there: | {
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>
> https://github.com/dask/gcsfs/blob/523eb65b3e7feb05f9c10ce84523d1058716fecf/gcsfs/core.py#L1133
>
> Might need to start upstream if wanted to make this possible
Hi, @WillAyd
In the current gcsf master `GCSFi... | {
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```python
dataframe = pd.read_csv('gs://mybucket/my_file', encoding = 'cp1251')
```
#### Problem description
Reading csv files which have encoding other than utf-8, like cp1251, from the Google Cloud Storage fails with error:
> UnicodeDecodeError: ... | {
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When trying to coerce strings to numeric values using `to_numeric()`, the occurrence of the substring "uint64" (but not any other dtype-like substring it seems) leads to silent failure to coerce.
```python
strs = ["32", "64", "uint32", "float64", "sdnfonsdf uint32 knsdf", "sdnfonsdf uint64... | {
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```python
# Your code here
import datetime, pandas as pd
data = [[datetime.datetime(2020, 2, 28, 13, 51, 27, tzinfo=datetime.timezone.utc)],
[datetime.datetime(2020, 2, 28, 13, 51, 27, tzinfo=datetime.timezone.utc)],
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- Passed pandas.tests.plotting.test_misc.py
- Now creating new axes with "fig, ax = plt.subplots(1, 1, figsize=figsize)"
- Also changed plotting.lag_plot regarding the same issue
- Figure size is only changed if no axis parameter is given
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In [1]: pd.__version__
Out[1]: '1.1.0.dev0+570.g9a02c3503
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https://pandas.pydata.org/docs/reference/api/pandas.Index.isin.html
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https://api.github.com/repos/pandas-dev/pandas/issues/32406 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32406/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32406/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32406/events | https://github.com/pandas-dev/pandas/pull/32406 | 574,401,256 | MDExOlB1bGxSZXF1ZXN0MzgyNzMxNzIz | 32,406 | CLN: remove is_period_arraylike, is_datetime_arraylike | {
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"description": "read_csv... | open | false | null | [] | null | 1 | 2020-03-03T10:24:11Z | 2021-07-29T06:17:04Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
path = 'dataset.gz'
df = pd.read_csv(path, sep = ';', compression = 'gzip')
print(sys.getsizeof(df ) / 1024 / 1024, " Mb")
```
#### Code Output (Problem)
```
---------------------------------------------------------------------------
MemoryError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32408 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32408/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32408/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32408/events | https://github.com/pandas-dev/pandas/pull/32408 | 574,604,501 | MDExOlB1bGxSZXF1ZXN0MzgyODk4NDYz | 32,408 | Properly handle missing attributes in query/eval strings | {
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"followers_url": "https://api.github.com/users/j... | 9 | 2020-03-03T11:33:08Z | 2020-04-10T19:31:01Z | 2020-04-10T19:30:56Z | CONTRIBUTOR | null | Consider this script:
```python
import pandas as pd
pd.eval("pd.thing")
```
Currently it raises an error like this:
```
File "/home/alex/work/pandas/pandas/core/computation/expr.py", line 640, in visit_Attribute
raise ValueError(f"Invalid Attribute context {ctx.__name__}")
AttributeError: 'Load' ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32409 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32409/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32409/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32409/events | https://github.com/pandas-dev/pandas/issues/32409 | 574,639,058 | MDU6SXNzdWU1NzQ2MzkwNTg= | 32,409 | pandas1.0.1 has trouble with certain column names | {
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```python
df = pd.read_json(file_path,lines=True)
TypeError: unhashable type: ‘dict’ . `
```
#### Problem description
Pandas1.0.1 with python3.7 hits the above for json containing dicts containing the key "last_status_change_at" and possibly others,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32410 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32410/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32410/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32410/events | https://github.com/pandas-dev/pandas/pull/32410 | 574,671,399 | MDExOlB1bGxSZXF1ZXN0MzgyOTUzNTg3 | 32,410 | BUG: fixes plotting with nullable integers (#32073) | {
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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/32411 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32411/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32411/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32411/events | https://github.com/pandas-dev/pandas/issues/32411 | 574,741,020 | MDU6SXNzdWU1NzQ3NDEwMjA= | 32,411 | Implement Index.__array_ufunc__ | {
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... | 3 | 2020-03-03T15:17:58Z | 2020-09-17T19:39:55Z | null | CONTRIBUTOR | null | It'd be similar to `Series.__array_ufunc__`, (extract array, apply ufunc, box in index with name) with the exception that
1. No alignment when operating between multiple indexes
2. We'd need to decide whether Index or Series defers when calling ufuncs on inputs of mixed index and series. Check what binops does. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32412 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32412/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32412/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32412/events | https://github.com/pandas-dev/pandas/issues/32412 | 574,784,351 | MDU6SXNzdWU1NzQ3ODQzNTE= | 32,412 | DEPR: _ndarray_values vs to_numpy vs __array__ | {
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```python
import pandas as pd
import numpy as np
frame = pd.DataFrame(index=pd.Index([1, np.nan]))
fixed_index = frame.index.where(frame.index.notna(), 'a' + frame.reset_index().index.astype(str))
Traceback (most recent call last):
File "<input>", line 4, in <module>
File "C:\Users\Miniconda3\en... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32414 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32414/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32414/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32414/events | https://github.com/pandas-dev/pandas/issues/32414 | 574,797,179 | MDU6SXNzdWU1NzQ3OTcxNzk= | 32,414 | EA: fillna should accept same type | {
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"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Missing-data"
},
{
"color": "e11d21"... | open | false | null | [] | {
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"created_at": "2021-06-09T18:28:42Z",
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"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/jreback/followers",... | 10 | 2020-03-03T16:41:33Z | 2021-08-21T01:09:48Z | null | MEMBER | null | ```
cat = pd.Categorical(["A", "B", None, "A"])
ser = pd.Series(cat).fillna("B")
>>> filled = cat.fillna(ser) # <-- works
>>> cat.fillna(filled)
TypeError: 'value' parameter must be a scalar, dict or Series, but you passed a Categorical
```
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https://api.github.com/repos/pandas-dev/pandas/issues/32415 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32415/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32415/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32415/events | https://github.com/pandas-dev/pandas/issues/32415 | 574,828,726 | MDU6SXNzdWU1NzQ4Mjg3MjY= | 32,415 | RLS: 1.0.2 | {
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"followers_url": "https://api.github.... | 12 | 2020-03-03T17:34:08Z | 2020-05-26T12:39:17Z | 2020-03-15T20:51:03Z | MEMBER | null | @pandas-dev/pandas-core think end of this week? | {
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