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https://api.github.com/repos/pandas-dev/pandas/issues/34317 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34317/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34317/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34317/events | https://github.com/pandas-dev/pandas/pull/34317 | 623,292,601 | MDExOlB1bGxSZXF1ZXN0NDIxOTg4NTkw | 34,317 | BUG: GH29461 strftime() with nanoseconds for Timestamp | {
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"description": "__repr__ ... | closed | false | null | [] | null | 5 | 2020-05-22T15:32:58Z | 2020-06-09T14:41:34Z | 2020-06-09T14:41:34Z | CONTRIBUTOR | null | - [x] closes #29461
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
The new method displays %f to the full precision, including trailing zeroes. I could add a check that only displays nanoseconds if they are non-zer... | {
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```python
print(pd.Series(
[None],
pd.MultiIndex.from_arrays([['Level1'], ['Level2']]))
.loc[('Level1', 'Level2')])
```
#### Expected output
```
None
```
#### Actual output
```
/usr/local/lib/python3.6/dist-packages/pandas/core/indexing.py in __getitem__(self, ... | {
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... | closed | false | null | [] | null | 1 | 2020-05-22T17:35:32Z | 2020-05-23T21:31:20Z | 2020-05-23T21:31:20Z | NONE | null | - [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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No
#### Describe the solution you'd like
`pd.Interval(x, y, name="Feature")`
#### API breaking implications
Not that I know of.
#### Describe alternatives you've considered
Tried `setattr`
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Likely related to: https://github.com/pandas-dev/pandas/pull/32510.
Seems doc builds have started using:
numpy 1.17.5 py38h95a1406_0 conda-forge
https://github.com/pandas-dev/pandas/pull/34317/checks?check_run_id=700337761
(Previous pipelines where using ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34326 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34326/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34326/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34326/events | https://github.com/pandas-dev/pandas/issues/34326 | 623,537,274 | MDU6SXNzdWU2MjM1MzcyNzQ= | 34,326 | ENH: pd.DataFrame.plot.hist() does not use sharex argument | {
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... | open | false | null | [] | null | 1 | 2020-05-23T00:54:40Z | 2020-05-28T11:27:14Z | null | CONTRIBUTOR | null |
The command
df.plot.hist(subplots=True, layout=(4, 4), figsize=(15,10), sharex=False, sharey=False)
produces a grid of histograms. Unfortunately, sharex and y arguments are not taken into account and the plots all share the same axis. This only makes sense if all columns have the similar scales. But in gen... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34327 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34327/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34327/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34327/events | https://github.com/pandas-dev/pandas/issues/34327 | 623,539,263 | MDU6SXNzdWU2MjM1MzkyNjM= | 34,327 | ENH: Add hue functionality to df.hist() | {
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... | open | false | null | [] | null | 1 | 2020-05-23T01:05:39Z | 2020-05-26T02:59:03Z | null | CONTRIBUTOR | null | The following command:
df.hist(layout=(4, 4), figsize=(15,10), bins=30)
produces a grid of histograms. I would like to group the data by a column value and plot the corresponding histograms in the same plot with different colors. Unfortunately, the `by=` argument generates subplots. And plots all the data reg... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34328 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34328/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34328/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34328/events | https://github.com/pandas-dev/pandas/issues/34328 | 623,541,655 | MDU6SXNzdWU2MjM1NDE2NTU= | 34,328 | ENH: Don't omit columns with categorical data in df.hist() | {
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... | open | false | null | [] | null | 3 | 2020-05-23T01:19:42Z | 2021-06-23T14:42:21Z | null | CONTRIBUTOR | null | For some strange reason `df.hist` can plot categorical features where features are given as string values.
df.cat.hist()
If the dataframe in column "cat" contains string type values the histogram is generated correctly.
But when called like this `df.hist()` the corresponding plot is left out. Along th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34329 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34329/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34329/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34329/events | https://github.com/pandas-dev/pandas/pull/34329 | 623,541,847 | MDExOlB1bGxSZXF1ZXN0NDIyMTg5MDQ5 | 34,329 | Fix MultiIndex melt when col_level is used | {
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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/34330 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34330/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34330/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34330/events | https://github.com/pandas-dev/pandas/pull/34330 | 623,545,862 | MDExOlB1bGxSZXF1ZXN0NDIyMTkyMTU4 | 34,330 | BUG: Fix using dtype with parse_dates in read_csv | {
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... | closed | false | null | [] | null | 7 | 2020-05-23T01:45:15Z | 2020-12-29T20:42:50Z | 2020-12-29T20:42:50Z | CONTRIBUTOR | null | - [x] closes #34066
- [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/34331 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34331/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34331/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34331/events | https://github.com/pandas-dev/pandas/issues/34331 | 623,590,210 | MDU6SXNzdWU2MjM1OTAyMTA= | 34,331 | BUG: writing dataframe to excel if one of the rows has name "render" fails | {
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Pandas version 1.0.3
Reproduce with:
s1 = pandas.Series(("1","2"),index=["a","b"])
s2 = pandas.Series(("3","4"),index=["b","b"])
df = pandas.DataFrame({"render":s1,"huhu":s2})
df.to_excel("/tmp/out.xlsx")
gives:
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] | closed | false | null | [] | null | 0 | 2020-05-23T06:12:49Z | 2020-08-21T17:05:41Z | 2020-05-23T06:18:42Z | NONE | null | #### Is your feature request related to a problem?
It would increase user convenience if there were an argument where the user could specify the fields from the two data frames to be be merged which should be kept(or alternatively, a discard_fields column to specify which ones should be discarded)
This would make... | {
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- [x] tests added / passed
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On `master`, xticklabels are rotated if
```python
not self._use_dynamic_x()
and data.index.is_all_dates
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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
Should I add a whats new enty? Under which section?
https://github.com/phofl/pandas/blob/34331_render_column_name_raises_error_in_to_excel/pandas... | {
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```
In [5]: pd.__version__
Out[5]: '1.0.3'
In [6]: s1 = pd.Series([1, 0, 2], dtype=pd.SparseDtype("int64", 0))
In [7]: s2 = pd.Series(["a", "b", "c"], dtype="category")
In [8]: pd.concat([s1, s2])
Out[8]:
0 1
1 0
2 ... | {
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- [x] closes #34274
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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This adds tests with the behaviour as it was on 0.25.3 / 1.0.3, and some changes to get back to that behaviour.
(but whether this behaviour is fully "sane", I am not sure ..) | {
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```
In [15]: df1 = pd.DataFrame({"a": pd.array([1, 2, 3], dtype="Int64")})
...: df2 = pd.DataFrame({"a": np.array([4, 5, ... | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
The comment referenced a file deleted last year after separating the tests into a few files. I referenced the correct folder again | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
# Your code here
>>> pd._... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
pytest pandas/tests/io/t... | {
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Related to #27977.
output of `python scripts/validate_docstrings.py pandas.Index.to_series`:
```
##############################################... | {
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My question is : is that doable ? if yes .. how to do that ?
Thanks
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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```python
>>> arr = pd.arrays.SparseArray([0, 1])
>>> arr.dtype
Sparse[int64, 0] # master & this PR, unchanged
>>> arr.astype(str).dtype
Sparse[object, 0] # master
Sparse[object, '0'] # this PR, ... | {
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... | closed | false | null | [] | null | 2 | 2020-05-24T12:26:22Z | 2020-05-28T15:38:20Z | 2020-05-28T15:38:20Z | MEMBER | null | Noticed this while reviewing #34343
Currently, the example in the doc would look like this:
IMO there's insufficient separation between the subplots. If we change [this line](https://github.com/pandas-d... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
@jbrockmendel
I added a lenght check as suggested by you. I could not find another method to check the indices (nlevels for example does not work). I'm open to recomm... | {
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- [x] tests added / passed
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- [x] Adds testing to ensure concat between dense and sparse
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample
```python
import pandas as pd
pd.concat([
pd.Series([... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
xy = pd.Series(
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I have been testing the `inplace=True` parameters for a couple of functions, including `DataFrame.fillna()` and `DataFrame.clip()`.
When I use the inplace parameter on a multi-column slicing of a DataFrame, it will not alter the original DataFrame.
For inst... | {
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Currently `DataFrame.to_latex()` has a `longtable` argument, which writes the DataFrame to latex using the syntax of the longtable package. When used with the `label` and `caption` arguments, it writes a latex table with all of these features.
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
pd.Se... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34362 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34362/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34362/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34362/events | https://github.com/pandas-dev/pandas/pull/34362 | 624,122,619 | MDExOlB1bGxSZXF1ZXN0NDIyNjA3MTYw | 34,362 | DOC: Fix EX02 and SA01 in DataFrame.select_dtypes | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Related to #27977.
output of `python scripts/validate_docstrings.py pandas.DataFrame.select_dtypes`:
```
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https://api.github.com/repos/pandas-dev/pandas/issues/34363 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34363/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34363/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34363/events | https://github.com/pandas-dev/pandas/pull/34363 | 624,143,218 | MDExOlB1bGxSZXF1ZXN0NDIyNjIzMzc5 | 34,363 | TST: category isin on frame | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-05-25T08:42:07Z | 2020-07-10T00:08:31Z | 2020-07-10T00:08:27Z | CONTRIBUTOR | null | - [x] closes #34256
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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I discovered an unexpected behaviour while using pandas
## Code Sample
```
import pandas as pd
def process(df):
df.index = df["A"]
df.loc['first', 'A'] = 'first'
print("Before")
print(df)
print()
df.loc['first', 'B'] = 99
print("After")
print(df)
print("First processing : wit... | {
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* Add a inplace parameter, so the result from the op can be returned.
* allow a callable for ``value``, so the new values can be computed from existing column values.
* allow a dict for ... | {
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Since this is my first contr... | {
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In [7]: arr = np.random.randint(0, 1000, (100, 10))
In [8]: df1 = pd.DataFrame(arr)
In [9]: df2 = df1.copy()
...: df2.iloc[0, [1, 3, 7]] = np.nan
In [10]: df1 + df2
---------------------------------------------------------------------------
AssertionError Trace... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
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Tests still to be added.
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pandas/_libs/tslibs/timedeltas.pyx
pandas/_libs/tslibs/timestamps.pyx
Replace old string formatting syntax with f-strings #29547
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Added clarifying details to Business Year, Quarter, and Month, End and Begin docs
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xref https://github.com/pandas-dev/pandas/pull/33630#discussion_r428737327
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`dataframe.to_json()` now converts single level MultiIndex into single Index before encoding.
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[Pandas Ecosystem - Visualization](https://pandas.pydata.org/docs/ecosystem.html#visualization)
#### Documentation problem
This isn't a problem, just a suggestion for improving the current ecosystem listing.
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[D-Tale](https://github... | {
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Error handling within try/except in aggregate function of frame.py file
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- [x] closes #12136
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
- [x] merge master
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---
After specified column after groupby output is incorrect.
df = pd.DataFrame({'token': [12345.0, 12345.0, 12345.0, 12345.0, 12345.0, 12345.0, 6789.0, 6789.0, 6789.0, 6789.0, 6789.0, 6789.0], 'name': ['abc', 'abc', 'abc', 'abc', 'abc', 'abc', 'xyz'... | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/m... | {
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regression in #20405 (0.25.0) | {
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https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#evaluation-order-matters
#### Documentation problem
The documentation talks about how **not** to use `dfb['c'][dfb['a'].str.startswith('o')] = 42` for assignment of multiple values to a `pandas.Series` or `... | {
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~/pandas-dev$ grep -r os.remove pandas/tests/
pandas/tests/io/excel/test_openpyxl.py: os.remove(filename)
pandas/tests/io/excel/test_writers.py: # os.remove(filename)
pandas/tests/io/excel/test_writers.py: # os.remove(filename)
pandas/tests/io/pytables/common.py: os.remove(path)
``... | {
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I have made a start at this issue #34384. Please let me know if I am along the right lines (beginner contributor).
I've left a space in code_checks.sh where I expect to implement the check for instances of 'os.remove' throughout the code. | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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```python
import numpy as np
import pandas as pd
import datetime as dt
data = np.array([0.1552, 0.1746, 0.1932, 0.234 , np.nan, 0.2423, 0.1648,
np.nan, 0.2148, 0.2081, 0.2313, 0.2011, np.nan, 0.2076,
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Out[85]:
array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f3d0ad6e3d0>,
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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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- [X] I have confirmed this bug exists on the latest version of pandas.
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/min... | {
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Added [D-Tale](https://github.com/man-group/dtale) to the visualizations section of [Pandas Ecosystem](https://pandas.pydata.org/docs/ecosystem.html) doc
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First, this PR is fixing the "bug" that we shouldn't rely on `_constructor` being a class that can be used in `isinstance` (see https://github.com/pandas-dev/pandas/issues/32638 for the general discussion about this, this is the only place in our code where `_c... | {
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data[ group_fields + [ bool_field ]].groupby( group_fields ).mean() produces the error ment... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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also could add somewhere: https://github.com/pandas-dev/pandas/blob/master/README.md | {
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@TomAugspurger said the asv runner has segfaulted, this is a tracking issue. | {
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Closes #36495 | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew
@jreback
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```
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -DNPY_NO_DEPRECATED_API=0 -Ipandas/_libs/tslibs -I./pandas/_libs/tslibs -I/opt/python/cp38-cp38/lib/python3.8/site-packages... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34410 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34410/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34410/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34410/events | https://github.com/pandas-dev/pandas/issues/34410 | 625,845,600 | MDU6SXNzdWU2MjU4NDU2MDA= | 34,410 | 32-bit compat issues in MacPython/pandas-wheels | {
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A couple classes of failures
```
2020-05-27T03:46:00.4640450Z ______________ test_multiple_agg_funcs[rolling-2-expected_vals0] ______________
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- [ x] I have confirmed this bug exists on the latest version of pandas.
- [x ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02... | {
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https://dev.pandas.io/docs/reference/api/pandas.DataFrame.merge.html
#### Documentation problem
There is no documentation on this case
#### Suggested fix for documentation
I'm a bit confused about the behavior here, because I don't know what to expect. When I perform th... | {
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```
71.76s call pandas/tests/resample/test_datetime_index.py::test_nearest_upsample_with_limit[tzlocal()-30S-Y]
59.86s call pandas/tests/resample/test_datetime_index.py::test_nearest_upsample_with_limit[tzlocal()-30S-10M]
```
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https://api.github.com/repos/pandas-dev/pandas/issues/34414 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34414/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34414/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34414/events | https://github.com/pandas-dev/pandas/pull/34414 | 625,934,316 | MDExOlB1bGxSZXF1ZXN0NDI0MDQxOTQy | 34,414 | BUG: merge between partial index and index fails when result is empty | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2020-05-27T18:35:11Z | 2021-01-03T23:23:12Z | 2021-01-03T23:21:42Z | MEMBER | null | - [x] closes #33814
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
The Issue was caused when setting the name of an numpy array. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34415 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34415/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34415/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34415/events | https://github.com/pandas-dev/pandas/issues/34415 | 625,957,061 | MDU6SXNzdWU2MjU5NTcwNjE= | 34,415 | BUG: String series cat produces NaNs when left operand has a custom index | {
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] | closed | false | null | [] | null | 2 | 2020-05-27T19:06:38Z | 2020-08-21T17:05:43Z | 2020-05-27T19:24:50Z | NONE | null | - [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
print... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/34416 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34416/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34416/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34416/events | https://github.com/pandas-dev/pandas/pull/34416 | 625,991,196 | MDExOlB1bGxSZXF1ZXN0NDI0MDg0Nzgz | 34,416 | Macpython 32 bit build fixup | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2020-05-27T20:00:26Z | 2020-05-29T19:05:45Z | 2020-05-29T19:05:41Z | CONTRIBUTOR | null | Closes #34114
cc @jbrockmendel and @WillAyd. I have no idea if this is correct, but it builds. | {
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