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https://api.github.com/repos/pandas-dev/pandas/issues/28913 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28913/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28913/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28913/events | https://github.com/pandas-dev/pandas/pull/28913 | 505,537,961 | MDExOlB1bGxSZXF1ZXN0MzI2OTUxMjM0 | 28,913 | CLN: simplify maybe_promote in float and complex cases | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28915/events | https://github.com/pandas-dev/pandas/pull/28915 | 505,606,856 | MDExOlB1bGxSZXF1ZXN0MzI3MDA1MjQ5 | 28,915 | DOC: Fix typos in docstrings | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28917 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28917/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28917/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28917/events | https://github.com/pandas-dev/pandas/issues/28917 | 505,640,743 | MDU6SXNzdWU1MDU2NDA3NDM= | 28,917 | DataFrame.to_html col_space parameter to change width of a specific column only | {
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#### Problem description
Currently `col_space` changes width of all columns that are present in the dataframe. There must be a way to change the width of a specific column only while converting dataframe to html.
#### Expected Output
`col_space` to accep... | {
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behaviour because the final wrapping step of the summation ends up
converting the NaNs in the sum through a direct cast to int64. This
cast is undefined for NaN and just happens to work on x86_64 because
of the way `cvttd2si` works. On Aarch64, t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28919 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28919/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28919/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28919/events | https://github.com/pandas-dev/pandas/pull/28919 | 505,688,973 | MDExOlB1bGxSZXF1ZXN0MzI3MDY4ODQ5 | 28,919 | ENH: pd.MultiIndex.get_loc(np.nan) | {
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values as a input.
Background: In `MultiIndex`, missing value is denoted by -1 in codes and doesn't exist in `self.levels`
So, could not find NA value in `self.levels`.
Before PR xref #28783
- [x] closes #19132
- [x] tests added / passed
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```python
import pandas as pd
series = pd.Series(range(10))
should_be_none = series.rename('new_name', inplace=True)
print(should_be_none)
```
#### Problem description
When a method is called with the `inplace` argument, the method should:
- transform t... | {
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pd.ExcelWriter has a 'remove_timezone' option which removes the timezone information when printing out dataframes or series to excel using the pd.to_excel function. Thus allowing datetimes with timezone information to be written to excel files without their timezone information. Since upgrad... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28922 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28922/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28922/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28922/events | https://github.com/pandas-dev/pandas/issues/28922 | 505,815,325 | MDU6SXNzdWU1MDU4MTUzMjU= | 28,922 | PERF: asv's for non-int64 merges | {
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... | 7 | 2019-10-11T12:11:35Z | 2019-10-22T00:41:22Z | 2019-10-22T00:41:22Z | CONTRIBUTOR | null | in #28875 we enabled non-int64 merges between all integer types. I think we need asv's to see how performant these are: https://github.com/pandas-dev/pandas/pull/28875#issuecomment-541037953 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28923/events | https://github.com/pandas-dev/pandas/issues/28923 | 505,827,322 | MDU6SXNzdWU1MDU4MjczMjI= | 28,923 | DOC: search doesn't seem to work on dev docs | {
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cc @jorisvandenbossche @datapythonista | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28924/events | https://github.com/pandas-dev/pandas/issues/28924 | 505,849,790 | MDU6SXNzdWU1MDU4NDk3OTA= | 28,924 | setting column value with .loc based on a condition | {
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"description": "Related to indexing on s... | open | false | null | [] | null | 8 | 2019-10-11T13:21:36Z | 2021-07-21T05:43:06Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd
>>> from shapely.geometry import LineString
>>> line_1 = LineString(((0,0), (1,1)))
>>> line_2 = LineString(((3,3), (5,5)))
>>> df = pd.DataFrame(data={"line_id":"999", "geometry":[line_1]})
>>> print("inital dataframe:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28925/events | https://github.com/pandas-dev/pandas/issues/28925 | 505,858,415 | MDU6SXNzdWU1MDU4NTg0MTU= | 28,925 | Add cut as a Series method | {
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"gists... | null | 4 | 2019-10-11T13:37:59Z | 2021-07-21T05:48:49Z | 2021-07-21T05:48:48Z | NONE | null | #### Problem description
It would be to have `cut` as a series method so that we can method chain. Currently, we must use `pd.cut`, for example,
```
filled_series = df.some_series.fillna(0)
pd.cut(filled_series, 10).mean()
```
it would be nice to do,
```
df.some_series.fillna(0).cut(10).mean()
```
T... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28926/events | https://github.com/pandas-dev/pandas/issues/28926 | 505,869,724 | MDU6SXNzdWU1MDU4Njk3MjQ= | 28,926 | Fix mypy errors for pandas\tests\* | {
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... | 21 | 2019-10-11T13:58:02Z | 2020-09-29T20:30:55Z | 2020-09-29T20:30:55Z | MEMBER | null | For a full list, expand details.
<details>
```
pandas\tests\tseries\offsets\test_offsets_properties.py:54: error: Argument "min_value" to "datetimes" has incompatible type "Tuple[Any]"; expected "datetime"
pandas\tests\tseries\offsets\test_offsets_properties.py:54: error: Argument "max_value" to "datetimes" has... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28927/events | https://github.com/pandas-dev/pandas/issues/28927 | 505,886,225 | MDU6SXNzdWU1MDU4ODYyMjU= | 28,927 | Allow NaN Intervals and to allow NaN as a Groupby Category | {
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... | open | false | null | [] | null | 0 | 2019-10-11T14:28:00Z | 2020-04-27T00:19:32Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
df = pd.DataFrame(
data={
'age': [12, 13, 14, 12, pd.np.nan, 16, 16.5, 13.5, 10, 18]
}
)
intervals = [pd.Interval(i, i + 3) for i in range(10, 18, 3)]
# - 1 intervals = intervals + pd.Interval(pd.np.nan, pd.np.nan)
interval_idx = pd.Interval... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28928/events | https://github.com/pandas-dev/pandas/issues/28928 | 505,889,380 | MDU6SXNzdWU1MDU4ODkzODA= | 28,928 | Masking broken (or at least different) for Int64 Series | {
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```python
>>> import pandas as pd
>>> df = pd.DataFrame({"a": [3, 4], "b": [5, 6]}).astype({"a": "int64", "b": "Int64"})
>>> df["a"] ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28929/events | https://github.com/pandas-dev/pandas/pull/28929 | 505,944,683 | MDExOlB1bGxSZXF1ZXN0MzI3Mjc1NDI2 | 28,929 | ENH: Support for specifying col names for col_space | {
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- [ ] closes #28917
- [ ] 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/28930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28930/events | https://github.com/pandas-dev/pandas/issues/28930 | 505,956,594 | MDU6SXNzdWU1MDU5NTY1OTQ= | 28,930 | Comparison to string is broken for nullable int | {
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```python
import pandas as pd
df = pd.DataFrame({'x': [1, None]})
df.x.astype(pd.Int64Dtype()) == 'a'
```
#### Problem description
The above raises TypeError on line 627 in integer.py:
```python
result[mask] = op_name == "ne"
```
Here, the result is... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28931/events | https://github.com/pandas-dev/pandas/pull/28931 | 505,967,547 | MDExOlB1bGxSZXF1ZXN0MzI3MjkzNjcz | 28,931 | add uint64 support for some libgroupby funcs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28932/events | https://github.com/pandas-dev/pandas/pull/28932 | 505,970,673 | MDExOlB1bGxSZXF1ZXN0MzI3Mjk2MjEz | 28,932 | TYPING: Module 'pytz' has no attribute 'FixedOffset' | {
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@WillAyd we _could_ use `from pytz import FixedOffset, ...` so that only a single `type: ignores` is required.
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https://api.github.com/repos/pandas-dev/pandas/issues/28933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28933/events | https://github.com/pandas-dev/pandas/pull/28933 | 506,006,193 | MDExOlB1bGxSZXF1ZXN0MzI3MzI1MDUx | 28,933 | BUG: Preserve key order when using loc on MultiIndex DataFrame | {
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closes #22797
As described in #22797, the key order given to loc for a MultiIndex DataFrame was not respected:
```
import pandas as pd
import numpy as np
df = pd.DataFrame(np.arange(12).reshape((4, 3)),
index=[['a', 'a', 'b', 'b'], [1, 2, 1, 2]],
columns=[['Ohio', 'Ohio', 'Colorado'],
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https://api.github.com/repos/pandas-dev/pandas/issues/28934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28934/events | https://github.com/pandas-dev/pandas/pull/28934 | 506,013,757 | MDExOlB1bGxSZXF1ZXN0MzI3MzMxMjM3 | 28,934 | REF: de-duplicate groupby_helper code | {
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Orthogonal to #28931, but I expect it will cause merge conflicts. 28931 should be a higher priority. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28935/events | https://github.com/pandas-dev/pandas/pull/28935 | 506,067,778 | MDExOlB1bGxSZXF1ZXN0MzI3Mzc1NDU4 | 28,935 | fix #28926 pandas\api\test_api.py mypy errors | {
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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/28936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28936/events | https://github.com/pandas-dev/pandas/issues/28936 | 506,159,080 | MDU6SXNzdWU1MDYxNTkwODA= | 28,936 | No module named typing | {
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I have installed pandas using conda and I am getting no module named typing error. I installed typing package separately but got a syntax error there... | {
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Navigate to: https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf
This returns a 301 redirect to the same URL, which causes an infinite redirect lo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28940 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28940/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28940/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28940/events | https://github.com/pandas-dev/pandas/pull/28940 | 506,209,435 | MDExOlB1bGxSZXF1ZXN0MzI3NDgwMTYz | 28,940 | DOC: disable nbsphinx including requirejs | {
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This is using an option of `nbsphinx` to not include requirejs (which we don't... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28941 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28941/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28941/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28941/events | https://github.com/pandas-dev/pandas/issues/28941 | 506,215,512 | MDU6SXNzdWU1MDYyMTU1MTI= | 28,941 | pct_change with multi index behaves different than other functions (resolved) | {
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I've just spent two hours replicating and explaining the issue, just to realize it is fixed in 0.25.1
After all that time, I have to at least raise something. So I'm just raising a thank you guys for a great tool.
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- [x] closes #17667
- [x] 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/28943 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28943/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28943/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28943/events | https://github.com/pandas-dev/pandas/issues/28943 | 506,218,901 | MDU6SXNzdWU1MDYyMTg5MDE= | 28,943 | BUG: pd.DataFrame.select_dtypes() method defaults None to float64 if arg is list-like | {
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... | 3 | 2019-10-12T18:08:10Z | 2021-07-21T05:52:34Z | null | NONE | null | #### Code Sample
```python
>>> import pandas as pd
>>> df = pd.DataFrame({'a': [1, 2] * 3,
... 'b': [True, False] * 3,
... 'c': [1.0, 2.0] * 3})
>>> df.select_dtypes(include=None)
ValueError: at least one of include or exclude must be nonempty
>>> df.select_dtypes(include... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28944 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28944/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28944/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28944/events | https://github.com/pandas-dev/pandas/issues/28944 | 506,220,535 | MDU6SXNzdWU1MDYyMjA1MzU= | 28,944 | replace _msgpack with _pyarrow | {
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```python
>>> buf = df.to_XY()
>>> type(buf)
<class 'bytes'>
>>> df2 = pd.read_XY(buf)
>>> df.equals(df2)
True
```
I think a lot of users wou... | {
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boolean to bool
string to str
integer to int
Tests unchanged
black pandas ran successfully | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28949 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28949/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28949/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28949/events | https://github.com/pandas-dev/pandas/issues/28949 | 506,257,396 | MDU6SXNzdWU1MDYyNTczOTY= | 28,949 | BUG: np.min on DataFrame with a non-ordered Categorical col | {
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```
cat = pd.Categorical(['a', 'b', 'c', 'b'], ordered=False)
ser = pd.Series(cat)
df = ser.to_frame()
>>> np.min(cat) # <-- correctly raises
>>> np.min(ser) # <-- correctly raises
>>> np.min(df) # <-- incorrectly returns Series(['a'])
```
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https://api.github.com/repos/pandas-dev/pandas/issues/28950 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28950/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28950/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28950/events | https://github.com/pandas-dev/pandas/pull/28950 | 506,271,365 | MDExOlB1bGxSZXF1ZXN0MzI3NTIxNTA5 | 28,950 | Change width of specific columns using col_space param in df.to_html | {
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- [ ] closes #28917
- [ ] 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/28951 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28951/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28951/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28951/events | https://github.com/pandas-dev/pandas/pull/28951 | 506,280,689 | MDExOlB1bGxSZXF1ZXN0MzI3NTI3NTkx | 28,951 | To string with encoding | {
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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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] | open | false | null | [] | null | 23 | 2019-10-13T07:39:53Z | 2021-07-07T14:48:51Z | null | MEMBER | null | As discussed in https://github.com/pandas-dev/pandas/issues/15556 and activated in https://github.com/pandas-dev/pandas/pull/28623, the development docs are using a new sphinx documentation theme (for now developed in https://github.com/pandas-dev/pandas-sphinx-theme/).
You can see it in action at https://dev.pandas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28953 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28953/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28953/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28953/events | https://github.com/pandas-dev/pandas/issues/28953 | 506,294,381 | MDU6SXNzdWU1MDYyOTQzODE= | 28,953 | Plotting: series.plot() has different x-limits than plt.plot() | {
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```python
x = [1,2,3]
y = [4,3,5]
plt.plot(x,y,marker='o'); # x-limits are extended
pd.Series(y, index=x).plot(marker='o'); # x-limits are exactly on the first/last points
```
#### Problem description
When the data is plotted using `Series.plot()`, the... | {
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rebuilding the last release 0.25.1 without any changes results in the macOS 3.5 build failing https://travis-ci.com/robbuckley/pandas-wheels/jobs/244876276.
This seems to be due to https://github.com/pypa/setuptools/issues/1320 / https://github.com/pypa/packaging-problems/issues/134. A ... | {
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"description": "Apply, A... | open | false | null | [] | null | 9 | 2019-10-13T11:40:30Z | 2020-06-28T06:38:36Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pint
ureg = pint.UnitRegistry()
pint.PintType.ureg = ureg
def g(x):
return x+1*ureg.day
df = pd.DataFrame({'A':pd.Series([1,2,3,4], dtype='pint[day]'),'B':pd.Series([5,6,7,8], dtype='pint[day]')})
res = df['A'].apply(g)
print(type(d... | {
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```python
import pandas as pd
idx = pd.IndexSlice
import numpy as np
import sys
import traceback
trace_limit = 10
# Make the original index order.
ab_ind = pd.MultiIndex.from_product(
[['i', 'ii', 'iii'],
[1, 2, 3]],
names = ['A', 'B'])
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On master calls to _iterate_slices look up by label, potentially yielding a DataFrame if there were duplicated columns. This takes the surprise out ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28959 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28959/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28959/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28959/events | https://github.com/pandas-dev/pandas/pull/28959 | 506,392,885 | MDExOlB1bGxSZXF1ZXN0MzI3NjAwODkx | 28,959 | REF: re-raise AssertionError unchanged | {
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cc @jreback @WillAyd | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28960 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28960/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28960/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28960/events | https://github.com/pandas-dev/pandas/pull/28960 | 506,395,659 | MDExOlB1bGxSZXF1ZXN0MzI3NjAyNzU3 | 28,960 | Fix mypy errors for pandas\tests\* #28926 (test_algos.py) | {
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- [x] tests added / passed (verified that tests still pass)
- [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/28961 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28961/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28961/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28961/events | https://github.com/pandas-dev/pandas/pull/28961 | 506,402,271 | MDExOlB1bGxSZXF1ZXN0MzI3NjA3Mjc4 | 28,961 | CLN: fix mypy errors in pandas\tests\indexes\interval\test_base.py #28926 | {
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- [ ] tests added / passed
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Hi! I based this change on what I saw in #28947. However, when I test this with `mypy pandas/tests/indexes/interval/test_base.py`, I get this error, w... | {
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- [x] closes #28837
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to the other operand's dtype.
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Also fix some build warnings in interval.pyx | {
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```python
# Your code here
import pandas as pd
import numpy as np
#set folder
folder_processed=" your folder here "
files=[
'B0005_discharge.csv',
'B0006_discharge.csv',
'B0007_discharge.csv',
'B0018_discharge.csv',
]
def loadData(folder=folder... | {
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```python
import pandas as pd
pd.util.hash_pandas_object(pd.DataFrame({'data': [tuple('1'), tuple('2')]})) # fails
pd.util.hash_pandas_object(pd.DataFrame({'data': [tuple([1]), tuple([2])]})) # fails
```
<details><summary>Traceback</summary>
<p>
```sh
TypeError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28970 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28970/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28970/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28970/events | https://github.com/pandas-dev/pandas/pull/28970 | 506,522,376 | MDExOlB1bGxSZXF1ZXN0MzI3NzAwMTgw | 28,970 | fix #28926 mypy error in pandas\tests\arrays\test_array.py | {
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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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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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] | open | false | null | [] | null | 5 | 2019-10-14T15:30:20Z | 2021-07-21T05:54:49Z | null | NONE | null | It seems pandas `percent_rank` works like the `cume_dist` of SQL databases.
As `ibis-framework` tries to use the same pandas API as much as possible ... `ibis-framework` `percent_rank` is equal to `pandas`.
As in SQL databases there are these 2 operations, I need a way to implement the SQL `percent_rank`
I don... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28976 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28976/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28976/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28976/events | https://github.com/pandas-dev/pandas/pull/28976 | 506,740,422 | MDExOlB1bGxSZXF1ZXN0MzI3ODY4OTI4 | 28,976 | Fix mypy error message in `pandas/tests/indexes/test_numeric.py` … | {
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- [X] Relates to #28926
- [X] 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/28977 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28977/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28977/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28977/events | https://github.com/pandas-dev/pandas/pull/28977 | 506,801,742 | MDExOlB1bGxSZXF1ZXN0MzI3OTE2MTUx | 28,977 | CLN: remove unnecessary get_value_at calls | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
As part of this PR, did the following:
* Variable typing.
* Code cleanup and reformatting the imports.
* Internal class `_TestSQLAlchemyConn` behaves like an abstract class.
* To solve ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28980 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28980/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28980/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28980/events | https://github.com/pandas-dev/pandas/issues/28980 | 506,884,323 | MDU6SXNzdWU1MDY4ODQzMjM= | 28,980 | Certain comparison operations misbehaving for period dtype | {
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```python
import pandas as pd
s = pd.Series([pd.Period("2019"), pd.Period("2020")], dtype="period[A-DEC]")
s == "a" ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28981 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28981/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28981/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28981/events | https://github.com/pandas-dev/pandas/issues/28981 | 506,886,820 | MDU6SXNzdWU1MDY4ODY4MjA= | 28,981 | Possible regression in comparison operation for interval dtypes | {
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```python
import pandas as pd
s = pd.Series([pd.Interval(0, 1), pd.Interval(1, 2)], dtype="interval")
s == "a"
```
#### 0.25.1
```
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [N/A] whatsnew entry
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```python
import pandas as pd
from numpy import nan
df = pd.DataFrame({'grp': [1, 1, 2, 2], 'y': [1, 0, 2, 5], 'z': [1, 2, nan, nan]})
df.groupby('grp').apply(lambda grp_df: grp_df.nlargest(1, 'z'))
# grp y z
# grp
# 1 1 1 0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28986 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28986/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28986/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28986/events | https://github.com/pandas-dev/pandas/issues/28986 | 506,970,306 | MDU6SXNzdWU1MDY5NzAzMDY= | 28,986 | Add arm64 builds to CI | {
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Travis now has support for arm64 CI[1] and it would be great to have a CI job in place to ensure that builds and tests are run on arm64 to ensure that it works OK. This will also help ensure that in future undefined behaviour such as #28918 do not get silently introduced into pandas.
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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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- [ ] tests added / passed
- [x] passes `black pandas`
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- [ ] tests added / passed
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```
>>> from pandas.util.testing import assert_frame_equal
>>> df1 = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})
>>> df2 = pd.DataFrame({'a': [1, 2], 'b': [3.0, 4.0]})
>>> assert_frame_equal(df1, df2)
Traceback (most recent call last):
AssertionError: Attrib... | {
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```python
>>> a = csr_matrix([[1, 0, 0], [2, 2, 0], [0, 2, 2]])
>>> a[0, 2] = 0
>>> a.todense()
matrix([[1, 0, 0],
[2, 2, 0],
[0, 2, 2]], dtype=int64)
>>> pd.DataFrame.sparse.from_spmatrix(a)
0 1 2
0 1 0 0
1 2 2 0
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- [ ] closes #28991
- [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/28995 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28995/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28995/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28995/events | https://github.com/pandas-dev/pandas/issues/28995 | 507,121,395 | MDU6SXNzdWU1MDcxMjEzOTU= | 28,995 | DataFrame.mad() results inconsistent with scipy.stats.median_absolute_deviation | {
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```python
>>> import pandas as pd
>>> from scipy.stats import median_absolute_deviation
>>> data = [1, 1, 2, 2, 4, 6, 9] # taken from https://en.wikipedia.org/wiki/Median_absolute_deviation
>>> pd.DataFrame(data).mad()
0 2.367347
dtype: float64
>>> median_absolute_deviation(data)
1.4826
>>> median_absolut... | {
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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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================================== FAILURES ===================================
__ TestCategoricalDtypeParametrized.test_pickle_ordered_from_sentinel[True] ___
self = <pandas.tests.dtypes.test_dtypes.TestCategoricalDtypeParametrized object at 0x0000020497621B08>
ordered = True
@pytest.mark.parametrize(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28998 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28998/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28998/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28998/events | https://github.com/pandas-dev/pandas/issues/28998 | 507,181,487 | MDU6SXNzdWU1MDcxODE0ODc= | 28,998 | Documentation bug in pandas.api.types.is_scalar | {
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The first example is:
```
>>> dt = pd.datetime.datetime(2018, 10, 3)
>>> pd.is_scalar(dt)
True
```
#### Problem description
`is_scalar` is not a member of `pd`:
```
AttributeError: module 'pandas' has no attribute 'is_scalar'
```
#### Expected
`pd.api.types.is_scalar(...)`
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Once conda packages are built for 3.8 we want to use our usual system. | {
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result = df.pivot(index='c1', columns=['c2' , 'c3'], values='c4') a better solution.]
Eu preciso usar mais de uma instacia em um mapa de calor, mas da esse erro nas variaveis disponiveis.. | {
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is_scalar documentation was wrong, see #28998 | {
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- [x] passes `black pandas`
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ref closed PR #28979 | {
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Also added some import for Dict, Type and BaseExprVisitor
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See https://github.com/conda/conda-prefix-replacement/blob/master/.travis.yml#L9-L14
In theor... | {
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] | closed | false | null | [] | null | 4 | 2019-10-15T20:49:20Z | 2019-11-07T23:22:50Z | 2019-11-07T23:22:50Z | CONTRIBUTOR | null | - [x] tests passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
@datapythonista This is the pull request for replacing to_original_callable | {
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