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https://api.github.com/repos/pandas-dev/pandas/issues/26213 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26213/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26213/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26213/events | https://github.com/pandas-dev/pandas/issues/26213 | 437,479,996 | MDU6SXNzdWU0Mzc0Nzk5OTY= | 26,213 | Joining an empty DataFrame with 'on' argument can result in an invalid DataFrame | {
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"description": "Concat, Merge/Join, Stac... | open | false | null | [] | null | 1 | 2019-04-26T03:11:15Z | 2021-07-02T05:36:05Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
left = pd.DataFrame(
[(11, 21, 31),
(11, 22, 32),
(11, 23, 33),
(12, 21, 34),
(12, 22, 35)],
columns=['A', 'B', 'C'])
right1 = pd. DataFrame(
[(11, 22, 41, 51),
(11, 23, 42, 52),
... | {
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... | closed | false | null | [] | null | 1 | 2019-04-26T12:29:07Z | 2019-09-20T03:36:34Z | 2019-09-20T03:36:34Z | NONE | null | ### Bug report
**Bug summary**
The boxplot method on a dataframe which is using the "column, by" keywords does
not respect the _color_ keyword, and in fact crashes if it is present. This is not consistent with the documentation [here](http://pandas.pydata.org/pandas-docs/stable/user_guide/visualization.html#box-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26215/events | https://github.com/pandas-dev/pandas/issues/26215 | 437,731,545 | MDU6SXNzdWU0Mzc3MzE1NDU= | 26,215 | `fillna` using columns of dtype `category` also fills non-NaN values | {
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... | 5 | 2019-04-26T15:37:25Z | 2019-08-16T11:22:20Z | 2019-08-16T11:22:20Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
dct = {
'A': ['a', 'b', 'c', 'b'],
'B': ['d', 'e', np.nan, np.nan]
}
df = pd.DataFrame.from_dict(dct).astype('category')
df['C'] = df['B']
df['C'].cat.add_categories(df['A'].cat.categories, inpl... | {
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"default": fa... | closed | false | null | [] | null | 2 | 2019-04-26T17:52:44Z | 2019-08-27T18:30:36Z | 2019-08-27T18:30:36Z | MEMBER | null | Right now we provide custom serialization for JSON objects that define a toDict method:
https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html?highlight=todict#fallback-behavior
Some notes about this:
- toDict was a method internally for Series and Frame that was deprecated at least as far back as v0... | {
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Continuation of #26128, this time dealing with pyx-files. | {
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```python
import io
import pandas as pd
# Create a CSV with a single row:
stream = io.StringIO(u'foo,bar,baz,bam,blah')
# Succeeds, returns a DataFrame with four columns and ignores the fifth.
pd.read_csv(
stream,
header=None,
names=['one... | {
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] | closed | false | null | [] | null | 9 | 2019-04-26T20:54:58Z | 2021-08-25T21:18:13Z | 2019-05-03T16:25:12Z | NONE | null | Herein, I use int and float as abbrevs. for int64 and float64 dtypes.
In Pandas 0.24.2 running under Debian on Windows Subsytem for Linux, if I have a dataframe, df, with an int column and I execute:
df.loc['Totals'] = df.sum()
to add a summation row, then the int column remains of type int, as expected. ... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
`asv continuous -f 1.05 origin/master HEAD -b ^io.csv -b ^timeseries -a warmup_time=1 -a sample_time=1`:
master| patch| ratio| test name
-|-|-|-
98.4±3ms| 76.2±2ms| ... | {
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```python
import pandas as pd
df = pd.DataFrame([[1.0, 2.0, 3.0, 'A'],
[1.0, 2.0, 2.0, 'A'],
[2.0, 4.3, 2.3, 'B'],
[6.5, 3.4, 2.1, 'B']],
columns=['n0', 'n1', 'n2', 'letter'])
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- passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- whatsnew entry
```
before after ratio
[64104ec3] [e9ddf02b]
<master> <GH24813-inter>
- 1.76±0.01ms 233±0.5μs 0.13 index_object.IntervalIndexMethod.time_intersect... | {
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```python
# Create DataFrame
df = pd.DataFrame({'A': [1.0, 2.0, np.nan, 3.0], 'B': [100, 200, 300, 400]})
# Conversion mapping
convert_cols_dict = {'A': np.float32, 'B': np.int32}
# WORKS FINE: Conversion on dense-dataframe works well
df_optimized = df... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Continuation from #26177. In addition to the uses of ``super`` dealt with in #26177, there were some more advanced uses of ``super`` in the code base, e.g. in classmethods and using ``super`` to jump to a specific point in the MRO-chain.
This PR specifically deals with:
* ``super(..., ... | {
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This reverts commit e134ddb727069e50bd76c319d9d220fc23ca170f.
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In [1]: import pandas as pd
In [2]: pd.core.groupby.GroupBy.min?
Signature: pd.core.groupby.GroupBy.min(self, **kwargs)
Docstring:
Compute min of group values
See Also # <<<<-------- There should be an extra line between this and the line above
--------
pandas.Series.groupby
pandas.DataFrame.grou... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26233/events | https://github.com/pandas-dev/pandas/pull/26233 | 438,093,144 | MDExOlB1bGxSZXF1ZXN0Mjc0MjA0MDc4 | 26,233 | Refactor init for Excel readers to _BaseExcelReader | {
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"followers_url": "https://api.github.com/users/j... | 9 | 2019-04-28T19:50:00Z | 2019-05-01T10:12:37Z | 2019-04-30T15:17:59Z | CONTRIBUTOR | null | Pre-cursor for #25092. To support multiple excel readers the init function is moved to _BaseExcelReader. The function is made a bit more general to be able to support multiple excel readers.
- [ ] tests passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/26234 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26234/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26234/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26234/events | https://github.com/pandas-dev/pandas/pull/26234 | 438,097,980 | MDExOlB1bGxSZXF1ZXN0Mjc0MjA3Mzk0 | 26,234 | DOC: Fix validation error type `RT01` and check in CI (#25356) | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2019-04-28T20:41:58Z | 2019-07-11T15:47:55Z | 2019-05-08T03:57:10Z | CONTRIBUTOR | null | - [x] closes #25356
- [x] passes `./scripts/validate_docstrings.py --errors=RT01`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/26235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26235/events | https://github.com/pandas-dev/pandas/issues/26235 | 438,137,516 | MDU6SXNzdWU0MzgxMzc1MTY= | 26,235 | ValueError: fill value must be in categories--I dont know why aren't versions compatible. | {
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"descript... | closed | false | null | [] | null | 1 | 2019-04-29T03:26:52Z | 2019-04-29T05:58:23Z | 2019-04-29T05:58:15Z | NONE | null | The project I used is this website:https://github.com/ShichenXie/scorecardpy
You can install it by 'pip intall scorecardpy'.
This is my code:
```
# Traditional Credit Scoring Using Logistic Regression
import scorecardpy as sc
# data prepare ------
# load germancredit data
dat = sc.germancredit()
# f... | {
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... | 4 | 2019-04-29T06:26:48Z | 2020-03-30T07:15:36Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
In [2]: df = pd.DataFrame(data={"time": pd.date_range(start="1970-01-01 00:00:00", periods=5, freq='s', tz="Europe/Brussels")}) ... | {
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```python
from io import BytesIO
import pandas
pandas.DataFrame([[]]).to_pickle(BytesIO(), compression=None) # works
pandas.DataFrame([[]]).to_pickle(BytesIO())
# ValueError: Unrecognized compression type: infer (regression in 0.24 from 0.23)
pandas.DataFr... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-04-29T17:12:34Z | 2019-07-11T15:48:02Z | 2019-04-30T13:02:12Z | CONTRIBUTOR | null | These functions return a function either with empty return statement or doesn’t return. It causes docstring validation error with type RT01 (See #26234).
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/26239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26239/events | https://github.com/pandas-dev/pandas/pull/26239 | 438,437,916 | MDExOlB1bGxSZXF1ZXN0Mjc0NDY4Nzkw | 26,239 | Fix Memory Leak in to_json with Numeric Values | {
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- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
It looks like the extension module is unnecessarily incrementing the reference count for numeric objects and never releasing it, which causes a leak in to_json.
Still trying ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26240 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26240/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26240/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26240/events | https://github.com/pandas-dev/pandas/pull/26240 | 438,446,398 | MDExOlB1bGxSZXF1ZXN0Mjc0NDc1MzUz | 26,240 | TST: Test pd.Grouper base floating point error (#25161) | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/26241 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26241/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26241/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26241/events | https://github.com/pandas-dev/pandas/pull/26241 | 438,472,131 | MDExOlB1bGxSZXF1ZXN0Mjc0NDk1NjE2 | 26,241 | BUG: Enable plotting with PeriodIndex with arbitrary frequencies, resolves #14763 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Enables plotting of data with PeriodIndex with frequencies which are multiples of the `data.index.freq.rule_code`.
Hopefully I'll find some time to include tests within the next 3 weeks. Since this... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26242 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26242/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26242/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26242/events | https://github.com/pandas-dev/pandas/pull/26242 | 438,480,951 | MDExOlB1bGxSZXF1ZXN0Mjc0NTAyNTI2 | 26,242 | ENH: clearer error msg for unequal categoricals in merge_asof (GH#26136) | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/26243 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26243/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26243/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26243/events | https://github.com/pandas-dev/pandas/pull/26243 | 438,491,519 | MDExOlB1bGxSZXF1ZXN0Mjc0NTExMTAw | 26,243 | ENH: Poisson exponential window | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/26244 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26244/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26244/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26244/events | https://github.com/pandas-dev/pandas/pull/26244 | 438,555,294 | MDExOlB1bGxSZXF1ZXN0Mjc0NTYxOTEx | 26,244 | TST: make test_astype_categorical_to_other deterministic | {
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occasionally fail for no particular reason.
In particular, I saw the following error:
```
=================================== FAILURES ===================================
______________ TestSeriesDtypes.test_astype_categorical_to_other _____... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26245 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26245/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26245/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26245/events | https://github.com/pandas-dev/pandas/issues/26245 | 438,618,658 | MDU6SXNzdWU0Mzg2MTg2NTg= | 26,245 | Add midrules to multicolumns in to_latex() output | {
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"description": "to_latex... | open | false | null | [] | null | 2 | 2019-04-30T06:19:27Z | 2021-05-09T06:11:17Z | null | NONE | null | I propose adding midrules under headers for multicolumn headers.
See https://tex.stackexchange.com/a/180372 for examples of the latex feature.
Below is a code snippet for how I alter pandas.to_latex() output to include midrules for headers with 2 levels:
```python
latex = latex.replace(r'{l}', r'{c}')... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26246 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26246/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26246/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26246/events | https://github.com/pandas-dev/pandas/issues/26246 | 438,646,972 | MDU6SXNzdWU0Mzg2NDY5NzI= | 26,246 | Is the IEX Data Reader going to lose stock symbols this june 2019 | {
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```python
# Your code here
stock_df = web.DataReader(stock,'iex', start_time, now_time)
```
#### Problem description
I visited the IEX website? https://iextrading.com/developer/
It has a notice on the website:
IEX API will sunset non-Investors Exchan... | {
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"color": "0e8a1... | open | false | null | [] | null | 6 | 2019-04-30T14:14:04Z | 2021-07-14T03:40:08Z | null | NONE | null | #### Code Sample
```python
import numpy as np
import pandas as pd
x = np.random.randn(10,3)
# this works - list of DataFrames without column names
np.ravel([pd.DataFrame(batch.reshape(1,3)) for batch in x])
# this also works - single DataFrame with column names
np.ravel(pd.DataFrame(x[0].reshape(1,3), c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26248 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26248/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26248/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26248/events | https://github.com/pandas-dev/pandas/issues/26248 | 438,825,979 | MDU6SXNzdWU0Mzg4MjU5Nzk= | 26,248 | DatetimeIndex is converted to Index upon renaming of the columns | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2019-04-30T15:02:39Z | 2019-04-30T18:33:33Z | 2019-04-30T15:20:43Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import pytz
df = pd.DataFrame(data={'metric': [1, 2, 3, 4, 5, 6]},
index=pd.DatetimeIndex(['2007-07-13 02:00', '2007-07-13 03:00', '2007-07-13 04:00',
'2007-07-13 05:... | {
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"d... | open | false | null | [] | null | 5 | 2019-04-30T17:35:24Z | 2020-05-22T03:34:13Z | null | CONTRIBUTOR | null | This is a follow-up to #26242, for the following points:
- [ ] Add test in `test_merge_asof.py` that checks that `merge_asof()` raises an exception if called on unordered categories for a merge key.
- [ ] Remove docstrings in tests in `test_merge_asof.py`
- [ ] Add test to check that `merge_asof` works when one of t... | {
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xref #26248
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Type annotations for the following file need to be corrected to remove **pandas.compat** from the mypy blacklist.
Mypy throws the following error:
```sh
pandas/compat/__init__.py:81: error: Module has no attribute "re"
```
PR to follow.
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- [X] tests passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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... | open | false | null | [] | null | 7 | 2019-05-01T03:21:28Z | 2021-07-02T05:40:55Z | null | NONE | null | ```python
import numpy as np
import pandas as pd
import matplotlib.dates as md
import matplotlib.pyplot as plt
data = {
'date': [pd.Timestamp(2014, 9, 28), pd.Timestamp(2014, 10, 5), pd.Timestamp(2014, 10, 12)],
'val': [0.37,0.44,0.44]
}
df = pd.DataFrame(data=data)
ax = df.plot(x='date', y='val')
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[`GroupBy.mean()` doctests](https://pandas-docs.github.io/pandas-docs-travis/reference/api/pandas.core.groupby.GroupBy.mean.html#pandas.core.groupby.GroupBy.mean):
```python
Groupby one column and return the mean of the remaining columns in
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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pip3 install pandas==0.24.2
ERROR: No matching distribution found for pandas==0.24.2
Hi, We are trying to upgrade Pandas to 0.24.2 using pip 19.1 but it says matching distribution not found. Any ideas? Thanks! | {
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- 1 test added
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https://api.github.com/repos/pandas-dev/pandas/issues/26258 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26258/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26258/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26258/events | https://github.com/pandas-dev/pandas/issues/26258 | 439,228,127 | MDU6SXNzdWU0MzkyMjgxMjc= | 26,258 | Adding offset to DatetimeIndex is broken | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-05-01T16:31:58Z | 2019-05-12T20:51:59Z | 2019-05-12T20:51:59Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
offset = pd.DateOffset(months=3, days=10)
dates = pd.date_range(start='01 Jan 2014', end='01 Jan 2017', freq='AS')
dates + offset
```
#### Problem description
ValueError is raised:
```python
Traceback (most recent ca... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26259 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26259/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26259/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26259/events | https://github.com/pandas-dev/pandas/issues/26259 | 439,235,605 | MDU6SXNzdWU0MzkyMzU2MDU= | 26,259 | Int64Dtype in read_csv leads to unexpected values | {
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... | 1 | 2019-05-01T16:54:24Z | 2019-05-02T04:04:19Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import io
t = io.StringIO('''\
event,timestamp
a,1556559573141592653
b,1556559573141592654
c,
d,1556559573141592655
''')
# Reading the timestamps as strings works fine
print("\nExpected output:")
print(pd.read_csv(t, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26260 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26260/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26260/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26260/events | https://github.com/pandas-dev/pandas/pull/26260 | 439,257,896 | MDExOlB1bGxSZXF1ZXN0Mjc1MTAzMzQ0 | 26,260 | CLN: Removing dead code in plotting and minor refactoring | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-05-01T18:00:36Z | 2019-05-27T12:19:16Z | 2019-05-02T16:55:58Z | CONTRIBUTOR | null | Follow up of #26185 .
This delete dead code from the `MPLPlot._post_plot_logic_common` and move the change from #26185 into` LinePlot._post_plot_logic`.
In detail, the change are only executed when the `self.__need_to_set_index` is True
The `self._need_to_set_index` variable is only set if you call `_get_xticks`.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26261 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26261/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26261/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26261/events | https://github.com/pandas-dev/pandas/pull/26261 | 439,305,908 | MDExOlB1bGxSZXF1ZXN0Mjc1MTQxOTU4 | 26,261 | CLN: clean more uses of python2-style super() | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-05-01T20:14:09Z | 2019-05-01T21:34:24Z | 2019-05-01T21:32:02Z | CONTRIBUTOR | null | - [x] xref #25725 & #26177
Simplifies the uses of ``super`` by converting to use python3 idioms. This is a followup to #26177, focusing on uses of ``super`` in class methods.
Also adds a check for python2-style uses of ``super`` in code_checks.sh. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26262 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26262/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26262/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26262/events | https://github.com/pandas-dev/pandas/issues/26262 | 439,381,472 | MDU6SXNzdWU0MzkzODE0NzI= | 26,262 | Segfault in `pandas.DataFrame.from_records` | {
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] | closed | false | null | [] | null | 2 | 2019-05-02T00:12:49Z | 2019-05-02T16:53:05Z | 2019-05-02T16:53:05Z | CONTRIBUTOR | null | The following causes `pandas.DataFrame.from_records` to segfault:
```python
pd.DataFrame.from_records(
([(1, 2, 3), (4, 5, 6)],),
columns=['a', 'b', 'c']
)
```
The above is invalid and should error (a trailing comma led a list to accidentally be a 1-tuple containing a list, which is how I came upon t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26263/events | https://github.com/pandas-dev/pandas/issues/26263 | 439,415,691 | MDU6SXNzdWU0Mzk0MTU2OTE= | 26,263 | Remove register keyword from tokenizer extension | {
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I think it's worth removing this for the following reasons:
- Python removed it on their end over 6 years ago back in 3.4 (see [here](https://bugs.python.org/iss... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26264 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26264/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26264/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26264/events | https://github.com/pandas-dev/pandas/pull/26264 | 439,418,494 | MDExOlB1bGxSZXF1ZXN0Mjc1MjI4MzMw | 26,264 | Remove usage of register keyword in Extension Modules | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
ASV results show no difference:
```sh
BENCHMARKS NOT SIGNIFICANTLY CHANGED.
```
As I am fairly certain this keyword was being entirely ignored by the compilers anyway (s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26265 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26265/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26265/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26265/events | https://github.com/pandas-dev/pandas/issues/26265 | 439,418,868 | MDU6SXNzdWU0Mzk0MTg4Njg= | 26,265 | DataFrame.sample() | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2019-05-02T04:02:57Z | 2019-05-02T04:06:44Z | 2019-05-02T04:06:22Z | NONE | null | DataFrame.sample(n=None, frac=None, replace=False, weights=None, random_state=None, axis=None)[source]
It seems like the function of 'replace' is the other way around than what is explained in the documentation.
The documentation reads
"replace : bool, default False
Sample with or without replacement."
Where... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26267 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26267/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26267/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26267/events | https://github.com/pandas-dev/pandas/pull/26267 | 439,650,606 | MDExOlB1bGxSZXF1ZXN0Mjc1NDEwNzk1 | 26,267 | DOC: Add regex example in str.split docstring | {
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- [x] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Adding the regex example in the `str.split()` documentation to make people aware of the need to escape special characters when using regular expressions as the pattern.
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https://api.github.com/repos/pandas-dev/pandas/issues/26268 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26268/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26268/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26268/events | https://github.com/pandas-dev/pandas/pull/26268 | 439,728,039 | MDExOlB1bGxSZXF1ZXN0Mjc1NDcxNTg5 | 26,268 | Canonicalize CRAN links | {
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- [~] tests added / passed
- [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/26269 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26269/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26269/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26269/events | https://github.com/pandas-dev/pandas/issues/26269 | 439,820,194 | MDU6SXNzdWU0Mzk4MjAxOTQ= | 26,269 | DataFrame constructor passing DataFrame for full copying references original DataFrame instead of being its own new object | {
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```python
import pandas as pd
a = pd.DataFrame([[1,2,3,4], [10,20,30,40]])
b = pd.DataFrame(a)
a.loc[0,2] = 888
print(b) # this... should not have 888 in it.
a is b # yields False, which does not appear to be the case
```
#### Problem description
I ho... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-05-03T00:07:27Z | 2020-01-16T00:34:06Z | 2019-05-03T13:23:36Z | MEMBER | null | Just removing some old Py2 cruft hanging around in parsers.pyx | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26271 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26271/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26271/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26271/events | https://github.com/pandas-dev/pandas/issues/26271 | 439,876,890 | MDU6SXNzdWU0Mzk4NzY4OTA= | 26,271 | read_csv() breaks if passing `encoding` and characters 0x1C - 0x1E appear | {
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```python
import io
import pandas as pd
stream = io.BytesIO(b'col_1,col_2,col_3\nfoo,bar,baz\nabc,de\x1cfg,hijk\n')
df = pd.read_csv(stream, engine='python', encoding='ascii')
```
Using `engine='c'` produces the expected output (my terminal renders 0x1C... | {
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- [X] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This is not the final implementation but providing for discussion and feedback. Consideration points are:
- `_from_sequence_of_strings` was hacked to just return an Interval... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Fix the erroneous example in the wide_to_long docstring (non-integer suffixes portion)
Update code_checks to include reshape/melt.py
Edits based on the PR made by `sanjusci` (... | {
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```
import pandas as pd
animals = ["name", "animal", "date_of_birth"]
frame = pd.DataFrame(columns=animals)
frame.loc[len(frame)] = ["Rita"]+["Elephant"]+["02.03.2008"]
frame.loc[len(frame)] = ["Alfred"]+["Mouse"]+["03.02.2018"]
for index, row in frame.iterro... | {
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Figuring all of this out myself wasted a couple of hours, that could have been saved by a clearer documentation on the `resample` pag... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26276 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26276/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26276/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26276/events | https://github.com/pandas-dev/pandas/issues/26276 | 440,012,591 | MDU6SXNzdWU0NDAwMTI1OTE= | 26,276 | Dataframe.to_csv treats decimal.Decimal as string instead of numeric type and the 'decimal' sign parameter has no effect | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2019-05-03T11:55:33Z | 2019-05-06T10:11:07Z | 2019-05-05T18:31:38Z | NONE | null | #### Code Sample
(float output is prepared for the sake of comparison to Decimal)
```python
# ----------------------------------
### imports
import pandas as pd
import decimal as dc
# ----------------------------------
### definitions
value_str = '2.445'
# ----------------------------------
### i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26277 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26277/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26277/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26277/events | https://github.com/pandas-dev/pandas/issues/26277 | 440,026,531 | MDU6SXNzdWU0NDAwMjY1MzE= | 26,277 | Dataframe.to_excel treats decimal.Decimal as string instead of numeric type, the data in the Excel cell is formatted as a string, not a number | {
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#### Code Sample
(float output is prepared for the sake of comparison to Decimal)
```python
# ----------------------------------
### imports
import pandas as pd
import decimal as dc
# ----------------------------------
### definitions
value_str = '2.445'
# ----------------------------------
###... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26278 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26278/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26278/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26278/events | https://github.com/pandas-dev/pandas/issues/26278 | 440,151,367 | MDU6SXNzdWU0NDAxNTEzNjc= | 26,278 | Feature request: easier digit format in to_latex() | {
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... | 3 | 2019-05-03T17:45:39Z | 2021-05-24T13:44:05Z | 2021-05-24T13:44:05Z | NONE | null | #### Easier digit format
It is possible to change the digit format for the columns in a latex table like this
```python
import pandas as pd
data = [[1,2,3],
[4,5,6],
[7,8,9.001]]
df = pd.DataFrame(data, columns=['a', 'b', 'c'], index = ["foo", "bar" , "ho"])
cm0 =lambda x:'%1i' %x
cm1 =la... | {
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This removes ``compat.re_type`` from the code base. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26280 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26280/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26280/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26280/events | https://github.com/pandas-dev/pandas/pull/26280 | 440,274,429 | MDExOlB1bGxSZXF1ZXN0Mjc1ODg5MjA4 | 26,280 | Remove pandas.core.index.datetimelike from MyPy Blacklist | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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This PR starts the removal of ``compat.lrange`` from the code base. This removal requires some attention, as in most cases a plain ``range(...)`` should be used, but in some cases a ``list(range(...))`` needs to be used.
``lrange`` is used quite a lot, so there will be 1 or 2 more PRs, before th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26282 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26282/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26282/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26282/events | https://github.com/pandas-dev/pandas/pull/26282 | 440,344,877 | MDExOlB1bGxSZXF1ZXN0Mjc1OTM0MjUz | 26,282 | BUG: Fix #26210: MultiIndex Sorting with NaNs | {
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- [x] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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... | open | false | null | [] | null | 2 | 2019-05-05T11:17:51Z | 2020-04-02T04:19:03Z | null | NONE | null | ```python
import pytz
from pandas import Timestamp, Series
uniform_tz = Series({Timestamp("2019-05-01", tz=pytz.UTC): 1})
multi_tz = Series(
{
Timestamp("2019-05-01 01:00:00+0100", tz=pytz.timezone("Europe/London")): 2,
Timestamp("2019-05-02", tz=pytz.UTC): 3,
}
)
multi_tz.combin... | {
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... | 7 | 2019-05-05T15:46:04Z | 2020-04-16T23:38:21Z | 2020-04-16T23:38:21Z | NONE | null | There seems to be odd behaviour with json_normalize, specifically when json keys are inconsistently formatted.
json_normalize throws a keyword error as summarised in this question
https://stackoverflow.com/questions/55993192/inconsistent-behaviour-from-json-normalize-with-deeply-nested-json-data
Is this the expe... | {
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```python
import pandas as pd
import datetime as dt
# Create data
df = pd.DataFrame({'start_date': [dt.date(2019, 3, 31), dt.date(2019, 3, 31)],
'end_date': [dt.date(2019, 3, 31), dt.date(3014, 1, 1)] })
# Calculate duration (timedelta objects)
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"description": "Concat, ... | open | false | null | [] | null | 9 | 2019-05-06T03:53:30Z | 2020-01-31T16:45:00Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [12]: df1 = pd.DataFrame({"A": pd.SparseArray(pd.date_range("2000", periods=2)), "B": [1, 2]})
In [13]: df2 = pd.DataFrame({"B": [1, 2]})
In [14]: pd.concat([df1, df2])
```
```pytb
---------------------------------------------------------... | {
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Second part of the removal of ``compat.lrange`` from the code base. | {
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[test.xlsx](https://github.com/pandas-dev/pandas/files/3147076/test.xlsx)
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- [x] 1 test added
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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```python
import matplotlib
matplotlib.use('Agg')
import matplotlib.ticker as ticker
import matplotlib.dates as mdates
from matplotlib import pyplot as plt
from datetime import datetime
import pandas
# Creates problems
hours = range(24)
# Works fine
# hours = list(range(12)) + list(... | {
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The files in pandas.core.computation have the following errors:
```
pandas/core/computation/ops.py:169: error: Read-only property cannot override read-write property
pandas/core/computation/pytables.py:59: error: Read-only property cannot override read-write property
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- [X] tests passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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pandas.core.base has the following mypy errors:
```
pandas/core/base.py:840: error: "IndexOpsMixin" has no attribute "_values"; maybe "_map_values"?
pandas/core/base.py:963: error: "IndexOpsMixin" has no attribute "values"
```
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- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [X] tests added / passed
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pandas.core.config_init throws the following mypy error:
```
pandas/core/config_init.py:280: error: Need type annotation for 'style_backup'
```
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Not sure how pandas community feels about these kinds of fixes (and this is my first PR to pandas). I just notice things that are different from how they occur most of the time and decided to fix them up.
### Examples
#### Add 's' to headers
```
Example
```
to
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... | 2 | 2019-05-07T00:59:39Z | 2021-01-31T17:30:42Z | null | MEMBER | null | Follow up to https://github.com/pandas-dev/pandas/pull/25462#issuecomment-489862882 want to add annotations for parameters.
Would ideally probably want to add NoReturn but that requires 3.5.4 at a minimum so may want to explore other options | {
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```python
import traceback
import pandas as pd
# index is actually a MultiIndex
index = pd.Index([(1,), (2,), (3,)])
data = pd.DataFrame([[1, 2, 3]], columns=index)
data = data.reindex(columns=[(1,), (3,)])
try:
# This call fails with a TypeError.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26304/events | https://github.com/pandas-dev/pandas/issues/26304 | 441,094,981 | MDU6SXNzdWU0NDEwOTQ5ODE= | 26,304 | Inconsistency in `to_datetime` parsing as day and as month for different rows | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2019-05-07T08:03:49Z | 2019-05-07T12:26:11Z | 2019-05-07T12:25:44Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
s = pd.Series(['12.01.2017 17:18', '01.02.2017 11:12', '15.04.2017 02:40'])
pd.to_datetime(s)
```
#### Problem description
In our example the result will be as following:
```
0 2017-12-01 17:18:00
1 2017-01-02 11:1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26305/events | https://github.com/pandas-dev/pandas/issues/26305 | 441,122,745 | MDU6SXNzdWU0NDExMjI3NDU= | 26,305 | DataFrame should allow to hand in dtypes for every column | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2019-05-07T09:08:02Z | 2019-05-07T11:05:58Z | 2019-05-07T11:05:43Z | NONE | null | Currently it's quite hard to create empty data frames that have specific columns and types. This seems to happen to me on a regular basis, which is why I add this feature request.
#### Code Sample, a copy-pastable example if possible
```python
# state of the art / workaround
empty_result = pd.DataFr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26306/events | https://github.com/pandas-dev/pandas/pull/26306 | 441,155,633 | MDExOlB1bGxSZXF1ZXN0Mjc2NTM2OTg1 | 26,306 | DOC: Improve links and fix issues on resample documentation page | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2019-05-07T10:19:01Z | 2019-05-09T12:37:13Z | 2019-05-09T12:37:09Z | CONTRIBUTOR | null | - [x] closes #26275
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry (Not required IMO)
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https://api.github.com/repos/pandas-dev/pandas/issues/26307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26307/events | https://github.com/pandas-dev/pandas/issues/26307 | 441,250,560 | MDU6SXNzdWU0NDEyNTA1NjA= | 26,307 | Missing `GL06` and `GL07` errors for invalid docstrings | {
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"description": "Code style, linting, ... | closed | false | null | [] | null | 5 | 2019-05-07T14:01:37Z | 2020-09-23T21:29:58Z | 2020-09-23T21:29:58Z | CONTRIBUTOR | null | As discovered in the process of working on #26301, there are invalid docstrings that should throw either `GL06 - Found unknown section` or `GL07 - Sections are in the wrong order` errors.
Without too much investigation, it's not clear why `GL06` is not being thrown. Currently unsure if this is even a problem because... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26308 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26308/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26308/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26308/events | https://github.com/pandas-dev/pandas/pull/26308 | 441,280,933 | MDExOlB1bGxSZXF1ZXN0Mjc2NjM3Mjc4 | 26,308 | Removed to_panel references | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26309 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26309/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26309/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26309/events | https://github.com/pandas-dev/pandas/issues/26309 | 441,292,742 | MDU6SXNzdWU0NDEyOTI3NDI= | 26,309 | Upsample spline interpolation with smoothing | {
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"description": "np.nan, ... | open | false | null | [] | null | 6 | 2019-05-07T15:20:41Z | 2021-07-02T05:44:09Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
from io import StringIO
import numpy as np
import pandas as pd
from scipy import interpolate
import matplotlib.pyplot as plt
csv = StringIO("""
date_time,temperature
2019-05-05 01:30:00,38.8
2019-05-05 03:20:00,39.5
2019-05-05 04:30:00,39.3
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26310 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26310/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26310/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26310/events | https://github.com/pandas-dev/pandas/issues/26310 | 441,324,728 | MDU6SXNzdWU0NDEzMjQ3Mjg= | 26,310 | groupby.agg (first, last, min, etc...) returns incorrect results for uint64 columns | {
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```
import pandas as pd
import numpy as np
df = pd.DataFrame({'x': 6903052872240755750, 'y': [1,2]})
print(df.groupby('y').agg({'x': 'first'}))
df.x = df.x.astype(np.uint64)
print(df.groupby('y').agg({'x': 'first'}))
```
#### Problem description
grou... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26311/events | https://github.com/pandas-dev/pandas/pull/26311 | 441,357,681 | MDExOlB1bGxSZXF1ZXN0Mjc2Njk4NDc4 | 26,311 | CLN;: remove compat.lzip | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2019-05-07T17:48:12Z | 2019-05-08T04:32:55Z | 2019-05-08T04:18:40Z | CONTRIBUTOR | null | - [x] xref #25725
Removal of ``compat.lzip`` from the code base. | {
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] | closed | false | null | [] | null | 5 | 2019-05-07T22:03:06Z | 2019-05-13T21:01:06Z | 2019-05-13T21:01:06Z | NONE | null | - [ ] closes #xxxx
- [1 ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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