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https://api.github.com/repos/pandas-dev/pandas/issues/25213 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25213/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25213/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25213/events | https://github.com/pandas-dev/pandas/issues/25213 | 407,702,617 | MDU6SXNzdWU0MDc3MDI2MTc= | 25,213 | BUG: object dtype & Int64Dtype equality comparison issue | {
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```python
import pandas as pd
d = {'int': [1, 2, 3], 'str': ['a', 'b', 'c']}
df = pd.DataFrame(d)
print(df['int'].dtype == pd.core.arrays.integer.Int64Dtype)
print(df['str'].dtype == pd.core.arrays.integer.Int64Dtype)
```
Example output:
```python
In... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25214 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25214/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25214/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25214/events | https://github.com/pandas-dev/pandas/issues/25214 | 407,741,420 | MDU6SXNzdWU0MDc3NDE0MjA= | 25,214 | BUG: SettingWithCopyWarning even if view | {
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```python
# df['column_to_assign_to'][assigning_mask] = values_tobe_assigned
```
#### Problem description
the given code example raies a SettingWithCopyWarning but it's no copy but a view!
<details>
python: 3.6.2.final.0
pandas: 0.24.1
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https://api.github.com/repos/pandas-dev/pandas/issues/25215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25215/events | https://github.com/pandas-dev/pandas/pull/25215 | 407,743,200 | MDExOlB1bGxSZXF1ZXN0MjUxMTQ3Nzc0 | 25,215 | [DOC] Fix typo in Cheat sheet with regex | {
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"followers_url": "https://api.github.com/users/j... | 18 | 2019-02-07T15:03:17Z | 2019-07-12T17:20:51Z | 2019-02-11T19:40:17Z | CONTRIBUTOR | null | - [x ] closes #25156
- [x ] tests added / passed
tests not needed - just a doc change
- [x ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
not needed - just a doc change
- [x ] whatsnew entry
Not needed - just a doc change
Small typo fixed in Powerpoint and PDF versions of cheat sheet.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25216 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25216/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25216/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25216/events | https://github.com/pandas-dev/pandas/issues/25216 | 407,774,490 | MDU6SXNzdWU0MDc3NzQ0OTA= | 25,216 | Remove python 2.7 testing | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25217 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25217/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25217/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25217/events | https://github.com/pandas-dev/pandas/pull/25217 | 407,780,922 | MDExOlB1bGxSZXF1ZXN0MjUxMTc2NTkz | 25,217 | [WIP] remove ci testing for python 2 | {
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- [ ] tests added / 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/25218 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25218/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25218/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25218/events | https://github.com/pandas-dev/pandas/issues/25218 | 407,839,362 | MDU6SXNzdWU0MDc4MzkzNjI= | 25,218 | Pandas read_html loses comma | {
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```python
import pandas as pd
table_list = pd.read_html("https://af.wikipedia.org/wiki/Lys_van_lande_volgens_geletterdheidskoers")
df = table_list[0].copy()
# Make the first row of the table the column headers.
new_header = df.iloc[0] # Grab the first row for the header.
df = df[1:] # ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25219 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25219/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25219/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25219/events | https://github.com/pandas-dev/pandas/pull/25219 | 407,884,214 | MDExOlB1bGxSZXF1ZXN0MjUxMjU4NDYz | 25,219 | BUG: Fix type coercion in read_json orient='table' (#21345) | {
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- [x] tests added / passed
- [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/25220 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25220/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25220/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25220/events | https://github.com/pandas-dev/pandas/issues/25220 | 407,924,189 | MDU6SXNzdWU0MDc5MjQxODk= | 25,220 | Keep (un-deprecate) `read_table()` for API stability | {
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`read_table()` got deprecated in favour of using `read_csv()`.
Using `read_csv()` to read tab/space delimited files is counter-intuitive. According to the docs and the related issues, both share the same code and it is not clear why the one function should be preferred over the other, and t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25221 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25221/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25221/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25221/events | https://github.com/pandas-dev/pandas/issues/25221 | 407,962,810 | MDU6SXNzdWU0MDc5NjI4MTA= | 25,221 | pivot and pivot_table not able to handle complex numbers | {
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```python
# Your code here
>>> branches
KEY Terminal.ConductingEquipment SvVoltage.TopologicalNode_x SvVoltage.TopologicalNode_y Branch.y
1 d8f14106-d89c-4779-bd29-18ad4b4e671d a94e594e-46c8-4cb3-b3d1-f412... | {
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```python
>>> df = pd.DataFrame(data=[pd.Timestamp('2017-10-11 07:30:00'),
pd.Timestamp('2017-10-11 08:30:00'),
pd.Timestamp('2017-10-11 09:30:00')],
index=[0,1,2],
columns=['Date_time'])
>>> df.Date_time
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25224 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25224/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25224/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25224/events | https://github.com/pandas-dev/pandas/pull/25224 | 408,024,074 | MDExOlB1bGxSZXF1ZXN0MjUxMzY1MjY4 | 25,224 | Fix concat not respecting order of OrderedDict | {
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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/25225 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25225/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25225/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25225/events | https://github.com/pandas-dev/pandas/pull/25225 | 408,082,887 | MDExOlB1bGxSZXF1ZXN0MjUxNDEwMDMy | 25,225 | TST: fix ci failures on master | {
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the match check in `test_astype_categorical_to_other` is probably too explicit and dependent on random numbers. | {
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`pd.Grouper`'s `base` argument is almost undocumented ([link](https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Grouper.html)). Despite this, the argument is extremely useful when grouping a dataframe with uneven sampling rate with an arbitrary start time.
Take for ex... | {
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... | closed | false | null | [] | null | 27 | 2019-02-08T12:43:44Z | 2019-06-27T03:34:02Z | 2019-06-27T03:34:02Z | CONTRIBUTOR | null | - [x] closes #25193
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Verified this using the Dockefile:
```
FROM alpine:3.8
RUN apk update
RUN apk add g++ libstdc++ python3-dev bash git
RUN pip3 install --upgrade pip
COPY dist/pandas-0.... | {
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df_test = pd.read_csv('utterances_test.txt', sep='\t', names=['id', 'label'])
```
Above code results in "df_test" having 19988 lines, but the original file "utterances_test.txt" has exactly 20000 lines.
This can be confirmed by running
```
cat utterances_test.txt | wc -l
```
in the terminal.
Also read... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25229 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25229/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25229/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25229/events | https://github.com/pandas-dev/pandas/issues/25229 | 408,200,614 | MDU6SXNzdWU0MDgyMDA2MTQ= | 25,229 | DISCUSS: What would an ORC reader/writer API look like? | {
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I'm one of the developers of https://github.com/rapidsai/cudf and we're working on adding GPU-accelerated file readers / writers to our library. It seems most of the standard formats are covered quite nicely in the Pandas API, but ORC isn't. Before we went off defining our ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25230 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25230/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25230/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25230/events | https://github.com/pandas-dev/pandas/pull/25230 | 408,202,385 | MDExOlB1bGxSZXF1ZXN0MjUxNTAzOTU1 | 25,230 | BUG: Fix regression in DataFrame.apply causing RecursionError | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
With this change the snippets reported in the issue work as expected:
```
>>> import numpy as np
>>> import pandas as pd
>>> df = pd.DataFrame(np.zeros((100, 15)))
>>> df... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25232 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25232/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25232/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25232/events | https://github.com/pandas-dev/pandas/issues/25232 | 408,267,831 | MDU6SXNzdWU0MDgyNjc4MzE= | 25,232 | Fix validation error type `PR08` and check in CI | {
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... | 3 | 2019-02-08T18:18:35Z | 2019-12-22T13:18:26Z | null | CONTRIBUTOR | null | #### Problem description
In order to have a continuous check by the CI on validation error `PR08` (Parameter description should start with a capital letter), fixing them in the code base enables the addition to the CI for automated testing in the future.
`PR08` has 156 occurrences (see [overview of the errors](http... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25233/events | https://github.com/pandas-dev/pandas/pull/25233 | 408,295,974 | MDExOlB1bGxSZXF1ZXN0MjUxNTc1OTgx | 25,233 | DEPR: Remove Panel-specific parts of io.pytables | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-02-08T19:40:18Z | 2019-02-09T02:24:32Z | 2019-02-08T23:34:57Z | MEMBER | null | Is it the case that LegacyTable and AppendableTable are never used directly, only their subclasses? If so, some further simplifications are available. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25234 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25234/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25234/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25234/events | https://github.com/pandas-dev/pandas/pull/25234 | 408,383,829 | MDExOlB1bGxSZXF1ZXN0MjUxNjQ0NDAx | 25,234 | BUG: Duplicated returns boolean dataframe | {
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"followers_url": "https://api.github.com/u... | 4 | 2019-02-09T01:44:06Z | 2019-02-11T12:52:50Z | 2019-02-11T12:52:39Z | CONTRIBUTOR | null | - [x] closes #25184
- [x] tests added / passed
- [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/25235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25235/events | https://github.com/pandas-dev/pandas/issues/25235 | 408,384,712 | MDU6SXNzdWU0MDgzODQ3MTI= | 25,235 | Broken Benchmarks in CI | {
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frame_methods.Repr.time_html_repr_trunc_mi
<details>
```python-traceback
File "/home/vsts/miniconda3/envs/pandas-dev/lib/python3.7/site-packages/asv/benchmark.py", line ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25236 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25236/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25236/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25236/events | https://github.com/pandas-dev/pandas/issues/25236 | 408,390,005 | MDU6SXNzdWU0MDgzOTAwMDU= | 25,236 | BUG: .loc indexing into MultiIndex with tuple with non-found keys gives wrong error | {
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```python
# Your code here
idx = ['str1', 'str2', 'str3']
df_full.set_index(idx, drop=False, inplace=True)
for i, rc in df.iterrows():
df.at[i, 'prev_state'] = df_full.loc[tuple(rc[e] for e in idx)]['state']
## df is a dataframe with columns in idx ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25237 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25237/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25237/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25237/events | https://github.com/pandas-dev/pandas/pull/25237 | 408,392,655 | MDExOlB1bGxSZXF1ZXN0MjUxNjQ5ODI4 | 25,237 | BLD: prevent asv from calling sys.stdin.close() by using different launch method | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-02-09T03:20:39Z | 2019-02-09T22:59:05Z | 2019-02-09T17:25:59Z | CONTRIBUTOR | null | This should fix the `asv dev` errors seen in #24953, though this may add a lot of runtime overhead so input on approaches appreciated.
When running `asv dev`, the default `--launch-method=fork` calls `sys.stdin.close()` in the main process where all benchmarks run. The function `DataFrame._repr_html_()` attempts to ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25238 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25238/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25238/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25238/events | https://github.com/pandas-dev/pandas/pull/25238 | 408,395,540 | MDExOlB1bGxSZXF1ZXN0MjUxNjUxNjk1 | 25,238 | DEPR: remove assert_panel_equal | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25239/events | https://github.com/pandas-dev/pandas/issues/25239 | 408,439,747 | MDU6SXNzdWU0MDg0Mzk3NDc= | 25,239 | DOC: Meaning of Timestamp `freq` attribute is unclear in docs | {
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The `freq` attribute of the `pandas.Timestamp` class is not well explained on the class's documentation page.
For background, there is an existing issue #15146 which proposes removing the `freq` attribute. I agree with that proposal, although I don't know how much technical complexity ... | {
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import pandas as pd
s1 = pd.Series(['AA/aa', 'BB/bb', 'CC/cc'])
s2 = s1.str.split('/')
s2.str[0]
Result:
0 AA
1 BB
2 CC
dtype: object
#### Problem description
In this example, the second 'str' attribute is applyied to a Series of list and... | {
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#### Code Sample
```
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xref: #24782
See the comment in https://github.com/pandas-dev/pandas/pull/24819
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xref #10633
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Before this change, when the `Series.interpolate()` method was called with invalid arguments, exceptions with informative messages would be raised internally, but then c... | {
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Continue refactoring cython function implemented in tempita into fused types. | {
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"d... | closed | false | null | [] | null | 6 | 2019-02-09T22:05:12Z | 2019-06-27T21:24:45Z | 2019-06-27T21:24:33Z | MEMBER | null | #25238 introduced a kludge in test_pickle and test_msgpack to ignore the Panel objects when unpickling/unpacking files produced using older versions. The right way to do this is to re-write those files without Panels in them to begin with. | {
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In order to have a continuous check by the CI on validation error `PR08` (Parameter description should start with a capital letter), fixing them in the code base enables the addition to the CI for automated testing in the future.
Please see [overview of the errors](https://gist.github.com/1... | {
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Includes some related-ish timezone documentation issues. | {
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The `validate_docstrings.py` script dynamically loads modules/classes/functions from its command-line argument.
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```python
import pandas as pd
df = pd.DataFrame({
'timestamp': [pd.Timestamp('2017-08-27 01:00:00.709949+0000', tz='UTC')],
})
pd.concat([df]) # works
pd.concat([df, df]) # works
pd.concat([df], copy=False) # fails
# Edit: added full tracebac... | {
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... | open | false | null | [] | null | 3 | 2019-02-10T10:25:17Z | 2020-04-19T21:40:01Z | null | NONE | null | **Describe the bug**
Got an `IOError: [Errno 2]` when I tried to build the [pandas docs](https://github.com/pandas-dev/panda) in Ubuntu 18.04 LTS (Bionic Beaver) running in Windows 10. I initially posted this at `sphinx-doc` issues: [#6049](https://github.com/sphinx-doc/sphinx/issues/6049#issue-408502477) and [#6049-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25259 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25259/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25259/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25259/events | https://github.com/pandas-dev/pandas/issues/25259 | 408,547,241 | MDU6SXNzdWU0MDg1NDcyNDE= | 25,259 | replace method with comma separator does not work in pandas 0.24.1 | {
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```python
import pandas as pd
df = pd.DataFrame({'one': ["1,000", "2,000"], 'two': ["3,000", "4,000"]})
df = df.replace({',': ''}, regex=True)
print(pd.__version__)
print(df)
```
```
0.23.4
one two
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
# Your code here
import matplotlib.pyplot as plt
import pandas as pd
fig, axes = plt.subplots(2, constrained_layout=True)
times = pd.date_range(start='now', periods=10)
pd.DataFrame({'a': np.arange(10)}, index=times).plot(style='x', ax=axes[0])
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xref #25197
in #24377, the `pytest_generate_tests` hook was used to parametrize the base tests over date_range, period_range and timedelta_range indexes.
to make it easier to understand the code and use less pytest magic, this PR uses a simpler approach of applying markers to the tests inst... | {
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- [x] closes #16785
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Additionally, date strings with UTC offsets that are using in indexing are now validated by the following:
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- [x] closes #25211
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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beginning of the string but spans all the characters within. The
behaviour is then consistent with versions prior to 0.24.0.
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https://api.github.com/repos/pandas-dev/pandas/issues/25268 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25268/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25268/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25268/events | https://github.com/pandas-dev/pandas/pull/25268 | 408,808,891 | MDExOlB1bGxSZXF1ZXN0MjUxOTM0NTkw | 25,268 | [BUG] exception handling of MultiIndex.__contains__ too narrow | {
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- 1 test added
- passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/25269 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25269/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25269/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25269/events | https://github.com/pandas-dev/pandas/issues/25269 | 408,813,437 | MDU6SXNzdWU0MDg4MTM0Mzc= | 25,269 | Numpy 1.16 and pickle retrocompatibility | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2019-02-11T14:41:45Z | 2019-02-11T16:16:06Z | 2019-02-11T14:46:16Z | CONTRIBUTOR | null | Hi,
I don't really know if this matter should be posted in pandas but here is the issue I noticed.
If you save a DataFrame into pickle (using `to_pickle`) on a virtualenv that has `numpy>=1.16` and want to open it with another virtualenv with `numpy<=1.15.4`, the following error is thrown :
```
ModuleNotFoun... | {
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```python
import pandas as pd
import numpy as np
ary = np.array([ [1, 0, 0, 3],
[1, 0, 2, 0],
[0, 4, 0 ,0] ])
df = pd.DataFrame(ary)
df.columns = [1, 2, 3, 4]
dfs = pd.SparseDataFrame(df,
d... | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-02-11T17:55:40Z | 2019-02-20T08:04:32Z | 2019-02-20T08:04:32Z | MEMBER | null | As called out by @gfyoung in review there are some easy opportunities to clean up and simplify the existing Excel IO modules. These are mostly minor loop refactors and docstring updates
https://github.com/pandas-dev/pandas/pull/25153#pullrequestreview-200888051
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Some of these (_get_series_result_type, _get_frame_result_type) are used ... | {
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```python
# Your code here
wget https://github.com/pandas-dev/pandas/files/2852618/file.xlsx
pip install pandas==0.23.4
>>import pandas as pd
>>df = pd.read_excel('file.xlsx', index_row=[0, 1, 2], header=[0, 1, 2])
>>print(df.columns.names)
pip uninstall p... | {
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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/25276 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25276/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25276/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25276/events | https://github.com/pandas-dev/pandas/issues/25276 | 408,976,820 | MDU6SXNzdWU0MDg5NzY4MjA= | 25,276 | New pd variable types for pd.period arithmetic | {
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"id... | closed | false | null | [] | null | 6 | 2019-02-11T21:08:46Z | 2019-02-12T21:47:20Z | 2019-02-12T21:47:19Z | CONTRIBUTOR | null | I believe it was with the release of version 0.24.0 that changed how the arithmetic between pandas periods works, but prior to that version, if we started with
```python
x = pd.Period('2017-01')
y = pd.Period('2016-01')
diff = x-y
print(diff, ' ', type(diff))
```
The result would be:
```
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [n/a ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/25278 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25278/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25278/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25278/events | https://github.com/pandas-dev/pandas/issues/25278 | 409,073,631 | MDU6SXNzdWU0MDkwNzM2MzE= | 25,278 | crosstab shows margins in wrong order if index/columns are ordered categories | {
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"de... | open | false | null | [] | null | 2 | 2019-02-12T01:47:13Z | 2021-06-26T05:25:57Z | null | NONE | null | #### Code Sample
Do a `crosstab` with an ordered categorical variable, with the order being different than the alphabetic default:
```python
df = pd.DataFrame({'First': ['B', 'B', 'C', 'A', 'B', 'C'],
'Second': ['C', 'B', 'B', 'B', 'C', 'A']})
df.First = df.First.astype(CategoricalDtype(ord... | {
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xref https://github.com/pandas-dev/pandas/pull/25260#issuecomment-462448610
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- [x] tests added / passed
- [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/25281 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25281/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25281/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25281/events | https://github.com/pandas-dev/pandas/pull/25281 | 409,131,331 | MDExOlB1bGxSZXF1ZXN0MjUyMTg1MjI1 | 25,281 | Removed Panel class from HDF ASVs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25282 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25282/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25282/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25282/events | https://github.com/pandas-dev/pandas/issues/25282 | 409,149,773 | MDU6SXNzdWU0MDkxNDk3NzM= | 25,282 | Sum of TimedeltaIndex raises TypeError: len() of unsized object | {
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"followers_url": "https://api.github.com/u... | 6 | 2019-02-12T07:02:04Z | 2019-02-20T10:52:02Z | 2019-02-20T10:52:02Z | NONE | null | #### Example code
```python
import pandas as pd
import numpy as np
dti = pd.date_range('2018-01-01', periods=100, freq='T')
dtd = dti[1:] - dti[:-1]
print(np.sum(dtd))
```
#### Problem description
Summing a TimedeltaIndex when using pandas 0.24.0 or newer with any version of numpy, or pandas 0.23.4 with ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25283 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25283/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25283/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25283/events | https://github.com/pandas-dev/pandas/issues/25283 | 409,242,330 | MDU6SXNzdWU0MDkyNDIzMzA= | 25,283 | Pandas dataFrame - selecting data - 'Interval' Recursion error | {
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"followers_url": "https://api.github.com/u... | 1 | 2019-02-12T11:05:25Z | 2019-02-20T03:51:05Z | 2019-02-20T03:51:05Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({'SPCName': ['IntervalXxxxxxxxxxxxxxxxxxxxxxxxx']})
df[df.SPCName == 'IntervalA']
```
#### Problem description
I am getting a recursion error from the above code ( RuntimeError: maximum recursion depth excee... | {
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Example 1:
```python
import pandas as pd
import numpy as np
index = ['col1:sub1', 'col1:sub2', 'col2']
df = pd.DataFrame(np.random.random(size=(10, len(index))), columns = index)
df.columns = df.columns.str.split(':', expand=True)
for key in df.columns.level... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25285 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25285/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25285/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25285/events | https://github.com/pandas-dev/pandas/pull/25285 | 409,366,441 | MDExOlB1bGxSZXF1ZXN0MjUyMzY3MDc1 | 25,285 | DOC: Fix minor typo in docstring | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25286 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25286/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25286/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25286/events | https://github.com/pandas-dev/pandas/issues/25286 | 409,402,246 | MDU6SXNzdWU0MDk0MDIyNDY= | 25,286 | Ability to Override Default Titles for Missing Column Headers in read_csv | {
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... | closed | false | null | [] | null | 6 | 2019-02-12T16:59:24Z | 2021-06-26T05:29:49Z | 2021-06-26T05:29:49Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
index = pd.MultiIndex.from_tuples([('col1', ''), ('col2', 'a1'), ('col2', 'a2')])
df = pd.DataFrame(np.random.random(size=(10, 3)), columns=index)
df.to_csv('test.cvs')
df2 = pd.read_csv('test.cvs', header=[0, 1], index_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25287 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25287/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25287/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25287/events | https://github.com/pandas-dev/pandas/issues/25287 | 409,417,816 | MDU6SXNzdWU0MDk0MTc4MTY= | 25,287 | Python 2: pandas.Series.eq() crashes with unicode data | {
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```python
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pandas as pd
weird_string = u"føøbår"
x = pd.DataFrame({"a" : [weird_string, "xx"]})
bool_series = (x["a"].eq(weird_string))
print(x[bool_series].to_string())
assert len(x[bool_series]) == 1
```
#### Problem description
Th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25288 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25288/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25288/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25288/events | https://github.com/pandas-dev/pandas/issues/25288 | 409,470,361 | MDU6SXNzdWU0MDk0NzAzNjE= | 25,288 | [0.24.1] New nullable integer fillna with non-int doesn't coerce to object | {
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```python
import pandas as pd
sample_data = []
sample_data.append({"integer_column":None})
sample_data.append({"integer_column":1})
sample_data.append({"integer_column":2})
df = pd.DataFrame(sample_data)
# Previous type is object
# df.dtypes
df.loc[:,'integer_column'] = df.loc[:,'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25289 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25289/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25289/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25289/events | https://github.com/pandas-dev/pandas/pull/25289 | 409,498,397 | MDExOlB1bGxSZXF1ZXN0MjUyNDY5ODIz | 25,289 | BUG: fixed merging with empty frame containing an Int64 column (#25183) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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I uses to be able to assign to a series like so:
```
import pandas as pd
pd.Series()["aaa"]= True # regular indexing
pd.Series().loc["aaa"]= True # regular indexing
pd.Series()[("aaa",123)]= True # Multi indexing
pd.Series().loc[("aaa",123)... | {
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"color": "AD7FA8"... | closed | false | null | [] | null | 17 | 2019-02-12T22:55:12Z | 2019-09-20T14:42:35Z | 2019-09-20T14:42:35Z | CONTRIBUTOR | null | - [ ] closes #25006
- [ ] tests added / 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/25292 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25292/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25292/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25292/events | https://github.com/pandas-dev/pandas/issues/25292 | 409,564,279 | MDU6SXNzdWU0MDk1NjQyNzk= | 25,292 | read_parquet segmentation fault with pyarrow | {
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Loading a dataframe with `pandas.read_parquet` with `engine='pyarrow'` can semi-randomly result in a segmentation fault.
This only seems to affect certain dataframes, others always seem to work. Unfortunately I can't share an affected dataframe because the problematic ones have sensitive... | {
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"followers_url": "https://api.github.com/u... | 3 | 2019-02-13T01:17:57Z | 2019-03-03T02:33:36Z | 2019-03-03T02:33:35Z | MEMBER | null | The travis logs have been failing recently as a result of -OO optimization failure. I cannot reproduce this locally so may just be a Windows issue?
https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=8270&view=logs&jobId=ae5f5554-4e02-5fb5-2f57-d6e8aefc10c0&taskId=1f8b548e-2577-5189-1750-f82ca6ecc932&line... | {
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"descript... | closed | false | null | [] | null | 4 | 2019-02-13T01:47:04Z | 2019-02-13T12:29:54Z | 2019-02-13T08:07:34Z | CONTRIBUTOR | null | I posted a question about this on [StackOverflow](https://stackoverflow.com/questions/54650913/why-doesnt-pandas-update-a-variables-dtype-when-populating-a-dataframe), but though it might be something worth reporting here.
#### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25295 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25295/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25295/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25295/events | https://github.com/pandas-dev/pandas/pull/25295 | 409,604,039 | MDExOlB1bGxSZXF1ZXN0MjUyNTQ2NDQ4 | 25,295 | DOC/CLN: Fix various docstring errors | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25296 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25296/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25296/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25296/events | https://github.com/pandas-dev/pandas/issues/25296 | 409,615,840 | MDU6SXNzdWU0MDk2MTU4NDA= | 25,296 | Document Using Regex for str.split | {
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```python
import pandas as pd
df = pd.DataFrame({'col': ['a-b-c+e=d,f#t']*5})
df.col.str.split('+|=', expand=True)
```
#### Problem description
While passing two patterns separating with `|` to `str.split()` method, if one of them is `+`, `panads` returns the following error:
```
--------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25297 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25297/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25297/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25297/events | https://github.com/pandas-dev/pandas/pull/25297 | 409,668,119 | MDExOlB1bGxSZXF1ZXN0MjUyNTkxMjMy | 25,297 | BUG: OverflowError in resample.agg with tz data | {
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- [x] tests added / passed
- [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/25298 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25298/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25298/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25298/events | https://github.com/pandas-dev/pandas/issues/25298 | 409,674,422 | MDU6SXNzdWU0MDk2NzQ0MjI= | 25,298 | IntervalIndex level in MultiIndex does not work as expected | {
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... | 2 | 2019-02-13T08:03:41Z | 2021-10-05T12:37:29Z | null | NONE | null | I am trying to index data frame with a `MultiIndex` with constituent `IntervalIndex`
#### Example
```python
ii = pd.IntervalIndex.from_arrays([1, 5, 2, 6, 3, 7], [4, 8, 5, 9, 6, 10])
mi = pd.MultiIndex.from_arrays([["aa", "aa", "bb", "bb", "cc", "cc"], ii])
data = [(1, 2), (3, 4), (5, 6), (7, 8), (9, 10), (11, 12)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25299 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25299/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25299/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25299/events | https://github.com/pandas-dev/pandas/issues/25299 | 409,700,937 | MDU6SXNzdWU0MDk3MDA5Mzc= | 25,299 | Minimum of ordered categorical data in Panda DataFrames | {
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"closed_at": "2019-03-13T21:33:10Z",
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"followers_url": "https://api.github.com/u... | 7 | 2019-02-13T09:15:34Z | 2019-02-16T18:50:48Z | 2019-02-16T18:50:48Z | NONE | null | I have a Pandas DataFrame with one Serie containing ordered Categorical data. Some value of this Serie may be missing (NaN). I want to get the minimum without taking into account NaNs but I obtained strange results ...
#### Code:
```python
raw_cat = pd.Categorical(["a", "b", "c", "a"],
ca... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25300 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25300/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25300/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25300/events | https://github.com/pandas-dev/pandas/issues/25300 | 409,724,595 | MDU6SXNzdWU0MDk3MjQ1OTU= | 25,300 | to_dict(orient='records') automatically renames "from" column | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2019-02-13T10:10:02Z | 2019-02-13T11:49:46Z | 2019-02-13T11:49:36Z | NONE | null | Column `from` gets automatically renamed when DataFrame is converted to dictionary.
#### Code Sample
```python
import pandas as pd
import numpy as np
df = pd.DataFrame(np.ones((5, 2)), columns=['from', 'sum'])
print(df.to_dict(orient='records'))
```
Obove code returns:
```
[{'_0': 1.0, 'sum': 1.0}, {'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25301 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25301/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25301/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25301/events | https://github.com/pandas-dev/pandas/issues/25301 | 409,784,212 | MDU6SXNzdWU0MDk3ODQyMTI= | 25,301 | pandas.Series.eq docs page example doesn't feature eq | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.eq.html
I presume the last execution in the example should be something like this, rather than the add example.
```
>>> a.eq(b)
a True
b F... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25302/events | https://github.com/pandas-dev/pandas/issues/25302 | 409,804,530 | MDU6SXNzdWU0MDk4MDQ1MzA= | 25,302 | BLD: pandas-wheels timing out | {
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"followers_url": "https://api.github.com/u... | 3 | 2019-02-13T13:27:01Z | 2019-03-03T02:31:38Z | 2019-03-03T02:31:38Z | CONTRIBUTOR | null | anyone know why the wheel building is timing out, not all of them though: https://travis-ci.org/MacPython/pandas-wheels. I have restarted on multiple days.
cc @TomAugspurger @matthew-brett | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25303 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25303/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25303/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25303/events | https://github.com/pandas-dev/pandas/issues/25303 | 409,808,562 | MDU6SXNzdWU0MDk4MDg1NjI= | 25,303 | API: What is the rationale for numeric_only of Categorical reductions? | {
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```
In [32]: cat = pd.Categorical(['a', np.nan, 'b', 'a'], ordered=True)
In [33]: cat.min()
Out[33]: nan
In [34]: cat.max()
Out[34]: 'b'
In [35]: cat.min(numeric_only=True)
Out[35]: 'a'
In [36]: cat.max(numeric_only=True)
Out[36]: 'b'
In [37]: ... | {
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- [x] closes https://github.com/pandas-dev/pandas/issues/25299
- [x] tests added / passed
- [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/25305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25305/events | https://github.com/pandas-dev/pandas/pull/25305 | 409,835,533 | MDExOlB1bGxSZXF1ZXN0MjUyNzE3ODQx | 25,305 | DOC: fix misspellings | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25306/events | https://github.com/pandas-dev/pandas/issues/25306 | 409,957,970 | MDU6SXNzdWU0MDk5NTc5NzA= | 25,306 | Fix validation error type `SS03` and check in CI | {
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"followers_url": "https://api.github.com/users/jreback/followers",... | 5 | 2019-02-13T19:12:48Z | 2021-11-21T00:50:06Z | null | CONTRIBUTOR | null | #### Problem description
In order to have a continuous check by the CI on validation error `SS03` (Summary does not end with a period), fixing them in the code base enables the addition to the CI for automated testing in the future.
`SS03` has 178 occurrences (see [overview of the errors](https://gist.github.com/19... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25307/events | https://github.com/pandas-dev/pandas/issues/25307 | 409,964,393 | MDU6SXNzdWU0MDk5NjQzOTM= | 25,307 | Wrong result for float32 Series when using bottleneck | {
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] | closed | false | null | [] | null | 8 | 2019-02-13T19:29:17Z | 2020-03-08T18:13:09Z | 2020-03-08T18:13:08Z | NONE | null | #### Minimal example
Requires bottleneck, numpy and pandas to be installed:
```python
>>> import numpy as np
>>> import pandas as pd
>>> import bottleneck as bn
>>> data = np.ones(2**25, dtype=np.float32)
>>> pd.Series(data).mean() # wrong
0.5
>>> bn.nanmean(data) # wrong
0.5
>>> data.mean() # correct... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25308 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25308/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25308/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25308/events | https://github.com/pandas-dev/pandas/pull/25308 | 409,974,288 | MDExOlB1bGxSZXF1ZXN0MjUyODI2Mzc4 | 25,308 | BUG: Groupby.agg with reduction function with tz aware data | {
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- [x] closes #21603
- [x] tests added / passed
- [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/25309 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25309/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25309/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25309/events | https://github.com/pandas-dev/pandas/pull/25309 | 409,992,163 | MDExOlB1bGxSZXF1ZXN0MjUyODQwMDM0 | 25,309 | Rt05 documentation error fix issue 25108 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] updates CI script to check for future testing automation | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25310 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25310/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25310/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25310/events | https://github.com/pandas-dev/pandas/pull/25310 | 410,027,192 | MDExOlB1bGxSZXF1ZXN0MjUyODY1ODU3 | 25,310 | #9236: test for the DataFrame.groupby with MultiIndex having pd.NaT | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
The referenced issue seems to be solved in the current master. So added a test for the edge case. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25311/events | https://github.com/pandas-dev/pandas/issues/25311 | 410,055,786 | MDU6SXNzdWU0MTAwNTU3ODY= | 25,311 | DataFrame to_csv line_terminator inconsistency when using compression | {
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"followers_url": "https://api.github.com/u... | 8 | 2019-02-13T23:42:04Z | 2019-03-11T16:56:29Z | 2019-03-11T15:26:55Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df.to_csv('uncompressed.csv')
df.to_csv('compressed-wrong-line-terminator.csv.gz')
df.to_csv('compressed-good-line-terminator.csv.gz', line_terminator='\n')
```
#### Problem description
Current line_terminator defaults when using compression and... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25312 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25312/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25312/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25312/events | https://github.com/pandas-dev/pandas/issues/25312 | 410,097,797 | MDU6SXNzdWU0MTAwOTc3OTc= | 25,312 | Pandas graphing time series issue | {
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import pandas as pd
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
%matplotlib qt
exampl = [4.4,5.1,6.1,6.2,6.1,6.1,5.7,5.2,4.7,4.1,3.9,3.5]
dates = pd.date_range('2016/10/29 5:30pm', periods = 12, freq='H')
series = pd.Series(exampl, dates)
series15m = series.resample('15... | {
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