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https://api.github.com/repos/pandas-dev/pandas/issues/24813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24813/events | https://github.com/pandas-dev/pandas/issues/24813 | 400,087,657 | MDU6SXNzdWU0MDAwODc2NTc= | 24,813 | PERF: Avoid MultiIndex conversion for IntervalIndex methods | {
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... | 6 | 2019-01-17T02:47:43Z | 2021-06-17T03:06:33Z | null | MEMBER | null | There are a few `IntervalIndex` methods that convert to a `MultiIndex` as an intermediate step, and then use the associated `MultiIndex` method to compute the result. This likely introduces overhead that could be avoided via a more direct `IntervalIndex` implementation.
Methods that currently require a `MultiIndex`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24814/events | https://github.com/pandas-dev/pandas/issues/24814 | 400,185,926 | MDU6SXNzdWU0MDAxODU5MjY= | 24,814 | pandas EWMA documentation possible error | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-01-17T09:36:11Z | 2019-05-18T14:22:13Z | 2019-05-18T14:22:13Z | CONTRIBUTOR | null | I believe there might be an error in the documentation for the pandas EWM method at
http://pandas.pydata.org/pandas-docs/stable/user_guide/computation.html#exponentially-weighted-windows
in particular, in the following line:
> When adjust=True we have y0=x0 and from the last representation above we have yt=αx... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24815/events | https://github.com/pandas-dev/pandas/pull/24815 | 400,242,697 | MDExOlB1bGxSZXF1ZXN0MjQ1NDc0Mjk4 | 24,815 | BUG: Format mismatch doesn't coerce to NaT | {
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"followers_url": "https://api.github... | 8 | 2019-01-17T11:55:31Z | 2019-01-22T08:49:49Z | 2019-01-21T14:19:56Z | MEMBER | null | - [x] closes #24763
- [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/24816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24816/events | https://github.com/pandas-dev/pandas/issues/24816 | 400,273,744 | MDU6SXNzdWU0MDAyNzM3NDQ= | 24,816 | Question regarding Series.argsort documentation | {
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"followers_url": "https://api.github... | 3 | 2019-01-17T13:19:54Z | 2019-01-19T01:35:52Z | 2019-01-19T01:35:18Z | MEMBER | null | `Series.argsort` has three arguments, `axis`, `kind` and `order`, but only `kind` is actually used. Should the other two be removed from the documentation? (I'm guessing they were once used and are left in the code for compatibility reasons?)
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.args... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24817 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24817/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24817/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24817/events | https://github.com/pandas-dev/pandas/issues/24817 | 400,354,081 | MDU6SXNzdWU0MDAzNTQwODE= | 24,817 | SparseDataFrame.to_coo does not convert the default fill value when is not 0 | {
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```python
In [21]: df = pd.DataFrame({"A": pd.SparseArray([1, 1, 1, 2], fill_value=1)})
In [22]: df.sparse.to_coo().todense()
Out[22]:
matrix([[0],
[0],
[0],
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24818 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24818/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24818/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24818/events | https://github.com/pandas-dev/pandas/issues/24818 | 400,376,269 | MDU6SXNzdWU0MDAzNzYyNjk= | 24,818 | Adding native support to query azure data explorer | {
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"... | closed | false | null | [] | null | 3 | 2019-01-17T17:09:42Z | 2019-01-21T23:49:28Z | 2019-01-21T23:49:28Z | NONE | null | Hello,
My name is Tomer, and I am a developer working at Microsoft.
I am part of [Azure Data Explorer](https://azure.microsoft.com/en-us/services/data-explorer/), and maintaining our [python packages](https://github.com/Azure/azure-kusto-python).
We have many customers that are using pandas, and we were thinking o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24819/events | https://github.com/pandas-dev/pandas/pull/24819 | 400,449,812 | MDExOlB1bGxSZXF1ZXN0MjQ1NjM0OTAx | 24,819 | BUG: DataFrame.merge(suffixes=) does not respect None | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/24823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24823/events | https://github.com/pandas-dev/pandas/issues/24823 | 400,564,951 | MDU6SXNzdWU0MDA1NjQ5NTE= | 24,823 | HDFExtError: Problem creating the table | {
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... | open | false | null | [] | null | 4 | 2019-01-18T04:10:54Z | 2021-03-19T15:23:59Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
def store_data(df, data_key, **kwargs):
os.makedirs(data_folder, exist_ok=True)
store = pd.HDFStore(data_filename, mode='a')
store.put(data_key, df, format='table', data_columns=True)
store.close
```
#### Problem description
HDFExtError:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24824/events | https://github.com/pandas-dev/pandas/issues/24824 | 400,578,129 | MDU6SXNzdWU0MDA1NzgxMjk= | 24,824 | pandas.Series.ne Documentation has Series.add as example | {
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] | closed | false | null | [] | null | 1 | 2019-01-18T05:30:27Z | 2019-01-18T05:40:29Z | 2019-01-18T05:40:23Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
Wrong example in:
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.ne.html#pandas.Series.ne
and pandas.Series.le
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.le.html
```
#### Problem ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24825/events | https://github.com/pandas-dev/pandas/pull/24825 | 400,588,493 | MDExOlB1bGxSZXF1ZXN0MjQ1NzQwNjk2 | 24,825 | DOC/CLN: Timezone section in timeseries.rst | {
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- Removed some redundant examples
- Refactored the ambiguous times handling section
- Showcase `tz_localize` more in the beginning of the section & noted that pandas doesn't support `datetime.timezone` objects yet
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The main goal here was the introduction of a base reader class which defines the properties / methods that any subclass needs to define to plug in to.
This ultimately could be refactored into a s... | {
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"followers_url": "https://api.github... | 3 | 2019-01-18T19:38:07Z | 2019-01-19T01:35:42Z | 2019-01-19T01:35:19Z | CONTRIBUTOR | null | - [ ] closes #24816
- [ ] 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/24831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24831/events | https://github.com/pandas-dev/pandas/issues/24831 | 400,873,014 | MDU6SXNzdWU0MDA4NzMwMTQ= | 24,831 | wide_to_long orders the column corresponding to the j parameter inconsistently | {
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import pandas as pd
import numpy as np
# set up dataframes
values1 = np.array([[0.45, 0.3, 'Test1', 2, 6],
[0.03, 1.2, 'Test2', 9, 7],
[0.7, 4.2, 'Test3', 4, 2]], dtype=object)
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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/24833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24833/events | https://github.com/pandas-dev/pandas/pull/24833 | 400,922,377 | MDExOlB1bGxSZXF1ZXN0MjQ1OTk4MTI1 | 24,833 | POC: move to_offset to libfrequencies | {
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This moves to_offset up by defining appropriate dictionaries in the cython modul... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24834/events | https://github.com/pandas-dev/pandas/pull/24834 | 400,933,630 | MDExOlB1bGxSZXF1ZXN0MjQ2MDA2NjY5 | 24,834 | REF remove unused imports from tseries.frequencies; update imports elsewhere | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/24835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24835/events | https://github.com/pandas-dev/pandas/pull/24835 | 400,961,476 | MDExOlB1bGxSZXF1ZXN0MjQ2MDI1Njc0 | 24,835 | fixed regression commit | {
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"followers_url": "https://api.github... | 2 | 2019-01-19T04:57:35Z | 2019-01-19T13:41:47Z | 2019-01-19T13:41:44Z | CONTRIBUTOR | null | Fixes an issue with the ASV config.
It seems that ASV may not understand tags in the regressions_first_commit. I've replaced that tag with the commit for 0.23.4
I removed the regression threashold, as it's already the default. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24836/events | https://github.com/pandas-dev/pandas/issues/24836 | 400,978,629 | MDU6SXNzdWU0MDA5Nzg2Mjk= | 24,836 | pandas : MemoryError | {
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```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24837 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24837/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24837/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24837/events | https://github.com/pandas-dev/pandas/pull/24837 | 400,987,932 | MDExOlB1bGxSZXF1ZXN0MjQ2MDQyMzMy | 24,837 | Fix memory growth bug in read_csv | {
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Closes #24805.
xref #23527. | {
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#### Code Sample, a copy-pastable example if possible
Im getting all of a sudden this Error, any idea?
```python
# Your code here
input_df = pd.read_hdf(path_or_buf='x.hdf5',key='/x',mode='r')
```
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- [X] tests added / passed
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Previously, the constructor for SparseFrame would default to `np.nan` if the data parameter was `None`, even if a `default_fill_value` is specified. This PR fixes this. | {
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I found the issue stagnant, but since the fix was already in place, I manually took the code @rosygupta made and applied it onto latest master. Rebase wasn't an option that I f... | {
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... | 1 | 2019-01-20T09:54:58Z | 2020-06-28T23:17:11Z | null | CONTRIBUTOR | null | A very similar bug to #20425, but with `CategoricalIndex` instead of `Categorical`:
#### Code Sample
```python
cat1 = pd.CategoricalIndex(
["a", "a",],
categories=["a", "b"],
ordered=False)
cat2 = pd.CategoricalIndex(
["b", "b"],
categories=["b", "a"],
ordered=False)
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- passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Implement a wrapper class other than a single decorator. It is tidier to add more conditions for ops later.
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```
In [8]: import geopandas
...: world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
In [9]: pd.options.display.max_columns = 0 # defaul... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24850 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24850/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24850/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24850/events | https://github.com/pandas-dev/pandas/pull/24850 | 401,139,797 | MDExOlB1bGxSZXF1ZXN0MjQ2MTM1MTU2 | 24,850 | BUG : ValueError in case on NaN value in groupby columns | {
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"followers_url": "https://api.github... | 12 | 2019-01-20T21:14:03Z | 2019-01-22T23:29:38Z | 2019-01-22T23:29:34Z | CONTRIBUTOR | null | Fixes GH24740
- [x] closes #24740
- [x] closes #21151
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
**Before**
```python
In [5]: ds.groupby("b").groups
... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Currently one test is failing:
```
def test_groups(self, df):
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* https://github.com/pandas-dev/pandas/issues/24767#issuecomment-455468954
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"followers_url": "https://api.github... | 6 | 2019-01-21T01:53:36Z | 2019-01-27T00:26:55Z | 2019-01-21T14:21:32Z | MEMBER | null | Closes #13253.
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https://api.github.com/repos/pandas-dev/pandas/issues/24857 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24857/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24857/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24857/events | https://github.com/pandas-dev/pandas/issues/24857 | 401,207,936 | MDU6SXNzdWU0MDEyMDc5MzY= | 24,857 | "ValueError: num must be 1 <= num <= 0, not 1" when trying to plot a histogram of datetimes | {
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] | closed | false | null | [] | null | 4 | 2019-01-21T06:15:40Z | 2019-11-02T00:48:12Z | 2019-11-02T00:48:12Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import random
import dateutil.parser
import pandas as pd
import matplotlib.pyplot as plt
start = dateutil.parser.parse("1 January 2019")
end = dateutil.parser.parse("3 January 2019")
data = [start + (end - start) * random.random() for _ in ra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24858 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24858/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24858/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24858/events | https://github.com/pandas-dev/pandas/issues/24858 | 401,296,738 | MDU6SXNzdWU0MDEyOTY3Mzg= | 24,858 | ExtensionArray: deprecation of _formatting_values not working? | {
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Reproducible example (it's not a complete implementation, but I think the error here is not caused by that);
```
from pandas.api.extensions import ExtensionDtype, ExtensionArray
from shap... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24859 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24859/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24859/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24859/events | https://github.com/pandas-dev/pandas/issues/24859 | 401,325,964 | MDU6SXNzdWU0MDEzMjU5NjQ= | 24,859 | from_dict(..., orient='index') row order preservation inconsistent | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2019-01-21T12:12:27Z | 2019-05-03T05:28:57Z | 2019-05-03T05:28:56Z | CONTRIBUTOR | null | #### Code Sample
```python
data = {'B' : [1], 'A' : [2], 'C' :[3]}
print(pd.DataFrame.from_dict(data, orient='index'))
# 0
# B 1
# A 2
# C 3
data = {'B' : dict(col1=1), 'A' : dict(col1=2), 'C' :dict(col1=3)}
print(pd.DataFrame.from_dict(data, orient='index'))
# col1
# A 2
# B 1
# C... | {
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] | closed | false | null | [] | null | 5 | 2019-01-21T14:19:15Z | 2021-06-08T22:05:59Z | 2021-06-08T22:05:59Z | MEMBER | null | Currently, the `ExtensionDtype` docstring says:
```
Optionally one can override construct_array_type for construction
with the name of this dtype via the Registry. See
:meth:`pandas.api.extensions.register_extension_dtype`.
* construct_array_type
```
However, it seems that in practice this is used for mor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24861 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24861/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24861/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24861/events | https://github.com/pandas-dev/pandas/issues/24861 | 401,406,822 | MDU6SXNzdWU0MDE0MDY4MjI= | 24,861 | Displayed precision of float in presence of np.inf | {
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... | 1 | 2019-01-21T15:38:58Z | 2019-01-23T12:23:50Z | 2019-01-23T12:23:50Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
print(
pd.Series([1., 2.2222, np.inf]).round(1)
)
```
#### Problem description
The display of floating precision in a dataframe and serie could be improved in the presence of `np.inf`.
My expectati... | {
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... | 15 | 2019-01-21T15:55:36Z | 2021-10-19T15:53:56Z | null | CONTRIBUTOR | null | Currently pandas can quickly write a dataframe to an excel sheet. However the output is a plain workbook with a bunch of values, and not the much more powerful excel table object. Excel table objects are very useful because they allow referencing columns/cells by header name instead of `$A$23`, better filtering, sortin... | {
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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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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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"followers_url": "https://api.github... | 3 | 2019-01-21T18:58:36Z | 2019-01-21T19:38:43Z | 2019-01-21T19:38:39Z | CONTRIBUTOR | null | The `eval.Query` asv suite has a large amount of setup overhead due to a typo:
```
$ time asv dev -b eval.Query
· Discovering benchmarks
· Running 3 total benchmarks (1 commits * 1 environments * 3 benchmarks)
[ 0.00%] ·· Benchmarking existing-py_home_chris_anaconda3_bin_python
[ 16.67%] ··· eval.Query.time_quer... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24866 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24866/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24866/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24866/events | https://github.com/pandas-dev/pandas/pull/24866 | 401,482,041 | MDExOlB1bGxSZXF1ZXN0MjQ2MzkxNTk3 | 24,866 | BUG: Ensure .astype doesn't use PandasArray | {
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```python
In [8]: ser = pd.Series([1, 2])
In [9]: ser.astype(ser.array.dtype)._data.blocks[0]
Out[9]: ExtensionBlock: 2 dtype: int64
```
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For example:
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xref https://github.com/pandas-dev/pandas/pull/24812#discussion_r248666576
while changing pytest.raises to use the context manager and check the error message it appeared that a test was not raising exceptions as originally intended.
the test was related to a legacy numpy related issue #3414 | {
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Fix a couple of typos while we're at... | {
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... | closed | false | null | [] | null | 3 | 2019-01-21T21:58:49Z | 2019-01-24T16:48:55Z | 2019-01-24T16:48:55Z | CONTRIBUTOR | null | #### Problem description
The new type `IntervalArray` is in the API reference, but is not mentioned in What's New in the docs for v0.24.0rc1 . The existence of the new type is probably something people would like to know about.
http://pandas.pydata.org/pandas-docs/version/0.24.0rc1/api/arrays.html#interval-data ... | {
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] | closed | false | null | [] | null | 6 | 2019-01-21T23:24:09Z | 2019-01-27T22:04:23Z | 2019-01-27T22:04:22Z | MEMBER | null | - [ ] closes #24867
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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I claim that this is another point in favor of not using fixtures if there is a regular-python alternative (in this case, a "function"). Whenever with-fixture behavior is different from without-fixt... | {
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Appeared that like `dtype` was simply not being passed into `arrays_to_mgr` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24875 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24875/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24875/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24875/events | https://github.com/pandas-dev/pandas/pull/24875 | 401,677,908 | MDExOlB1bGxSZXF1ZXN0MjQ2NTM2OTA4 | 24,875 | REF/CLN: Move private method | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24876 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24876/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24876/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24876/events | https://github.com/pandas-dev/pandas/issues/24876 | 401,689,016 | MDU6SXNzdWU0MDE2ODkwMTY= | 24,876 | ImportError: No module named 'pandas.core.internals.managers'; 'pandas.core.internals' is not a package | {
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##### Machine1 with pandas 0.24.0rc1
```python
import pandas as pd
import pickle
df = pd.DataFrame()
with open('/path/to/file.pkl', 'wb') as f:
f.write(pickle.dumps(df))
```
##### Machine2 with pandas 0.23.4
```python
import pickle
with open('/path/to/file.pkl', 'rb') as f:
df = pic... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24877 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24877/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24877/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24877/events | https://github.com/pandas-dev/pandas/issues/24877 | 401,765,676 | MDU6SXNzdWU0MDE3NjU2NzY= | 24,877 | API: ExtensionArray.astype to only return extension arrays ? | {
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The question being posed here is what the *return type* of `ExtensionArray.astype(..)` shoul... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24878 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24878/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24878/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24878/events | https://github.com/pandas-dev/pandas/issues/24878 | 401,918,392 | MDU6SXNzdWU0MDE5MTgzOTI= | 24,878 | Adding a column via `assign` or `__setitem__` on an empty DataFrame changes index type, removes index name | {
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```python
import pandas as pd
d = pd.DataFrame(dict(a=[]), index=pd.Series([], name='my_index'))
d2 = d.assign(b=[])
d.index
# Float64Index([], dtype='float64', name='my_index')
d2.index
# RangeIndex(start=0, stop=0, step=1)
d['b'] = []
d.index
... | {
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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/24880 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24880/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24880/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24880/events | https://github.com/pandas-dev/pandas/issues/24880 | 402,190,189 | MDU6SXNzdWU0MDIxOTAxODk= | 24,880 | `observed` keyword for SeriesGroupBy Ignored | {
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```python
import pandas as pd
df = pd.DataFrame({... | {
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```python
df.hist(normed=True)
```
This falls in line with the old matplotlib style. However the new matplotlib style has deprecated `normed` and replaced it with `d... | {
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Closes #24870 | {
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```python
# Your code here
Scenario 1:
df2=pd.DataFrame({'a1':[10,20]})
df2.eval("c=((a1>10) & True )")
Out[8]:
a1 c
0 10 False
1 20 True
Scenario 2:
df2=pd.DataFrame({'a1':['Y','N']})
df2.eval("c=((a1 == 'Y') & True )")
Traceback (m... | {
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I am using the Pandas version 0.23.4.
When I call pandas.io.formats.style.Styler.clear(), it gives the error: "AttributeError: module 'pandas.io.formats' has no attribute 'style'".
However, I co... | {
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broken off of #24873. | {
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re-use of fixtures through indirect parametrization.
a hierarchy of fixtures to ultimately create a dataframe fixture containing 16 dataframes of combinations of named and unnamed, single level and multi index independently on the row and colu... | {
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"followers_url": "https://api.github... | 2 | 2019-01-23T20:51:12Z | 2019-01-23T21:37:20Z | 2019-01-23T21:37:15Z | CONTRIBUTOR | null | * Fixed heading on whatnew
* Remove empty scalars.rst
If you look at http://pandas-docs.github.io/pandas-docs-travis/whatsnew/v0.24.0.html, you'll see that the TOC-tree is messed up. It includes every "level-3" header, since the highlights aren't nested under a "level-2" header. | {
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```python
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))
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You can see the changes here: https://datapythonista.github.io/pandas-doc-preview/
Pages moved:
- comparison_with_whatever -> getting_started/comparison/comparison_with_whatever
- ecosystem -> getting_started/ecosystem
- cookbook -> user_guide/cookbook
- rpy2 has been removed
Changes to t... | {
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```python
import pandas as pd
pd.infer_freq(pd.to_datetime(pd.Series(['2018-10-03', '2018-11-03', '2018-12-03'])))
```
#### Problem description
I'm using pandas.infer_freq to infer the frequency of a time series. This works fine when the frequency is daily... | {
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```python
import pandas as pd
# generate two Series randomly
t1=pd.Series([1.2,2.2,3.0,4,8],index=pd.date_range(start='2015-5-14 00:00:00',end='2015-5-14 00:04:00',freq='T'))
t2=pd.Series([6.5,7.2,8.1,9],index=pd.date_range(start='2015-5-15 00:00:00',end='2... | {
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Code
```
df = pd.DataFrame({'State':['Texas', 'Texas', 'Florida', 'Florida'],
'a':[4,5,1,3], 'b':[6,10,3,11]},index=['one','two','three','four'])
pd.pivot_table(df,index='State',margins=True)
```
Output
```
a b
State
Florida 2.00 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24894 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24894/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24894/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24894/events | https://github.com/pandas-dev/pandas/pull/24894 | 402,573,486 | MDExOlB1bGxSZXF1ZXN0MjQ3MjI1MjY4 | 24,894 | CLN: fix typo in ctors.SeriesDtypesConstructors setup | {
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"followers_url": "https://api.github... | 3 | 2019-01-24T07:19:39Z | 2019-01-24T12:44:55Z | 2019-01-24T12:44:55Z | CONTRIBUTOR | null | Our benchmark for creating an `Index` from an array of floats does so from a **2-d** array, seemingly dating from when this benchmark tested `DataFrame` creation (see https://github.com/pandas-dev/pandas/commit/04db779d4c93d286bb0ab87780a85d50ec490266#diff-408a9d5de471447a365854703ca1856dL22).
Changing this to a 1-d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24895 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24895/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24895/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24895/events | https://github.com/pandas-dev/pandas/pull/24895 | 402,594,026 | MDExOlB1bGxSZXF1ZXN0MjQ3MjQwODQ0 | 24,895 | BUG: support dtypes in column_dtypes for to_records() | {
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"followers_url": "https://api.github.com/users/j... | 12 | 2019-01-24T08:31:56Z | 2019-01-30T22:50:27Z | 2019-01-30T22:29:35Z | CONTRIBUTOR | null | Despite the name, the `column_dtypes` param in `DataFrame.to_records()` doesn't accept `np.dtype` objects:
```
In [3]: df = pd.DataFrame([[0, 1], [2, 3]])
In [4]: df.to_records(column_dtypes=df.dtypes)
---------------------------------------------------------------------------
ValueError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24896 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24896/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24896/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24896/events | https://github.com/pandas-dev/pandas/issues/24896 | 402,597,889 | MDU6SXNzdWU0MDI1OTc4ODk= | 24,896 | pd.DataFrame(dict) Same value in json different result | {
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] | closed | false | null | [] | null | 2 | 2019-01-24T08:43:11Z | 2019-01-29T17:36:56Z | 2019-01-29T17:36:56Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
test = {
'3': '{"apparentTemperature":{"1482854400000":null,"1482858000000":null,"1482861600000":null,"1482865200000":null,"1482868800000":null,"1482872400000":null,"1482876000000":null,"1482879600000":null,"1482883200000":null,"... | {
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"followers_url": "https://api.github... | 3 | 2019-01-24T08:44:01Z | 2019-01-26T18:11:05Z | 2019-01-24T16:45:06Z | MEMBER | null | GeoPandas tests started failing, and this is due to a regression in the merge functionality:
```
In [13]: left = pd.DataFrame({'a': [1, 2, 3], 'key': [0, 1, 1]})
In ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24898 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24898/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24898/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24898/events | https://github.com/pandas-dev/pandas/issues/24898 | 402,598,234 | MDU6SXNzdWU0MDI1OTgyMzQ= | 24,898 | read_sql had got stuck | {
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---------------------------------
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.6.final.0
python-bits: 6... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24899 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24899/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24899/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24899/events | https://github.com/pandas-dev/pandas/pull/24899 | 402,621,516 | MDExOlB1bGxSZXF1ZXN0MjQ3MjYxNTAx | 24,899 | [WIP] Excel table output | {
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] | closed | false | null | [] | null | 10 | 2019-01-24T09:45:33Z | 2019-08-24T08:02:00Z | 2019-08-24T08:02:00Z | CONTRIBUTOR | null | - [x] closes #24862
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This PR should allow writing excel table objects. Proof of concept implemented for XlsxWriter and OpenPyXL. Exactly which options of the `to_excel` api should be supported is up... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24900 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24900/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24900/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24900/events | https://github.com/pandas-dev/pandas/issues/24900 | 402,628,056 | MDU6SXNzdWU0MDI2MjgwNTY= | 24,900 | pandas.DataFrame.rolling should accept Timedelta not DateOffset | {
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```python
import pandas as pd
index=pd.date_range("2019-01-01-05:00:00", freq="B", periods=10)
x = pd.Series(1., index)
dt = Timedelta("2D")
x.rolling(dt).sum()
2001-01-01 1.0
2001-01-02 2.0
2001-01-03 2.0
2001-01-04 2.0
2001-01-05 2.0
2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24901/events | https://github.com/pandas-dev/pandas/issues/24901 | 402,676,080 | MDU6SXNzdWU0MDI2NzYwODA= | 24,901 | File saved with different user on Linux | {
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```python
import dataframe ... then ..
dataframe.to_excel('path_to_save.xlsx')
# Your code here
```
#### Problem description
I'm executing an easy **foo.py** script containing 1 simple function.
1) Read a xlsx file, via pd.read_excel
2) Save it ag... | {
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"followers_url": "https://api.github... | 0 | 2019-01-24T13:26:50Z | 2019-01-25T12:02:22Z | 2019-01-24T14:44:12Z | CONTRIBUTOR | null | Closes https://github.com/pandas-dev/pandas/issues/24727 | {
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"followers_url": "https://api.github.com/users/jreback/followers",... | 8 | 2019-01-24T13:47:41Z | 2021-10-16T15:36:13Z | 2021-10-16T15:36:13Z | NONE | null | ```python
In [1]: pd.DataFrame(dict(a=[1, 1, 2, 2], b=["", "", "", ""])).groupby("b").apply(lambda df: df.iloc[-1])
Out[1]:
3 a b
b
2
In [2]: pd.DataFrame(dict(a=[1, 1, 2, 2], b=["", "", "", ""], c=pd.to_datetime([1, 2, 3, 4], unit="s"))).groupby("b").apply(lambda df: df.iloc[-1])
Out[2]:
3 a ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24904/events | https://github.com/pandas-dev/pandas/pull/24904 | 402,725,943 | MDExOlB1bGxSZXF1ZXN0MjQ3MzQzNTk0 | 24,904 | Revert BUG-24212 fix usage of Index.take in pd.merge | {
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"followers_url": "https://api.github... | 3 | 2019-01-24T14:14:05Z | 2019-01-25T12:02:29Z | 2019-01-24T16:45:07Z | CONTRIBUTOR | null | xref https://github.com/pandas-dev/pandas/pull/24733/
closes https://github.com/pandas-dev/pandas/issues/24897
reopens https://github.com/pandas-dev/pandas/issues/24212
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https://api.github.com/repos/pandas-dev/pandas/issues/24905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24905/events | https://github.com/pandas-dev/pandas/pull/24905 | 402,729,574 | MDExOlB1bGxSZXF1ZXN0MjQ3MzQ2NDUz | 24,905 | BUG (output formatting): use fixed with for truncation column instead of inferring from last column | {
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"followers_url": "https://api.github... | 4 | 2019-01-24T14:22:18Z | 2019-01-24T15:25:35Z | 2019-01-24T15:25:30Z | MEMBER | null | Fixes https://github.com/pandas-dev/pandas/issues/24849
We were using the last column to infer the width of the truncation column (= the column with all the `...` if not all columns are shown). This gives wrong results in case the last column is very wide, and since the content of this columns is always fixed to `..... | {
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"followers_url": "https://api.github... | 12 | 2019-01-24T15:48:13Z | 2019-01-24T19:16:08Z | 2019-01-24T19:01:24Z | CONTRIBUTOR | null | Closes https://github.com/pandas-dev/pandas/issues/24752
xref https://github.com/pandas-dev/pandas/commit/fe696e453b9236b226a0656028be43b4706ce1a1#diff-12444145caa7d0c14da51377a05e46d6 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24908 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24908/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24908/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24908/events | https://github.com/pandas-dev/pandas/issues/24908 | 402,796,005 | MDU6SXNzdWU0MDI3OTYwMDU= | 24,908 | to_dict doesn't convert np.int64 to python integers (second try) | {
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```python
# Your code here
import pandas as pd
data = [{'id': 11, 'text': 'Osv1wbZoL'},
{'id': 0, 'text': 'KQpPReW3S9nZOS3'},
{'id': 0, 'text': 'cbqLhjrb0B2Ah6E'},
{'id': 3, 'text': 'qu1Jlnyba'},
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry | {
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```python
import pandas as pd
pd.to_numeric([-47393996303418497800, 'string'], errors='coerce')
```
Output:
array([-47393996303418497800, 'string'], dtype=object)
#### Problem description
to_numeric is silently not coercing 'string' to nan.
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https://api.github.com/repos/pandas-dev/pandas/issues/24911 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24911/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24911/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24911/events | https://github.com/pandas-dev/pandas/pull/24911 | 402,834,524 | MDExOlB1bGxSZXF1ZXN0MjQ3NDI4ODc3 | 24,911 | DOC: some 0.24.0 whatsnew clean-up | {
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"followers_url": "https://api.github... | 2 | 2019-01-24T18:16:39Z | 2019-01-25T08:45:40Z | 2019-01-25T08:45:36Z | MEMBER | null | Did some proofreading on the train
cc @TomAugspurger | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24912/events | https://github.com/pandas-dev/pandas/pull/24912 | 402,852,498 | MDExOlB1bGxSZXF1ZXN0MjQ3NDQyNjQ2 | 24,912 | API/VIS: remove misc plotting methods from plot accessor (revert #23811) | {
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"followers_url": "https://api.github... | 8 | 2019-01-24T19:05:41Z | 2019-01-25T07:20:35Z | 2019-01-25T07:10:40Z | MEMBER | null | To be clear: I am opening this for discussion, but directly as a PR instead of an issue so it is easier to merge it in case we agree.
https://github.com/pandas-dev/pandas/pull/23811 added the misc plotting methods (like 'andrew_curves', 'parallel_coordinates', .. see http://pandas.pydata.org/pandas-docs/stable/visua... | {
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