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https://api.github.com/repos/pandas-dev/pandas/issues/19810 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19810/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19810/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19810/events | https://github.com/pandas-dev/pandas/issues/19810 | 298,914,311 | MDU6SXNzdWUyOTg5MTQzMTE= | 19,810 | NameError: name '_converter' is not defined | {
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```python
import pandas
d = pandas.DataFrame({"lat": [-6.081690, -5.207080], "lon": [145.789001, 145.391998]})
d.plot(kind='scatter', x='lat', y='lon')
```
#### Problem description
```
NameError Traceback (most recent call... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19812 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19812/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19812/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19812/events | https://github.com/pandas-dev/pandas/issues/19812 | 298,934,995 | MDU6SXNzdWUyOTg5MzQ5OTU= | 19,812 | Index formatting in online reference | {
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"followers_url": "https://api.github.com/users/jorisva... | 5 | 2018-02-21T11:31:39Z | 2021-04-10T15:27:08Z | 2021-04-10T15:27:03Z | NONE | null | The tree index for the online reference is wrongly formatted on the page: as the tree column is not wide enough, most text in lists is split in multiple lines.
As it is, it is very difficult to find something scrolling along the tree.
This is a issue for both the latest Firefox (58.0) and Chrome (64.0).
Is it po... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19813/events | https://github.com/pandas-dev/pandas/issues/19813 | 298,979,437 | MDU6SXNzdWUyOTg5Nzk0Mzc= | 19,813 | sum of a column of an empty dataframe | {
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"color": "006... | closed | false | null | [] | null | 4 | 2018-02-21T13:56:44Z | 2018-07-06T22:51:32Z | 2018-07-06T22:51:32Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas
# The following gives (0.0, False)
print(pandas.Series([]).sum(), pandas.DataFrame(columns=['col1'])['col1'].sum())
```
#### Problem description
In pandas 0.22, the sum of a column of an empty dataframe is Fal... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19814/events | https://github.com/pandas-dev/pandas/issues/19814 | 299,008,303 | MDU6SXNzdWUyOTkwMDgzMDM= | 19,814 | 32bit with recent matplotlib 2.1.1 MemoryError: In draw_markers: Out of memory | {
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While building pandas packages for Debians, where we set matplotlib's backend to Agg, I ran into this failure:
```
=================================== FAILURES ===================================
____________________ TestSeriesPlots.test_valid_object_plot ______... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19815/events | https://github.com/pandas-dev/pandas/issues/19815 | 299,016,117 | MDU6SXNzdWUyOTkwMTYxMTc= | 19,815 | Doc build leaves behind a test.json file | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2018-02-21T15:33:32Z | 2018-02-25T16:17:11Z | 2018-02-25T16:17:11Z | CONTRIBUTOR | null | I think from https://github.com/pandas-dev/pandas/blob/aa59954a217c8f856bb0980265520d37b85a80af/doc/source/whatsnew/v0.23.0.txt#L220.
It should be removed in a hidden ipython block afterwards.
```
.. ipython:: python
:suppress:
import os
os.remove('test.json')
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https://api.github.com/repos/pandas-dev/pandas/issues/19816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19816/events | https://github.com/pandas-dev/pandas/issues/19816 | 299,044,623 | MDU6SXNzdWUyOTkwNDQ2MjM= | 19,816 | TST: Use Skipif Decorators in 'test_excel.py' | {
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The _skip_if_no_* methods in test_excel.py could all be replaced with the skip_if_no decorator that was introduced in #18765
```python
import pandas.util._test_decorators as td
@td.skip_if_no('xlwt')
def foo(self):
...
@td.skip_if_no('xlrd', min_version='0.9')
def bar(self):
...
```
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-02-21T16:57:49Z | 2018-02-22T02:20:06Z | 2018-02-22T02:20:06Z | CONTRIBUTOR | null | In the [API documentation for `df.to_stata()`](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_stata.html), a parameter `dataset_label` is listed to give the Stata file a label, however the Pandas API [actually uses the parameter `data_label`](https://github.com/pandas-dev/pandas/blob/master/... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-02-21T17:04:17Z | 2018-02-22T02:20:09Z | 2018-02-22T02:20:06Z | CONTRIBUTOR | null | Updates the docstring for the `to_stata()` method to fix the `dataset_label` parameter. See #19817. Also changes the examples; it's a little weird for the examples for `to_stata()` to detail the `StataWriter` class.
- [ ] closes #19817
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19819/events | https://github.com/pandas-dev/pandas/pull/19819 | 299,066,179 | MDExOlB1bGxSZXF1ZXN0MTcwNTQyMzU2 | 19,819 | fix Timedelta.__mul__(NaT) | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/19821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19821/events | https://github.com/pandas-dev/pandas/issues/19821 | 299,089,826 | MDU6SXNzdWUyOTkwODk4MjY= | 19,821 | read_json should support usecols option (or hook for arbitrary transformation after each line is read) | {
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```python
import pandas as pd
pd.read_json(path_to_big_file, lines=True, usecols=some_subset_of_cols)
```
#### Problem description
The `read_csv` function's `usecols` argument is very helpful in reading a subset of columns from a very large file. Unfortu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19822/events | https://github.com/pandas-dev/pandas/issues/19822 | 299,092,443 | MDU6SXNzdWUyOTkwOTI0NDM= | 19,822 | Subclassing is lost when using DataFrame.apply | {
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```python
import pandas as pd
# Define a subclass of Series
class ExtendedSeries( pd.Series ):
@property
def _constructor(self):
return ExtendedSeries
# Define a subclass of DataFrame that slices into the ExtendedSeries class
class Ext... | {
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"followers_url": "https://api.github.com/users/j... | 8 | 2018-02-21T19:14:17Z | 2018-02-24T15:10:37Z | 2018-02-24T15:10:35Z | CONTRIBUTOR | null | When generating new objects on apply, it calls `self.obj._constructor` and `self.obj._constructior_sliced` instead of: `DataFrame` and `Series`; keeping subclassing.
- [x] closes #19822
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] keeps subclass inside `Da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19824/events | https://github.com/pandas-dev/pandas/issues/19824 | 299,111,131 | MDU6SXNzdWUyOTkxMTExMzE= | 19,824 | Provide styling option to escape dollar signs | {
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```python
import pandas as pd
df=pd.DataFrame({'A':['From $200 million to $700 million','$20+']})
df
```
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-02-21T20:39:56Z | 2018-03-23T19:37:42Z | 2018-03-23T19:24:39Z | CONTRIBUTOR | null | Anaconda owns the `pandas-test` S3 bucket that we use for some of our tests. They're doing some spring cleaning, and would like to remove this bucket sometime next week.
We'll need to make sure that all of our tests are mocked.
From what I can tell, `pandas/tests/io/parser/test_network::TestS3` is not mocked.
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There will be some code de-duplication we can do if/when #19744 goes through.
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```
>>> import pandas as pd
>>> df = pd.read_csv("example.csv")
>>> df.head()
just a file
0 1 2 3
1 4 5 6
2 7 8 9
>>> with open("someother.csv", "wb") as f:
... df.to_csv(f, mode="wb")
...
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https://api.github.com/repos/pandas-dev/pandas/issues/19828 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19828/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19828/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19828/events | https://github.com/pandas-dev/pandas/pull/19828 | 299,136,544 | MDExOlB1bGxSZXF1ZXN0MTcwNTk0Mzkx | 19,828 | make ops.add_foo take just class | {
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Also small cleanup for Sparse ops.
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https://api.github.com/repos/pandas-dev/pandas/issues/19829 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19829/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19829/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19829/events | https://github.com/pandas-dev/pandas/pull/19829 | 299,136,639 | MDExOlB1bGxSZXF1ZXN0MTcwNTk0NDY1 | 19,829 | Test Decorators and Better Pytest Integration in 'test_excel' | {
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Once I started looking at it, it made sense to make the module more "pytest compatible". There was a lot of skipping being done imperatively that seemed better suited to using ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19830 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19830/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19830/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19830/events | https://github.com/pandas-dev/pandas/pull/19830 | 299,146,252 | MDExOlB1bGxSZXF1ZXN0MTcwNjAxNTA2 | 19,830 | ENH: Let initialisation from dicts use insertion order for python >= 3.6 (part I) | {
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This PR prepares pandas to allow initialisation using insertion order for python>=3.6. E.g. ``Series({'B': 1, 'A': 2})`` will then retain order and not convert to ``Series({'A': 2, 'B': 1})``.
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"followers_url": "https://api.github... | 10 | 2018-02-21T22:38:08Z | 2018-11-01T00:38:26Z | 2018-11-01T00:38:03Z | CONTRIBUTOR | null | ### What's this PR do?
Fixes the output of to_csv to show the value instead of the tuple when a ``DataFrame`` or ``Series`` is constructed using a ``MultiIndex`` with one level. Although, I'm not sure if it's more desirable to require a MultiIndex to be instantiated with more than one level in the future.
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https://api.github.com/repos/pandas-dev/pandas/issues/19832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19832/events | https://github.com/pandas-dev/pandas/pull/19832 | 299,173,231 | MDExOlB1bGxSZXF1ZXN0MTcwNjIxNTgx | 19,832 | DOC: correct Series.reset_index example | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19833/events | https://github.com/pandas-dev/pandas/pull/19833 | 299,186,893 | MDExOlB1bGxSZXF1ZXN0MTcwNjMxODE5 | 19,833 | BUG: Fix qcut with NaT present | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19834/events | https://github.com/pandas-dev/pandas/pull/19834 | 299,200,708 | MDExOlB1bGxSZXF1ZXN0MTcwNjQxOTcw | 19,834 | Continue porting period_helper; fix leftover asfreq bug | {
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Other than that, the main thing this does is substitute in `ORD_OFFSET = WEEK_OFFSET * 7 + 4` and `BDAY_OFFS... | {
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Re-order `__add__` and `__sub__` if/else branches to put scalars up front.
This was going to include fixes for DTI/TDI with ndarray[timedelta64]/ndarray[datetime64], but the diff got big enough to split that off to the next one. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19836/events | https://github.com/pandas-dev/pandas/pull/19836 | 299,236,493 | MDExOlB1bGxSZXF1ZXN0MTcwNjY3MDgx | 19,836 | DOC: correct min_count param docstring | {
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- [ ] closes #xxxx
- [ ] 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/19837 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19837/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19837/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19837/events | https://github.com/pandas-dev/pandas/pull/19837 | 299,302,741 | MDExOlB1bGxSZXF1ZXN0MTcwNzEzNDkx | 19,837 | DOC: remove deprecated from_items from dsintro docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19838 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19838/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19838/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19838/events | https://github.com/pandas-dev/pandas/issues/19838 | 299,322,346 | MDU6SXNzdWUyOTkzMjIzNDY= | 19,838 | DOC: Lint doc/source/conf.py | {
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We should review `conf.py` to follow PEP-8 and add it to lint. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19839 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19839/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19839/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19839/events | https://github.com/pandas-dev/pandas/pull/19839 | 299,322,940 | MDExOlB1bGxSZXF1ZXN0MTcwNzI4NTM0 | 19,839 | DOC: Making doc/source/conf.py pass PEP-8, and added to lint | {
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- [ ] tests added / passed
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- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/19840 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19840/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19840/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19840/events | https://github.com/pandas-dev/pandas/pull/19840 | 299,339,461 | MDExOlB1bGxSZXF1ZXN0MTcwNzQwMDE0 | 19,840 | DOC: script to build single docstring page | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19841 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19841/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19841/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19841/events | https://github.com/pandas-dev/pandas/pull/19841 | 299,341,251 | MDExOlB1bGxSZXF1ZXN0MTcwNzQxMTMy | 19,841 | CI: Align pep8speaks config with setup.cfg | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19842 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19842/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19842/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19842/events | https://github.com/pandas-dev/pandas/issues/19842 | 299,388,950 | MDU6SXNzdWUyOTkzODg5NTA= | 19,842 | Feature Request: read_excel sheet_name argument | {
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... | 13 | 2018-02-22T15:08:37Z | 2021-08-04T23:52:02Z | 2021-08-04T23:52:02Z | NONE | null | I would love to be able to only read in un-hidden sheets. this could be a new possible value that can be passed to the `sheet_name` argument.
alternatively, what would also solve my problem is some way to filter the columns (again, probably for `sheet_name`). ideally be able to use regex or string comparison to choo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19843 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19843/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19843/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19843/events | https://github.com/pandas-dev/pandas/issues/19843 | 299,393,182 | MDU6SXNzdWUyOTkzOTMxODI= | 19,843 | BUG: scalar assignment of a tz-aware is object dtype | {
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```
In [1]: df = pd.DataFrame({'A': [0, 1]})
In [3]: df['now'] = pd.Timestamp('20130101', tz='UTC')
In [4]: df
Out[4]:
A now
0 0 2013-01-01 00:00:00+00:00
1 1 2013-01-01 00:00:00+00:00
In [5]: df.dtypes
Out[5]:
A int64
now... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19844 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19844/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19844/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19844/events | https://github.com/pandas-dev/pandas/issues/19844 | 299,445,526 | MDU6SXNzdWUyOTk0NDU1MjY= | 19,844 | pd.to_datetime errors args cause inconsistent behavior wrt to timestamp limitations | {
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```python
df = pd.DataFrame({"date": ['10000101', '20180220']})
# Timestamp limitations correctly raise exception
pd.to_datetime(df.date, errors='raise')
...
OutOfBoundsDatetime: Out of bounds nanosecond timestamp: 1000-01-01 00:00:00
# Timestamp limitations correctly coerce to NaT
pd.to_... | {
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on http://pandas.pydata.org/pandas-docs/stable/install.html#installing-pandas
Please add:
> **Installing pandas with ActivePython**
> Installation instructions for ActivePython can be found [here](https://www.activestate.com/activepython/downloads).
Under "Installation," please edit th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19846 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19846/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19846/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19846/events | https://github.com/pandas-dev/pandas/pull/19846 | 299,490,341 | MDExOlB1bGxSZXF1ZXN0MTcwODUyNDUx | 19,846 | DOC: Make API reference intro section concise | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19847 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19847/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19847/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19847/events | https://github.com/pandas-dev/pandas/pull/19847 | 299,490,892 | MDExOlB1bGxSZXF1ZXN0MTcwODUyODM3 | 19,847 | Fix+test DTI/TDI/PI add/sub with ndarray[datetime64/timedelta64] | {
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- the tests are pretty redundant, can be parametrized more tightly once they are all OK.
- catching ndarray[datetime64] separately from DatetimeIndex is kind of weird, but for the moment necesarry. Once #19835 goes through and re-orders the catching, we'll be able to fix this. | {
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closes #9862
- [x] tests added / passed
- Added tests to check names on unions when Index has different values
- Fixed test for ranges with unions
- Added tests for all index types for corner cases for union, difference
- Added tests so that `index.intersection(empty_index)==index.difference(i... | {
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"f... | 5 | 2018-02-22T22:26:48Z | 2021-06-19T05:41:32Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Let's assume the following subclassing case:
```python
import pandas as pd
# Define a subclass of Series
class ExtendedSeries( pd.Series ):
_metadata = ['_reference']
def __init__( self, *args, **kwargs ):
reference = kwargs.pop('re... | {
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```python
# Your code here
df = pd.read_csv('package_infos.csv')
m = df.shape[0]
df['etags'] = pd.Series(dtype=str, index=range(m))
df['etags'][0] = "Hello world"
```
Download package_infos.csv from here: https://raw.githubusercontent.com/jamesqo/nuget_r... | {
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```python
df = pd.DataFrame({'c1': [1, 2, 3], 'c2': [3, 4, 5]})
df['c3'] = df['c1'] / df['c2']
df['c3'][0] = 0
```
I haven't tested with other arithmetic operators but I'm guessing it would happen for them as well. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19853 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19853/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19853/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19853/events | https://github.com/pandas-dev/pandas/issues/19853 | 299,557,849 | MDU6SXNzdWUyOTk1NTc4NDk= | 19,853 | BUG: invalid constrution of a Series with dtype=str | {
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pd.Series('', dtype=str, index=range(1000))
```
throws a `ValueError` with the following message:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\james\AppData\Local\Programs\Python\Python36-32\lib\site-packages\pandas\core\series.py", line 266, in __in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19854 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19854/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19854/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19854/events | https://github.com/pandas-dev/pandas/issues/19854 | 299,567,506 | MDU6SXNzdWUyOTk1Njc1MDY= | 19,854 | "ValueError: Can only compare identically-labeled Series objects" when order of indicies is different | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-02-23T01:18:42Z | 2018-02-23T01:53:01Z | 2018-02-23T01:52:36Z | NONE | null | I noticed that you cannot compare 2 `pd.Series` objects together when the orders aren't perfectly identical.
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https://api.github.com/repos/pandas-dev/pandas/issues/19855 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19855/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19855/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19855/events | https://github.com/pandas-dev/pandas/issues/19855 | 299,569,108 | MDU6SXNzdWUyOTk1NjkxMDg= | 19,855 | Pandas Series.ne operator returning unexpected result against two slices of same Series | {
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```
from pandas import Series
s = Series([1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
```
And I want to see how many times the numbers changes over the series, so I compare two slices ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19856 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19856/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19856/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19856/events | https://github.com/pandas-dev/pandas/pull/19856 | 299,604,200 | MDExOlB1bGxSZXF1ZXN0MTcwOTM2NTQ2 | 19,856 | ENH: Add option to disable MathJax (#19824). | {
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<img width="599" alt="screen shot 2018-02-24 at 7 36 50 am" src="https://user-images.githubusercontent.com/1804856/36632244-0c07bdac-1939-11e8-85eb-0c22d42991d1.png">
I'm hoping for a code review, to find out if this might be accepted. If so, I'll add the test... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19857 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19857/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19857/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19857/events | https://github.com/pandas-dev/pandas/pull/19857 | 299,613,303 | MDExOlB1bGxSZXF1ZXN0MTcwOTQyOTI1 | 19,857 | DOC: Updated links to 2 tutorials in tutorials.rst | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2018-02-23T06:36:49Z | 2018-02-24T16:31:18Z | 2018-02-24T16:31:13Z | CONTRIBUTOR | null | Two of the links to the [pandas-cookbook](https://github.com/jvns/pandas-cookbook) did not work for version `v0.2` of the documents. Now all links work. Where a version `v0.2` exists, it links to that version. In the remaining two cases, it now links to version `v0.1` instead of raising the `404: Page not found` error... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19858 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19858/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19858/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19858/events | https://github.com/pandas-dev/pandas/issues/19858 | 299,628,176 | MDU6SXNzdWUyOTk2MjgxNzY= | 19,858 | parquet docs clarification | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2018-02-23T08:01:38Z | 2018-02-23T11:04:36Z | 2018-02-23T10:50:33Z | CONTRIBUTOR | null | Would someone please clarify what is meant by the description for the `engine` arg to [`DataFrame.to_parquet`](https://pandas.pydata.org/pandas-docs/version/0.21/generated/pandas.DataFrame.to_parquet.html)?
```
engine : {‘auto’, ‘pyarrow’, ‘fastparquet’}, default ‘auto’
Parquet reader library to use. If ‘auto’, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19859 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19859/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19859/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19859/events | https://github.com/pandas-dev/pandas/pull/19859 | 299,634,715 | MDExOlB1bGxSZXF1ZXN0MTcwOTU4MDky | 19,859 | ENH: Let initialisation from dicts use insertion order for python >= 3.6 (part II) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This PR is the second part of the preparation for allowing initialisation using insertion order for python>=3.6. See cross-referenced issues for details.
After this PR all tests will pass... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19860 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19860/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19860/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19860/events | https://github.com/pandas-dev/pandas/issues/19860 | 299,637,177 | MDU6SXNzdWUyOTk2MzcxNzc= | 19,860 | BUG?: .at not working on object indexes containing some integers | {
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#### Problem description
Using the .at - Method on an Index which contains Integers as well as str/objects raises an Error. This used to be possible using the ``.get_value()``-Method. As ``.at`` is the designated successor (#15269) the same behaviour should be supported.
I also noticed that ``.get_v... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19861 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19861/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19861/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19861/events | https://github.com/pandas-dev/pandas/issues/19861 | 299,666,377 | MDU6SXNzdWUyOTk2NjYzNzc= | 19,861 | DataFrame.style.applymap: subset kwarg fails with MultiIndexSlice | {
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"followers_url": "https://api.github... | 2 | 2018-02-23T10:31:10Z | 2019-01-02T01:15:58Z | 2019-01-02T01:15:58Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
def color_negative_red(val):
"""
Takes a scalar and returns a string with
the css property `'color: red'` for negative
strings, black otherwise.
"""
color = 'red' if val < 0 else 'black'
retur... | {
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... | 18 | 2018-02-23T11:53:04Z | 2021-06-19T05:41:56Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df1 = pd.DataFrame(index=['a', 'b'], columns=['foo', 'muu'])
df1.index.name = "foo"
print(df1)
# create deep copy of df1 and change a value in the index
df2 = df1.copy(deep=True)
df2.index.name = "bar"
df2.index.values[0] = 'c' # changes both ... | {
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"followers_url": "https://api.github.com/users/j... | 11 | 2018-02-23T12:09:25Z | 2018-05-02T13:10:24Z | 2018-02-24T15:19:19Z | CONTRIBUTOR | null | Added the staticmethods
- assert_series_equal
- assert_frame_equal
to the base class. Useful for test cases like DecimalArray with NaNs,
since our assert_*_equal methods don't properly handle Decimal NaNs.
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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"d... | closed | false | null | [] | null | 3 | 2018-02-23T13:07:45Z | 2019-06-21T03:35:44Z | 2019-06-21T03:35:44Z | CONTRIBUTOR | null | Slowly progressing with more debian/ubuntu builds of 0.22.0 passing/being uploaded. Next one is a series of failed tests on this now elderly ubuntu which pass on newer ones:
```
=================================== FAILURES ===================================
_______________________ TestnanopsDataFrame.test_nansem __... | {
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... | 0 | 2018-02-23T13:13:36Z | 2021-06-19T05:42:55Z | null | MEMBER | null | As a follow-up to the changes in DataFrame.apply (https://github.com/pandas-dev/pandas/pull/18577), we should make sure `Series.apply` behaves consistently with that as well.
I think the default behaviour is OK (it already did what we now do by default for DataFrame: expand Series, keep lists or arrays as scalars, s... | {
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"color": "531... | closed | false | null | [] | null | 4 | 2018-02-23T13:16:04Z | 2021-06-19T05:53:00Z | 2021-06-19T05:53:00Z | CONTRIBUTOR | null | s390x is a big endian, so sometimes such failures (like the first one with the date) point to actual generic problems in the code which otherwise not tested... the end failure seems possibly to be something is copied without preserving the type correctly?
so thought to share:
```
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`df.col2` should =
```
a 0.50
b 0.75
```
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- [x] 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/19871 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19871/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19871/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19871/events | https://github.com/pandas-dev/pandas/pull/19871 | 299,794,402 | MDExOlB1bGxSZXF1ZXN0MTcxMDc1NTcx | 19,871 | templatize timedelta arith ops | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-02-23T17:45:06Z | 2018-06-22T03:29:14Z | 2018-02-24T16:38:23Z | MEMBER | null | Some Timedelta operations are constructed using `_binary_op_method_timedeltalike`, while a bunch of others re-implement shared logic. This PR is an attempt to get rid of the small differences in this shared logic so they can eventually use a single template.
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https://api.github.com/repos/pandas-dev/pandas/issues/19872 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19872/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19872/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19872/events | https://github.com/pandas-dev/pandas/issues/19872 | 299,830,851 | MDU6SXNzdWUyOTk4MzA4NTE= | 19,872 | BUG: cut and qcut do not retain timezone information | {
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"default": false,
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"id": 13098779,
"name": "Reshaping",
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Setup:
```
In [2]: s = pd.Series(pd.date_range('20180101', periods=3, tz='US/Eastern'))
In [3]: s
Out[3]:
0 2018-01-01 00:00:00-05:00
1 2018-01-02 00:00:00-05:00
2 2018-01-03 00:00:00-05:00
dtype: datetime64[ns, US/Eastern]
```
Timezone informat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19873 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19873/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19873/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19873/events | https://github.com/pandas-dev/pandas/issues/19873 | 299,873,527 | MDU6SXNzdWUyOTk4NzM1Mjc= | 19,873 | Series 'pct_change' with 'fill_method' broken | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2018-02-23T22:42:52Z | 2019-09-16T14:57:56Z | 2018-02-25T16:07:00Z | MEMBER | null | The `fill_method` argument for `pct_change` does not have any effect on the calculated result. To illustrate:
```python
>>> ser = pd.Series([np.nan, np.nan, 0, 2, 4, 6, np.nan, np.nan])
>>> ser.pct_change()
0 NaN
1 NaN
2 NaN
3 inf
4 1.000000
5 0.500000
6 NaN
7 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19875 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19875/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19875/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19875/events | https://github.com/pandas-dev/pandas/pull/19875 | 299,890,250 | MDExOlB1bGxSZXF1ZXN0MTcxMTQ2NjI2 | 19,875 | Fixed pct_change with 'fill_method' returning NaN instead of 0 | {
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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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Where whitelists consists of:
```
ans
behaviour
doubleclick
indicies
initialise
initialised
initialising
nd
resetted
splitted
thru
valu
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19877 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19877/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19877/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19877/events | https://github.com/pandas-dev/pandas/pull/19877 | 299,912,493 | MDExOlB1bGxSZXF1ZXN0MTcxMTYxODUz | 19,877 | pandas.read_csv tries to convert "NaN" even when specifying dtype argument #19644 | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-02-24T05:04:45Z | 2018-02-26T11:31:49Z | 2018-02-26T11:31:49Z | CONTRIBUTOR | null | When the user informs the dtype must be cast for the type defined by him.
More information: #19644
- [x] closes #19644
- [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/19878 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19878/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19878/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19878/events | https://github.com/pandas-dev/pandas/issues/19878 | 299,915,230 | MDU6SXNzdWUyOTk5MTUyMzA= | 19,878 | Feature Request: DataFrame.drop to use numpy indexing | {
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```python
df = pd.DataFrame( data = {'name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'],
'year': [2012, 2012, 2013, 2014, 2014],
'reports': [4, 24, 31, 2, 3]})
df
... | {
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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/19880 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19880/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19880/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19880/events | https://github.com/pandas-dev/pandas/pull/19880 | 299,925,616 | MDExOlB1bGxSZXF1ZXN0MTcxMTY5NDk0 | 19,880 | CLN: remove obsolete code in Categorical.fillna | {
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- [ ] closes #xxxx
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Deleted code and tested block of code associated with NaN that should be unreachable. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19881 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19881/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19881/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19881/events | https://github.com/pandas-dev/pandas/pull/19881 | 299,948,360 | MDExOlB1bGxSZXF1ZXN0MTcxMTgzMDAx | 19,881 | Include MultiIndex slice in non-reducing slices | {
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"followers_url": "https://api.github... | 14 | 2018-02-24T15:22:36Z | 2019-01-02T09:40:42Z | 2019-01-02T01:15:58Z | CONTRIBUTOR | null | Changes behaviour of user-passed IndexSlice to return DataFrame instead of
reducing to Series. MultiIndex slices are tuples so this explicitly checks type
and guards with braces.
This seems deceptively simple. WDYT?
- [x] closes #19861
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19883 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19883/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19883/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19883/events | https://github.com/pandas-dev/pandas/issues/19883 | 299,953,625 | MDU6SXNzdWUyOTk5NTM2MjU= | 19,883 | Deprecate Series._from_array ? | {
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This issue follows in the steps of #18213 and #19850.
As it is commented in #18213, `_from_array` has a single difference with the `Series` constructor, how it handles `SparseArray`s:
```python
# return a sparse series here
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https://api.github.com/repos/pandas-dev/pandas/issues/19884 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19884/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19884/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19884/events | https://github.com/pandas-dev/pandas/pull/19884 | 299,955,958 | MDExOlB1bGxSZXF1ZXN0MTcxMTg3NDcy | 19,884 | ENH: Let initialisation from dicts use insertion order for python >= 3.6 (part III) | {
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- [x] xref #19830 and #19859
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This PR lets pandas allow initialisation using insertion order for python>=3.6. E.g. ``Series({'B': 1, 'A': 2})`` will retain order and not convert to ``Series({'A': 2, ... | {
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the obvious `numpy` alternative:
```python
import numpy
import pandas
numpy.random.seed(123)
df = pandas.DataFrame((numpy.random.normal(0, 1, [10000, 2])), columns=['Value', 'Funny'])
%timeit method_2 = df.Value.expanding(0).apply(... | {
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```python
In [1]: from pandas.compat import StringIO
...: from pandas import read_csv
...: data = 'x,y\ntest,Reg\n\x00\x00\x00,Reg\nI,Swp\nI,Swp\n'
...: read_csv(StringIO(data), engine='c')
...:
Out[1]:
x y
0 test Reg
1 NaN Reg
2 I Swp
3 I Swp
In [2]... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Needed to add a new `nanos` argument to `convert_to_tsobject` arguments from `Timestamp.__new__` dispatches to this function (and `datetime.datetime` cannot take a nanosecond ar... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19890 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19890/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19890/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19890/events | https://github.com/pandas-dev/pandas/pull/19890 | 300,003,318 | MDExOlB1bGxSZXF1ZXN0MTcxMjE2MjAz | 19,890 | BUG: Retain timezone dtype with cut and qcut | {
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- [x] tests added / passed
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Timezone dtypes were getting lost as the `_preprocess_for_cut` function called `np.asarray` on all incomming data. I added an additional check that the input array is 1D as stat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19891 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19891/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19891/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19891/events | https://github.com/pandas-dev/pandas/issues/19891 | 300,004,671 | MDU6SXNzdWUzMDAwMDQ2NzE= | 19,891 | ENH: cut return bins should be Timestamp/Timedelta objects for datelike data | {
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In [1]: s = pd.Series(pd.date_range('20180101', periods=3))
In [2]: s
Out[2]:
0 2018-01-01
1 2018-01-02
2 2018-01-03
dtype: datetime64[ns]
In [3]: res, bins = pd.cut(s, 2, retbins=True)
In [4]: pd.cut(s, bins) # Bins do not "roundtrip"
ValueError: bins must be of datetime64 dtype
In [5]:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19892 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19892/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19892/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19892/events | https://github.com/pandas-dev/pandas/issues/19892 | 300,011,782 | MDU6SXNzdWUzMDAwMTE3ODI= | 19,892 | Dataframe.median and Dataframe.mean documentation | {
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```python
DataFrame.median(axis=None, skipna=None, level=None, numeric_only=None, **kwargs)
```
#### Issue:
**skipna** shows as **_None_** in the code above but in the pa... | {
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I opted to delete the function as it was private but leave the `Series.from_array` public access working and it... | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-02-25T21:18:02Z | 2018-02-25T21:31:26Z | 2018-02-25T21:21:52Z | NONE | null | Hi,
I am learning Python and pandas.
Is this an expected behavior ?
```
serie= pd.Series(['a b', 'a b', 'a b', 'a b', 'a b', 'a b'])
serie_splited =serie.str.split()
serie_splited = pd.Series.str.split(serie)
```
serie.str.split() works correctly.
and pd.Series.str.split(serie) gets an error :
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Adding a new script to check whether a docstring follows the defined standards or not. Also, without arguments, the script returns a report of all the functions and methods in th... | {
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```python
In []: df = pd.DataFrame([pd.to_timedelta(1, 'D')])
In []: df.to_excel('some_file.xls') # xlwt
.: pd.read_excel('some_file.xls')
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https://api.github.com/repos/pandas-dev/pandas/issues/19902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19902/events | https://github.com/pandas-dev/pandas/pull/19902 | 300,113,584 | MDExOlB1bGxSZXF1ZXN0MTcxMjg1NTAw | 19,902 | ENH: implement DatetimeLikeArray | {
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Also makes another step towards centralizing all of the wrapping of the add/sub ops at the end of `__add__` and `__sub__`.
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"following_url": "https://api.github.com/users/alimcmaster1/following{/other_use... | null | 5 | 2018-02-26T08:11:47Z | 2020-08-28T15:45:42Z | 2020-08-28T15:45:42Z | NONE | null | I would like to be able to specify the [named profile](http://boto3.readthedocs.io/en/latest/guide/configuration.html#shared-credentials-file) to use when uploading a dataframe as parquet file to S3. This feature seems to be missing. The work-around is to specify the default account as the the account I would like to u... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19905/events | https://github.com/pandas-dev/pandas/issues/19905 | 300,237,400 | MDU6SXNzdWUzMDAyMzc0MDA= | 19,905 | DataFrame.update silently does nothing when indices are of differing type | {
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] | open | false | null | [] | null | 3 | 2018-02-26T13:24:56Z | 2021-06-19T05:56:11Z | null | NONE | null | #### Code to reproduce
```import pandas as pd
import numpy as np
df_int = pd.DataFrame(
{'col': ['foo', 'bar', np.nan]},
index=[1,2,3]
)
df_obj = pd.DataFrame(
{'col': [np.nan, np.nan, 'baz']},
index=['1', '2', '3']
)
print(df_int)
print(df_obj)
# >>>
# col
# 1 foo
# 2 bar
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https://api.github.com/repos/pandas-dev/pandas/issues/19906 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19906/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19906/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19906/events | https://github.com/pandas-dev/pandas/issues/19906 | 300,254,400 | MDU6SXNzdWUzMDAyNTQ0MDA= | 19,906 | ExtensionArray constructor issue | {
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"name": "API Design",
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"followers_url": "https://api.github.com/users/j... | 13 | 2018-02-26T14:16:13Z | 2018-03-02T21:20:29Z | 2018-03-02T21:20:29Z | CONTRIBUTOR | null | I don't think that pandas should make any assumptions on how subclasses `__init__` method. Currently we assume that the first positional argument accepts an instance of the class or a sequence of the class's scalar type.
I'd rather break that into two distinct methods.
```python
@classmedthod
def from_extension... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19907 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19907/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19907/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19907/events | https://github.com/pandas-dev/pandas/pull/19907 | 300,296,456 | MDExOlB1bGxSZXF1ZXN0MTcxNDE3NzY4 | 19,907 | ENH: ExtensionArray.setitem | {
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Adds `ExtensionBlock.__setitem__`.
This is only tested for with `DecimalArray` and `Categorical`. Supporting something like `JSONArray` where the "scalar" elements are actual sequences runs into issues elsewhere in internals. Maybe someday we can support that... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19908 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19908/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19908/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19908/events | https://github.com/pandas-dev/pandas/pull/19908 | 300,297,739 | MDExOlB1bGxSZXF1ZXN0MTcxNDE4NzQ3 | 19,908 | DOC: update install.rst to include ActivePython distribution | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-02-26T16:09:02Z | 2018-03-02T12:50:40Z | 2018-03-02T11:33:50Z | CONTRIBUTOR | null | PR associated with [Issue #19845](https://github.com/pandas-dev/pandas/issues/19845#issuecomment-367879282): update Installation webpage to include ActivePython distribution
per @jreback
- [ ] closes #19845
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] ... | {
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This adds `ExtensionArray.fillna`, and support for `NDFrame.fillna` with extension arrays.
Like `Categorical.fillna`, `limit` is not implemented. This shouldn't make it any harder to support that in the future. | {
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