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https://api.github.com/repos/pandas-dev/pandas/issues/24913 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24913/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24913/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24913/events | https://github.com/pandas-dev/pandas/pull/24913 | 402,861,407 | MDExOlB1bGxSZXF1ZXN0MjQ3NDQ5NjI1 | 24,913 | CLN: reduce overhead in setup for categoricals benchmarks in asv | {
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- Use `pd.CategoricalIndex.from_codes()` instead of `pd.CategoricalIndex()`
- ~30s of the speedup comes from this
- Replace the dict of all cases with an `if`/`else` block to minimi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24914/events | https://github.com/pandas-dev/pandas/pull/24914 | 402,862,331 | MDExOlB1bGxSZXF1ZXN0MjQ3NDUwMzQ3 | 24,914 | TST/REF: collect DataFrame reduction tests | {
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Collect tests by method being tested. Collect all calls to assert_stat_op_api in one test (one test which can be usefully parametrized/fixturized in a follow-up), removing a ton of noise from other test function signatures. As a result, it becomes much easier to see place... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24915/events | https://github.com/pandas-dev/pandas/issues/24915 | 402,869,048 | MDU6SXNzdWU0MDI4NjkwNDg= | 24,915 | Cannot do agg if dataframe has column "name" | {
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```python
# Your code here
import pandas as pd
df = pd.DataFrame({"a": range(10)})
df.agg({"a": 'mean'}) # this line runs good
df["name"] = range(10)
df.agg({"a": 'mean'}) # now we have RuntimeError: maximum recursion depth exceeded
```
#### Problem d... | {
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"followers_url": "https://api.github.com/users/j... | 11 | 2019-01-24T21:28:14Z | 2019-01-30T16:58:45Z | 2019-01-26T14:58:08Z | CONTRIBUTOR | null | - [ ] closes #24897
- [x] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Use an extra take to ensure the `other_index` is arranged correctly for replacing values (in the original issue, the `other_index` would've taken from [0, 1, 2, 3] and be left u... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24917 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24917/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24917/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24917/events | https://github.com/pandas-dev/pandas/pull/24917 | 402,938,408 | MDExOlB1bGxSZXF1ZXN0MjQ3NTA5NTg1 | 24,917 | CLN: fix typo in asv benchmark of non_unique_sorted, which was not sorted | {
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"followers_url": "https://api.github... | 4 | 2019-01-24T23:18:46Z | 2019-01-25T02:50:37Z | 2019-01-25T02:26:45Z | CONTRIBUTOR | null | Our benchmark for sorted, non-unique indexes is not sorted. This PR sorts the test data, leading to significantly different benchmark results. Before:
```
[ 0.01%] ··· index_object.Indexing.time_get_loc_non_unique_sorted
... | {
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... | 7 | 2019-01-25T00:09:01Z | 2021-06-12T01:04:13Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randint(0,10, size=(9999, 2)), columns=['key', 'value'])
# df.value contains integers 2 and 4, does not contain strings '2', '4', or 'fart' or integer 11
# example A: this ret... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24919 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24919/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24919/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24919/events | https://github.com/pandas-dev/pandas/issues/24919 | 402,978,117 | MDU6SXNzdWU0MDI5NzgxMTc= | 24,919 | Please support indexing with 0 dim np.array in df.iloc. | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-01-25T02:23:57Z | 2019-02-20T10:28:44Z | 2019-02-20T10:28:44Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
The code below works correctly.
```python
df=pd.DataFrame([[1,2],[3,4]])
df.iloc[np.array([0])]
```
But the code below raises an error.
```python
df.iloc[np.array(0)]
```
```
TypeError: object of type 'numpy.int64' has no len()
``` | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Before creating a pd.Series and pass {name} as argument, check if {name} is hashable. If not use default None. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24921 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24921/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24921/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24921/events | https://github.com/pandas-dev/pandas/pull/24921 | 403,001,357 | MDExOlB1bGxSZXF1ZXN0MjQ3NTU2NjEw | 24,921 | Add tests for NaT when performing dt.to_period | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2019-01-25T04:28:37Z | 2019-01-26T14:50:54Z | 2019-01-26T14:50:50Z | CONTRIBUTOR | null |
@mroeschke Here is a test that tests the functionality discussed in the issue. Please let me know if it needs to be done differently and if more tests should be added.
- [x] closes #21205
- [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/24922 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24922/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24922/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24922/events | https://github.com/pandas-dev/pandas/issues/24922 | 403,004,414 | MDU6SXNzdWU0MDMwMDQ0MTQ= | 24,922 | Dataframe that is view and copy | {
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In [1]: import pandas as pd
In [2]: df = pd.DataFrame({'a': range(30), 'b': range(30})
In [3]: df2 = df[::2]
In [4]: df2.is_copy
Out[4]: <weakref at 0x7ffffb15e0c78; to 'DataFrama' at 0x7fffb16135c0>
In [5]: df2._is_view
Out[5]: True
In [6]: df2 += 2
In [7]: df2.iloc[0]
a 2
b 2
N... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24923/events | https://github.com/pandas-dev/pandas/issues/24923 | 403,016,634 | MDU6SXNzdWU0MDMwMTY2MzQ= | 24,923 | pivot_table very slow on Categorical data; how about an observed keyword argument? | {
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```python
In [1]: df = pd.DataFrame({'col1': list('abcde'), 'col2': list('fghij'), 'col3': [1, 2, 3, 4, 5]}) ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24924/events | https://github.com/pandas-dev/pandas/pull/24924 | 403,018,062 | MDExOlB1bGxSZXF1ZXN0MjQ3NTY4OTQ1 | 24,924 | ENH: indexing and __getitem__ of dataframe and series accept zerodim integer np.array as int | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
- Now the `df.iloc`, `df.loc`, `df.__getitem__` accepts zero dim integer numpy array, as follows:
```python
df.iloc[np.array(0)]
df.loc[np.array(0)]
df[np.array(0)]
```
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https://api.github.com/repos/pandas-dev/pandas/issues/24925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24925/events | https://github.com/pandas-dev/pandas/issues/24925 | 403,047,334 | MDU6SXNzdWU0MDMwNDczMzQ= | 24,925 | reading of old pandas dataframe (created in python 2) failed with 0.23.4 | {
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Firstly I have to apologize, that my description will be very vague.
I have a problem with one of my dataframe that was created earlier with python 2 and older version of pandas (unfortunately I do not know what version). Now I cannot open it in python 3 and pandas 0.23.4 (loading in python 3 with pandas 0.22... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24926/events | https://github.com/pandas-dev/pandas/pull/24926 | 403,136,344 | MDExOlB1bGxSZXF1ZXN0MjQ3NjU5MTE2 | 24,926 | API: Remove IntervalArray from top-level | {
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"followers_url": "https://api.github... | 6 | 2019-01-25T12:24:15Z | 2019-01-25T14:57:05Z | 2019-01-25T14:55:50Z | CONTRIBUTOR | null | cc @jschendel @jreback @jorisvandenbossche
Originally, we put IntervalArray in the top-level since it has the special alternative constructors. But it's a bit inconsistent with all our new arrays, so this is a proposal to remove it from the top-level and just have it in `pandas.arrays`. I don't think the extra typi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24927/events | https://github.com/pandas-dev/pandas/issues/24927 | 403,143,472 | MDU6SXNzdWU0MDMxNDM0NzI= | 24,927 | DOC: Update ecosystem.rst | {
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... | 2 | 2019-01-25T12:46:15Z | 2020-01-06T20:17:45Z | null | CONTRIBUTOR | null | Our ecosystem is kinda just a collection of libraries that work with pandas. It'd be good to curate that a bit more, to explain the other libraries in the ecosystem and how pandas releases to it. Possibly shorts examples, and recommendations of where to go when pandas isn't the right tool. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24928/events | https://github.com/pandas-dev/pandas/pull/24928 | 403,151,273 | MDExOlB1bGxSZXF1ZXN0MjQ3NjcwNjMy | 24,928 | DOC: Making home page links more compact and clearer | {
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Sharing in a minute a link so you can see this changes rendered.
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https://api.github.com/repos/pandas-dev/pandas/issues/24929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24929/events | https://github.com/pandas-dev/pandas/pull/24929 | 403,163,736 | MDExOlB1bGxSZXF1ZXN0MjQ3NjgwMzgw | 24,929 | DOC: Adding version to the whatsnew section in the home page | {
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Not so important, but looking at the home, feels quite weird to have the "What's New" section first thing in the toctree, without specifying what's new of in which version.
May be it's just me, feel free to dismiss this, but wanted to open as it's a trivial change, and IMO make... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24931/events | https://github.com/pandas-dev/pandas/issues/24931 | 403,175,969 | MDU6SXNzdWU0MDMxNzU5Njk= | 24,931 | IntervalIndex.get_loc doctest failing | {
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$ pytest --doctest-modules pandas/core/indexes/interval.py -k get_loc
========================================================================================================================================================================== test session starts ====================================================... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24932/events | https://github.com/pandas-dev/pandas/pull/24932 | 403,204,339 | MDExOlB1bGxSZXF1ZXN0MjQ3NzEyMTE4 | 24,932 | CLN: Refactor cython to use memory views | {
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1. Made cdef usage consistent (using a cdef block instead of multiple cdef modifier when possible)
2. Replaced type hints with cython type declaration in function signatures
3. Replaced ndarray with memory view in function signatures
4. Added the const modifier to memory v... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24933/events | https://github.com/pandas-dev/pandas/pull/24933 | 403,238,303 | MDExOlB1bGxSZXF1ZXN0MjQ3NzM4ODQ4 | 24,933 | DOC Minor what's new fix for v0.24 | {
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cc @TomAugspurger | {
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```python
import pandas as pd
match = ['a', 'a', 'a', 'b', 'b', 'b', 'c', 'c', 'c', 'c', 'd', 'd', 'd', 'e', 'e', 'e', 'e']
category = [3, 3, 3, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 2, 2, 2, 2]
player = ['bar', 'baz', 'chaz', 'baz', 'choo', 'chaz... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24935/events | https://github.com/pandas-dev/pandas/pull/24935 | 403,276,636 | MDExOlB1bGxSZXF1ZXN0MjQ3NzY5MDY2 | 24,935 | BUG: fix str.replace('.','') should replace every character | {
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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/24936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24936/events | https://github.com/pandas-dev/pandas/issues/24936 | 403,323,373 | MDU6SXNzdWU0MDMzMjMzNzM= | 24,936 | Pandas 0.24 - cannot install with python 3.6.8 | {
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```
UnsatisfiableError: The following specifications were found to be in conflict:
- pandas==0.24.0 -> python[version='>=2.7,<2.8.0a0'] -> openssl=1.0
- pandas==0.24.0 -> python[version='>=2.7,<2.8.0a0'] -> readline=6.2
- pandas==0.2... | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2019-01-25T20:50:38Z | 2019-01-28T22:23:56Z | 2019-01-26T14:49:31Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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] | closed | false | null | [] | null | 2 | 2019-01-25T22:09:35Z | 2019-01-25T23:44:43Z | 2019-01-25T23:44:43Z | NONE | null | #### Code Sample, a copy-pastable example if possible
See gist of code:
https://nbviewer.jupyter.org/gist/pybokeh/434e290a1af3636a3f84097e3aa45a72
#### Problem description
Get memory error - see gist above
#### Expected Output
Not get memory error
#### Output of ``pd.show_versions()``
<details>
I... | {
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```pytb
Python 3.6.7 | packaged by conda-forge | (default, Nov 21 2018, 03:09:43)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.2.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]: import pandas as pd ... | {
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```pytb
Python 3.6.7 | packaged by conda-forge | (default, Nov 21 2018, 03:09:43)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.2.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]: import pandas as pd ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24941 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24941/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24941/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24941/events | https://github.com/pandas-dev/pandas/pull/24941 | 403,376,635 | MDExOlB1bGxSZXF1ZXN0MjQ3ODQ2OTEx | 24,941 | DOC: switch headline whatsnew to 0.25 | {
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Not sure if the warning is still desired or necessary. I'm just thinking that "explicit is better than implicit".
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I kept most of the CI jobs that used to be 2.7 at the lower end of the various supported versions, with 2x 2.7->3.5, 1x 2.7->3.6 and only one real upgrade from 2.7->3.7 (first CI job for 3.7 & windows).
@jreback @TomAugspurger
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With `0.24.0` just released, what's the policy exactly for maintenance branches (e.g. `0.23.x`) i.e. how many do we keep (e.g. three major releases)? I ask because I see that we're still holding on to [0.19.x](https://github.com/pandas-dev/pandas/tree/0.19.x), which is 5 (!) major releases ... | {
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xref #24910.
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```
The first line of the Returns section should contain only the type, unless multiple values are being returned
```
which seems to happen when... | {
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] | closed | false | null | [] | null | 5 | 2019-01-26T11:00:54Z | 2019-01-27T09:25:41Z | 2019-01-26T22:55:12Z | CONTRIBUTOR | null | I know that there has been some discussion on whether an empty series should sum to 0 or NaN, and apparently by default this now sums to 0 (because `skipna=True`) or `nan` if `skipna=False`. This is consistent with R behavior.
Today I was a bit surprised to see something that may or may not be related to the sum beh... | {
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wrong location.
Moved a line from generic.py to frame.py to help with the rendering.
Moved the description being clubbed with see also to doc string with the
function declaration in frame.py
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@jbrockmendel if this is what you meant in the previous [PR](https://github.com/pandas-dev/pandas/pull/24932#discussion_r251094683) I'll do the refactoring for the rest of the functions in groupby_helper.pxi.in. | {
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* Warn about lossiness when passing really large numbers that exceed `(u)int64` ranges.
* Coerce negative numbers to float when requested instead of crashing and returning `object`.
* Consistently parse numbers as integers / floats, even if we know that the resulting c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24957 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24957/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24957/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24957/events | https://github.com/pandas-dev/pandas/issues/24957 | 403,499,764 | MDU6SXNzdWU0MDM0OTk3NjQ= | 24,957 | BUG: to_timedelta('NaT', box=False) returns datetime64('NaT') | {
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```
In [2]: pd.to_timedelta('NaT', box=False)
Out[2]: numpy.timedelta64('NaT','ns')
```
But on pandas 0.24:
```
In [2]: pd.to_timedelta('NaT', box=False)
Out[2]: numpy.datetime64('NaT')
```
The result is a datetime, not a timedelta. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24958 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24958/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24958/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24958/events | https://github.com/pandas-dev/pandas/pull/24958 | 403,499,904 | MDExOlB1bGxSZXF1ZXN0MjQ3OTIzNzU2 | 24,958 | CLN: isort asv_bench/benchmark/algorithms.py | {
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"followers_url": "https://api.github.com/users/j... | 8 | 2019-01-27T00:38:37Z | 2019-01-30T05:53:25Z | 2019-01-30T05:53:18Z | CONTRIBUTOR | null | - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
I deleted an empty line of code and removed the file from the isort skip list. Per issue #22947, made sure setup import was at the bottom of the file before committing. Small contribution but looking forward to contributing more!
Thanks everyone... | {
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```
# pandas 0.23.3
In [21]: pd.Index(['c', 'b', 'a']).intersection(['b', 'a'])
Out[21]: Index(['b', 'a'], dtype='object')
```
Now it does:
```
In [28]: pd.Index(['c', '... | {
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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/24962 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24962/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24962/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24962/events | https://github.com/pandas-dev/pandas/issues/24962 | 403,591,595 | MDU6SXNzdWU0MDM1OTE1OTU= | 24,962 | Need way to get original column order (read_csv, read_json) | {
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```python
# Your code here
```
#### Problem description
Applications sometimes need to be able to present and manipulate data in the column ordering found in the source data file (CSV or JSON). The column order in these files is significant to users in m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24963 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24963/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24963/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24963/events | https://github.com/pandas-dev/pandas/issues/24963 | 403,595,221 | MDU6SXNzdWU0MDM1OTUyMjE= | 24,963 | Matplotlib implicit converter registration not warning | {
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```python
import pandas as pd
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
s = pd.Series(range(12), index=pd.date_range('2017', periods=12))
ax.plot(s)
```
but it's apparently not warning for me. | {
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"followers_url": "https://api.github.com/users/jre... | 17 | 2019-01-27T21:31:00Z | 2019-05-31T11:11:50Z | 2019-01-29T12:23:33Z | CONTRIBUTOR | null | Reminder: We want people to explicitly call `pandas.plotting.register_matplotlib_converters()` when using a matplotlib plotting method with a pandas object. We implicitly call it as part of Series/Frame.plot.
```python
In [1]: import pandas as pd
In [2]: import matplotlib.pyplot as plt
In [3]: fig, ax = plt.sub... | {
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Closes https://github.com/pandas-dev/pandas/issues/24939
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https://api.github.com/repos/pandas-dev/pandas/issues/24968 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24968/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24968/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24968/events | https://github.com/pandas-dev/pandas/pull/24968 | 403,602,264 | MDExOlB1bGxSZXF1ZXN0MjQ3OTg1NDU0 | 24,968 | ENH: Expose symlog scaling in plotting API | {
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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/24969 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24969/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24969/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24969/events | https://github.com/pandas-dev/pandas/issues/24969 | 403,605,619 | MDU6SXNzdWU0MDM2MDU2MTk= | 24,969 | Regression in DataFrame.set_index with class instance column keys | {
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```python
import pandas as pd
class Thing:
# (Production code would also ensure a Thing instance's hash
# and equality testing depended on name and color)
def __init__(self, name, color):
self.nam... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24970 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24970/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24970/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24970/events | https://github.com/pandas-dev/pandas/issues/24970 | 403,606,364 | MDU6SXNzdWU0MDM2MDYzNjQ= | 24,970 | DOC: validate_docstrings.py should indicate the line numbers of PEP8 violations | {
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... | 4 | 2019-01-27T23:06:34Z | 2019-06-16T03:52:18Z | null | MEMBER | null | When checking docstrings the `/scripts/validate_docstrings.py` script tells which PEP8 violations have occurred in the examples, but not where. It would be helpful if the script also gave the line numbers of violations (as when running `flake8` from the command line). | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24971 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24971/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24971/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24971/events | https://github.com/pandas-dev/pandas/issues/24971 | 403,613,100 | MDU6SXNzdWU0MDM2MTMxMDA= | 24,971 | Categorical.replace returns unexpected dimensions for length 1 Series | {
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... | 3 | 2019-01-28T00:23:24Z | 2019-03-20T12:26:56Z | 2019-03-20T12:26:56Z | CONTRIBUTOR | null | The shapes and types of the first two are unexpected. Should they be? Just upgraded to pandas 0.24.0.
```python
pd.Series(pd.Categorical('A', categories=['A', 'B'])).replace({'A': 1, 'B': 2})
# Out[30]:
# 0 [1]
# dtype: object
pd.Series(pd.Categorical(('A', ), categories=['A', 'B'])).replace({'A': 1, 'B': ... | {
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```python
import pandas as pd
index = pd.DatetimeIndex([1478064900001000000, 1480037118776792000], tz='UTC').tz_convert('America/Chicago')
print(index)
df = pd.DataFrame([1, 2], index=index)
for d, data in df.groupby(pd.Grouper(freq='1d')):
pass... | {
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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/24974 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24974/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24974/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24974/events | https://github.com/pandas-dev/pandas/issues/24974 | 403,684,508 | MDU6SXNzdWU0MDM2ODQ1MDg= | 24,974 | bug - Pandas subplots loses data when sharex=True | {
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```python
% matplotlib inline
import pandas as pd
import numpy as np
import matplotlib.pyplot as plot
ds1 = pd.DataFrame({ "Q2" : [1,2,1,0,2,1,6,4,2,1,2,1,3,2,1,5,1,2,1],
"Q3" : [1,5,1,2,2,5,7,1,1,1,5,1,4,2,5,4,1,1,1]})
ds2 = pd.DataFrame({ "Q2" : [1,5,1,4,... | {
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... | closed | false | null | [] | null | 2 | 2019-01-28T08:49:53Z | 2020-03-12T04:57:17Z | 2020-03-12T04:57:17Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import datetime
import pandas as pd
df = pd.DataFrame({'date':[datetime.date(2011,1,3),datetime.date(2011,1,4)], 'val':[100,200], 'val1':[9,99] })
df1 = df.set_index('date')
df2 = df.set_index(['date', 'val'])
```
#### Problem description
When... | {
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```python
In [6]: pd.io.parquet.get_engine('auto')
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-6-77cb1d6c8933> in <module>
----> 1 pd.i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24979 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24979/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24979/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24979/events | https://github.com/pandas-dev/pandas/issues/24979 | 403,898,921 | MDU6SXNzdWU0MDM4OTg5MjE= | 24,979 | Rendering in Jupyter Lab issue for 0.24.0 | {
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"color": "207de... | closed | false | null | [] | null | 2 | 2019-01-28T16:31:10Z | 2019-01-30T20:09:33Z | 2019-01-30T20:09:33Z | NONE | null | After installing 0.24.0, I have seen the behavior screen-shot below across several of my existing Jupyter Lab notebooks, when trying to call `df.head()`. Along with the error message, it still renders a version of the dataframe, but not the nice formatting expected.
![image](https://user-images.githubusercontent.com... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24980 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24980/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24980/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24980/events | https://github.com/pandas-dev/pandas/issues/24980 | 403,902,048 | MDU6SXNzdWU0MDM5MDIwNDg= | 24,980 | Bug on .to_string(index=False) | {
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Related issue (very old though) #11833
```python
import pandas
print("pandas.__version__ == {:s}".format(pandas.__version__))
columns = ['name', 'age']
values = [
['name_one', '31'],
['name_two', '32']]
data_frame = pandas.DataFrame(values, co... | {
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The sentence should read: "In the apply step, we might wish to DO one of the following."
http://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html
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https://api.github.com/repos/pandas-dev/pandas/issues/24982 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24982/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24982/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24982/events | https://github.com/pandas-dev/pandas/issues/24982 | 403,924,878 | MDU6SXNzdWU0MDM5MjQ4Nzg= | 24,982 | RecursionError with using a list or tuple as 'other' in .where or .mask | {
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#### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
dat = pd.DataFrame([
{'a': 1, 'b': [2,3], 'c': [1,2,3]},
{'a': 10, 'b': None, 'c': None}
])
# All of these seem to cause the same error:
da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24984 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24984/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24984/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24984/events | https://github.com/pandas-dev/pandas/pull/24984 | 403,934,136 | MDExOlB1bGxSZXF1ZXN0MjQ4MjMxNjc5 | 24,984 | API/ERR: allow iterators in df.set_index & improve errors | {
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"followers_url": "https://api.github.com/users/j... | 61 | 2019-01-28T17:52:56Z | 2019-02-24T10:09:38Z | 2019-02-24T03:34:20Z | CONTRIBUTOR | null | - [x] closes the parts of #22484 (resp. those worth keeping) that were reverted in #25085 due to #24969 ~closes #24969~
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This is a quick fix for the regression - however, I think this should be immediately (i.e. 0.24.1) ... | {
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A run of `asv find` identified https://github.com/pandas-dev/pandas/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24986 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24986/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24986/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24986/events | https://github.com/pandas-dev/pandas/issues/24986 | 403,963,840 | MDU6SXNzdWU0MDM5NjM4NDA= | 24,986 | .memory_usage(deep=True) errors on some objects | {
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```python
import pandas as pd
pd.Series([(1,2), (3,4)]).memory_usage(deep=True)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/roy/ftpyenv/clean/lib/python3.7/site-packages/pandas/core/series.py", line 3913, in memor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24987 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24987/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24987/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24987/events | https://github.com/pandas-dev/pandas/issues/24987 | 403,974,384 | MDU6SXNzdWU0MDM5NzQzODQ= | 24,987 | 0.23.4 changed read_csv parsing for a mixed-timezone datetimes | {
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"followers_url": "https://api.github.com/users/jre... | 15 | 2019-01-28T19:38:17Z | 2019-03-19T13:48:35Z | 2019-01-29T12:22:40Z | CONTRIBUTOR | null | Previously, a column in a CSV with mixed timezones would (I think) convert each value to UTC and discard the tzinfo.
```python
import pandas as pd
import io
content = """\
Sat, 22 Apr 2017 15:11:58 -0500
Fri, 21 Apr 2017 14:20:57 -0500
Thu, 9 Mar 2017 11:15:30 -0600"""
df = pd.read_csv(io.StringIO(content... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24988 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24988/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24988/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24988/events | https://github.com/pandas-dev/pandas/issues/24988 | 404,058,481 | MDU6SXNzdWU0MDQwNTg0ODE= | 24,988 | Version 0.24.0 breaks read_sql compatibility with read_sql_query | {
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```python
import pandas as pd
from sqlalchemy import create_engine
engine = create_engine('mysql+pymysql://'+name+':'+pw+'@'+server+'/?charset=utf8')
sql = 'select * from MyDatabase.my_temp_table'
df = pd.read_sql_query(sql,engine)
```
The same statements now fail i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24989 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24989/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24989/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24989/events | https://github.com/pandas-dev/pandas/pull/24989 | 404,058,498 | MDExOlB1bGxSZXF1ZXN0MjQ4MzI3NTMx | 24,989 | DOC: Document breaking change to read_csv | {
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"followers_url": "https://api.github.com/users/jre... | 3 | 2019-01-28T23:47:59Z | 2019-01-29T12:22:46Z | 2019-01-29T12:22:40Z | CONTRIBUTOR | null | Closes https://github.com/pandas-dev/pandas/issues/24987 | {
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First, two `conda` environments:
```yml
name: pandas_timing_0_23
dependencies:
- python=3.7
- pandas=0.23
```
```yml
name: pandas_timing_0_24
dependencies:
- python=3.7
- pandas=0.24
```
Now, a generalized script testing all 8 combi... | {
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```python
import pandas as pd
df2 = pd.DataFrame({'a': [1], 'a b': [2]})
df2.to_dict(orient="records")
```
#### Problem description
If a dataframe header contains two fields that start with the same substring, followed by whitespace, the header is not use... | {
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Without utc=True:
```python
pd.to_datetime([
'2018-11-28T00:00:00',
'2018-11-28T00:00:00+12:00',
'2018-11-28T00:00:00',
'2018-11-28T00:00:00+06:00',
'2018-11-28T00:00:00'
])
```
Result:
```
Index([ 2018-11-28 00:00:00, 2... | {
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https://github.com/pandas-dev/pandas/commit/38e7413f3f650230eca75ab50580630838930c34
has the commit fixing the actual issue in #24986. That one was easy.
https://github.com/pandas-dev/pandas/commit/558cdbec47c9d9e7862a3d3c688fcf51260d367d is just moving the numpy... | {
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```python
import pandas as pd
index1 = pd.DataFrame(index=pd.to_datetime(['19900101'])).index
index2 = index1.copy()
index1.union(index2, sort=False)
TypeError: union() got an unexpected keyword argument 'sort'
```
#### Problem description
The 'sort' argu... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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We can maybe have the code discussion there on the diff, but opening this issue as a reminder that we need to fix this for 0.25.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25002 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25002/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25002/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25002/events | https://github.com/pandas-dev/pandas/pull/25002 | 404,308,336 | MDExOlB1bGxSZXF1ZXN0MjQ4NTE5NzQy | 25,002 | BUG: Fix broken links | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-01-29T14:09:04Z | 2019-01-29T15:11:19Z | 2019-01-29T15:09:38Z | CONTRIBUTOR | null | The previous location of contributing.rst file was
/doc/source/contributing.rst but has been moved to
/doc/source/development/contributing.rst | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25003 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25003/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25003/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25003/events | https://github.com/pandas-dev/pandas/pull/25003 | 404,322,527 | MDExOlB1bGxSZXF1ZXN0MjQ4NTMwNjIy | 25,003 | Split out test_pytables.py to sub-module of tests | {
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Split test_pytables.py into:
- pytables/base.py
- pytables/test_complex_values.py
- pytables/test_pytables.py
- pytables/test_timezones.py
- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Split test_pytables.py into:
- pytables/base.py
- pytables/test_complex_values.py
- pytables/test_pytables.py
- pytables/test_timezones.py | {
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In[2]: import pandas as pd
...: import numpy as np
...: pd.__version__
Out[2]: u'0.23.4'
In[3]: ts = pd.Series([np.nan, 1., 2., 3., np.nan, 4., np.nan])
In[4]: ts.pct_change(fill_method = None)
Out[4]:
0 NaN
1 NaN
2 1.0
3 0.5
4 NaN
5 NaN
6 NaN
dtype: float64
In[5]... | {
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Haven't done MultiIndex yet, just opening for discussion on *if* we should do this for 0.24.1. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25008 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25008/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25008/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25008/events | https://github.com/pandas-dev/pandas/pull/25008 | 404,424,911 | MDExOlB1bGxSZXF1ZXN0MjQ4NjEwMDA5 | 25,008 | require Return section only if return is not None nor commentary | {
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Updated return lookup at source in validate_docstrings.py:
- ignore "return None"
- ignore empty return
- ignore the word "return" on commentaries
Updated test_validate_docstrings.py:
- added a test which contains the "returns" listed above and has a valid docstring with no Return section | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Followup to #24916, addresses the case when the other index has an incompatible dtype, so we cannot take directly from it. Currently, this PR ~naively replaces the missing index... | {
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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/25011 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25011/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25011/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25011/events | https://github.com/pandas-dev/pandas/issues/25011 | 404,480,838 | MDU6SXNzdWU0MDQ0ODA4Mzg= | 25,011 | Using agg with groupy, as_index=False still returning group variable as index | {
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] | closed | false | null | [] | null | 5 | 2019-01-29T20:51:17Z | 2021-08-21T10:39:19Z | 2020-04-24T15:53:28Z | NONE | null | #### Code Sample, a copy-pastable example if possible
Code sample:
```python
# Import packages
import pandas as pd
import numpy as np
# Set up test DataFrame
test_array = np.arange(50) + 100
test_matrix = test_array.reshape((10,5))
test_df = pd.DataFrame(test_matrix).rename(columns={0:'shouldnt be index'})
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https://api.github.com/repos/pandas-dev/pandas/issues/25012 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25012/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25012/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25012/events | https://github.com/pandas-dev/pandas/issues/25012 | 404,487,154 | MDU6SXNzdWU0MDQ0ODcxNTQ= | 25,012 | df.to_dict() no longer supports symbols in column names as of v0.24.0 | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2019-01-29T21:08:34Z | 2019-01-29T21:17:21Z | 2019-01-29T21:17:09Z | NONE | null | #### Example code
```python
import pandas as pd
data = np.array([(1, 5, 'bazzle')],
dtype=[
('abc', 'i4'),
('foo.bar', 'i4'),
('foo.baz.bing', 'U10')
])
mock_dataframe = pd.Data... | {
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