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https://api.github.com/repos/pandas-dev/pandas/issues/19410 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19410/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19410/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19410/events | https://github.com/pandas-dev/pandas/pull/19410 | 291,891,287 | MDExOlB1bGxSZXF1ZXN0MTY1MzU2MjIz | 19,410 | [#7292] BUG: asfreq / pct_change strange behavior | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/19411 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19411/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19411/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19411/events | https://github.com/pandas-dev/pandas/issues/19411 | 291,966,864 | MDU6SXNzdWUyOTE5NjY4NjQ= | 19,411 | check_names=False parameter for pandas.util.testing.assert_frame_equal applies to index.names but not columns.names | {
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"followers_url": "https://api.github... | 5 | 2018-01-26T17:01:42Z | 2018-07-06T14:26:35Z | 2018-07-06T14:26:35Z | NONE | null | *edit by @TomAugspurger*
The `check_names` docstring for `pandas.util.testing.assert_frame_equal` is unclear:
```
check_names : bool, default True
Whether to check the Index names attribute.
```
This should clarify that both the index and columns names attribute are checked.
---
#### Code Sample, ... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-01-26T17:12:30Z | 2018-03-16T12:55:18Z | 2018-03-16T12:55:17Z | MEMBER | null | If I'm not wrong, now GitHub squashes commits automatically when merging pull requests [1]. In the pandas documentation there is a section about combining commits [2], that doesn't seem relevant anymore if that is being used.
Would it make sense to delete that section, and may be add a comment about using the title ... | {
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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/19414 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19414/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19414/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19414/events | https://github.com/pandas-dev/pandas/issues/19414 | 291,990,630 | MDU6SXNzdWUyOTE5OTA2MzA= | 19,414 | Series.loc with MultiIndex does not handle repeated keys properly | {
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... | 1 | 2018-01-26T18:29:32Z | 2020-11-08T22:50:46Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
s = pd.Series([1, 2], pd.MultiIndex.from_arrays([['a', 'b']]))
print(s.loc[['a', 'a', 'b', 'b']])
```
#### Problem description
This prints the full series, not the series with repeated elements:
```
a 1
b 2
dtype:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19415 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19415/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19415/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19415/events | https://github.com/pandas-dev/pandas/pull/19415 | 291,994,921 | MDExOlB1bGxSZXF1ZXN0MTY1NDMzMjk2 | 19,415 | Remove unused files from src/klib | {
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```python
import seaborn as sns
tips = sns.load_dataset("tips")
print(tips["day"].dtype)
counts = tips.groupby("size").day.value_counts().rename("count").reset_index()
print(counts["day"].dtype)
```
```
category
object
```
#### Problem description
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```python
def test_StataReader(stata_path):
"""
Args:
stata_path - path to literally any valid stata file.
"""
# Step 1: Delay reading value labels, which is done automaticaly when
# decoding categoricals. Otherwise this only wo... | {
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This PR gets rid of the unnecessary file by picking out the one definition that is actually needed. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19419 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19419/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19419/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19419/events | https://github.com/pandas-dev/pandas/issues/19419 | 292,079,275 | MDU6SXNzdWUyOTIwNzkyNzU= | 19,419 | ENH: Have Period/PeriodIndex inherit from Interval/IntervalIndex | {
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... | closed | false | null | [] | null | 5 | 2018-01-27T01:47:28Z | 2019-12-18T18:04:39Z | 2019-12-18T18:04:38Z | MEMBER | null | Since `Period` objects are inherently intervals of time, it seems like there should be a way to access `Interval` properties and methods. Inheritance has been suggested in passing in other issues, and seems reasonable.
As an example benefit, #9089 suggests implementing `Period.duration`. If `Period` were to inheri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19420 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19420/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19420/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19420/events | https://github.com/pandas-dev/pandas/issues/19420 | 292,081,628 | MDU6SXNzdWUyOTIwODE2Mjg= | 19,420 | DF.stack() on single column datetime with timezone causes loss of timezone | {
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"followers_url": "https://api.github... | 5 | 2018-01-27T02:19:15Z | 2019-01-06T15:53:49Z | 2019-01-06T15:53:49Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
ts1 = list(pd.date_range(freq="D", start="20180101", end="20180103"))
df1 = pd.DataFrame({"A": ts1}, index=["a", "b", "c"])
print("Works as expected; no tz")
print(df1.stack())
#a A 2018-01-01
#b A 2018-01-02
#c A ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19421 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19421/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19421/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19421/events | https://github.com/pandas-dev/pandas/issues/19421 | 292,084,208 | MDU6SXNzdWUyOTIwODQyMDg= | 19,421 | ops._arith_method_FRAME typo? | {
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```
# we may need to manually
# broadcast a 1 element array
if yrav.shape != mask.shape:
yrav = np.empty(mask.shape, dtype=yrav.dtype)
yrav.fill(yrav.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19422 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19422/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19422/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19422/events | https://github.com/pandas-dev/pandas/issues/19422 | 292,100,373 | MDU6SXNzdWUyOTIxMDAzNzM= | 19,422 | I can't convert 1H OHLC data into monthly data with a specific time by loffset | {
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https://github.com/pandas-dev/pandas/issues/13933
With regard to the above issues, I have the same problem. I need to convert 1 hour to monthly data, the requirement is that I need to set the beginning time interval to 17:00.
`ohlc_dict = {'open':'first', 'high':'m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19423 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19423/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19423/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19423/events | https://github.com/pandas-dev/pandas/pull/19423 | 292,103,948 | MDExOlB1bGxSZXF1ZXN0MTY1NTA5MDQ5 | 19,423 | BUG: maybe_convert_objects with convert_datetime | {
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... | closed | false | null | [] | null | 8 | 2018-01-27T08:23:33Z | 2019-01-21T00:34:28Z | 2018-10-11T01:54:27Z | NONE | null | - [ Y] closes #19359
- [ Y] tests added / passed
- [ Y] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ Y] whatsnew entry: bug fix for GH19359
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https://api.github.com/repos/pandas-dev/pandas/issues/19424 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19424/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19424/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19424/events | https://github.com/pandas-dev/pandas/issues/19424 | 292,131,887 | MDU6SXNzdWUyOTIxMzE4ODc= | 19,424 | read_sql_query converts integer column to float | {
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```python
dataframe = pd.read_sql(self.get_query(order_numbers), session.bind, coerce_float=False)
dataframe = dataframe.astype(self.get_column_types())
```
get_query returns an `sqlalchemy.text("select ... ")`
get_column_types returns a dictionary `{... '... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19425 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19425/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19425/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19425/events | https://github.com/pandas-dev/pandas/pull/19425 | 292,140,371 | MDExOlB1bGxSZXF1ZXN0MTY1NTI5MjMx | 19,425 | CLN: GH19404 Changing function signature to match logic | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2018-01-27T18:09:39Z | 2018-02-01T13:26:40Z | 2018-02-01T13:26:37Z | CONTRIBUTOR | null | - [x] closes #19404
- [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/19426 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19426/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19426/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19426/events | https://github.com/pandas-dev/pandas/issues/19426 | 292,146,947 | MDU6SXNzdWUyOTIxNDY5NDc= | 19,426 | Conventions for DataFrame.__eq__? | {
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```
ser = pd.Series([1, 2])
df = pd.DataFrame([[1, 2], [3, 4]], index=['A', 'B'], columns=['foo', 'bar'])
>>> df == ser
0 1 bar foo
A False False False False
B False F... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19427 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19427/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19427/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19427/events | https://github.com/pandas-dev/pandas/pull/19427 | 292,187,993 | MDExOlB1bGxSZXF1ZXN0MTY1NTU3MTIy | 19,427 | DOC/ERR: better error message on no common merge keys | {
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- [o] tests passed
- [o] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- Let MergeError emit values keyword arguments
- Add `DataFrame.join` on `See also` section of `pandas.merge`
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* Function references as links.
* Backticks ` `` ` around Series, DataFrame.
* Minor rephrasing of sentences, spelling, etc.
* For plots such as lag plots, Andrews plot, Radviz, I added links to Wikipedia entries.
Comme... | {
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```python
import pandas as pd
data = [1, 2, 3]
df = pd.DataFrame()
s3_url = 's3://my_bucket/path/to/file.parquet'
df.to_parquet(s3_url)
```
#### Problem description
I am trying to upload a Panda's dataframe as a new file in s3. I am getting `FileNot... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19431 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19431/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19431/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19431/events | https://github.com/pandas-dev/pandas/issues/19431 | 292,212,146 | MDU6SXNzdWUyOTIyMTIxNDY= | 19,431 | Regression in make_block_same_class (tests failing for new fastparquet release) | {
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Issue on fastparquet is here: https://github.com/dask/fastparquet/issues/297 | {
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"color": "207... | open | false | null | [] | null | 12 | 2018-01-28T16:27:05Z | 2018-09-06T10:50:16Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: pd.MultiIndex.from_product([pd.Index([1, 1.], dtype=object), range(3)]).values
Out[2]: array([(1, 0), (1, 1), (1, 2), (1, 0), (1, 1), (1, 2)], dtype=object)
In [3]: pd.MultiIndex(levels=[pd.Index([1, 1.], dtype=object), range(3)], labels=[[... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19433 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19433/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19433/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19433/events | https://github.com/pandas-dev/pandas/pull/19433 | 292,219,691 | MDExOlB1bGxSZXF1ZXN0MTY1NTc2MTEz | 19,433 | BUG: groupby with resample using on parameter errors when selecting column to apply function | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/19434 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19434/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19434/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19434/events | https://github.com/pandas-dev/pandas/pull/19434 | 292,228,828 | MDExOlB1bGxSZXF1ZXN0MTY1NTgxNDgx | 19,434 | [#19431] Regression in make_block_same_class (tests failing for new fastparquet release) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
`dtype` seems still in use at:
https://github.com/minggli/pandas/blob/2f4fc0790a5e5c51eb80bbfadf4c80f0bb424c56/pandas/core/internals.... | {
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"object of type 'NoneType' has no len()"
Here is the current line of code where the error happens:
```python
if len(self.delimiter) > 1 and self.quoting != csv.QUOTE_NONE:
# see gh-13374
reason = ('Error could possibly be due to quot... | {
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... | 2 | 2018-01-29T05:24:23Z | 2019-11-23T23:04:41Z | 2019-11-23T23:04:41Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame([['2018-01-01','MSFT','short'],
['2018-01-01','MSFT','long'],
['2018-01-01','MSFT',pd.np.NaN],
['2018-01-01','AAPL','short'],
['2018-01... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19438 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19438/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19438/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19438/events | https://github.com/pandas-dev/pandas/pull/19438 | 292,303,865 | MDExOlB1bGxSZXF1ZXN0MTY1NjI5NTE4 | 19,438 | BUG: don't assume series is length > 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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https://api.github.com/repos/pandas-dev/pandas/issues/19439 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19439/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19439/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19439/events | https://github.com/pandas-dev/pandas/issues/19439 | 292,307,633 | MDU6SXNzdWUyOTIzMDc2MzM= | 19,439 | MultiIndexPyIntEngine fails on 32 bit builds | {
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After merging #19074 :
https://travis-ci.org/MacPython/pandas-wheels/jobs/334527944
From https://github.com/pandas-dev/pandas/pull/19074#issuecomment-361126338 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19440 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19440/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19440/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19440/events | https://github.com/pandas-dev/pandas/pull/19440 | 292,311,736 | MDExOlB1bGxSZXF1ZXN0MTY1NjM1Mjkw | 19,440 | TST: fix test for MultiIndexPyIntEngine on 32 bit | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
It was just a problem in the test. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19441 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19441/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19441/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19441/events | https://github.com/pandas-dev/pandas/pull/19441 | 292,315,146 | MDExOlB1bGxSZXF1ZXN0MTY1NjM3NzE2 | 19,441 | BUG: Fix problem with SparseDataFrame not persisting to csv | {
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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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@jreback I didn't want to further discuss on the PR, so let's do that here :-)
By having it as a FutureWarning, we only annoy users, and the fastparquet developers are already aware of it.
BTW, we do exactly the same for pyarrow's 'misuse' of internal API, we... | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-01-29T14:57:52Z | 2018-01-29T16:46:24Z | 2018-01-29T16:46:07Z | NONE | null | Timedelta cannot convert x minute timesereies to monthly series. Each time I try to use it will upsample x minute data to 1 minute data. See
https://stackoverflow.com/questions/48467042/dask-dataframes-time-series-partitions
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] | closed | false | null | [] | null | 1 | 2018-01-29T16:54:27Z | 2018-02-04T07:59:46Z | 2018-02-04T07:59:46Z | MEMBER | null | Related: #19431, #9859, #19294
We've been making progress on getting `Index` and `Series` arithmetic&comparison methods to behave identically by having the `Series` versions wrap the `Index` implementations. To also make `DataFrame` behavior consistent, we're going to need to move those implementations from the `In... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19445 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19445/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19445/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19445/events | https://github.com/pandas-dev/pandas/pull/19445 | 292,487,453 | MDExOlB1bGxSZXF1ZXN0MTY1NzYzNzE4 | 19,445 | Simple solutions for users running into problems running large queries in pandas.read_gbq() | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-01-29T17:10:17Z | 2018-01-29T23:59:15Z | 2018-01-29T23:58:00Z | NONE | null | - This solves the `allowLargeResults` problem users bump into when running large queries using `pandas.read_gbq()`. Here is an example:
```
> import pandas
> project_id = '' # add your project id:
> q = """
SELECT
contributor_id,
FROM [bigquery-publi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19446 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19446/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19446/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19446/events | https://github.com/pandas-dev/pandas/pull/19446 | 292,489,569 | MDExOlB1bGxSZXF1ZXN0MTY1NzY1Mjc0 | 19,446 | catch PerformanceWarning | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-01-29T17:51:30Z | 2018-01-30T14:07:10Z | 2018-01-30T13:52:37Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
#!/usr/bin/python
import MySQLdb
import pandas as pd
import pprint as pp
import os
import sys
import HTMLParser
parser = HTMLParser.HTMLParser()
def get_script_path():
return os.path.dirname(os.path.realpath(sys.argv[0]))
script_path = g... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-01-29T18:27:20Z | 2018-02-04T16:43:27Z | 2018-02-02T11:29:53Z | MEMBER | null | - Move `isinstance(other, ABCDataFrame)` checks to consistently be the first thing checked in Series ops
- Remove `force` kwarg, define it in the one place it is used.
- Remove kludge for `PeriodIndex`
- Handle categorical_dtype earlier in arith_method_SERIES, decreasing complexity of the closure.
- Handle ... | {
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```python
import pandas as pd
from decimal import Decimal
print(pd.api.types.infer_dtype([1.0, Decimal(1)]))
print(pd.api.types.infer_dtype([Decimal(1), 2.0]))
```
#### Problem description
I expect both `infer_dtypes` to return `'mixed'`. The second ret... | {
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One dependency is removed from setup.py that was missed in #19415, should have been deleted there. | {
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```python
# Your code here
[in]data.index
[out]
MultiIndex(levels=[[2017-11-01 00:00:00, 2017-11-02 00:00:00, 2017-11-03 00:00:00, 2017-11-06 00:00:00, 2017-11-07 00:00:00, 2017-11-08 00:00:00, 2017-11-09 00:00:00, 2017-11-10 00:00:00, 2017-11-13 00:00:00,... | {
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I've started working on an interval accessor, so it seems likely that there will be more exposure to `Interval` objects in a `Series`/`DataFrame`, hence this becoming ... | {
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"followers_url": "https://api.github... | 1 | 2018-01-30T02:48:34Z | 2018-06-26T14:59:24Z | 2018-06-26T14:59:24Z | NONE | null | Would be great if pandas were to support reading directly from Google Cloud Storage URLs (gs://), similar to the way it supports AWS s3 URLs (s3://)
Ideally, one could write:
```python
df_csv = pd.read_csv('gs://my-bucket/super-cool-dataset.csv')
df_excel = pd.read_excel('gs://my-bucket/super-cool-dataset.xlsx')
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Second part of #19440 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19456 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19456/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19456/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19456/events | https://github.com/pandas-dev/pandas/issues/19456 | 292,655,811 | MDU6SXNzdWUyOTI2NTU4MTE= | 19,456 | Error when using .loc[integer] with object Index (also) containing floats | {
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```python
In [2]: s = pd.Series(range(2), pd.Index([1, 2.], dtype=object))
In [3]: s.loc[1]
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-inp... | {
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"description": "to_sql, read_sql, read_s... | open | false | null | [] | null | 8 | 2018-01-30T08:51:04Z | 2020-05-16T03:54:36Z | null | NONE | null | #### Code Sample
```python
pool = mp.Pool(processes=None, initializer=_initialize_mp_preprocess)
for vals in pool.imap_unordered(self._preprocess_chunk,
pd.read_sql_query(
query,
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19458 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19458/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19458/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19458/events | https://github.com/pandas-dev/pandas/issues/19458 | 292,701,148 | MDU6SXNzdWUyOTI3MDExNDg= | 19,458 | Precision error when using Timedelta.total_seconds method | {
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```python
>>> import pandas as pd
>>> block = pd.Timedelta('30S')
>>> block.total_seconds()
30.000000000000004
>>>
```
#### Problem description
When using `Timedelta.total_seconds` I sometime encounter a small precision error (1e-15), which can be significant in some scenarios (for instance... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19459 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19459/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19459/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19459/events | https://github.com/pandas-dev/pandas/issues/19459 | 292,729,359 | MDU6SXNzdWUyOTI3MjkzNTk= | 19,459 | Dataframe w/ DatetimeIndex memory leak | {
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```python
import gc
import numpy as np
import pandas as pd
from memory_profiler import profile
@profile
def leaky_af():
channels = ['Sonya Blade', 'Johnny Cage', 'Raiden', 'Scorpion', 'Kano']
data_df = pd.DataFrame() # w/ default index
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https://api.github.com/repos/pandas-dev/pandas/issues/19460 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19460/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19460/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19460/events | https://github.com/pandas-dev/pandas/issues/19460 | 292,734,407 | MDU6SXNzdWUyOTI3MzQ0MDc= | 19,460 | Denoting duplicated by specific combination of index | {
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```python
pandas.DataFrame.duplicated(subset=None, keep='first')
```
#### Problem description
Pandas have a built-in method for denoting duplicated records. However, it is not able to denote duplicated record by some combination of keys.
**dataFrame a**
```
index1 index2 val1 val2
a ... | {
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```python
import pandas as pd
from pandas.compat import StringIO
data = StringIO("""
a, b
1, 1
1.7976931348623157e+308, 1
""")
pd.read_csv(data, dtype={'a': float, 'b': float}, engine='python')
```
This work!
```python
import pandas as pd
from pandas.compat import StringIO
data = StringIO("""
a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19464 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19464/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19464/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19464/events | https://github.com/pandas-dev/pandas/pull/19464 | 292,778,197 | MDExOlB1bGxSZXF1ZXN0MTY1OTc3NDM2 | 19,464 | Performance of get_loc on non-unique MultiIndex | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
The second commit is related only in the sense that the docs mentioned a ``PerformanceWarning`` due to (non-)sorting, while it was actually due to (non-)uniqueness. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19465 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19465/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19465/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19465/events | https://github.com/pandas-dev/pandas/issues/19465 | 292,856,507 | MDU6SXNzdWUyOTI4NTY1MDc= | 19,465 | period_helper should be in cython | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19466 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19466/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19466/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19466/events | https://github.com/pandas-dev/pandas/pull/19466 | 292,882,621 | MDExOlB1bGxSZXF1ZXN0MTY2MDU2MjM0 | 19,466 | remove unused from period, period_helper | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/19467 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19467/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19467/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19467/events | https://github.com/pandas-dev/pandas/issues/19467 | 292,893,322 | MDU6SXNzdWUyOTI4OTMzMjI= | 19,467 | Build no longer caching lib.pyx | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19468 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19468/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19468/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19468/events | https://github.com/pandas-dev/pandas/issues/19468 | 292,905,953 | MDU6SXNzdWUyOTI5MDU5NTM= | 19,468 | BUG: .dt accessor raises on a Series of Categorical Timestamps with repeats | {
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On master:
```python
In [2]: pd.__version__
Out[2]: '0.23.0.dev0+190.g238499a'
In [3]: dti = pd.DatetimeIndex(['20171111', '20181212']).repeat(2)
In [4]: s = pd.Series(pd.Categorical(dti))
In [5]: s
Out[5]:
0 2017-11-11
1 2017-11-11
2 2018-12-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19469 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19469/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19469/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19469/events | https://github.com/pandas-dev/pandas/pull/19469 | 292,924,678 | MDExOlB1bGxSZXF1ZXN0MTY2MDg3ODAx | 19,469 | BUG: Fixed accessor for Categorical[Datetime] | {
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No release note, since this was only a regression on master.
cc @jschendel. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19470 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19470/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19470/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19470/events | https://github.com/pandas-dev/pandas/issues/19470 | 292,932,503 | MDU6SXNzdWUyOTI5MzI1MDM= | 19,470 | API: Categorical.get_values returns DatetimeIndex for datetime categories | {
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... | closed | false | null | [] | null | 1 | 2018-01-30T20:49:58Z | 2020-04-01T03:00:31Z | 2020-04-01T03:00:31Z | CONTRIBUTOR | null | ```python
In [6]: pd.Categorical(['a', 'a', 'b', 'b']).get_values()
Out[6]: array(['a', 'a', 'b', 'b'], dtype=object)
In [7]: pd.Categorical(pd.DatetimeIndex(['2017', '2017', '2018', '2018'])).get_values()
Out[7]: DatetimeIndex(['2017-01-01', '2017-01-01', '2018-01-01', '2018-01-01'], dtype='datetime64[ns]', freq... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19471 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19471/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19471/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19471/events | https://github.com/pandas-dev/pandas/pull/19471 | 293,003,578 | MDExOlB1bGxSZXF1ZXN0MTY2MTQ2NjA5 | 19,471 | Centralize Arithmetic Tests | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-01-31T01:50:01Z | 2018-02-11T22:00:08Z | 2018-01-31T11:17:06Z | MEMBER | null | Lots of tests in tests.series.test_operators and tests.frame.test_operators that need to be split up, parametrized, and moved to the appropriate test_arithmetic module+class. This handles the most obvious cases. | {
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- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/19473 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19473/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19473/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19473/events | https://github.com/pandas-dev/pandas/pull/19473 | 293,049,441 | MDExOlB1bGxSZXF1ZXN0MTY2MTc5MTcz | 19,473 | Organize, Split, Parametrize timezones/timestamps tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19474 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19474/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19474/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19474/events | https://github.com/pandas-dev/pandas/issues/19474 | 293,053,185 | MDU6SXNzdWUyOTMwNTMxODU= | 19,474 | BUG: unexpected assign by a single-element list | {
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```python
import pandas as pd
df = pd.DataFrame([[1,2,3], [4,5,6]],columns=["A", "B", "C"])
df.loc[0, ["C"]] = ["Z"]
df
A B C
0 1 2 [Z]
1 4 5 6
```
#### Problem description
This issue is derived from [https://stackoverflow.com/questions/4... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19475 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19475/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19475/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19475/events | https://github.com/pandas-dev/pandas/issues/19475 | 293,115,458 | MDU6SXNzdWUyOTMxMTU0NTg= | 19,475 | CLN: remove 'datetime' from pytables | {
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this is to support a pretty old case, which is not tested, nor needed as this was pre-auto conversion to datetimes. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19476 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19476/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19476/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19476/events | https://github.com/pandas-dev/pandas/issues/19476 | 293,120,464 | MDU6SXNzdWUyOTMxMjA0NjQ= | 19,476 | Slice with .loc includes stop index. Not consistent with Python standards? | {
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```python
import numpy as np
import pandas as pd
test = [0,1,2,3,4]
test_np = np.array(test)
test_pd = pd.DataFrame(test,columns ={'Val'})
print(test[0:1])
print(test_np[0:1])
print(test_pd[0:1])
print(test_pd.loc[0:1])
>>[0]
>>[0]
>> Val
... | {
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"c... | closed | false | null | [] | null | 8 | 2018-01-31T15:22:24Z | 2018-03-16T22:10:14Z | 2018-03-16T22:10:14Z | NONE | null | - [x] closes #19458
- [ ] 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/19478 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19478/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19478/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19478/events | https://github.com/pandas-dev/pandas/issues/19478 | 293,214,803 | MDU6SXNzdWUyOTMyMTQ4MDM= | 19,478 | Int64Index.get_loc() is very slow on unsorted, non-unique index | {
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```python
In [2]: idx = pd.Int64Index(np.random.randint(2000, size=10000))
In [3]: %timeit idx.get_loc(1000)
316 µs ± 1.73 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
In [4]: %timeit np.where((idx == 1000))
26.6 µs ± 268 ns per loop (mean ±... | {
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- continue collecting staggler arithmetic tests
- new test module for testing that DatetimeIndex.foo behaves like Timestamp.foo
- de-duplicate some tests scattered across modules
- parametrize a handful of tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19480 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19480/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19480/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19480/events | https://github.com/pandas-dev/pandas/issues/19480 | 293,273,955 | MDU6SXNzdWUyOTMyNzM5NTU= | 19,480 | Features which Interval / IntervalIndex should probably have | {
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### closest
```
>>> Interval(3, 4).... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
~~This is not complete~~ but I wanted to submit for review on the direction. In particular, I wanted to know if my way of passing the named rank arguments back to the Cython lay... | {
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... | 3 | 2018-01-31T21:57:19Z | 2018-02-16T08:20:51Z | 2018-02-16T08:20:50Z | MEMBER | null | Came across this working on #15779
```python
In []: df = pd.DataFrame({'key': ['a'] * 5, 'val': ['bar', 'bar', 'foo', 'bar', 'baz']})
In []: df.groupby('key').rank(method='first')
Out []:
Empty DataFrame
Columns: []
Index: []
```
#### Expected Output
```python
Out[]:
val
0 1.0
1 2.0
... | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
``makeIntIndex`` currently produces a monotonic index, and hence tests common to different classes actually test very different things (i.e. the sorted vs. unsorted code paths). I had to fix this (and to fix the tests which erro... | {
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] | closed | false | null | [] | null | 10 | 2018-02-01T01:08:42Z | 2018-07-12T17:58:21Z | 2018-02-07T21:20:57Z | MEMBER | null | Discussed back in #18089. This builds OK locally, we'll see about the CI...
- Makes `util` a module instead of a stub.
- Renames io/sas/_sas.pyx --> io/sas/sas.pyx, otherwise a warning is produced at compile-time and an error is raised at import-time. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19485 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19485/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19485/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19485/events | https://github.com/pandas-dev/pandas/issues/19485 | 293,386,635 | MDU6SXNzdWUyOTMzODY2MzU= | 19,485 | Doc: Incorrect exmaples for 'GroupBy.apply' functon | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-02-01T02:55:48Z | 2018-02-01T08:17:39Z | 2018-02-01T08:17:28Z | CONTRIBUTOR | null | Example 1 and Example 2 are both incorrect for 'GroupBy.apply' functon in [document](https://pandas-docs.github.io/pandas-docs-travis/generated/pandas.core.groupby.GroupBy.apply.html).
```python
>>> df = pd.DataFrame({'A': 'a a b'.split(), 'B': [1,2,3], 'C': [4,6, 5]})
>>> g = df.groupby('A')
```
The foll... | {
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... | 3 | 2018-02-01T03:24:10Z | 2020-09-05T19:05:01Z | 2020-09-05T19:05:01Z | MEMBER | null | There are some non-trivial simplifications (and perf improvements) in tslibs.np_datetime available if ujson can be made to not call pandas_datetimestruct methods directly. Is there a viable way to make the ujson code go through the tslibs cython instead of through src/datetime? | {
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The perf improvement is available b/c the func... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19488 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19488/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19488/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19488/events | https://github.com/pandas-dev/pandas/pull/19488 | 293,442,446 | MDExOlB1bGxSZXF1ZXN0MTY2NDcxNzA1 | 19,488 | Allows for merging of SparseDataFrames, and fixes __array__ interface | {
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"de... | closed | false | null | [] | null | 7 | 2018-02-01T08:27:34Z | 2018-10-17T15:24:47Z | 2018-10-17T15:24:46Z | CONTRIBUTOR | null | - [x] closes #13665 and #14167 and #19506
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This is still an in progress thing... since this is pretty complected code that I'm trying to unravel.
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https://api.github.com/repos/pandas-dev/pandas/issues/19489 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19489/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19489/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19489/events | https://github.com/pandas-dev/pandas/issues/19489 | 293,455,597 | MDU6SXNzdWUyOTM0NTU1OTc= | 19,489 | DOC: Incorrect example result in 'merge_asof' docstring | {
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```python
>>> trades = pd.DataFrame({
... 'time': pd.to_datetime(['20160525 13:30:00.023',
... ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19491 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19491/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19491/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19491/events | https://github.com/pandas-dev/pandas/issues/19491 | 293,491,157 | MDU6SXNzdWUyOTM0OTExNTc= | 19,491 | Display sparse multi-index of dataframe in Pandas | {
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```python
In [1]:
import pandas as pd
from io import StringIO
data = """
code\tname\ttyp\tntf\n
A5411\tWD\tAF\t\n
A5411\tWD\tAF\t210194618\n
B5498\tSH\tNC\t\n
B5498\tSH\tNC\t210213014\n
"""
df = pd.read_table(StringIO(data))
In [2]: df.set_index(['name','code'])
Out[2]:
typ n... | {
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After that, all blocks eventually end up calling `Block.__init__` (aside from `ScalarBlock`, which we'll ignore).
Most of the subclasses init methods are
1. maybe coerce values to the expecte... | {
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```python
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
from io import StringIO
content = StringIO(
"""report_time_of_generation
2018-02-01 03:44:29
2018-02-01 03:44:29
2018-02-01 03:44:29
2018-02-01 03:44:29
2018-02-01 03:44:... | {
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... | 4 | 2018-02-01T19:59:37Z | 2018-02-02T02:07:39Z | 2018-02-02T01:31:48Z | NONE | null | It would be nice to have `read_csv` handle columns with `year`, `month`, `day`, `hour` without the need for a `date_parser`.
Seems `to_datetime` already has this capability:
```python
import pandas as pd
df = pd.DataFrame({'year': [2015, 2016],
'month': [2, 3],
'day': [4, 5],
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Do we want to ignore bare exception (E722) too? Or is the hope that we'll fix all those eventually? | {
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- [x] closes #19465
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*... | {
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... | 6 | 2018-02-01T23:51:43Z | 2018-07-30T02:22:57Z | 2018-07-25T19:12:54Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({'val': [2, np.nan, 2, 8, 2, np.nan, 6]})
# Works as documented - missing values are highest rank
In []: df.rank(na_option='top')
Out []:
val
0 4.0
1 1.5
2 4.0
3 7.0
4 4.0
5 1.5
6 6.0
# Technically works - m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19500 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19500/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19500/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19500/events | https://github.com/pandas-dev/pandas/issues/19500 | 293,728,346 | MDU6SXNzdWUyOTM3MjgzNDY= | 19,500 | New Feature: Evaluating regular expressions over data frames | {
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] | open | false | null | [] | null | 2 | 2018-02-02T00:04:47Z | 2018-11-23T20:15:28Z | null | NONE | null | I would like to describe a potentially useful feature of evaluating a regular expression over a `pandas` data frame. For users, it is similar to evaluating an arithmetic expression using `pandas.eval` but now we will use a regular expression instead. I have implemented a prototype in my personal [repo](https://github.c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19501 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19501/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19501/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19501/events | https://github.com/pandas-dev/pandas/issues/19501 | 293,734,997 | MDU6SXNzdWUyOTM3MzQ5OTc= | 19,501 | Suggestion: Pop row or multiple rows from a DataFrame | {
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... | 6 | 2018-02-02T00:42:02Z | 2021-06-18T02:59:32Z | null | NONE | null | #### Problem description
I'd like to suggest a modification to [df.pop(item)](https://github.com/pandas-dev/pandas/blob/a00154dcfe5057cb3fd86653172e74b6893e337d/pandas/core/generic.py#L632-L680). Currently, `pop(item)` deletes the column from the dataframe it's being called on and returns that column as a series. It... | {
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- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Still have a quite a few things to do, but wanted to make sure I'm on the right track, and have this PR in place to motivate any additional issues/PR that need to be done as a p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19503 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19503/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19503/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19503/events | https://github.com/pandas-dev/pandas/pull/19503 | 293,753,765 | MDExOlB1bGxSZXF1ZXN0MTY2NzA0NTI5 | 19,503 | implement timedeltas.test_scalar_compat | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19504 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19504/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19504/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19504/events | https://github.com/pandas-dev/pandas/pull/19504 | 293,764,140 | MDExOlB1bGxSZXF1ZXN0MTY2NzExNTg0 | 19,504 | separate DTI, Timestamp, Series, DataFrame, tslibs timezones tests | {
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There are a ton of DT... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19505 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19505/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19505/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19505/events | https://github.com/pandas-dev/pandas/issues/19505 | 293,766,424 | MDU6SXNzdWUyOTM3NjY0MjQ= | 19,505 | Documation: copy documenation is lacking detail for when deep=False | {
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... | 10 | 2018-02-02T04:00:25Z | 2018-03-23T08:52:05Z | 2018-03-23T08:52:05Z | CONTRIBUTOR | null | The DataFrame.copy documentation (for pandas 0.22.0) states:
```
deep : boolean or string, default True
Make a deep copy, including a copy of the data and the indices.
With deep=False neither the indices or the data are copied.
Note that when deep=True data is copied, actual python objects
will not be copied ... | {
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"color": "fb... | closed | false | null | [] | null | 7 | 2018-02-02T05:23:54Z | 2018-10-13T11:37:13Z | 2018-10-13T11:37:13Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
import pandas.core.algorithms as algos
algos.take_1d(pd.SparseArray([0,0,1], fill_value=0), [0,1,2]) #=> array([ 1, 23618416, 32])
# VS
algos.take_1d(np.array([0,0,1]), [0,1,2]) #=> array([0... | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2018-02-02T08:26:47Z | 2018-08-03T07:56:31Z | 2018-02-15T09:00:32Z | CONTRIBUTOR | null | As per our discussion in #16943. Let me know what you think. I'm not quite happy with the new warning box, ideas how to improve the message are welcome. | {
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```python
>>> ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/19509 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19509/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19509/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19509/events | https://github.com/pandas-dev/pandas/pull/19509 | 293,928,262 | MDExOlB1bGxSZXF1ZXN0MTY2ODMyMjY1 | 19,509 | TST: Remove dupe TimdeltaIndex tests from indexes/timedeltas/test_astype.py | {
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- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Both classes in `test_astype.py` and [`test_timedelta.py`](https://github.com/pandas-dev/pandas/blob/master/pandas/tests/indexes/timedeltas/test_timedelta.py#L19) inherit from `DatetimeLike`, which in turn [inherits from... | {
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