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- [x] tests added / passed
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For now just trying 3.7 on appveyor, not sure if all necessary conda packages are there | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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"... | open | false | null | [] | null | 1 | 2018-07-08T19:36:30Z | 2019-09-16T19:18:28Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> ss = pd.SparseSeries([1, 2])
>>> ss.iloc[0] = 3
-----------------------------------------------------------------------
TypeError: SparseArray does not support item assignment via setitem
```
#### Problem description
SparseSeries and Sp... | {
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```python
# Your code here
dftime =df.time
for i in range (len(dftime)):
if i!=0:
if dftime[i]==dftime[i-1]:
dftime[i]=dftime[i]+2
if dftime[i]<dftime[i-1]:
dftime[i]=dftime[i-1]+2
```
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cc @WillAyd @TomAugspurger @jorisvandenbossche | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21821/events | https://github.com/pandas-dev/pandas/pull/21821 | 339,260,510 | MDExOlB1bGxSZXF1ZXN0MTk5OTYyMzA0 | 21,821 | DOC: Improve the docstring of Timedelta.asm8 | {
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- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```
################################################################################
###################### Docstring (pandas.Timedelta.asm8) ######################
#########... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21822/events | https://github.com/pandas-dev/pandas/pull/21822 | 339,263,607 | MDExOlB1bGxSZXF1ZXN0MTk5OTY0MjIw | 21,822 | BUG/API: to_datetime preserves UTC offsets when parsing datetime strings | {
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- [x] closes #11736
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- [x] precursor to fixing #15938
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This PR makes `to_datetime(ts_string_with_offset)` and `DatetimeIndex([ts_string_with_offset])` to no... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21823/events | https://github.com/pandas-dev/pandas/pull/21823 | 339,266,184 | MDExOlB1bGxSZXF1ZXN0MTk5OTY1NzM5 | 21,823 | DOC: update the Series.dt.dayofweek docstring | {
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- [ ] tests added / passed
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Original changes moved from #20230 (the fork of that PR does not exist anymore, so can't edit)
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https://api.github.com/repos/pandas-dev/pandas/issues/21824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21824/events | https://github.com/pandas-dev/pandas/issues/21824 | 339,267,974 | MDU6SXNzdWUzMzkyNjc5NzQ= | 21,824 | Segfault on clean-up with count example from docstrings | {
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```
import numpy as np
im... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21825/events | https://github.com/pandas-dev/pandas/issues/21825 | 339,416,320 | MDU6SXNzdWUzMzk0MTYzMjA= | 21,825 | DOC: Series.mask() should point to Series.where() and vice versa | {
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... | 1 | 2018-07-09T11:47:37Z | 2018-10-23T02:39:39Z | null | NONE | null | In the docs page of `pandas.Series.mask()`, the _See also_ cell that should point to related methods (at least in my understanding) is linking to `pandas.DataFrame.where()` instead of `pandas.Series.where()`
(See [here](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.mask.html) for the latest doc ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21826 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21826/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21826/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21826/events | https://github.com/pandas-dev/pandas/pull/21826 | 339,418,768 | MDExOlB1bGxSZXF1ZXN0MjAwMDc2MTU4 | 21,826 | [CLN] cy cleanup, de-duplication | {
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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/21828 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21828/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21828/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21828/events | https://github.com/pandas-dev/pandas/issues/21828 | 339,476,519 | MDU6SXNzdWUzMzk0NzY1MTk= | 21,828 | Initializing from file failed | {
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] | closed | false | null | [] | null | 12 | 2018-07-09T14:36:18Z | 2020-10-26T05:03:43Z | 2018-07-11T04:42:57Z | NONE | null | Kindly, share your insights regarding the following error
```
File "source\matrix_gen.py", line 68, in <module>
main()
File "source\matrix_gen.py", line 22, in main
data = pd.read_csv(sys.argv[1], parse_dates=True, dayfirst=True)# argv[1]: stock_symbol.txt
File "C:\Users\aims\Anaconda3\envs\py35\lib... | {
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] | closed | false | null | [] | null | 6 | 2018-07-09T14:55:28Z | 2020-04-19T21:36:57Z | 2020-04-19T21:36:57Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```
pietro@ecomp:~/nobackup/repo/pandas_test$ python3 setup.py build_ext --inplace
running build_ext
```
```python
In [1]: import pandas as pd
---------------------------------------------------------------------------
ImportError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21830 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21830/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21830/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21830/events | https://github.com/pandas-dev/pandas/issues/21830 | 339,484,832 | MDU6SXNzdWUzMzk0ODQ4MzI= | 21,830 | json_normalize should supply empty columns if record_path are not present | {
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"name": "IO JSON",
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"default": fa... | closed | false | null | [] | null | 9 | 2018-07-09T14:56:04Z | 2021-04-29T14:35:24Z | 2018-07-09T16:01:04Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.read_json('filename')
json_normalize(df, record_path = ['data'], \
meta = ['id', 'desc'], errors = 'ignore')
```
#### Problem description
suppose json file, in some line, doesn't have anything to be normalized ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21831/events | https://github.com/pandas-dev/pandas/issues/21831 | 339,485,998 | MDU6SXNzdWUzMzk0ODU5OTg= | 21,831 | SIGSEGV when calling .copy() | {
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"color": "53... | closed | false | null | [] | null | 6 | 2018-07-09T14:58:36Z | 2018-07-26T08:25:56Z | 2018-07-13T01:51:52Z | NONE | null | #### Problem description
I try to create a new dataframe _df_, with columns from the dataframe _dfCats_.
The three lists self.cat_vars, self.contin_vars and self.dlist contain column names.
I get the error
> Segmentation fault (core dumped)
From the code:
`df = dfCats[self.cat_vars + self.contin_vars + self.d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21832/events | https://github.com/pandas-dev/pandas/issues/21832 | 339,521,773 | MDU6SXNzdWUzMzk1MjE3NzM= | 21,832 | Python Pandas Conditional Formatting | {
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] | closed | false | null | [] | null | 5 | 2018-07-09T16:30:32Z | 2018-07-10T09:38:26Z | 2018-07-10T09:38:26Z | NONE | null | #### Code Sample, a copy-pastable example if possible
def color_negative_red(val):
color = 'red' if val < 10 else 'green'
return 'color: %s' % color
df=df.style.applymap(color_negative_red)
df
#### Problem description
Hello there,
I wrote a few lines to assing numbers one of two colors based o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21833/events | https://github.com/pandas-dev/pandas/issues/21833 | 339,528,779 | MDU6SXNzdWUzMzk1Mjg3Nzk= | 21,833 | Different behavior of apply function depending on number of columns in data frame | {
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] | closed | false | null | [] | null | 1 | 2018-07-09T16:51:58Z | 2018-07-09T17:50:37Z | 2018-07-09T17:50:28Z | NONE | null | https://github.com/pandas-dev/pandas/blob/a00154dcfe5057cb3fd86653172e74b6893e337d/pandas/core/frame.py#L4774-L4879
I have the following data frame:
d = pd.DataFrame([
[1,2],
[2,3],
[5,6],
[6,7],
[8,9]
], columns = ["a", "b"])
I want to apply the following lambda function in order to ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21834/events | https://github.com/pandas-dev/pandas/issues/21834 | 339,593,165 | MDU6SXNzdWUzMzk1OTMxNjU= | 21,834 | Getting RuntimeError: dictionary changed size during iteration with `read_excel` | {
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] | closed | false | null | [] | null | 8 | 2018-07-09T20:20:52Z | 2019-01-04T06:34:02Z | 2018-07-09T20:46:00Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.read_excel(file)
66 def augment_keys(adict, uri):
67 # uri must already be enclosed in {}
---> 68 for x in adict.keys():
69 adict[uri + x] = adict[x]
70
RuntimeError: dictionary changed size during it... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21835/events | https://github.com/pandas-dev/pandas/issues/21835 | 339,648,042 | MDU6SXNzdWUzMzk2NDgwNDI= | 21,835 | Expose ExcelWriter as part of the Generated API | {
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"description": "read_excel, to_excel"... | closed | false | null | [] | {
"closed_at": "2019-01-26T00:51:26Z",
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"followers_url": "https://api.github... | 6 | 2018-07-10T00:04:19Z | 2018-09-18T12:54:32Z | 2018-09-18T12:54:32Z | MEMBER | null | It has a docstring already (though it could use some examples) and would cover usage questions like the below:
https://stackoverflow.com/questions/46173710/where-can-i-find-the-excelwriter-documentation
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https://api.github.com/repos/pandas-dev/pandas/issues/21836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21836/events | https://github.com/pandas-dev/pandas/issues/21836 | 339,673,345 | MDU6SXNzdWUzMzk2NzMzNDU= | 21,836 | to_clipboard does not use the default options | {
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] | closed | false | null | [] | null | 1 | 2018-07-10T02:45:00Z | 2018-07-10T05:23:53Z | 2018-07-10T05:23:53Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
#This does not work as expected
print Final.corr().to_clipboard()
#But this works, even though it is the default option
print Final.corr().to_clipboard(sep='\t')
```
#### Problem description
I was working in this code for over a year withou... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21837 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21837/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21837/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21837/events | https://github.com/pandas-dev/pandas/issues/21837 | 339,677,585 | MDU6SXNzdWUzMzk2Nzc1ODU= | 21,837 | Suggestion: Add some hint (or code example) in the error information | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-07-10T03:11:48Z | 2018-07-10T15:41:23Z | 2018-07-10T15:41:19Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python error information
# A value is trying to be set on a copy of a slice from a DataFrame.
```
#### Problem description
It is better to add some hints beside this error, or this information will coufuse many people. Suggestion: you can add a sentence ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21838 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21838/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21838/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21838/events | https://github.com/pandas-dev/pandas/issues/21838 | 339,705,546 | MDU6SXNzdWUzMzk3MDU1NDY= | 21,838 | CLN/DEPR: Undocumented, old helper functions | {
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"followers_url": "https://api.github... | 1 | 2018-07-10T06:10:03Z | 2018-07-29T15:25:14Z | 2018-07-29T15:25:14Z | MEMBER | null | There are some old, undocumented functions that exist in public namespaces that were maybe useful some time ago. Since these are not hidden in private namespaces, should these function undergo the normal depreciation processes?
https://github.com/pandas-dev/pandas/blob/da6e26db079cd4050c1693939db6a52afb2978e1/pandas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21839 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21839/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21839/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21839/events | https://github.com/pandas-dev/pandas/issues/21839 | 339,787,730 | MDU6SXNzdWUzMzk3ODc3MzA= | 21,839 | PERF: better memory footprint for intna | {
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... | 0 | 2018-07-10T10:41:22Z | 2019-12-30T15:51:21Z | null | CONTRIBUTOR | null | xref #21160
it maybe possible to change the impl of intna to be backed by
- ``bitarray`` (for mask)
- ``pyarrow`` (for both)
to improve the memory footprint of the mask | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21840 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21840/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21840/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21840/events | https://github.com/pandas-dev/pandas/pull/21840 | 339,812,482 | MDExOlB1bGxSZXF1ZXN0MjAwMzczMDIy | 21,840 | DOC: Mention both series and dataframe mirror methods | {
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Now the automatically-generated doc features both `Series` and `Dataframe` in the _See also:_ section.
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Collecting pandas
Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ConnectTimeoutError(<pip._vendor.urllib3.connection.VerifiedHTTPSConnection object at 0x000002644EEE5860>, 'Connection to pypi.org timed out. ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21843 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21843/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21843/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21843/events | https://github.com/pandas-dev/pandas/pull/21843 | 339,889,523 | MDExOlB1bGxSZXF1ZXN0MjAwNDMyNjE4 | 21,843 | [REF] Move constructor helpers to EA Mixin classes | {
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- Tests
- Comparisons
- Tests
- Deal with the fact that DatetimeIndex caches ranges, only feasible because of immutability
- Tests!
- formatting/`__repr__` methods
- Teeeeeests
- Double-check docstring accuracy
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"followers_url": "https://api.github... | 3 | 2018-07-10T15:24:47Z | 2018-07-11T01:19:27Z | 2018-07-11T00:09:43Z | MEMBER | null | Parts of the code are made more difficult to reason about by depending on `pandas.io.formats`, which has dependencies all over the code.
This PR starts in on this by replacing `import Foo` with `import ABCFoo` where possible. Along the way it cleans up import order. | {
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```python
import pandas as pd
print(pd.__version__, '\n')
# 0.23.1
# The timechange occurs at index 3 2017-10-29 02:30:00+02:00 -> 2017-10-29 02:00:00+01:00
series1 = pd.Series([0,1,2,3], index=pd.date_range('2017-10-29 01:30:00', tz='Europe/Berlin', peri... | {
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... | closed | false | null | [] | null | 4 | 2018-07-10T23:42:35Z | 2018-10-11T01:56:10Z | 2018-10-11T01:56:10Z | NONE | null | - [x] implement for Series.diff and DataFrame.diff
- [ ] implement for Series.shift and DataFrame.shift
- [ ] closes #19298
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Haven't ran tests yet | {
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... | closed | false | null | [] | null | 8 | 2018-07-11T00:42:53Z | 2018-11-23T03:41:49Z | 2018-11-23T03:41:48Z | NONE | null | Should close #21624. Didn't see any issues running test_fast.sh on my laptop so I don't think it broke anything in the process. The problem here is that when there is only a null group, then `self.result_index` is empty, but `ids` is just a list of -1s, so a ValueError is raised when trying to create the series. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21850 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21850/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21850/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21850/events | https://github.com/pandas-dev/pandas/issues/21850 | 340,058,974 | MDU6SXNzdWUzNDAwNTg5NzQ= | 21,850 | Un-deprecate DataFrame.from_items() | {
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] | closed | false | null | [] | null | 21 | 2018-07-11T01:22:28Z | 2020-04-09T17:36:29Z | 2019-05-13T00:36:38Z | CONTRIBUTOR | null | Under #18262 a `FutureWarning` was added suggesting that existing code like this:
pd.DataFrame.from_items(x)
Should be changed to this:
import collections
pd.DataFrame.from_dict(collections.OrderedDict(x))
The fact that `from_items()` appeared only 6 times (now 8 times) in a Stack Overflow sear... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21851 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21851/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21851/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21851/events | https://github.com/pandas-dev/pandas/pull/21851 | 340,059,270 | MDExOlB1bGxSZXF1ZXN0MjAwNTYzOTA5 | 21,851 | ENH: support NaT values into datetime series for interpolation (#11701) | {
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... | closed | false | null | [] | null | 10 | 2018-07-11T01:24:29Z | 2018-11-23T03:30:48Z | 2018-11-23T03:30:48Z | NONE | null | - [ ] closes #11701
- [ ] 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/21852 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21852/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21852/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21852/events | https://github.com/pandas-dev/pandas/issues/21852 | 340,062,858 | MDU6SXNzdWUzNDAwNjI4NTg= | 21,852 | [CLN] Replace np_datetime code with numpy versions | {
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pandas/_libs/src/datetime/np_datetime.c and np_datetime_strings.c share a ton of code with numpy:
https://github.com/numpy/numpy/blob/master/numpy/core/src/multiarray/datetime.c
https://github.com/numpy/numpy/blob/master/numpy... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21853 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21853/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21853/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21853/events | https://github.com/pandas-dev/pandas/pull/21853 | 340,076,803 | MDExOlB1bGxSZXF1ZXN0MjAwNTc2MTE2 | 21,853 | BUG: datetime rolling min/max segfaults when closed=left (#21704) | {
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"followers_url": "https://api.github... | 11 | 2018-07-11T03:16:01Z | 2018-09-04T23:49:30Z | 2018-07-20T15:58:35Z | CONTRIBUTOR | null | User reported that `df.rolling(to_offset('3D'), closed='left').max()`
segfaults when df has a datetime index. The bug was in PR #19549. In
that PR, in https://github.com/pandas-dev/pandas/blame/master/pandas/_libs/window.pyx#L1268
`i` is initialized to `endi[0]`, which is 0 when `closed=left`.
So in the next line w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21854 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21854/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21854/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21854/events | https://github.com/pandas-dev/pandas/pull/21854 | 340,077,139 | MDExOlB1bGxSZXF1ZXN0MjAwNTc2MzMw | 21,854 | [CLN] resolve circular Period dependency, prepare setup.py | {
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"followers_url": "https://api.github... | 2 | 2018-07-11T03:17:59Z | 2020-04-05T17:41:56Z | 2018-07-12T10:10:14Z | MEMBER | null | For a long time there has been a comment in `_libs.__init__` saying it would be nice to import `Period` directly but that is not possible due to circular imports. This resolves that issue.
Also does some cleanup in setup.py, motivated by the goals of a) using `cythonize` and b) implementing test coverage for cython... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21855 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21855/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21855/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21855/events | https://github.com/pandas-dev/pandas/issues/21855 | 340,107,998 | MDU6SXNzdWUzNDAxMDc5OTg= | 21,855 | ENH: more joins for DataFrame.update | {
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```# TODO: Support other joins```
I tried to look if a previous issue for this exists, but did not find one.
Some thoughts that arise:
*... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21856 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21856/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21856/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21856/events | https://github.com/pandas-dev/pandas/issues/21856 | 340,184,023 | MDU6SXNzdWUzNDAxODQwMjM= | 21,856 | trying to compare two data frames by getting data from two different databases | {
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] | closed | false | null | [] | null | 1 | 2018-07-11T10:30:51Z | 2018-07-11T15:16:32Z | 2018-07-11T15:16:12Z | NONE | null | HI, I am trying to compare two data frames, one got data from hive database and the other got data from oracle,prolem is In hive all column data types are strings so data frames taking it as object, but oracle has int, so frame taking it as int64, I am getting the following error
Attribute "dtype" are different
[left... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21857 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21857/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21857/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21857/events | https://github.com/pandas-dev/pandas/issues/21857 | 340,216,804 | MDU6SXNzdWUzNDAyMTY4MDQ= | 21,857 | Missing values when displaying Multi-index after groupby in notebook | {
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```python
df = pd.DataFrame({'a':[True, False, False, True], 'b':[True, True, False, False], 'c': [1,2,3,4], 'd':[1,1,1,1]})
df_count = df.groupby(['c','a','b']).count()
```
I get
![image](https://user-images.githubusercontent.com/7989822/42571064-43d92ee... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21858 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21858/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21858/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21858/events | https://github.com/pandas-dev/pandas/issues/21858 | 340,288,905 | MDU6SXNzdWUzNDAyODg5MDU= | 21,858 | ENH: add inplace-kwarg to update | {
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> Generally, we're moving away from inplace operations.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21859 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21859/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21859/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21859/events | https://github.com/pandas-dev/pandas/issues/21859 | 340,289,241 | MDU6SXNzdWUzNDAyODkyNDE= | 21,859 | DEPR: combine_first (replace with update(..., join='outer'); for both Series/DF) | {
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"de... | open | false | null | [] | null | 5 | 2018-07-11T15:17:32Z | 2021-06-20T05:21:43Z | null | CONTRIBUTOR | null | I always found the mechanics of `combine_first` very unintuitive, and constantly need to look into the docs to see what's happening. I haven't checked the git history, but it seems that the method was a direct response from wesm to a SO question (https://stackoverflow.com/a/9794891). In particular, I think this would b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21860 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21860/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21860/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21860/events | https://github.com/pandas-dev/pandas/issues/21860 | 340,294,528 | MDU6SXNzdWUzNDAyOTQ1Mjg= | 21,860 | Indexed DataFrame.plot() prints wrong year on x-axis | {
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... | open | false | null | [] | null | 5 | 2018-07-11T15:30:14Z | 2021-06-20T05:22:20Z | null | NONE | null | Input file sp3_2018X.daybound (Please copy into ASCII-file)
```
MJD sec PRN dRad dAlo dCro dRdot dAdot dCdot
(mm) (mm) (mm) (mm/s) (mm/s) (mm/s)
58120 86382. E01 -2.9 -51.0 35.2 3.2 2.7 3.7
58121 86382. E01... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21861 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21861/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21861/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21861/events | https://github.com/pandas-dev/pandas/pull/21861 | 340,301,096 | MDExOlB1bGxSZXF1ZXN0MjAwNzQ1ODU2 | 21,861 | CLN: miscellaneous cleanups / fixes | {
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"followers_url": "https://api.github... | 2 | 2018-07-11T15:46:10Z | 2018-07-12T00:44:21Z | 2018-07-12T00:13:56Z | MEMBER | null | #21365 made good progress on #21336 so I copied the test from there and referenced it in the whatsnew.
closes #19700
closes #19011
closes #21336
- [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/21862 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21862/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21862/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21862/events | https://github.com/pandas-dev/pandas/issues/21862 | 340,312,072 | MDU6SXNzdWUzNDAzMTIwNzI= | 21,862 | read_csv fails when both escaped quote and comma are present | {
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```python
import os
import pandas as pd
with open("/tmp/test.csv", "w") as f:
f.write('''title,description
Jeans,"blue"
Jeans,"2\" seam"
Jeans,"2\" seam, blue"
''')
pd.read_csv("/tmp/test.csv")
```
#### Problem description
Ideally, thi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21863 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21863/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21863/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21863/events | https://github.com/pandas-dev/pandas/pull/21863 | 340,342,847 | MDExOlB1bGxSZXF1ZXN0MjAwNzc3OTU2 | 21,863 | Replaced PANDAS_DATETIMEUNIT with NPY_DATETIMEUNIT | {
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"followers_url": "https://api.github... | 11 | 2018-07-11T17:47:47Z | 2018-07-12T21:18:55Z | 2018-07-12T10:02:51Z | MEMBER | null | progress towards #21852
- [X] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Working on my C-fu as well. There may be a better way to do this (ex: even adding NPY_DATETIMEUNIT to Cython/includes) but figured I'd offer this up for review
@jbrockm... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21864/events | https://github.com/pandas-dev/pandas/issues/21864 | 340,349,030 | MDU6SXNzdWUzNDAzNDkwMzA= | 21,864 | API/BUG: to_datetime(..., box=True) should always return an Index | {
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"followers_url": "https://api.github... | 0 | 2018-07-11T18:07:04Z | 2018-07-30T10:30:02Z | 2018-07-30T10:30:02Z | MEMBER | null | Currently `box=True` is specified in the docstring to return a DatetimeIndex, but sometimes this is not possible due to how the dates are parsed and a different Index subclass is returned. However, this policy is not consistent:
```
In [8]: pd.__version__
Out[8]: '0.24.0.dev0+312.gd48f34141.dirty'
In [9]: idx =... | {
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... | closed | false | null | [] | null | 9 | 2018-07-11T18:50:57Z | 2018-07-25T18:38:53Z | 2018-07-19T23:13:34Z | CONTRIBUTOR | null | - [ ] closes #21358
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Mainly just reverted changes from GH#21281 and updated docs. Also had to change one test added in GH#21281. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21866 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21866/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21866/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21866/events | https://github.com/pandas-dev/pandas/issues/21866 | 340,376,181 | MDU6SXNzdWUzNDAzNzYxODE= | 21,866 | Issues with hash-function for float64 version of klib's hash-map | {
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"followers_url": "https://api.github... | 5 | 2018-07-11T19:31:54Z | 2018-07-25T19:13:29Z | 2018-07-25T19:13:29Z | CONTRIBUTOR | null | #### Problem description
Hash-maps for float64 use the following [hash-function](https://github.com/pandas-dev/pandas/blob/master/pandas/_libs/src/klib/khash_python.h#L22)
```
#define kh_float64_hash_func(key) (khint32_t)((asint64(key))>>33^(asint64(key))^(asint64(key))<<11)
```
However, in order to guarante... | {
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"followers_url": "https://api.github... | 4 | 2018-07-11T21:55:39Z | 2018-07-14T14:50:29Z | 2018-07-14T14:50:22Z | CONTRIBUTOR | null | - [ x ] closes #20852
- [ x ] tests passed
- [ x ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21868 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21868/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21868/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21868/events | https://github.com/pandas-dev/pandas/pull/21868 | 340,449,431 | MDExOlB1bGxSZXF1ZXN0MjAwODU5NTM0 | 21,868 | DEPR: Warn about Series.to_csv signature alignment | {
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In anticipation, we have moved `DataFrame.to_csv` to `generic.py` so that we can later delete the
`Series.to_csv` implementation, and allow it to adopt `DataFrame`'s `to_csv` due to inheritance.
Closes #19745.
cc @dahlbaek | {
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```python
In [2]: group = df.groupby(pd.Grouper(freq='D', key="datetime_create"))
In [3]: day_count = group[["count"]].sum()
In [4]: total_fee = group[["fee_total", "fee_real"]].sum()
In [5]: total_fee
Out[5]:
fee_total fee... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21870 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21870/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21870/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21870/events | https://github.com/pandas-dev/pandas/pull/21870 | 340,461,240 | MDExOlB1bGxSZXF1ZXN0MjAwODY4MTEw | 21,870 | [CLN] De-privatize commonly-used functions | {
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Not sure how to lint for this (or if we really want to), will see if google knows. | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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"followers_url": "https://api.github... | 3 | 2018-07-12T03:17:44Z | 2020-04-05T17:42:01Z | 2018-07-14T14:38:01Z | MEMBER | null | Changes an old usage numpy's C API that is deprecated. This won't get rid of the warnings because cython hasn't changed it, but still.
Also stops making copies of offsets since they are now immutable.
Handles a handful of changes requested in the last pass: de-privatizes _quarter_to_myear (plus bonus docstring),... | {
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* `frame/test_dtypes.py`
* `series/indexing/test_boolean.py`
* `reshape/merge/test_merge_asof.py` | {
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- [ ] tests added / passed
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Using standard library `zfill` method directly to handle specific characters issue | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21875 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21875/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21875/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21875/events | https://github.com/pandas-dev/pandas/issues/21875 | 340,550,266 | MDU6SXNzdWUzNDA1NTAyNjY= | 21,875 | pandas applying a method to a few selected columns in a dataframe | {
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I would like to apply a little method to several columns in a Dataframe. The method color_negative can´t be applied to columns with strings, therefore I need to skip these columns somehow. I could think of two approaches to solve the problem, though sadly none is working.
In approach 1 I try so apply... | {
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`df.to_sql(sql_table, engine, None, sql_schema, if_exists='append', index=False)`
apparently someone updated the pandas version and it had effect of some of our scripts. The 'None' argument which used to be acceptable with older pandas versions (flavor) is not accepted anymore.
The thi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21877 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21877/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21877/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21877/events | https://github.com/pandas-dev/pandas/issues/21877 | 340,623,807 | MDU6SXNzdWUzNDA2MjM4MDc= | 21,877 | pd.to_timedelta not parsing iso-formatted strings | {
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"followers_url": "https://api.github... | 4 | 2018-07-12T12:49:56Z | 2018-07-20T12:42:01Z | 2018-07-20T12:42:01Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> delta = pd.Timedelta(1e9).isoformat()
>>> pd.to_timedelta(delta)
Traceback (most recent call last):
File "pandas/_libs/tslibs/timedeltas.pyx", line 480, in pandas._libs.tslibs.timedeltas.timedelta_from_spec
unit = timedelta_abbrevs[unit.l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21878 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21878/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21878/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21878/events | https://github.com/pandas-dev/pandas/pull/21878 | 340,736,575 | MDExOlB1bGxSZXF1ZXN0MjAxMDc3NzE2 | 21,878 | Cleanup cimports, implement bits of numpy_helper in util.pxd | {
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"followers_url": "https://api.github... | 2 | 2018-07-12T17:50:20Z | 2018-07-14T15:52:16Z | 2018-07-14T14:36:11Z | MEMBER | null | Removes a few unnecessary uses of `cnp.import_array()`
Uses cython's conditional compilation to avoid runtime PY2/PY3 checks
Arranges cython imports in stdlib-->3rd party--> internal order.
Separates out the one part of `libresolution._FrequencyInferer` that we actually _do_ want to keep in cython
Couple of... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21879 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21879/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21879/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21879/events | https://github.com/pandas-dev/pandas/pull/21879 | 340,743,612 | MDExOlB1bGxSZXF1ZXN0MjAxMDgzMDYy | 21,879 | [BLD] enable cython coverage, use cythonize | {
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Doesn't close #12624, but merits a mention.
Usage:
```
$ export PANDAS_CYTHON_COVERAGE=TRUE
$ python setup.py build_ext --inplace
$ coverage erase
$ pytest pandas/tests/scalar --cov=pandas/_libs
[...]
Name Stmts Miss Cover Missing
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https://api.github.com/repos/pandas-dev/pandas/issues/21880 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21880/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21880/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21880/events | https://github.com/pandas-dev/pandas/issues/21880 | 340,770,625 | MDU6SXNzdWUzNDA3NzA2MjU= | 21,880 | Slowdown of str(record) of DataFrame.to_records() method | {
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"default"... | open | false | null | [] | null | 1 | 2018-07-12T19:36:26Z | 2020-05-02T04:26:34Z | null | NONE | null | #### Repo with sample
https://github.com/gitrus/sample-pandas/blob/master/src/sample-pandas/main.py
#### Problem description
pandas versions 0.22.0 - 0.23.3
Slowdown of str(record) of DataFrame method `to_records`.
The method slows down 50 times, with any version of numpy> 1.14.0.
#### Output of ``pd.s... | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2018-07-12T21:09:09Z | 2021-01-28T14:59:30Z | 2021-01-28T14:59:30Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
# Example 1
timestamp = pd.Timestamp(1412526600000000000)
series = pd.Series([], dtype=object)
series['timestamp'] = timestamp
type(series.timestamp)
# Example 2
series = pd.Series([], dtype=object)
series['anything'] = 300.0
series['time... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21882 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21882/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21882/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21882/events | https://github.com/pandas-dev/pandas/issues/21882 | 340,812,837 | MDU6SXNzdWUzNDA4MTI4Mzc= | 21,882 | First row left-truncated when appending to file object via DataFrame.to_csv() | {
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#### Code Sample, a copy-pastable example if possible
```python
from io import StringIO
import pandas
df = pandas.read_csv(StringIO("""\
x,y
3192056,13904123
3192340,13904044
3192625,13903965
3192909,13903886
3193193,13903807
"""))
with open('test.out', 'w') as f:
f.writelines(['## {1:d}, {0:d}... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21883 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21883/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21883/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21883/events | https://github.com/pandas-dev/pandas/pull/21883 | 340,846,214 | MDExOlB1bGxSZXF1ZXN0MjAxMTYyNjEz | 21,883 | TST: Parametrize tests in tests/util/test_hashing.py | {
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"followers_url": "https://api.github... | 2 | 2018-07-13T00:58:55Z | 2018-09-24T17:22:31Z | 2018-07-14T14:32:45Z | MEMBER | null | Noticed that these tests could be parametrized when investigating a comment in the `IntervalArray` PR, and originally started doing to work there. The `IntervalArray` PR is big enough already, and this is unrelated, so creating a separate PR. | {
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] | closed | false | null | [] | null | 1 | 2018-07-13T01:29:23Z | 2018-07-13T01:41:38Z | 2018-07-13T01:41:17Z | NONE | null | I’m getting an error trying to install pandas via:
-bash-4.3$ pip3 install pandas
I had issues installing numpy previously, and the numpy folks had me set a flag to get around that. I don’t know if something similar would be required here. https://github.com/numpy/numpy/issues/11317
The entire stack trace is 1... | {
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... | 7 | 2018-07-13T01:51:26Z | 2021-10-17T10:09:33Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
[test.xlsx](https://github.com/pandas-dev/pandas/files/2190863/test.xlsx)
```python
# Your code here
import pandas as pd
df = pd.read_excel('test.xlsx', 'test1', header=0, index_col=None)
print(df.values)
```
#### Problem description
I loaded a pand... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
ASV output for algorithms is as follows:
```python
before after ratio
[5380fcd4] [99ac16f4]
+ 1.93±0.01ms 2.38±0.01ms 1.23 a... | {
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"color": "207de5"... | open | false | null | [] | null | 6 | 2018-07-13T07:24:27Z | 2021-07-06T21:59:53Z | null | NONE | null | #### Problem description
```python
>>> s = pd.Series([1,2,3, np.nan, 5])
>>> s.value_counts()
5 1
3 1
2 1
1 1
>>> s.value_counts(dropna = False)
5 1
3 1
2 1
1 1
NaN 1
```
For beginner in pandas, it can be puzzling and misleading to do not see NaNs values when tr... | {
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"followers_url": "https://api.github... | 1 | 2018-07-13T07:27:32Z | 2018-07-17T19:40:40Z | 2018-07-17T19:40:40Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
pd.Series([1, 2]).where([True, False])
# 0 1.0
# 1 NaN
# dtype: float64
pd.Series([1, 2]).mask([True, False])
# Traceback (most recent call last):
# File "<stdin>", line 1, in <module>
# File "/usr/local/lib/python3.7/site-packages/pan... | {
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```python
dtypes_dict = {'interactionRelevance': 'uint8', 'productBrand': 'category', ...}
data_frame = pd.read_json(input_file, lines=True, dtype=dtypes_dict)
```
#### Problem description
Category type is just ignored, the columns specified to be 'categor... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Results from running asvs on algorithms are:
```
before after ratio
[365eac4d] [ee66578f]
+ 1.91±0ms 2.28±0.02ms 1.20 a... | {
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"followers_url": "https://api.github... | 10 | 2018-07-13T14:51:18Z | 2018-07-16T12:44:25Z | 2018-07-16T12:44:25Z | CONTRIBUTOR | null | We'd like to have all these deprecations in place for 0.24.0, and enforced in 1.0
As a reminder, the plan is to have no new deprecations in 0.25.x and 1.0.0. So this is the last round of deprecations before 1.0.
- [ ] `Series.rename(scalar)` -> `Series.set_name` (xref https://github.com/pandas-dev/pandas/issues/1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21895 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21895/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21895/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21895/events | https://github.com/pandas-dev/pandas/issues/21895 | 341,108,884 | MDU6SXNzdWUzNDExMDg4ODQ= | 21,895 | ABCClasses for DatetimeArray etc? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21896 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21896/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21896/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21896/events | https://github.com/pandas-dev/pandas/pull/21896 | 341,148,251 | MDExOlB1bGxSZXF1ZXN0MjAxMzkxNDIx | 21,896 | DEPR: Deprecate Series.to_csv signature | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
<strike>Just a proof of concept for discussion (misses docs, whatsnew, new tests). Based on #21868</strike>
@dahlbaek @gfyoung | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21897 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21897/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21897/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21897/events | https://github.com/pandas-dev/pandas/pull/21897 | 341,155,089 | MDExOlB1bGxSZXF1ZXN0MjAxMzk2ODU4 | 21,897 | DOC: move feature to correct whatsnew section; typos | {
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"followers_url": "https://api.github... | 1 | 2018-07-13T20:48:19Z | 2018-07-17T07:19:32Z | 2018-07-14T15:29:02Z | CONTRIBUTOR | null | Splitting up #21645.
Motivation is easy: when I started working on #21645, there was nothing under "New Features" (usually having a descriptive section each) except this one-liner. To me, this belongs to "Other Enhancements".
Plus found some typos and stuff where the `rst` breaks (cannot have something directly ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21898 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21898/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21898/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21898/events | https://github.com/pandas-dev/pandas/pull/21898 | 341,155,768 | MDExOlB1bGxSZXF1ZXN0MjAxMzk3Mzcx | 21,898 | TST: add test for duplicated frame/test_analytics | {
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"followers_url": "https://api.github... | 4 | 2018-07-13T20:50:59Z | 2018-07-17T07:18:07Z | 2018-07-16T10:54:15Z | CONTRIBUTOR | null | Preparation for #21645
Added some parametrised tests for `duplicated`.
In addition, I reordered the tests slightly. Currently, the tests in `tests/frame/test_analytics.py` test the following functions in order:
```
drop_duplicates
duplicated
duplicated
drop_duplicates
drop_duplicates
[...]
```
Since I ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21899 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21899/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21899/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21899/events | https://github.com/pandas-dev/pandas/pull/21899 | 341,160,717 | MDExOlB1bGxSZXF1ZXN0MjAxNDAxMTk1 | 21,899 | TST/CLN: series.duplicated; parametrisation; fix warning | {
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Added tests for `duplicated`, parametrized two tests for `drop_duplicates`, fixed a warning from #21614.
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https://api.github.com/repos/pandas-dev/pandas/issues/21900 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21900/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21900/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21900/events | https://github.com/pandas-dev/pandas/pull/21900 | 341,161,675 | MDExOlB1bGxSZXF1ZXN0MjAxNDAxOTU0 | 21,900 | TST/CLN: clean up indexes/multi/test_unique_and_duplicates | {
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"followers_url": "https://api.github... | 4 | 2018-07-13T21:14:16Z | 2018-07-17T07:18:59Z | 2018-07-16T10:57:07Z | CONTRIBUTOR | null | Splitting up #21645
* Added tests for `duplicated`, including a fixture for a `MultiIndex` with duplicates
* Broke up a huge test (`test_duplicates`) into smaller chunks
* removed a test (`test_unique_na`) that was for an `Index` (not `MultiIndex`), and exists verbatim in `tests/indexes/common.py`
* moved `test_d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21901/events | https://github.com/pandas-dev/pandas/issues/21901 | 341,163,031 | MDU6SXNzdWUzNDExNjMwMzE= | 21,901 | API: Implement interval-point joins | {
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... | 2 | 2018-07-13T21:20:12Z | 2021-06-20T05:27:55Z | null | MEMBER | null | For clarification, by "interval-point" joins I mean joining an `IntervalIndex`/`IntervalArray` against the point values contained in the intervals, e.g. joining a numeric `IntervalIndex` against a `Float64Index`. I want to keep this discussion separate from interval-interval merges for the time being.
For example, ... | {
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* Added tests for `duplicated`
* Following https://github.com/pandas-dev/pandas/pull/21645#discussion_r202192191, turned several blank `return` statements (which falsely pass the test) into `pytest.skip`.
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https://api.github.com/repos/pandas-dev/pandas/issues/21903 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21903/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21903/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21903/events | https://github.com/pandas-dev/pandas/pull/21903 | 341,172,922 | MDExOlB1bGxSZXF1ZXN0MjAxNDEwNzQz | 21,903 | [REF] implement internals as dir | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21904/events | https://github.com/pandas-dev/pandas/pull/21904 | 341,173,625 | MDExOlB1bGxSZXF1ZXN0MjAxNDExMjgx | 21,904 | BUG: issues with hash-function for Float64HashTable (GH21866) | {
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"followers_url": "https://api.github... | 7 | 2018-07-13T22:09:40Z | 2018-08-09T19:34:37Z | 2018-07-25T19:13:29Z | CONTRIBUTOR | null | The following issues
1) hash(0.0) != hash(-0.0)
2) hash(x) != hash(y) for different x,y which are nans
are solved by setting:
1) hash(-0.0):=hash(0.0)
2) hash(x):=hash(np.nan) for every x which is nan
- [x] closes #21866
- [x] tests added / passed
- [x] passes `git diff upstream/master -u ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21905/events | https://github.com/pandas-dev/pandas/issues/21905 | 341,174,420 | MDU6SXNzdWUzNDExNzQ0MjA= | 21,905 | Are tests failing on Windows? | {
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```
>>> pytest pandas\tests\tseries\offsets\test_offsets.py -x
――――――――――――――――――――― TestCommon.test_apply[BusinessDay0] ―――――――――――――――――――――
self = <pandas.tests.tseries.offsets.test_offsets.TestCommon object at 0x066D4530>
offset_types = <class 'pandas.tseries.offsets.Busi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21906 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21906/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21906/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21906/events | https://github.com/pandas-dev/pandas/pull/21906 | 341,179,261 | MDExOlB1bGxSZXF1ZXN0MjAxNDE1NTk3 | 21,906 | Change ._data to ._parent for accessors | {
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"followers_url": "https://api.github... | 15 | 2018-07-13T22:41:36Z | 2018-08-08T15:50:33Z | 2018-08-08T10:52:34Z | MEMBER | null | The idea is to reduce the number of distinct meanings `._data` has. With this it is down to just `Index._data` and `NDFrame._data`, I think. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21907 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21907/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21907/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21907/events | https://github.com/pandas-dev/pandas/issues/21907 | 341,201,671 | MDU6SXNzdWUzNDEyMDE2NzE= | 21,907 | pd.Series(dti) shares data with dti --> DatetimeIndex mutated | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 2 | 2018-07-14T02:31:07Z | 2018-12-05T20:19:47Z | 2018-12-05T20:19:47Z | MEMBER | null | Appears to be specific to tz-aware
```
dti = pd.date_range('2016-01-01', periods=10, tz='US/Pacific')
ser = pd.Series(dti)
ser[::3] = pd.NaT
>>> dti
DatetimeIndex([ 'NaT', '2016-01-02 00:00:00-08:00',
'2016-01-03 00:00:00-08:00', 'NaT',
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21908 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21908/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21908/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21908/events | https://github.com/pandas-dev/pandas/issues/21908 | 341,204,254 | MDU6SXNzdWUzNDEyMDQyNTQ= | 21,908 | [EA] ExtensionArray should support ndim==2 | {
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"gists... | [] | closed | false | null | [] | null | 6 | 2018-07-14T03:13:36Z | 2018-07-14T20:44:33Z | 2018-07-14T20:44:33Z | MEMBER | null | There are a bunch of issues (indirectly) caused by the fact that we can't reshape a `DatetimeIndex[tz]` as 2D.
#13287, #17539, #19197, and each of the several issues about interpolation with `datetime64[tz]` dtypes. At the end of `DataFrame._init_ndarray` is:
```
if dtype is None and is_object_dtype(val... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21909 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21909/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21909/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21909/events | https://github.com/pandas-dev/pandas/issues/21909 | 341,218,892 | MDU6SXNzdWUzNDEyMTg4OTI= | 21,909 | SparseDataFrame from_dict doesn't adhere to sparse input semantics | {
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] | closed | false | null | [] | null | 2 | 2018-07-14T08:04:10Z | 2019-09-18T14:02:15Z | 2019-09-18T14:02:15Z | NONE | null | ## Code Sample
```python
from pandas import DataFrame, SparseDataFrame
list_of_sparse_semantics = [{0: 1, 4: 1, 22: 1, 1001: 2}, {0: 1, 3: 1}, {0: 1, 55: 1}]
df = DataFrame.from_dict(list_of_sparse_semantics)
sdf = SparseDataFrame.from_dict(list_of_sparse_semantics)
```
## Problem description
It may ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21910 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21910/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21910/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21910/events | https://github.com/pandas-dev/pandas/issues/21910 | 341,234,108 | MDU6SXNzdWUzNDEyMzQxMDg= | 21,910 | Dataclass support | {
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"closed_at": "2020-07-28T18:13:47Z",
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-07-14T12:46:23Z | 2020-03-15T01:09:41Z | 2020-03-15T01:09:41Z | NONE | null | #### Proposal description
Dataclasses were added in Python 3.7.
It would be nice for pandas to support dataclasses. For example could be possible to construct dataframe from by calling `.from_dataclasses` or just `.DataFrame(data=dataclass_list)`. There should be also possibility to do `.to_dataclasses`.
####... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21911 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21911/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21911/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21911/events | https://github.com/pandas-dev/pandas/issues/21911 | 341,247,845 | MDU6SXNzdWUzNDEyNDc4NDU= | 21,911 | statsmodels is missing from optional dependencies | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 0 | 2018-07-14T16:23:03Z | 2018-07-15T02:14:57Z | 2018-07-15T02:14:57Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```
docs$ python make.py html
...
>>>-------------------------------------------------------------------------
Exception in /Users/tsmith/upstream/pandas/doc/source/basics.rst at block ending on line 762
Specify :okexcept: as an option in the ipython:: b... | {
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