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https://api.github.com/repos/pandas-dev/pandas/issues/25713 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25713/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25713/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25713/events | https://github.com/pandas-dev/pandas/pull/25713 | 420,619,731 | MDExOlB1bGxSZXF1ZXN0MjYwODYwNzU4 | 25,713 | Auto backport of pr 25701 on 0.24.x | {
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0.24.3 at this point? | {
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For future reference, this error occurs when the two files are written in different minutes. I couldn't break the comparison by feeding the test datetime objects that only changed the seconds, so I assume only the date, hours, and minutes, are encoded.
Anyway,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25715 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25715/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25715/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25715/events | https://github.com/pandas-dev/pandas/issues/25715 | 420,629,087 | MDU6SXNzdWU0MjA2MjkwODc= | 25,715 | CI: Linting error | {
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error F632, E117 are simple fix.
error F821 is type hints as flakes8 cannot detect buildin type.
I can fix as:
a. add `#noqa` at the end line
b. add build in optio... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25716 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25716/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25716/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25716/events | https://github.com/pandas-dev/pandas/issues/25716 | 420,673,944 | MDU6SXNzdWU0MjA2NzM5NDQ= | 25,716 | astype conversion to str converts NaN object to literal nan string | {
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# Your code here
import pandas as pd
from numpy import nan
df = pd.DataFrame([{'sample': nan }])
df.iloc[0].sample
df.astype('str').iloc[0].sample
```
#### Problem description
When converting any datatype column to string using astype('str') null values (NaN object) is converted to literal nan string... | {
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return a DataFrame with sparse values, rather than a SparseDataFrame.
Doing an outright break, rather than deprecation, because I have a
followup PR deprecating SparseDataFrame. We hit this internally in
a few places (e.g. get_dummies on all-sparse data)... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Comments:
- Was originally going to add the tests for this to `test_constructor` but decided to create a new test instead. I parametrized `test_constructor` to clean it up befo... | {
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filterwarnings.
```
===================================================================================== FAILURES ======================================================================================
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https://api.github.com/repos/pandas-dev/pandas/issues/25722 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25722/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25722/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25722/events | https://github.com/pandas-dev/pandas/issues/25722 | 420,869,372 | MDU6SXNzdWU0MjA4NjkzNzI= | 25,722 | BUG: pd.to_datetime | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25723 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25723/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25723/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25723/events | https://github.com/pandas-dev/pandas/issues/25723 | 420,888,776 | MDU6SXNzdWU0MjA4ODg3NzY= | 25,723 | Excel Document Passing Kwargs to Engine | {
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"description": "read_excel, to_excel"... | closed | false | null | [] | null | 11 | 2019-03-14T08:32:27Z | 2019-05-20T16:31:05Z | 2019-05-20T16:31:05Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
xls = pandas.ExcelFile(path, on_demand = True)
sheets = xls.sheet_names
```
#### Problem description
This code used to work, since extra keyword arguments were passed to `xlrd.open_workbook`. As `pd.ExcelFile` is now decoupled from `xlrd` this ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25724 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25724/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25724/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25724/events | https://github.com/pandas-dev/pandas/issues/25724 | 420,920,830 | MDU6SXNzdWU0MjA5MjA4MzA= | 25,724 | Can't explain a "Error tokenizing data. C error: Expected.." | {
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"descript... | closed | false | null | [] | null | 3 | 2019-03-14T09:50:04Z | 2019-03-14T17:17:30Z | 2019-03-14T16:15:42Z | NONE | null |
Hi guys,
I have a curious case I can't explain.
The error :
**Error tokenizing data. C error: Expected 65 fields in line 3, saw 91**
when using
`data = pd.read_csv("/Users/me/Projects/ML/Isolated.csv", header=0, escapechar='\\' )`
#### Problem description
My csv has header and three lines.
The third lin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25725 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25725/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25725/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25725/events | https://github.com/pandas-dev/pandas/issues/25725 | 420,990,732 | MDU6SXNzdWU0MjA5OTA3MzI= | 25,725 | CLN: remove PY2 | {
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After merging: #24942 (removing the PY2 CI jobs) and #25554 (bump numpy to 1.13.3), we will be ready to remove PY2 code, tests, and doc references.
Let's do this in bite sized pieces. IOW don't do a PR with changes for everything.
cc @pandas-dev/pandas-core | {
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```python
import pandas as pd
from scipy.stats import pearsonr
df = pd.DataFrame({'A': [1,2,3], 'B': [2,5,6]})
print(df.corr(method=lambda x, y: pearsonr(x, y)[1]))
A B
A 1.000000 0.178912
B 0.178912 1.000000
```
#### Problem ... | {
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```python
import pandas as pd
from scipy.stats import pearsonr
df = pd.DataFrame({'A': [1,2,3], 'B': [2,5,6]})
df.corr(method='a')
---------------------------------------------------------------------------
ValueError Trac... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25729 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25729/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25729/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25729/events | https://github.com/pandas-dev/pandas/pull/25729 | 421,023,912 | MDExOlB1bGxSZXF1ZXN0MjYxMTcyMDk3 | 25,729 | Update ValueError message in corr | {
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- [x] closes #25727
- [ ] tests added / passed
- [ ] 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/25730 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25730/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25730/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25730/events | https://github.com/pandas-dev/pandas/issues/25730 | 421,059,332 | MDU6SXNzdWU0MjEwNTkzMzI= | 25,730 | TypeError: dtype '<class 'datetime.datetime'>' not understood | {
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df
valuation_date
0 2018-06-08
1 2018-06-11
2 2018-06-12
3 2018-06-13
4 2018-06-14
5 2018-06-15
```
```
type(valuation_dates_df)
Out[16]: pandas.core.frame.DataFrame
type(valuation_dates_df['valuation_date'])
Out[15]: pandas.core.series.Series
```
To reproduce ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25731 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25731/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25731/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25731/events | https://github.com/pandas-dev/pandas/pull/25731 | 421,071,107 | MDExOlB1bGxSZXF1ZXN0MjYxMjA3MjQw | 25,731 | BUG: Convert tuple to list before `_list_to_arrays` when construct DataFrame. | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2019-03-14T15:01:16Z | 2019-04-05T00:45:31Z | 2019-04-05T00:45:20Z | CONTRIBUTOR | null | In `_list_to_arrays`, `to_object_array_tuples` or `to_object_array` is called, both require the argument to be a `list` (list of tuples or list of list).
- [x] closes #25691
- [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/25732 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25732/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25732/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25732/events | https://github.com/pandas-dev/pandas/pull/25732 | 421,100,831 | MDExOlB1bGxSZXF1ZXN0MjYxMjI5NTc2 | 25,732 | DOC: clarify corr behaviour when using a callable | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-03-14T15:51:14Z | 2019-03-18T12:23:55Z | 2019-03-18T12:23:52Z | CONTRIBUTOR | null | fixes #25726
- [x] closes #25726
- [ ] 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/25733 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25733/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25733/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25733/events | https://github.com/pandas-dev/pandas/issues/25733 | 421,137,149 | MDU6SXNzdWU0MjExMzcxNDk= | 25,733 | Incorrect example in wide_to_long docstring | {
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```
>>> df = pd.DataFrame({
... 'famid': [1, 1, 1, 2, 2, 2, 3, 3, 3],
... 'birth': [1, 2, 3, 1, 2, 3, 1, 2, 3],
... 'ht_one': [2.8, 2.9, 2.2, 2, 1.8, 1.9, 2.2, 2.3, 2.1],
... 'ht... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25734 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25734/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25734/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25734/events | https://github.com/pandas-dev/pandas/issues/25734 | 421,180,975 | MDU6SXNzdWU0MjExODA5NzU= | 25,734 | Pandas 0.24.x throws an error when using freezegun with CustomBusinessDay | {
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... | closed | false | null | [] | null | 3 | 2019-03-14T18:32:54Z | 2019-04-05T17:52:24Z | 2019-04-05T17:52:24Z | NONE | null | I originally opened an issue with Freezegun:
https://github.com/spulec/freezegun/issues/284
**However, this appears to be a new quirk of Pandas 0.24's `CustomBusinessDay` class and its use of `pandas._libs.tslibs.conversion.localize_pydatetime()`.** Other offset functions don't seem to be affected, for the ones I'v... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25735 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25735/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25735/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25735/events | https://github.com/pandas-dev/pandas/issues/25735 | 421,186,868 | MDU6SXNzdWU0MjExODY4Njg= | 25,735 | Links to PDF and BIBs in documentation on site are broken | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25736 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25736/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25736/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25736/events | https://github.com/pandas-dev/pandas/pull/25736 | 421,194,456 | MDExOlB1bGxSZXF1ZXN0MjYxMzAxMDM5 | 25,736 | Fix incorrect example in wide_to_long docstring | {
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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/25737 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25737/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25737/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25737/events | https://github.com/pandas-dev/pandas/issues/25737 | 421,276,810 | MDU6SXNzdWU0MjEyNzY4MTA= | 25,737 | Resample with freq less than 10T generates different column names with same command | {
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] | closed | false | null | [] | null | 3 | 2019-03-14T22:40:01Z | 2019-03-16T23:17:42Z | 2019-03-16T22:10:51Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Timings.csv (see details)
<details>
```
"Invoice Id","Created Date","Modified Date"
"154021","2019-03-08 17:12:33","2019-03-08 18:50:03"
"141105","2019-02-28 17:13:54","2019-02-28 17:24:22"
"152290","2019-03-08 07:26:37","2019-03-08 07:32:24"
"136697",... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25738 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25738/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25738/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25738/events | https://github.com/pandas-dev/pandas/pull/25738 | 421,367,698 | MDExOlB1bGxSZXF1ZXN0MjYxNDMzMTU4 | 25,738 | Dropna argument is now respected when false in pivot_table | {
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"followers_url": "https://api.github.com/users/j... | 8 | 2019-03-15T06:08:57Z | 2019-04-12T22:00:08Z | 2019-04-12T22:00:03Z | CONTRIBUTOR | null | - [x] closes #22159
- [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/25739 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25739/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25739/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25739/events | https://github.com/pandas-dev/pandas/issues/25739 | 421,429,262 | MDU6SXNzdWU0MjE0MjkyNjI= | 25,739 | pd.merge combine two df was so huge! | {
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] | closed | false | null | [] | null | 2 | 2019-03-15T09:36:09Z | 2019-03-15T15:23:49Z | 2019-03-15T15:23:33Z | NONE | null | My Code
```python
quote = pro.daily(ts_code=code, end_date=end_date.strftime("%Y%m%d"))
basic = pro.daily_basic(ts_code=code, end_date=end_date.strftime("%Y%m%d"))
combine_quote = pd.merge(left=quote, right=basic, on='ts_code', how='inner')
```
#### Problem description
I have two dataframe which named quote an... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25740 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25740/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25740/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25740/events | https://github.com/pandas-dev/pandas/issues/25740 | 421,600,531 | MDU6SXNzdWU0MjE2MDA1MzE= | 25,740 | Inconsistent pd.to_datetime() behaviour dependent on dtype | {
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"description": "Duplicate... | closed | false | null | [] | null | 2 | 2019-03-15T16:22:55Z | 2019-03-15T17:39:31Z | 2019-03-15T17:39:23Z | NONE | null | I have two Series, both containing years. One series is `dtype == float64` and the other is `dtype == object`. When I apply pd.to_datetime() to these two columns, i get drastically different results.
```python
## Pandas 0.24.1
import pandas as pd
year_string = pd.Series(['1980','1985','1990','1995','2000'])
year... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25741 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25741/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25741/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25741/events | https://github.com/pandas-dev/pandas/issues/25741 | 421,706,746 | MDU6SXNzdWU0MjE3MDY3NDY= | 25,741 | Groupby casts uint64 to int64, causing overflows. | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2019-03-15T21:14:09Z | 2019-03-15T21:32:05Z | 2019-03-15T21:31:58Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
pd.DataFrame([['a', 12111450436133142102]],columns=['name', 'value']).groupby('name').first()
```
#### Problem description
Pandas casts uint64 to int64, causing overflows. This happens silently, causing bugs downstream.
This happens with other gro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25742 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25742/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25742/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25742/events | https://github.com/pandas-dev/pandas/issues/25742 | 421,707,474 | MDU6SXNzdWU0MjE3MDc0NzQ= | 25,742 | DataFrame regex with dictionary will not work correctly. | {
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```python
df = pd.DataFrame(
{'A': [0, 1, 2],
'B': ['ba\nt', 'foo', 'bait'],
'C': ['abc', 'ba\nr', 'xyz']}
)
df.replace(regex={'\n': '', r'^fo.$': 'xyz'}) # Neither do r'\n' or '\\n' work.
```
#### Problem description
Does not replace the newline character. Also checked wit... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25743 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25743/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25743/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25743/events | https://github.com/pandas-dev/pandas/pull/25743 | 421,723,267 | MDExOlB1bGxSZXF1ZXN0MjYxNzE0MTE3 | 25,743 | BUG: Fix groupby with MultiIndex Series corner case (#25704) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
There was an issue with `groupby` when you used `groupby` on a `Series` with a list of labels that was equal to the length of the entire `Series`.
`core/groupby/grouper.py:_g... | {
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cats = pandas.api.types.CategoricalDtype(['a', 'b', 'c', 'd'])
# cats = None
s1 = pandas.Series(['a', 'b', 'c'], index=[1, 2, 3], dtype=cats)
s2 = pandas.Series(['b', 'a'], index=[1, 2], dtype=cats)
s1.update(s2)
```
With the dtype=None, the `s1` series is updated to be `['b', 'a', 'c']` but with t... | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2019-03-16T18:10:39Z | 2019-04-12T17:08:36Z | 2019-04-12T17:08:31Z | CONTRIBUTOR | null | - [x] closes #25514
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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"id": ... | closed | false | null | [] | null | 19 | 2019-03-16T19:51:58Z | 2019-04-05T17:31:39Z | 2019-04-05T17:31:30Z | CONTRIBUTOR | null | - [x] closes #25734
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Proposed fix for #25734
The issue was due to localize_pydatetime assuming anything that was `not PyDateTime_CheckExact` must be a pandas `Timestamp`. However, in the rare ca... | {
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I have next CSV sample file:
```
time,value
2018-09-17,0.0002897
2018-09-16,0.0002955
2018-09-15,0.0002862
2018-09-14,0.0003054
2018-09-13,0.000312
2018-09-12,0.0003467
2018-09-11,0.0003433
2018-09-10,0.0003287
2018-09-09,0.0003355
2018-09-08,0.000328... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25748 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25748/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25748/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25748/events | https://github.com/pandas-dev/pandas/pull/25748 | 421,864,456 | MDExOlB1bGxSZXF1ZXN0MjYxODA3NjU0 | 25,748 | TST: indexing/test_floats.py::TestFloatIndexers::test_scalar_non_numeric | {
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"d... | closed | false | null | [] | null | 5 | 2019-03-16T23:42:54Z | 2019-03-27T08:28:11Z | 2019-03-27T08:28:11Z | MEMBER | null | precursor to #25750
This test has some commented out code with a pytest.raises not used as a context manager.
The goal here is primarily to remove the commented out code.
some refactoring but not enough to allow full parametrization.
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```python
# create single/multi index DataFrame
df_s = pd.DataFrame(np.arange(12).reshape(3, 4),columns=list('ABCD'),index=['bar', 'baz', 'foo'])
df_m = pd.DataFrame(np.arange(24).reshape(6, 4),columns=list('ABCD'),index=[
np.array(['bar', 'baz', 'foo','bar', 'baz', 'foo']),np.array(['one','on... | {
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- [x] pandas/tests/arrays/sparse/test_libsparse.py
- [x] pandas/tests/computation/test_eval.py
- [x] pandas/tests/frame/test_nonunique_indexes.py
- [x] pandas/tests/indexes/interval/test_interval_new.py
- [x] pandas/tests/indexing/multiindex/test_partial.py
- [ ] pandas/tests/indexing/test_floats.py... | {
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Quoting from the OP there:
> I kept most of the CI jobs that used to be 2.7 at the lower end of the various supported versions, with 2x 2.7->3.5, 1x 2.7->3.6 and on... | {
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```python
import numpy as np
data = DataFrame(np.arange(16).reshape((4, 4)),
index=['Ohio', 'Colorado', 'Utah', 'New York'],
columns=['one', 'two', 'three', 'four'])
data[data < 5] = 0
print(data.iloc[['Colorado', 'Utah'], [3, 0, 1]])
# .ix... | {
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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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This code example is simply calling repeated `setitem` via a `LocIndexer` on a reasonably sized DataFrame of all bools. The key is that it takes exponentially longer to call this when you're setting a python `bool` type value versus a `np.array[bool]` value.
```python
from datetime import dateti... | {
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As discussed in #25162, #25203, #25613, this moves the affected functions to a new directory `pandas/_config`, intended to be strictl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25758 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25758/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25758/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25758/events | https://github.com/pandas-dev/pandas/issues/25758 | 421,988,696 | MDU6SXNzdWU0MjE5ODg2OTY= | 25,758 | groupby with daily frequency fails with AmbiguousTimeError on clock change day in Cuba | {
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```python
import pandas as pd
from datetime import datetime
start = datetime(2018, 11, 3, 12)
end = datetime(2018, 11, 5, 12)
index = pd.date_range(start, end, freq="1H")
index = index.tz_localize('UTC').tz_convert('America/Havana')
data = list(range(len(index)))
dataframe = pd.DataFrame(data,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25759 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25759/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25759/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25759/events | https://github.com/pandas-dev/pandas/pull/25759 | 421,999,239 | MDExOlB1bGxSZXF1ZXN0MjYxODg5MzAw | 25,759 | BUG: Cleaner exception when `.iloc` called with non-integer list | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Issue #25753 was raised requesting more verbose error messages when calling `loc` and `iloc` with mixed dtype arguments. In this pull request, I've added a new error message whe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25760 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25760/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25760/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25760/events | https://github.com/pandas-dev/pandas/issues/25760 | 422,003,358 | MDU6SXNzdWU0MjIwMDMzNTg= | 25,760 | RecursionError when aligning DataFrames based on MultiIndex with different order of names | {
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```python
import pandas as pd
import numpy as np
x=pd.DataFrame(np.arange(4),pd.MultiIndex.from_product([[1,2],[3,4]],names=['a','b']))
y=pd.DataFrame(np.arange(4),pd.MultiIndex.from_product([[3,4],[1,2]],names=['b','a']))
print(x+y)
```
#### Problem descr... | {
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May be some other issues as well | {
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```python
data = pd.read_excel('abcd.xlsx', sheet_name='Sheet 1')
print(data.head())
```
#### Problem description
Some of the columns showing NaN, even though it contains value in excel sheet.
#### Expected Output
a b c ... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Slicing in [line 2181](https://github.com/pandas-dev/pandas/blob/707c7201a744c48c835f719421e47480beee2184/pandas/core/internals/blocks.py#L2181) only slice of `i8values` that make... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Slicing in [line 2181](https://github.com/pandas-dev/pandas/blob/707c7201a744c48c835f719421e47480beee2184/pandas/core/internals/blocks.py#L2181) only slice of i8values that make ... | {
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```python
import pandas as pd
df = pd.DataFrame({'a': range(10), 'b': range(10)})
df.to_hdf('/tmp/1.hdf', 'k1')
try:
pd.read_hdf('/tmp/1.hdf', 'k2')
except Exception as e:
print(type(e))
print(e)
df.to_hdf('/tmp/1.hdf', 'k2')
```
##... | {
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] | closed | false | null | [] | null | 4 | 2019-03-18T14:29:03Z | 2019-03-19T07:21:07Z | 2019-03-19T03:58:23Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>> df0 = pd.DataFrame({}, columns=['A'])
>>> df1 = pd.DataFrame({'A': []})
>>> df0.columns
Index(['A'], dtype='object')
>>> df1.columns
Index(['A'], dtype='object')
>>> df0.empty
True
>>> df1.empty
True
>>> df0['A']
Series([], Name: A, dtyp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25768 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25768/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25768/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25768/events | https://github.com/pandas-dev/pandas/pull/25768 | 422,264,942 | MDExOlB1bGxSZXF1ZXN0MjYyMDkyNjEx | 25,768 | [BUG] Construction of Interval restricted to numeric/ Timestamp/ Timedelta (#23013) | {
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- 1 test replaced
- passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/25769 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25769/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25769/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25769/events | https://github.com/pandas-dev/pandas/pull/25769 | 422,285,976 | MDExOlB1bGxSZXF1ZXN0MjYyMTA5MjU2 | 25,769 | BUG: reading windows utf8 filenames in py3.6 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Test that was added in prior fix was failing on my machine, where my locale was set to `CP-1251` (which apparently cannot handle some unicode symbols in the test even w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25770 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25770/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25770/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25770/events | https://github.com/pandas-dev/pandas/pull/25770 | 422,486,403 | MDExOlB1bGxSZXF1ZXN0MjYyMjY3Nzc3 | 25,770 | DOC: Fix typo in docstring of DataFrame.memory_usage | {
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@jorisvandenbossche if you don't mind taking a look | {
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With Py27 CI out, we should be a... | {
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```python
ind_dta = pd.read_stata('USER_RLMS-HSE_IND_1994_2017_v2_eng.dta')
```
This results in memory error and that seems strange. Machine... | {
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Note that this is just to get `master` to pass again (started failing when #25751 was merged).
This new release of `pytables`, however, brings up the question of how we want to proceed with #24839, as it appears that all of our CI... | {
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```python
import numpy as np
import pandas as pd
import random
# Nothing Raises
df = pd.DataFrame(dict(A=[1, 1, 1, 1, 1], B=[1., 1., 1., 1., 1.], C=[1, 1, 1, 1, 1]))
df.index = [0, 0, 1, 3, 5]
df.index.name = 'test'
df.loc[0, 'A'] = df.loc[0, 'A']
# ValueError raises
length = 20000
df... | {
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```python
# Your code here
import pandas as pd
pd.np.random.seed(0)
(
pd.DataFrame(pd.np.random.rand(10, 5), columns=['a', 'b', 'c', 'd', 'e'])
.assign(b=lambda df: (df.b*10).astype(int))
.set_index(['a', 'b', 'c'])
.sort_index(axis=0, l... | {
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] | closed | false | null | [] | null | 2 | 2019-03-19T08:46:29Z | 2019-10-18T01:22:58Z | 2019-03-26T05:13:12Z | NONE | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
To fix the issue #25774 . | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25777 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25777/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25777/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25777/events | https://github.com/pandas-dev/pandas/issues/25777 | 422,617,154 | MDU6SXNzdWU0MjI2MTcxNTQ= | 25,777 | Summing a sparse boolean series throws an exception `TypeError: sum() got an unexpected keyword argument 'min_count'` | {
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"... | closed | false | null | [] | {
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```python
In [202]: sparse_series.dtype
Out[203]: Sparse[bool, False]
In [208]: sparse_series.value_counts()
Out[208]:
False 51386
True 13
Name: C_3D Printing, dtype: int64
In [209]: sparse_series.sum()
----------------------------------... | {
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See eg https://travis-ci.org/pandas-dev/pandas/jobs/508237658, giving:
```
> from fiona.ogrext import Iterator, ItemsIterator, KeysIterator
E ImportError: libiconv.so.2: cannot open shared object file: No such file or directory
... | {
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] | closed | false | null | [] | null | 2 | 2019-03-19T11:19:57Z | 2019-03-20T07:02:46Z | 2019-03-19T13:59:16Z | NONE | null | Input file:
```
col1 col2
736372420181101 736372420190314
736718220181101 736718220190314
738542020181101 738542020190314
751412120181101 751412120190314
779315420181101 779315420190314
807519420190301
800573920190115
751412120181101 751412120190314
736718220181101
738542020181101
751412120181101 75141... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25780 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25780/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25780/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25780/events | https://github.com/pandas-dev/pandas/pull/25780 | 422,683,159 | MDExOlB1bGxSZXF1ZXN0MjYyNDE3NzY2 | 25,780 | PERF: Improve performance of StataReader's processing of missing values | {
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with missing values
xref #25772
- [x] closes #N/A
- [x] tests added / passed N/A, perf only
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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"followers_url": "https://api.github.com/users/jreback/followers",... | 1 | 2019-03-19T13:23:34Z | 2021-09-28T21:00:34Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
from scipy.stats import pearsonr
df = pd.DataFrame(np.zeros((2,2)))
df.corr(method=lambda x, y: pearsonr(x, y)[0])
```
gives:
```python
0 1
0 1.0 NaN
1 NaN 1.0
```
#### Problem desc... | {
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] | closed | false | null | [] | null | 6 | 2019-03-19T15:56:03Z | 2019-04-14T21:06:31Z | 2019-04-14T15:34:11Z | CONTRIBUTOR | null | If you go to http://pandas.pydata.org/speed/pandas/#regressions?sort=1&dir=desc or http://pandas.pydata.org/speed/pandas/#summarylist?sort=3&dir=desc and sort by descending date, you'll see no results more recent than 1/15/19. The same goes for all other benchmark suites also hosted on the speed site.
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https://api.github.com/repos/pandas-dev/pandas/issues/25783 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25783/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25783/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25783/events | https://github.com/pandas-dev/pandas/issues/25783 | 422,826,434 | MDU6SXNzdWU0MjI4MjY0MzQ= | 25,783 | Creating DataFrame from mixed list of lists and arrays causes sys exit | {
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```python
import pandas as pd
import numpy as np
data = [['A','B'],np.array([1,2])]
df = pd.DataFrame(data)
```
#### Problem description
The above code causes my kernel to crash with no error message.
I believe the reason for this can be found... | {
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- [x] tests passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I will update the PR when CI finishes running, as I locally tested `io.parser.test_common` only.
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```python
import pandas as pd
_DEF = '../pydata-book/examples'
tips = pd.read_csv(_DEF+'/tips.csv')
party_counts = pd.crosstab(tips.day, tips.size)
print(party_counts)
#unepected result i got instead,
#col_0 1464
#day
#Fri 19
#Sat ... | {
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- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This PR tries to solve the issue #25461 .
I thought that the validator should check that the last line of the parameter description is a part of a bullet point before raising the error PR09.
In order to do that, I had to ... | {
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```python
concated_data_frame = concat([self, other], axis=0, ignore_index=True)
```
#### Problem description
I am trying to concat two instance of a subclass of pandas.DataFrame.
The base class looks like:
```
class BaseTestResult(DataFrame):
... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This is WIP for adding a ``sort`` parameter to ``RangeIndex.union`` that behaves in a similar way to the other index types.
``sort=None`` is the default to make it ... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Larger change than I would have hoped for but it's tough to split this up given the typing import errors get bundled in with F821 errors during LINTing that we certainly wouldn't want to ignore
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Not necessarily analyzing types yet, but I think it makes sense from a readability perspective to start switching over to Python3 syntax for types. A quick grep shows 70 of these in the code base:
<details>
```sh
pandas/core/dtypes/base.py: # type: () -> Optional[List[... | {
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@jbrockmendel @jreback | {
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Following this there will be one more follow-up that will 1) address the TODO in `tests.config.test_localization`, 2) fully disentangle `tslibs` from its dependency on `core`. | {
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] | closed | false | null | [] | null | 4 | 2019-03-20T03:29:20Z | 2019-03-21T05:30:41Z | 2019-03-20T05:17:52Z | NONE | null | ## Code Sample, a copy-pastable example if possible
```python
df_strain=df["strain"].value_counts()
DF(df_strain)
```
## Problem description
Hello masters, thanks for your concern.
As the code an... | {
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] | closed | false | null | [] | null | 2 | 2019-03-20T06:24:50Z | 2019-03-26T11:54:45Z | 2019-03-26T11:54:45Z | NONE | null | Good day!
```python
s = pd.Series(np.arange(10), name='items')
c = s.value_counts()
c.name #=> 'items'
c.index.names #=> None
```
IMHO that's very strange. Values of `c` are quantities/counts/etc. not "items". "Items" are represented in `c.index`. No?
What do you think?
Thanks! | {
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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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```python
import pandas as pd
import numpy as np
# fails in version 0.24.2 but works in 0.23.4
df = pd.DataFrame.from_dict({'Test': ['0.5', True, '0.6']})
print(df['Test'].dtype)
assert df['Test'].dtype == 'object'
df['Test'] = df['Test'].replace([True],... | {
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"de... | closed | false | null | [] | null | 1 | 2019-03-20T07:53:39Z | 2020-09-23T17:13:36Z | 2020-09-23T17:13:35Z | CONTRIBUTOR | null | Based on [review](https://github.com/pandas-dev/pandas/pull/25633#pullrequestreview-216493057) of @jreback in #25633:
> frame/test_indexing.py is actually pretty huge. so pls change according to my comments, and open an issue to split this to separate smaller files (after) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
A very old issue so low priority!
I'd be tempted to remove the shortcut in `_format_strings()` since I'd guess in most cases it doesn't really save much time. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25800 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25800/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25800/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25800/events | https://github.com/pandas-dev/pandas/issues/25800 | 423,258,669 | MDU6SXNzdWU0MjMyNTg2Njk= | 25,800 | dataframe.to_excel openpyxl multilpe sheets | {
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```python
import os
from math import ceil
import pandas
def csv_to_xls(csvfile):
def write_ws(p_writer, p_min, p_max, p_sheetname):
df.loc[p_min:p_max].to_excel(p_writer, sheet_name=p_sheetname, index=False)
MAX_XLSX_ROWSIZE = 1024 ** 2 - ... | {
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- bulletlists must start with a space
- the deprecated/versionadded directives do only apply to the respective bullet point an thus need to be indented.
Comapre http://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html f... | {
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Fixes #25790 (non-array part) | {
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... | open | false | null | [] | null | 3 | 2019-03-20T16:18:35Z | 2020-04-01T04:23:04Z | null | MEMBER | null | With pandas 0.24:
```
In [1]: import pandas as pd
In [2]: s = pd.Series([1, 2, 3], pd.to_datetime(['2018-01-01', '2018-02-02T01:01', '2018-02-02T02:02']))
In [3]: s.loc['2018-01-01'].size
Out[3]: 1
In [4]: s.loc['2018-01-02'].size
Out[4]: 0
In [5]: s.loc['2018-02-02'].size
Out[5]: 2
In [6]: s.loc['2... | {
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"followers_url": "https://api.github.com/users/j... | 9 | 2019-03-20T16:36:42Z | 2019-03-27T00:56:04Z | 2019-03-22T16:19:38Z | CONTRIBUTOR | null | - [x] closes N/A
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Improved performance of checking of string presence in hashsets by:
1. implemented lookup table for first symbol of entries - this speeds up negative answers
2. increased size of... | {
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] | closed | false | null | [] | null | 2 | 2019-03-20T16:47:09Z | 2020-07-15T03:40:46Z | 2020-07-15T03:40:46Z | NONE | null | #### Code Sample
```python
df = pd.DataFrame([{'Key': 'Blue', 'Value': 101.25}, {'Key': 'Green', 'Value': 99.12}])
df.to_html()
```
#### Problem description
The code above, `to_html` has no direct way of specifying column styles. When I dump the output, it produces the table below.
<table border="1" class... | {
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```python
import pandas as pd
df = pd.DataFrame([{'foo': None, 'bar': None}], index=['a'])
df.loc['a', 'foo'] = ['123']
print(df)
print()
df = pd.DataFrame([{'foo': None, 'bar': None}], index=['a'])
df['bar'] = df['bar'].astype(float)
df.loc['a', 'foo... | {
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```python
import pandas as pd
import datetime as dt
import pytz as tz
data = pd.DataFrame([{'localized_date': dt.datetime(2018, 1, 12, 8, 15, tzinfo=tz.timezone('Europe/Berlin'))}])
data
"""
localized_date
0 2018-01-12 08:22:00+01:00
"""
data.dtypes
"""
localized_date dat... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-03-20T21:54:01Z | 2019-03-21T03:07:49Z | 2019-03-21T03:07:44Z | CONTRIBUTOR | null | Fixed a couple of minor inconsistencies in the formatting of the CheatSheet README file.
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```python
>>> import pandas as pd
>>> pd.__version__
0.23.0
>>> x = pd.date_range(start='2019-01-01', end='2019-01-30', freq='D')
>>> x = x.tz_localize('UTC')
>>> x.to_frame().dtypes
0 datetime64[ns, UTC]
dtype: object
```
Behavior in pandas 0.24
```python
>>> import pandas ... | {
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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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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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"default"... | closed | false | null | [] | null | 2 | 2019-03-21T00:23:25Z | 2019-03-24T14:38:39Z | 2019-03-24T14:05:39Z | CONTRIBUTOR | null | - [x] closes #25507
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Issue #25507 pointed out that using `DataFrame.isin` or `Series.isin` on a set took extremely long due to the set being first converted to a list then back to a hash table to lo... | {
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