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https://api.github.com/repos/pandas-dev/pandas/issues/25513 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25513/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25513/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25513/events | https://github.com/pandas-dev/pandas/issues/25513 | 416,251,532 | MDU6SXNzdWU0MTYyNTE1MzI= | 25,513 | DataFrame.to_json silently ignores index parameter for most orients. | {
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... | 20 | 2019-03-01T19:43:00Z | 2021-09-10T11:48:29Z | null | CONTRIBUTOR | null | *see
https://github.com/pandas-dev/pandas/issues/25513#issuecomment-469264925*
#### Code Sample, a copy-pastable example if possible
```python
from __future__ import print_function
import pandas as pd
df = pd.DataFrame.from_records(
[
{'id': 'abc', 'data': 'qwerty'},
{'id': 'def', ... | {
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```python
import numpy as np
import pandas as pd
pd.set_option("display.precision", 3)
A = np.random.rand(3,3)
df_A = pd.DataFrame(A)
B = np.random.rand(3,3)+1j*np.random.rand(3,3)
df_B = pd.DataFrame(B)
print(df_A)
print(df_B)
```
**Output:**
```
0 1 2
0 0... | {
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#### Code Sample, a copy-pastable example if possible
```python
from pandas import DataFrame
from collections import OrderedDict
DataFrame.from_dict(
OrderedDict([('b', 8), ('a', 5), ('a', 6)]))
```
Note: code sample from exisiting test...
https://github.com/pandas-dev/pandas/blob/638dd... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
The following gives a series containing [1] instead of 1
```
>>> pd.Series(pd.Categorical('A', categories=['A', 'B'])).replace({'A': 1, 'B': 2})
0 [1]
dtype: object
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---------------------------------------------------------------------
import pandas as pd
from sklearn.tree import DecisionTreeClassifier
df = pd.read_csv('tstdatapanda.csv', delimiter=',', encoding="utf-8-sig")
X = df['sensex','nifty']
y = df['La... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25523 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25523/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25523/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25523/events | https://github.com/pandas-dev/pandas/issues/25523 | 416,537,543 | MDU6SXNzdWU0MTY1Mzc1NDM= | 25,523 | ExcelFile class has no attribute 'encoding'. Is it correct? | {
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```python
import os
import pandas as pd
directory = '/Data'
# more than 300 files
for d, dirs, files in os.walk(directory):
# i can not use read_excel function because i do not know how many sheets in each xls
# i use instance of ExcelFile
# in fact it returns xlrd.Book instanc... | {
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- Removes hard-coded examples from _flex_doc_SERIES
- Adds separate examples for each op (_*_example_SERIES). At this stage I've just copied the examples which were in the _flex_doc_SERIES template (add, sub, mul, div)
- Modifies _make_flex_doc to format the _flex_doc_SERIES template with a... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Original number of errors: 95
Remaining errors: 0
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DatetimeArray was listed twice. PeriodArray was missed. | {
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The first line is the problem, the others given for context. My goal in the function this comes from is to remove non-modal ("atypical") items per `key`. The task should, and does, allow multi-modal targets per group (there are other techniques to pick a unique... | {
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###sample code:
import pandas as pd
import re
s = pd.Series(['hello there', 'well hello then'])
print(s)
'''OUTPUT
0 hello there
1 well hello then
dtype: object
'''
s.replace({'hello' : 'goodbye'}, regex=True, inplace=True)
print(s... | {
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closes #15306
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
```
################################################################################
####################### Docstring (pandas.read_parquet) #######################
#########... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25533 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25533/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25533/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25533/events | https://github.com/pandas-dev/pandas/pull/25533 | 416,784,287 | MDExOlB1bGxSZXF1ZXN0MjU3OTI4NzU0 | 25,533 | BUG: caught typeError in series.at (#25506) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/25534 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25534/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25534/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25534/events | https://github.com/pandas-dev/pandas/issues/25534 | 416,808,589 | MDU6SXNzdWU0MTY4MDg1ODk= | 25,534 | DOC: Make the sidebar index more useful in the docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25536 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25536/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25536/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25536/events | https://github.com/pandas-dev/pandas/issues/25536 | 416,944,506 | MDU6SXNzdWU0MTY5NDQ1MDY= | 25,536 | DOC: remove Panel from docs | {
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@jreback : the regex is getting a bit unreadable.. this may suggest that a more (user friendly|consistent) error message should be raised by `safe_sort`? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25538 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25538/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25538/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25538/events | https://github.com/pandas-dev/pandas/pull/25538 | 417,026,437 | MDExOlB1bGxSZXF1ZXN0MjU4MTE2MTkw | 25,538 | DOC: Polishing typos out of doc/source/user_guide/indexing.rst | {
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- subject verb agreements
- extra conjunctions
- adds articles
- fixes formatting as code markup
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```python
# data = read_excel(data.xlsx, nrows=100)
```
#### Problem description
I'm currently trying to open a 46 MB xlsx file with around 1700 rows and 26 columns. Everytime I load the dataset through read_excel, the DataFrame only contains 11 rows. I've tried this on multiple ipython notebooks with the s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25540 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25540/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25540/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25540/events | https://github.com/pandas-dev/pandas/pull/25540 | 417,144,386 | MDExOlB1bGxSZXF1ZXN0MjU4MjA0NzYy | 25,540 | BUG: Fix #25481 by fixing the error message in TypeError | {
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- [x] closes #25481
- [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`
- [x] whatsnew entry
I messed up the rebase of the old PR #24844 and started this again on a clean state. Reviewers please review on this PR!
#### From old PR
I found the issue stagnant, but ... | {
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"description": "Incorrec... | open | false | null | [] | null | 2 | 2019-03-05T09:18:36Z | 2021-06-27T19:01:50Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
# np.__version__ is 1.14.5
# pd.__version__ is 0.24.1
# create list of dicts with ndarrays
ll = []
for ii in range(2):
dd = {0: np.ones(2)}
ll += [dd]
# create data frame
df = pd.DataFrame(ll... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25543 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25543/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25543/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25543/events | https://github.com/pandas-dev/pandas/issues/25543 | 417,219,225 | MDU6SXNzdWU0MTcyMTkyMjU= | 25,543 | Pandas eval/query doesn't match whole words | {
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... | [] | closed | false | null | [] | null | 1 | 2019-03-05T10:14:39Z | 2019-03-05T14:01:27Z | 2019-03-05T14:01:27Z | NONE | null | This here works when looking for whole words with \b
```python
# Your code here
df = pd.DataFrame({'b' : ['hif das', 'foodas', 'fat', 'cat']})
df[df.b.str.contains(r'\bdas\b')]
```
But this doesn't work:
```python
df[df.eval('b.str.contains(r"\bdas\b")', engine="python", parser="python")]
df.query('b.str.conta... | {
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"description": "Timedelta data type",
... | closed | false | null | [] | {
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... | 6 | 2019-03-05T12:38:58Z | 2020-05-03T21:46:02Z | 2020-05-03T21:46:02Z | NONE | null | ```python
pd.Timedelta(3,unit= 'M')
Out[26]: Timedelta('91 days 07:27:18')
pd.Timedelta('3M')
Out[27]: Timedelta('0 days 00:03:00')
```
#### Problem description
I tried instantiating Timedelta object using '3M' which returns Timedelta object with 3 minutes rather than 3Months
#### Output of ``pd.show_versio... | {
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... | 2 | 2019-03-05T13:09:01Z | 2019-03-07T20:42:29Z | 2019-03-07T20:42:29Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
pd.Series(np.random.random(1000)).plot(logy=True)
pd.Series(np.random.random(1000)).plot(secondary_y=True, logy=True)
plt.show()
```
#### Problem description
When I pl... | {
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If I'm trying to load json data thought the Series.read_json considering the following command line :
```python
pd.read_json('{"2019-01-01T11:00:00.000Z":88.352985054,"2019-01-01T12:00:00.000Z":90.091719896,"2019-01-01T13:00:00.000Z":15}', typ='series', orient='index').index
```
I've g... | {
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"gist... | [] | closed | false | null | [] | null | 2 | 2019-03-05T14:04:38Z | 2019-03-05T15:31:10Z | 2019-03-05T15:31:10Z | CONTRIBUTOR | null | If I merge two data frames by columns ignoring the indexes, it seems the column names get lost on the resulting object, being replaced instead by integers. Example:
```python
import numpy as np, pandas as pd
np.random.seed(1)
df1 = pd.DataFrame(np.random.random(size = (10,5)), columns = ['col1', 'col2', 'col3', '... | {
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"description": "Related to indexing on s... | open | false | null | [] | null | 3 | 2019-03-05T14:08:26Z | 2021-06-27T19:03:17Z | null | NONE | null | I noticed that `.loc` and `__setitem__` behave very differently when assigning one series to a sub-range of another series:
```python
>>> s = pd.Series(0.0, index=list('abcd'))
>>> s1 = pd.Series(1.0, index=list('ab'))
>>> s2 = pd.Series(2.0, index=list('xy'))
>>> s[['a', 'b']] = s2
>>> s # names of s2 are ign... | {
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but in fact the default behaviour of `str.split()` is more complicated than using `str.split(" ")` as detailed in the [python 3 documentation](https://docs.py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25551 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25551/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25551/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25551/events | https://github.com/pandas-dev/pandas/pull/25551 | 417,398,340 | MDExOlB1bGxSZXF1ZXN0MjU4NDAzNzkw | 25,551 | Document the behavior of `axis=None` with `style.background_gradient` | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-03-05T16:53:45Z | 2019-03-07T02:21:14Z | 2019-03-07T02:21:08Z | CONTRIBUTOR | null | Add docstring entry for using `axis=None`with `style.background_gradient`, which was added in #21259. Also reword to be in numerical order and consistent with how `highlight_max` and `highligh_min` defines column-wise and row-wise.
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | fla... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25552 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25552/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25552/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25552/events | https://github.com/pandas-dev/pandas/issues/25552 | 417,432,931 | MDU6SXNzdWU0MTc0MzI5MzE= | 25,552 | Design of DataFrame.where() is potentially counter-intuitive | {
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```python
>>> s = pd.Series(range(5))
>>> s.where(s > 1, 10)
0 10
1 10
2 2
3 3
4 4
dtype: int64
```
#### Problem description
This is a purely design-related issue!
I think that the behavior of the `DataFrame.where()` is potentially confusing, and can easily be misunder... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25553 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25553/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25553/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25553/events | https://github.com/pandas-dev/pandas/pull/25553 | 417,443,019 | MDExOlB1bGxSZXF1ZXN0MjU4NDM5NjAy | 25,553 | BUG: in error message raised when invalid axis parameter | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I don't think there is currently an issue for this. will open new and then add whatsnew. | {
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The bare minimum for the bump is implemented in that PR, but a ver... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25555 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25555/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25555/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25555/events | https://github.com/pandas-dev/pandas/issues/25555 | 417,451,243 | MDU6SXNzdWU0MTc0NTEyNDM= | 25,555 | BUG: in error message raised when invalid axis parameter | {
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```python
import numpy as np
from pandas import DataFrame
df = DataFrame(np.random.randn(6, 4))
df.dropna(axis=3)
```
#### Problem description
0.25.0.dev0+198.gd10bbce34
```python-traceback
Traceback (most recent call last):
File "<stdin>", line 1, ... | {
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"followers_url": "https://api.github.com/u... | 5 | 2019-03-05T20:18:48Z | 2019-03-07T14:25:00Z | 2019-03-07T14:24:56Z | CONTRIBUTOR | null | Closes #25403
~@jbrockmendel suggested changing the def from `object[:]` to `ndarray[object]`. This unfortunately had the same runtime error about readonly buffers. So as a workaround for now (until Cython has const memoryviews), how about unsetting and then `re-setting` the writability of the input array?~ | {
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```python
import pandas as pd
import numpy as np
a = pd.Series([1, 1, 1, np.nan], index=['a', 'b', 'c', 'd'])
b = pd.Series([1, np.nan, 1, np.nan], index=['a', 'b', 'd', 'e'])
##Working:
divmod(a,b)
##Fails:
a.divmod(b)
```
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Skipping this test as it's failing on 32bit due to #23440. Note that this is consistent with #23442 where a few other tests that are bei... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25560 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25560/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25560/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25560/events | https://github.com/pandas-dev/pandas/issues/25560 | 417,601,233 | MDU6SXNzdWU0MTc2MDEyMzM= | 25,560 | IOError: File "/home/jasims/Documents/sample.csv" does not exist | {
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```python code
import ipywidgets as widgets
import fileplot
path=widgets.Text(
value=raw_input("Enter the Path Csv File You Want to Plot here : "),
#placeholder="File Path",
#descrition="String:",
#disabled=False
)
button=widgets.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25561 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25561/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25561/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25561/events | https://github.com/pandas-dev/pandas/pull/25561 | 417,615,392 | MDExOlB1bGxSZXF1ZXN0MjU4NTcyODky | 25,561 | Backport PR #25558 on branch 0.24.x (TST: Skip IntervalTree construction overflow test on 32bit) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25562 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25562/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25562/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25562/events | https://github.com/pandas-dev/pandas/issues/25562 | 417,642,701 | MDU6SXNzdWU0MTc2NDI3MDE= | 25,562 | value error when multiply two large numbers | {
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```python
# Your code here
```
#### Problem description
data
Out[24]:
code volume
0 000559 7400
1 000559 3500
2 002415 4000
3 002415 5200
4 600622 4300
5 000559 9340
6 000559 9200
7 600622 3700
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https://api.github.com/repos/pandas-dev/pandas/issues/25564 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25564/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25564/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25564/events | https://github.com/pandas-dev/pandas/issues/25564 | 417,710,594 | MDU6SXNzdWU0MTc3MTA1OTQ= | 25,564 | BUG: Incorrect Parsing During Selecting Data of a Complex Object | {
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] | closed | false | null | [] | null | 2 | 2019-03-06T09:45:22Z | 2019-03-06T14:34:58Z | 2019-03-06T14:34:57Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import networkx as nx
# Create a graph object with 2 edges and 3 nodes
dg1 = nx.DiGraph()
dg1.add_edge(1,2)
dg1.add_edge(3,2)
# Create a graph object with 2 edges and 3 nodes
dg2 = nx.DiGraph()
dg2.add_edge(1,2)
dg2.add... | {
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"default"... | closed | false | null | [] | null | 5 | 2019-03-06T10:26:28Z | 2019-03-07T12:31:01Z | 2019-03-06T11:54:53Z | NONE | null | I've made a simple 10'000 row Series of random floats and run some numpy vs pandas functions on it. The timings are given below (using the Ipython console):
```
import pandas as pd
import numpy as np
randSeries = pd.Series( data=np.random.ranf( 10000 ) )
# Min
%timeit randSeries.min( skipna=False )
# 74.2 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25566 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25566/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25566/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25566/events | https://github.com/pandas-dev/pandas/issues/25566 | 417,748,859 | MDU6SXNzdWU0MTc3NDg4NTk= | 25,566 | pandas.cut() behaving unexpectedly | {
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In: df.shape
Out: (125298, 6)
In: len(interval_index)
Out: 8958
In: len(df['position_start'])
Out: 125298
In: pd.cut(df['position_start'], interval_index)
---------------------------------------------------------------------------
ValueError Traceback (most recent call... | {
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Still testing this locally and on https://github.com/pandas-dev/pandas-ci/pull/6 | {
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custom `Exception` added primarily to allow more targeted testing, but also to distinguish sort failures and bad input to `safe_sort` | {
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```python
import pandas
import numpy as np
from itertools import product
df1 = pandas.DataFrame(product(['a', 'b'], range(3)), columns=['idx1', 'idx2'])
df2 = pandas.DataFrame(np.random.rand(6, 2), columns=['col1', 'col2'])
df = pandas.concat([df1, df2], a... | {
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I have this massive 200 million rows dataset, and I encountered some very annoying behavior. I wonder if this is a bug.
I load my csv using
```
mylog = pd.read_csv('/mydata.csv',
names = ['mydatetime', 'var2', 'var3', 'var4'],
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Example: `pd.read_json(filename, lines=True, dtype={'ColumnName':'category'})`.
fyi #21892
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```python
import pandas as pd
dti = pd.DatetimeIndex([], name='my_dti', freq='H')
print(dti.round('D')) # Name is preserved
print(dti.snap('D')) # Name is lost
```
#### Problem description
The DatetimeIndex.snap method loses the name of the Datet... | {
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This patch allows stubgen to run over the pandas codebase without generating errors | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25579 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25579/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25579/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25579/events | https://github.com/pandas-dev/pandas/pull/25579 | 418,053,677 | MDExOlB1bGxSZXF1ZXN0MjU4OTE1Njgx | 25,579 | fix minor typos in dsintro.rst | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/25580 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25580/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25580/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25580/events | https://github.com/pandas-dev/pandas/issues/25580 | 418,089,474 | MDU6SXNzdWU0MTgwODk0NzQ= | 25,580 | Int64 series resampling | {
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```python
>>> import pandas as pd
>>> index = pd.date_range('1/1/2000', periods=9, freq='T')
>>> series = pd.Series(range(9), index=index, dtype='Int64')
>>> series.resample('3T').sum()
AttributeError: 'IntegerArray' object has no attribute 's... | {
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```python
import pandas
# Works great
df1 = pandas.DataFrame([[20,'A'],[20,'B'],[10,'C']])
gb1 = df1.groupby(0).agg(pandas.Series.mode)
display(gb1)
# Exception: Must produce aggregated value
df2 = pandas.DataFrame([[20,'A'],[20,'B'],[30,'C']])
gb2 = df2.groupby(0).agg(pandas.Series.mode... | {
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import pandas as pd
aval = ['A','B','C']
bval = ['[0-10)','[10-20)','[20-30)']
df = pd.DataFrame({'A':aval, 'B':bval})
#case1
#df.loc[:,'num'] = df['B'].str.extract( r'^\[([0-9]{1,2})' )#fails
#case2
#df['num'] = df['B'].str.extract( r'^\[([0-9]{1,2})' )#works
#case3
df.loc[:,'num']=''
df... | {
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```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl... | {
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- [x] closes #25580
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- [x] closes #25575
- [x] tests added / passed
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```python
import pandas as pd
s = pd.Series([ 4, 5, 3 ,2 ], dtype="UInt32")
s.astype("int32").plot() # succeeds
s.plot() # fails
```
fails with
```
Traceback (most recent call last):
File "test_plot.py", line 7, in <module>
s.plot()
File ... | {
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- [x] closes #25557
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```python
import pandas as pd
df = pd.DataFrame(index=[1, 2], columns = list('ab'))
# Single assignment on existing column
df.loc[1, 'a'] = 1
# Multiple assignment on existing column
df.loc[2, ['a', 'b']] = [1, 2]
# Single assignment on new column
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# the following code is obtained from the documentation
# https://pandas.pydata.org/pandas-docs/stable/development/extending.html
import pandas as pd
class SubclassedSeries(pd.Series):
@property
def _constructor(self):
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- [x] closes #16718
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Fixes the 4th example in the above issue. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25604 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25604/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25604/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25604/events | https://github.com/pandas-dev/pandas/issues/25604 | 418,717,121 | MDU6SXNzdWU0MTg3MTcxMjE= | 25,604 | Series.to_json() >> pd.read_json() busted | {
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```python
import pandas as pd
import numpy as np
s = pd.Series( np.arange(100), index= np.arange(100) )
pd.read_json(s.to_json()) # >> ValueError: If using all scalar values, you must pass an index
pd.read_json(s.to_json(orient="split"), orient="split")... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25605 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25605/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25605/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25605/events | https://github.com/pandas-dev/pandas/issues/25605 | 418,738,726 | MDU6SXNzdWU0MTg3Mzg3MjY= | 25,605 | CI: Use the latest pep8speaks and remove custom configuration | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-03-08T10:59:07Z | 2019-04-28T15:30:22Z | 2019-04-28T15:30:22Z | MEMBER | null | Until now, pep8speaks used independent settings, and not the setuptools standard `setup.cfg`. This has been addressed in the latest version of pep8speaks, and we shouldn't need to repeat our configuration anymore: https://github.com/pandas-dev/pandas/blob/master/.pep8speaks.yml#L10
More info about the problem can be... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25606 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25606/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25606/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25606/events | https://github.com/pandas-dev/pandas/issues/25606 | 418,745,879 | MDU6SXNzdWU0MTg3NDU4Nzk= | 25,606 | Scatter plot incorrect when 2 columns have the same name | {
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] | closed | false | null | [] | null | 4 | 2019-03-08T11:19:37Z | 2019-03-13T16:11:59Z | 2019-03-13T05:25:26Z | CONTRIBUTOR | null | ```python
s1 = pd.Series(range(5), name="x")
s2 = pd.Series(range(10, 15), name="x") # The following would work with "y" instead
pd.concat([s1, s2], axis=1).plot.scatter(x=0, y=1)
```
#### Problem description
The first column should be plotted against the second one.
Instead, it is as if the two columns wer... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25607 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25607/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25607/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25607/events | https://github.com/pandas-dev/pandas/pull/25607 | 418,782,255 | MDExOlB1bGxSZXF1ZXN0MjU5NDcyMTg5 | 25,607 | Allows loc to create multiple new index | {
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] | closed | false | null | [] | null | 7 | 2019-03-08T13:15:35Z | 2019-04-20T17:43:37Z | 2019-04-20T17:43:37Z | NONE | null | - [x] closes #25594
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Starting in 0.21.0, using .loc or [] with a list with one or more missing labels, is deprecated. In the doc, only getting is shown:
https://pandas.pydata.org/pandas-docs/stable... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25608 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25608/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25608/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25608/events | https://github.com/pandas-dev/pandas/issues/25608 | 418,881,702 | MDU6SXNzdWU0MTg4ODE3MDI= | 25,608 | BUG: User-facing AssertionError with DataFrame.to_html(classes=<invalid type>) | {
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"color": "006b... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-03-08T17:24:31Z | 2019-03-10T21:36:39Z | 2019-03-10T21:36:39Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
pd.DataFrame().to_html(classes=True)
```
#### Problem description
```python-traceback
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\simon\OneDrive\code\pandas-simonjayhawkins\pand... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25609 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25609/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25609/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25609/events | https://github.com/pandas-dev/pandas/issues/25609 | 418,891,766 | MDU6SXNzdWU0MTg4OTE3NjY= | 25,609 | Remove makePanel Calls in Docs | {
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"description": "Functionality to remo... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-03-08T17:52:18Z | 2019-03-10T16:24:56Z | 2019-03-10T16:24:56Z | MEMBER | null | As a follow up to #25231 some exceptions are getting raised when building the docs as a result of calls to makePanel lingering around. Here's at least one section where this is occurring:
http://pandas-docs.github.io/pandas-docs-travis/getting_started/dsintro.html#deprecate-panel
Would want to remove these refere... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25610 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25610/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25610/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25610/events | https://github.com/pandas-dev/pandas/issues/25610 | 418,967,013 | MDU6SXNzdWU0MTg5NjcwMTM= | 25,610 | DataFrameGroupBy.ffill with Duplicate Column Labels ValueError | {
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"description": "np.nan, pd.NaT,... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-03-08T21:37:20Z | 2020-09-13T22:18:22Z | 2020-09-13T22:18:22Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
df1 = pd.DataFrame({'field1': [1, 2, 3, 4],
'field2': [1, 2, 3, 4],
'field3': [1, 2, 3, 4]
})
df2 = pd.DataFrame({'field1': [1, 2, np.nan, 4],
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25611 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25611/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25611/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25611/events | https://github.com/pandas-dev/pandas/issues/25611 | 418,991,436 | MDU6SXNzdWU0MTg5OTE0MzY= | 25,611 | Timestamp incorrectly handles datetime64 with exotic units | {
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... | open | false | null | [] | {
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... | 5 | 2019-03-08T23:04:07Z | 2020-03-02T23:25:16Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
>>> pd.Timestamp(np.datetime64('2019-01-01', '6h'))
Timestamp('1978-03-02 20:00:00')
```
#### Problem description
The `pd.Timestamp` constructor gives the wrong result when converting a `np.datetime64` that uses multiples of a standard unit. In t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25612 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25612/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25612/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25612/events | https://github.com/pandas-dev/pandas/pull/25612 | 418,998,684 | MDExOlB1bGxSZXF1ZXN0MjU5NjM5NzY5 | 25,612 | DOC: Remove makePanel from docs (#25609) | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2019-03-08T23:36:43Z | 2019-03-10T16:25:03Z | 2019-03-10T16:24:56Z | CONTRIBUTOR | null | - [x] closes #25609
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
As described in #25609, I removed the tm.makePanel() calls from the docs, along with some of the surrounding sections (a few "Deprecate Panel" sections). I did not replace thes... | {
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