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https://api.github.com/repos/pandas-dev/pandas/issues/25813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25813/events | https://github.com/pandas-dev/pandas/pull/25813 | 423,541,026 | MDExOlB1bGxSZXF1ZXN0MjYzMDkyNjE4 | 25,813 | BUG: Fix bug when using df.query with "str.contains()" | {
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"color": "37... | closed | false | null | [] | null | 6 | 2019-03-21T01:36:14Z | 2019-05-19T18:28:30Z | 2019-05-19T18:28:30Z | NONE | null | - [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Fixes bug in on line 588 of `pandas/core/computation/expr.py`: `AttributeError: 'dict' object has no attribute 'append'`
Also addresses the specific example in #22172
Example:
```python
impo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25814/events | https://github.com/pandas-dev/pandas/issues/25814 | 423,565,289 | MDU6SXNzdWU0MjM1NjUyODk= | 25,814 | Cannot use categorical IntervalIndex as index when creating pivot_table | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-03-21T04:07:16Z | 2019-06-13T20:41:44Z | 2019-06-13T20:41:44Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({"A":[1, 1, 2, 2], "B":[1,2,3,4]})
df['C'] = pd.cut(df['A'],[0,2])
df.pivot_table(index='C', values='B', aggfunc=np.sum)
```
#### Problem description
Cannot use IntervalIndex as index when creating pivot_table. It works fine o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25815/events | https://github.com/pandas-dev/pandas/issues/25815 | 423,584,278 | MDU6SXNzdWU0MjM1ODQyNzg= | 25,815 | wrong aggregated results when pivot_table index is ordered categorical data | {
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"followers_url": "https://api.github.com/users/j... | 8 | 2019-03-21T06:12:15Z | 2019-11-25T15:17:19Z | 2019-07-09T21:29:23Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
_c = np.arange(5,0,-1)
df = pd.DataFrame(np.stack([_c]*3).T, columns=['A', 'B', 'C'])
df["D"] = pd.Series(["A","B","B","A", "A"])
df["E"] = pd.cut(x=df["A"],bins=[0,3,6,10])
print(pd.pivot_table(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25816/events | https://github.com/pandas-dev/pandas/issues/25816 | 423,584,531 | MDU6SXNzdWU0MjM1ODQ1MzE= | 25,816 | Series.replace throws TypeError only on large dataset | {
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```python
d = 1000000
df = pd.DataFrame({'A': np.random.randint(1,100,d)})
mapvalue = {i: i+1 for i in range(d)}
res = df['A'].replace(mapvalue)
```
#### Problem description
This throws "_TypeError: Cannot compare types 'ndarray(dtype=int32)' and 'int'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25817 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25817/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25817/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25817/events | https://github.com/pandas-dev/pandas/pull/25817 | 423,590,505 | MDExOlB1bGxSZXF1ZXN0MjYzMTMwMjk3 | 25,817 | TST: Remove compat.PY2 and compat.PY3 flags from tests | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
These flags become trivial after dropping Python 2. There are still some Python 2 specific things that can be removed from the tests but this should eliminate a lot of the low hanging fruit.
Can sp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25818 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25818/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25818/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25818/events | https://github.com/pandas-dev/pandas/issues/25818 | 423,601,855 | MDU6SXNzdWU0MjM2MDE4NTU= | 25,818 | sort_index for MultiIndex DataFrame silently fill NaN for index column | {
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```python
mi = pd.MultiIndex.from_tuples([['A0', 'B0'],['A0', 'B1'],
['A1', 'B0'],['A1', 'B1'],['A3', np.nan] ], names=['ia','ib'])
df = pd.DataFrame(np.arange(10).reshape(5,2), mi,columns=['bar', 'foo'])
df2=df.copy()
df2.index.set_levels(['B1','B0'],level=1,inplace=True)
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25819/events | https://github.com/pandas-dev/pandas/issues/25819 | 423,661,882 | MDU6SXNzdWU0MjM2NjE4ODI= | 25,819 | Slow read_parquet in version 0.24.1 vs 0.23.3 | {
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import pandas as pd
df = pd.read_parquet("/data/train.parquet"
The time taken to read this file (size 8GB) is about 3 min with pandas version 0.24.1. This took less than 1 min with pandas version 0.23.3.
Any clue as to why this may happen?
Thanks!
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- passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
```
All benchmarks:
before after ratio
[85572de5] [445fbe56]
<master> <GH24813-inc-dec>
- 261±6ns 134±3ns 0.51 index_object.IntervalIndexMethod.time_monoton... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25821/events | https://github.com/pandas-dev/pandas/issues/25821 | 423,717,987 | MDU6SXNzdWU0MjM3MTc5ODc= | 25,821 | pandas read_sql con use sqlalchemy engine slow much than pymysql connection | {
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```python
import pandas as pd
import pymysql
import time
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
connect = pymysql.Connect(
host=host,
port=port,
user=user,
passwd=passwd,
db=db,
charset='... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25822/events | https://github.com/pandas-dev/pandas/pull/25822 | 423,732,815 | MDExOlB1bGxSZXF1ZXN0MjYzMjM3OTY4 | 25,822 | Implement --with-debugging-symbols switch in setup.py | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This implements a switch that enables building Pandas with debugging symbols - useful for debugging or profiling native parts of the code. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25823/events | https://github.com/pandas-dev/pandas/issues/25823 | 423,772,697 | MDU6SXNzdWU0MjM3NzI2OTc= | 25,823 | Logical operations on np.bool_ using pandas.eval raises TypeError | {
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"de... | open | false | null | [] | null | 6 | 2019-03-21T14:54:32Z | 2021-06-27T20:38:34Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas as pd
event = pd.Series({"a": "hello"})
pd.eval("event.str.match('hello').a") # returns numpy.bool_(True)
pd.eval("event.str.match('hello').a and event.str.match('hello').a") # raises TypeError
```
#### Problem de... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25824/events | https://github.com/pandas-dev/pandas/issues/25824 | 423,892,361 | MDU6SXNzdWU0MjM4OTIzNjE= | 25,824 | Core dump when converting to category with duplicate column names | {
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```python
import pandas as pd
import numpy as np
X = np.random.normal(size=(100, 2))
X_df = pd.DataFrame(X, columns=[0, 0])
X_df[0] = X_df[0].astype('category')
```
#### Problem description
Stack overflow in the Python interpreter
#### Expected Outpu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25825/events | https://github.com/pandas-dev/pandas/issues/25825 | 423,921,969 | MDU6SXNzdWU0MjM5MjE5Njk= | 25,825 | Plotting pd.Series object does not show year correctly | {
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I'm using Python 3.7.1 and Pandas 0.24.2.
I have a list called dateTimeList with date and time strings:
```
dateTimeList = ['15.3.2019 11:44:27', '15.3.2019 12:44:33', '15.3.2019 13:44:39']
```
I wrote this code where `index` is a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25827 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25827/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25827/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25827/events | https://github.com/pandas-dev/pandas/pull/25827 | 423,991,368 | MDExOlB1bGxSZXF1ZXN0MjYzNDQzODM1 | 25,827 | CI: exclude asv env directory from isort and tailing whitespace checks | {
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- [x] pandas/tests/arrays/ 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/25831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25831/events | https://github.com/pandas-dev/pandas/issues/25831 | 424,073,964 | MDU6SXNzdWU0MjQwNzM5NjQ= | 25,831 | Can't sort DataFrame when level=[] and sort_remaining=False | {
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... | 3 | 2019-03-22T07:08:00Z | 2021-06-27T20:39:05Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
# Create a DataFrame with a MultiIndex.
df = pd.DataFrame({
"a": [0, 2, 1],
"b": [3, 0, 2],
"c": [0, 0, 1]
}).set_index(["a", "b"])
# This works.
df.sort_index(level=[], sort_remaining=True)
# This throws an IndexError: list index out of rang... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25832/events | https://github.com/pandas-dev/pandas/issues/25832 | 424,129,329 | MDU6SXNzdWU0MjQxMjkzMjk= | 25,832 | python3.7 pip install pandas==0.22.0 error | {
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] | closed | false | null | [] | null | 1 | 2019-03-22T10:00:48Z | 2019-03-22T11:21:51Z | 2019-03-22T11:21:44Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
pip install pandas==0.22.0
```
#### Problem description
----------------------------------------
Command "c:\myprogram\anaconda37\python.exe c:\myprogram\anaconda37\lib\site-packages\pip install --ignore-installed --no-user --pr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25833/events | https://github.com/pandas-dev/pandas/issues/25833 | 424,140,800 | MDU6SXNzdWU0MjQxNDA4MDA= | 25,833 | RecursionError with self referencing column in str(df) on DataFrame | {
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"description": "__repr__ of pandas objec... | open | false | null | [] | null | 1 | 2019-03-22T10:28:59Z | 2020-09-22T04:05:45Z | null | NONE | null | ```python
# Your code here
b = a = pd.Series(
[2, 1, 3],
index=[2, 1, 3],
)
# display(b)
a['Hi'] = b
print(str(a))
```
This raises
```python
RecursionError: maximum recursion depth exceeded in __instancecheck__
```
It is annoying when this happens in interactive mode.
#### Expected Output
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25834/events | https://github.com/pandas-dev/pandas/issues/25834 | 424,210,763 | MDU6SXNzdWU0MjQyMTA3NjM= | 25,834 | Writing empty DataFrame to HDF file | {
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... | closed | false | null | [] | null | 1 | 2019-03-22T13:32:11Z | 2019-03-22T15:39:49Z | 2019-03-22T15:39:48Z | NONE | null | I am not able to save empy DataFrames to HDF files.
#### Code Sample #1
```python
import pandas as pd
df = pd.DataFrame(columns=['x','y'])
df.to_hdf('temp.h5', 'xxx')
df2 = pd.read_hdf('temp.h5', 'xxx')
```
#### Output #1
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25835/events | https://github.com/pandas-dev/pandas/issues/25835 | 424,225,099 | MDU6SXNzdWU0MjQyMjUwOTk= | 25,835 | MAC OS: sum over empy series with object dtype gives False | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2019-03-22T14:03:49Z | 2019-03-25T19:36:53Z | 2019-03-22T16:31:05Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas
pandas.Series(dtype='O').sum()
```
#### Problem description
Performing the above code segment with pandas 0.24.2 gives me
- (numpy.bool_) `False` on a Mac with homebrew python 3.6.4
- (int) `0` on a Windows 10 with Anaconda pyt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25836/events | https://github.com/pandas-dev/pandas/pull/25836 | 424,239,320 | MDExOlB1bGxSZXF1ZXN0MjYzNjM2MTAw | 25,836 | Safe version of ascii macros, add missing tolower_ascii | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-03-22T14:33:42Z | 2019-03-25T11:05:54Z | 2019-03-22T16:18:38Z | CONTRIBUTOR | null | - [x] fixes a warning introduced in #23981
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Using unparenthesized macro parameters is dangerous, so wrap `c` in braces.
Example warning fixed by adding `tolower_ascii()`:
```
In file included... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25837 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25837/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25837/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25837/events | https://github.com/pandas-dev/pandas/issues/25837 | 424,267,989 | MDU6SXNzdWU0MjQyNjc5ODk= | 25,837 | to_msgpack converts tuples of length 1 to str iff no object(str) columns are present. | {
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"gi... | [] | closed | false | null | [] | null | 2 | 2019-03-22T15:31:02Z | 2019-12-11T13:28:32Z | 2019-12-11T13:28:32Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
from pandas.testing import assert_frame_equal
for name, df in [
("mixed len tuples", pd.DataFrame({"x": [("one",), ("two", "three")]})),
("len(1) tuples", pd.DataFrame({"x": [("one",), ("two",)]})),
(
"le... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25838 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25838/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25838/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25838/events | https://github.com/pandas-dev/pandas/issues/25838 | 424,281,384 | MDU6SXNzdWU0MjQyODEzODQ= | 25,838 | ENH: keep='random' option for .duplicated and .drop_duplicates | {
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"description": "duplicat... | closed | false | null | [] | null | 3 | 2019-03-22T15:58:22Z | 2021-03-02T09:35:15Z | 2020-04-03T03:17:53Z | NONE | null | #### Enhancement description
The present implementation of `df.duplicated()` (and hence `df.drop_duplicates()`) only has two options for users that wish to keep exactly one from each set of duplicates (`'first'` and `'last'`). In some use cases, if the data is already ordered in some way, these options can potential... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25839 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25839/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25839/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25839/events | https://github.com/pandas-dev/pandas/issues/25839 | 424,403,835 | MDU6SXNzdWU0MjQ0MDM4MzU= | 25,839 | df.to_hdf5() in table append mode very slow with data_columns=True, append=True, index=False | {
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"default"... | open | false | null | [] | null | 2 | 2019-03-22T21:19:16Z | 2020-04-29T02:02:37Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.randint(123,456, size=(300,225)), columns=['COL'+str(i) for i in range(225)])
df.loc[:,:'COL10'] = df.loc[:,:'COL10'].astype(str)
df.loc[:,'COL11':'COL20'] = df.loc[:,'COL11':'COL... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25840 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25840/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25840/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25840/events | https://github.com/pandas-dev/pandas/pull/25840 | 424,408,262 | MDExOlB1bGxSZXF1ZXN0MjYzNzY5MjE3 | 25,840 | Remove chainmap_impl compat code | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25841 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25841/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25841/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25841/events | https://github.com/pandas-dev/pandas/pull/25841 | 424,410,922 | MDExOlB1bGxSZXF1ZXN0MjYzNzcxMzEz | 25,841 | Remove compat code in tseries | {
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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/25842 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25842/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25842/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25842/events | https://github.com/pandas-dev/pandas/issues/25842 | 424,415,067 | MDU6SXNzdWU0MjQ0MTUwNjc= | 25,842 | Usage Question: How to add/reindex leading and trailing dates | {
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] | closed | false | null | [] | null | 1 | 2019-03-22T21:59:04Z | 2019-03-23T02:04:13Z | 2019-03-23T02:04:07Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
df = pd.DataFrame.from_records(data=data, coerce_float=False, index=['date'])
# date field a datetime.datetime values
account_id amount
date
2018-01-01 1 100.0
2018-01-01 1 50.0
2018-0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25843 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25843/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25843/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25843/events | https://github.com/pandas-dev/pandas/issues/25843 | 424,438,022 | MDU6SXNzdWU0MjQ0MzgwMjI= | 25,843 | DataFrame (and Series?) constructor ignores request for naive datetime64 dtype when passed datetime64 objects with timezone | {
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```
import datetime
import pandas as pd
import pytz
dates = [
datetime.datetime(2019, 1, 1, 12, tzinfo=pytz.utc),
datetime.datetime(2018, 4, 1, 17, 13, tzinfo=pytz.utc),
]
df = pd.DataFra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25844 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25844/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25844/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25844/events | https://github.com/pandas-dev/pandas/pull/25844 | 424,454,950 | MDExOlB1bGxSZXF1ZXN0MjYzODA0MjQ4 | 25,844 | MyPy CI Configuration | {
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I think this is the minimal amount of work required to get MyPy configured for CI. Note that the list of files is the only [documented](https://mypy.readthedocs.io/en/latest/running_mypy.html#reading-a-list-of-files-from-a-file) way to whitelist things that I could find (see also https://github.c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25845 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25845/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25845/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25845/events | https://github.com/pandas-dev/pandas/pull/25845 | 424,462,461 | MDExOlB1bGxSZXF1ZXN0MjYzODA5MTA2 | 25,845 | CLN: Remove redundant definitions in pandas.compat (filter, map, range, etc.) | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Some more low hanging fruit in the Python 2 removal process. This should remove all references to the following functions in `pandas.compat` which are redundantly defined for Python 3:
- `filter`
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] | closed | false | null | [] | null | 4 | 2019-03-23T07:29:15Z | 2020-01-21T04:23:19Z | 2020-01-21T04:23:18Z | NONE | null | Hi All,
I have a pandas dataframe which I constructed after doing a crosstab. When I try to `reset_index()` it gives me an error. Saying `TypeError: cannot insert an item into a CategoricalIndex that is not already an existing category` this happens sometimes and does not happen sometimes. The pandas dataframe was c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25847 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25847/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25847/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25847/events | https://github.com/pandas-dev/pandas/issues/25847 | 424,475,957 | MDU6SXNzdWU0MjQ0NzU5NTc= | 25,847 | read_csv and dates: different date formats within the same column (one row month-day-year, anoher day-month-year) | {
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```python
import numpy as np
import pandas as pd
df=pd.DataFrame()
df['day'] =np.arange(1,32)
df['day']=df['day'].apply(lambda x: "{:0>2d}".format(x) )
df['month']='01'
df['year']='2018'
df['date']=df['day']+'/'+df['month']+'/'+df['year']
df.to_csv('mydates.csv', index=False)
#same res... | {
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```python
import numpy as np
import pandas as pd
import time
import timeit
start_time=time.time()
n=int(100e3)
out =pd.DataFrame()
out['day']=np.random.randint(1,12,n)
out['month']=np.random.randint(1,12,n)
out['year']=np... | {
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I'm using /anaconda3/bin/python
3.6.8 |Anaconda, Inc.| (default, Dec 29 2018, 19:04:46)
pandas 0.24.2
```python
import pandas as pd
```
#### Problem description
when running "import pandas as pd" I get:
-----------------------------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25850 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25850/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25850/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25850/events | https://github.com/pandas-dev/pandas/issues/25850 | 424,530,111 | MDU6SXNzdWU0MjQ1MzAxMTE= | 25,850 | Assignment to DataFrame not working but dtypes changed | {
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] | closed | false | null | [] | null | 1 | 2019-03-23T18:22:26Z | 2019-03-23T21:55:55Z | 2019-03-23T21:55:55Z | NONE | null | #### Code Sample
```python
# python version
# Python 3.7.2 (default, Feb 21 2019, 17:35:59) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32
import pandas as pd
import numpy as np
dataset = [[[i for i in range(5)], ] for i in range(5)]
dataset = pd.DataFrame(dataset, columns=['test']) # generate a t... | {
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PyDateTime_CheckExact is being used as a proxy for isinstance(obj, Timestamp) checks for performance reasons. However, if a subclass of the std datetime lib is being used, these checks are not sufficient to determine if an object is a Timestamp or not. Thus a perform... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Another incremental step in removing Python 2. Only non-standard changes were to `pandas/tests/test_strings.py` where I deleted a bunch of code, as removing `u` resulted in duplicate test scenarios. | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
PyDateTime_CheckExact is being used as a proxy for isinstance(obj, Timestamp) checks for performance reasons. However, if a subclass of the std datetime lib is being used, these... | {
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] | closed | false | null | [] | null | 4 | 2019-03-24T00:18:27Z | 2019-03-24T05:56:25Z | 2019-03-24T05:49:10Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
In[11]: import pandas as pd
test = pd.Series(data=r'Tech \u0026 Innovation', index=range(2))
# can replace a string directly
In[11]: test[0].replace('\\u0026', '&')
Out[11]: 'Tech & Innovation'
# str.replace does not work with the... | {
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```python
>>> import pandas as pd
>>> pd.read_sas("filename.sas7bdat")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib/python3.7/site-packages/pandas/io/sas/sasreader.py", line 61, in read_sas
chunksize=chunksiz... | {
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- [x] closes #xxxx
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [na] whatsnew entry
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idx=pd.date_range('1/1/2019', periods=5)
s = pd.Series([2,3, np.nan, 10,20], index=idx)
s.expanding(min_periods=1).count()
s.expanding(min_periods=100).count()
s.expanding(min_periods=10000).count()
```
#### Problem description
They should not be returning the same results because the Series has onl... | {
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```python
import pandas as pd
import numpy as np
labels = np.array([[0, 0,1,1],
[0, 1, 0, 1]])
columns = pd.MultiIndex(
levels=[["a", "b"], ['%', '#']], labels=labels, names=['', ''])
df = pd.DataFrame(
[[1,-1,1,1],[-1,1,1,1]],
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```python
In [1]: import pandas as pd
In [2]: intv1 = pd.IntervalIndex.from_arrays([1, 3, 5], [2, 4, 6])
In [3]: intv1
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More Python 2 removal. Could use a second pair of eyes to make sure the regex I used to make these fixes wasn't overzealous anywhere.
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-03-25T11:38:32Z | 2019-03-26T11:38:21Z | 2019-03-26T11:38:21Z | CONTRIBUTOR | null | I think some PRs yesterday broke pandas-wheels: https://travis-ci.org/MacPython/pandas-wheels/jobs/510798584, likely all the same issues: https://travis-ci.org/MacPython/pandas-wheels/builds/510798582
if someone can you do a quick PR to update (not easy to test unfort).
```
______________________ TestFactorize.t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25868 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25868/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25868/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25868/events | https://github.com/pandas-dev/pandas/pull/25868 | 424,896,860 | MDExOlB1bGxSZXF1ZXN0MjY0MTE2MTE0 | 25,868 | DOC: use substitution decorator for business month classes (#25828) | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2019-03-25T13:18:01Z | 2019-03-27T07:59:48Z | 2019-03-26T17:09:38Z | CONTRIBUTOR | null | - [X] closes #25828
- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Validation script
`CustomBusinessMonthEnd`
```
################################################################################
########## Docstring (pandas.tseries.offse... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25869 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25869/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25869/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25869/events | https://github.com/pandas-dev/pandas/issues/25869 | 425,072,938 | MDU6SXNzdWU0MjUwNzI5Mzg= | 25,869 | astype('datetime64[xx, UTC]') crashes if not nanoseconds | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2019-03-25T19:17:33Z | 2019-03-25T23:21:40Z | 2019-03-25T23:21:14Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({'foo': ['2000-01-01T00:00:00.000Z+00:00']})
xf = df.copy()
xf.foo = df.foo.astype('datetime64[ns, UTC]') # Works
xf.foo = df.foo.astype('datetime64[us]') # Works
xf.foo = df.foo.astype('datetime64[us, U... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25870 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25870/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25870/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25870/events | https://github.com/pandas-dev/pandas/issues/25870 | 425,108,606 | MDU6SXNzdWU0MjUxMDg2MDY= | 25,870 | pd.Series.reindex is not thread safe. | {
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```python
import traceback
import pandas as pd
import numpy as np
from multiprocessing.pool import ThreadPool
def f(arg):
s,idx = arg
try:
# s.loc[idx] # No problem
s.reindex(idx) # Fails
except Exception:
traceb... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25871 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25871/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25871/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25871/events | https://github.com/pandas-dev/pandas/issues/25871 | 425,115,275 | MDU6SXNzdWU0MjUxMTUyNzU= | 25,871 | groupby aggregation on ordered Categorial with 'observed=True' breaks order | {
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"followers_url": "https://api.github.com/users/j... | 7 | 2019-03-25T21:05:26Z | 2019-04-05T00:27:27Z | 2019-03-28T10:55:40Z | CONTRIBUTOR | null | #### Code Sample:
```python
import pandas as pd
# Create a DataFrame with an ordered categorical column, one category not present
df = pd.DataFrame(
dict(cat = pd.Series([3, 1, 2, 1, 3, 2],
dtype=pd.CategoricalDtype(
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https://api.github.com/repos/pandas-dev/pandas/issues/25872 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25872/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25872/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25872/events | https://github.com/pandas-dev/pandas/issues/25872 | 425,138,469 | MDU6SXNzdWU0MjUxMzg0Njk= | 25,872 | [BUG] dataframe.copy(deep=True) does not create a copy of dict objects | {
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```
# Create some example data
records = []
for i, x in enumerate(list('abcdefg')):
record = {
'id': i,
'letter': x
}
records.append(record)
df = pd.DataFrame({'data': records})
def _update_key_inplace(x):
# Modifies the dictionary object in-pla... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Gets rid of the following from `pandas.compat`:
- `intern`
- `reduce`
- `unichr`
- `wraps`
- `get_range_parameters`
- `class_types`
- `reload`
- also removed `set_defaultencoding` as it use... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25875 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25875/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25875/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25875/events | https://github.com/pandas-dev/pandas/issues/25875 | 425,233,741 | MDU6SXNzdWU0MjUyMzM3NDE= | 25,875 | test_time failure in CI logs | {
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https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=9836&view=logs&jobId=a69e7846-138e-5465-0656-921e8964615b&taskId=56da51de-fd5a-5466-5244-b5f65d252624&lineStart=42&lineEnd=95&... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25876 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25876/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25876/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25876/events | https://github.com/pandas-dev/pandas/pull/25876 | 425,240,032 | MDExOlB1bGxSZXF1ZXN0MjY0MzgzNDQz | 25,876 | CLN: Remove PY2/3 checks in cython files | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-03-26T05:57:23Z | 2019-03-26T15:22:54Z | 2019-03-26T11:39:51Z | MEMBER | null | - [x] xref #25725
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Remove PY2/3 checks in `pyx` files. | {
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... | closed | false | null | [] | null | 2 | 2019-03-26T06:59:26Z | 2019-10-31T14:41:52Z | 2019-10-31T14:41:52Z | NONE | null | Pandas Version: 0.24.1
#### Code Sample:
```python
import pandas as pd
import numpy as np
import datetime
def to_compact(df):
return pd.Series({'measurment_value': df['measurment_value'].values,
'measurement_time': df['measurement_time'].values})
data = [[0, 1.2, dat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25878 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25878/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25878/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25878/events | https://github.com/pandas-dev/pandas/issues/25878 | 425,262,745 | MDU6SXNzdWU0MjUyNjI3NDU= | 25,878 | pandas.DataFrame.applymap run not expected | {
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```python
>>> import numpy as np
>>> import pandas as pd
>>> df = pd.DataFrame([[1, 2.12], [3.356, 4.567]])
>>> df
0 1
0 1.000 2.120
1 3.356 4.567
>>> def test(x):
... print(x)
...
>>> df.applymap(lambda x: test(x))
1.0
3.356
1.0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25879 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25879/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25879/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25879/events | https://github.com/pandas-dev/pandas/issues/25879 | 425,305,174 | MDU6SXNzdWU0MjUzMDUxNzQ= | 25,879 | read_csv / read_excel interpret str as datetime | {
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```python
df2 = pd.read_excel('license_nvm_logins.xlsx', sheet_name='Common', dtype={'Total Usage':str})
df2.head(n=10)
```
```python
df2.dtypes()
User Name object
Feature Name object
Tag object
Machine Name object
Checkout Da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25880 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25880/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25880/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25880/events | https://github.com/pandas-dev/pandas/issues/25880 | 425,390,749 | MDU6SXNzdWU0MjUzOTA3NDk= | 25,880 | Int64Dtype conversion seems to casts to double first in the Series constructor | {
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"description": "Unexpected or buggy dtyp... | open | false | null | [] | null | 1 | 2019-03-26T12:33:18Z | 2021-06-27T20:41:38Z | null | NONE | null | Constructing a `Series` with `dtype=Int64Dtype()` suggests that there can be an intermiediate conversion to double if the input contains `NaN`s:
```
import pandas as pd
n = 2**62+5
print(n, int(float(n)))
print(pd.Series([n, float('nan')]))
print(pd.Series([n, float('nan')], dtype=pd.Int64Dtype()))
print(pd.Seri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25881 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25881/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25881/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25881/events | https://github.com/pandas-dev/pandas/issues/25881 | 425,416,798 | MDU6SXNzdWU0MjU0MTY3OTg= | 25,881 | .at does not work using a categorical index. | {
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"color": "e1... | closed | false | null | [] | null | 1 | 2019-03-26T13:26:08Z | 2019-11-26T14:30:48Z | 2019-11-26T14:30:48Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({
"x": pd.Categorical(["a", "b", "c"]),
"y": [10, 20, 30]}
).set_index("x")
print(df.index)
print(df.loc["a"]["y"])
print(df.at["a", "y"])
```
#### Problem description
Loc works using a categorical index, at does... | {
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... | 10 | 2019-03-26T15:55:46Z | 2019-06-25T12:34:26Z | 2019-06-25T12:34:26Z | MEMBER | null | #25844 introduced a blacklist of modules in the mypy.ini config file which currently throw errors when analyzed with mypy. We would ideally be able to whittle these down (save exclusion of the test folder(s), which I think is fine).
I'm not sure there is one easy way to split it up as the degree of difficulty may va... | {
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```python
import time
import numpy as np
import pandas as pd
nrows, ncols = 1000, 100
# data frame with random values and a key to be grouped by
df = pd.DataFrame(np.random.rand(nrows, ncols))
df["key"] = range(nrows)
numeric_columns = list(range(ncols))
grouping = df.groupby(by="... | {
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Haven't used these yet as wanted to agree on type first. I wouldn't be surprised if we start seeing some issues pop up that would require real development changes once these ge... | {
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SqlDataReader reader = myCommand.ExecuteReader(CommandBehavior.CloseConnection);
int row_index = 2;
while (reader.Read())
{
... | {
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"default"... | open | false | null | [] | null | 4 | 2019-03-26T21:46:23Z | 2020-06-05T17:28:20Z | null | CONTRIBUTOR | null | Hello,
Creating an empty dataframe with specified columns
```python
pd.__version__
# '0.24.2'
%timeit pd.DataFrame([], columns=['a'])
# 1.57 ms ± 20.9 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
```
is way slower than it should be:
```python
%timeit pd.DataFrame([])
# 184 µs ± 1.68 µs per l... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Not needed after dropping Python 2. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25890 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25890/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25890/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25890/events | https://github.com/pandas-dev/pandas/issues/25890 | 425,834,804 | MDU6SXNzdWU0MjU4MzQ4MDQ= | 25,890 | Convert Dataframe to JSON | {
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```python
price
item_name timestamp
item1 2018-10-12 12.2
2018-10-13 14.3
2018-10-14 17.1
item2 2018-10-12 11.4
2018-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25891 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25891/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25891/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25891/events | https://github.com/pandas-dev/pandas/issues/25891 | 425,874,886 | MDU6SXNzdWU0MjU4NzQ4ODY= | 25,891 | MultiIndex level dropped when multiplying two series with a single entry | {
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"description": "Arithmetic, Comparison, ... | open | false | null | [] | null | 3 | 2019-03-27T10:22:49Z | 2021-06-28T02:05:26Z | null | NONE | null | When multiplying two Series with overlapping MultiIndices and a _single_ entry, pandas drops levels from the MultiIndex. This doesn't happen when either Series contains multiple entries.
Using pandas 0.24.1 and Numpy 1.16.2
#### This works fine
```python
# Create Series s1, with a scope over {T, N} and set two ... | {
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When using GroupBy.apply on function that applies pandas.DataFrame.sort_values() **with inplace=True** and also **data-frame slicing**, the first group is evaluated N times (N is the original number of the groups).
See the following code and output:
```python
>>> import numpy as np
>>> import pandas as p... | {
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```python
import pandas as pd
df = pd.read_csv('file.csv', index_col=0, parse_dates=True)
while True:
df['close'].rolling(4000).max()
```
#### Problem description
Memory leak which shuts down my application. This occurs in pandas 0.24.2 but not in pa... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-03-27T15:13:50Z | 2020-01-16T00:34:15Z | 2019-03-27T20:44:44Z | MEMBER | null | Workaround for #25875 to get CI passing - I kept intact the working part of the test and split off the failing piece into a separate test, which may be more explicit anyway
Haven't been able to reproduce this locally so plan to either keep the original issue open or create a new one for a more permanent fix, which m... | {
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- [x] tests added - `test_parsers_iso8601_leading_space`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This is a follow-up PR for #25754 which adds a utility method for getting internal `char *` buffer from `unicode` or `bytes` Python object and switch ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25896 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25896/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25896/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25896/events | https://github.com/pandas-dev/pandas/issues/25896 | 426,166,436 | MDU6SXNzdWU0MjYxNjY0MzY= | 25,896 | Cumulative Ops with skipna=True Don't Ignore NA Values | {
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import numpy as np
import pandas as pd
df = pd.DataFrame({"a": ["x", "x", "x", "y", "y", "y"],
"b": [np.nan, 2.0, 1.0, 2.0, np.nan, 1.0]})
df
# a b
# 0 x NaN
# 1 x 2.0
# 2 x 1.0
# 3 y 2.0
# 4 y NaN
# 5 y 1.0
df.groupby("a")["b"].cummax()
# 0 NaN
# 1 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25897 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25897/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25897/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25897/events | https://github.com/pandas-dev/pandas/issues/25897 | 426,177,857 | MDU6SXNzdWU0MjYxNzc4NTc= | 25,897 | BUG: DatetimeIndex from datetime.datetime shifted by n minutes | {
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```python
import pandas as pd
import datetime as dt
import pytz
tz = pytz.timezone('America/New_York')
data1 = pd.DataFrame([
{'date': dt.datetime(2019, 1, 1, tzinfo=tz), 'value': 10},
{'date': dt.datetime(2019, 1, 1, tzinfo=tz), 'value': 10},
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25898 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25898/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25898/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25898/events | https://github.com/pandas-dev/pandas/pull/25898 | 426,253,400 | MDExOlB1bGxSZXF1ZXN0MjY1MTU2MjYw | 25,898 | TST: Check merging on equivalent CategoricalDtype | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25899 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25899/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25899/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25899/events | https://github.com/pandas-dev/pandas/issues/25899 | 426,264,020 | MDU6SXNzdWU0MjYyNjQwMjA= | 25,899 | Fix Type Annotations in pandas/_config/config.py | {
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Current errors are as follows:
```sh
pandas/_config/config.py:60: error: Need type annotation for '_deprecated_options'
pandas/_config/config.py:61: error: Need type annotation for '_registered_options'
pandas/_config/config.py:62: error: Need type annotation for '_global_config'
```
Should ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25900 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25900/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25900/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25900/events | https://github.com/pandas-dev/pandas/pull/25900 | 426,268,042 | MDExOlB1bGxSZXF1ZXN0MjY1MTY2MDU4 | 25,900 | Remove pandas.io.formats.css from MyPy Blacklist | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-03-28T02:37:56Z | 2019-03-29T02:50:17Z | 2019-03-28T21:29:10Z | MEMBER | null | There was a seemingly unused class variable which was failing mypy due to a lack of annotation. On closer inspection however it doesn't appear that this was even used, so I figured deletion makes things simpler.
I suppose if this was subclassed it could have some effect but this isn't part of the exposed API
@jno... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25901/events | https://github.com/pandas-dev/pandas/issues/25901 | 426,282,499 | MDU6SXNzdWU0MjYyODI0OTk= | 25,901 | Fix Type Annotations in pandas.core.generic | {
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Current errors are as follows:
```sh
pandas/core/generic.py:116: error: Need type annotation for '_accessors'
pandas/core/generic.py:119: error: Need type annotation for '_metadata'
```
Both of these are containers which should contain strings, so just need proper annotation and this module c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25902/events | https://github.com/pandas-dev/pandas/issues/25902 | 426,288,089 | MDU6SXNzdWU0MjYyODgwODk= | 25,902 | Fix Type Annotations in pandas.core.strings | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Removes the following:
- `string_types`
- `text_types`
- `binary_types`
- `string_and_binary_types`
- `strlen`
- only used once and in PY3 is equivalent to `len`, so just directly called `len`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25904/events | https://github.com/pandas-dev/pandas/pull/25904 | 426,292,423 | MDExOlB1bGxSZXF1ZXN0MjY1MTgyNDgx | 25,904 | Cleanup Typing in pandas.core.strings | {
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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/25905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25905/events | https://github.com/pandas-dev/pandas/issues/25905 | 426,301,681 | MDU6SXNzdWU0MjYzMDE2ODE= | 25,905 | "errors" parameter has no effect on pd.DataFrame.astype if a dictionary is passed in as the dtype argument | {
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"color": "370f... | closed | false | null | [] | null | 2 | 2019-03-28T05:11:11Z | 2019-04-01T18:44:01Z | 2019-04-01T18:44:01Z | NONE | null | #### Code Sample, a copy-pastable example if possible
Given the code sample below:
```python
data_df = pd.DataFrame([{'col_a': '1', 'col_b': '16.5%', 'col_c': 'test'},
{'col_a': '2.2', 'col_b': '15.3', 'col_c': 'another_test'}
])
type_dict = {'col_a': 'float64'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25906 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25906/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25906/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25906/events | https://github.com/pandas-dev/pandas/issues/25906 | 426,325,288 | MDU6SXNzdWU0MjYzMjUyODg= | 25,906 | groupby-apply got different output with for loop in same action | {
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"id": ... | closed | false | null | [] | null | 2 | 2019-03-28T06:45:10Z | 2019-03-28T12:42:32Z | 2019-03-28T12:42:16Z | NONE | null | #### data csv download link
https://mega.nz/#!XjZWyYDT!EezOrZJglcwqytA5bIgc6-VoiEMGB7R0Tu8CG-QjV5w
#### Problem description
I have a Stock Time Series, I only take 4 ts_code(stock code) and other 3 useful columns to recurrent problem，you can download throgh link.
#### read data
```
df = pd.read_csv('stock.csv... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25907 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25907/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25907/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25907/events | https://github.com/pandas-dev/pandas/pull/25907 | 426,429,899 | MDExOlB1bGxSZXF1ZXN0MjY1MjgyNzYx | 25,907 | BUG: Fix groupby sorting on ordered Categoricals (GH25871) | {
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Specifically, group labels will be ordered by first occurrence (as for an unordered Categorical), but grouped aggregation results will retain the Categorical's order.
The fix is a modified subset ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25908 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25908/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25908/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25908/events | https://github.com/pandas-dev/pandas/pull/25908 | 426,441,341 | MDExOlB1bGxSZXF1ZXN0MjY1MjkxNjg5 | 25,908 | BUG: Fix groupby sorting on ordered Categoricals (GH25871) | {
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"followers_url": "https://api.github.com/users/j... | 16 | 2019-03-28T11:29:16Z | 2019-04-05T09:33:48Z | 2019-04-05T00:27:11Z | CONTRIBUTOR | null | As documented in #25871, groupby() on an ordered Categorical messes up category order when 'observed=True' is specified.
Specifically, group labels will be ordered by first occurrence (as for an unordered Categorical), but grouped aggregation results will retain the Categorical's order.
The fix is a modified subset ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25909 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25909/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25909/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25909/events | https://github.com/pandas-dev/pandas/pull/25909 | 426,479,285 | MDExOlB1bGxSZXF1ZXN0MjY1MzIxMjk0 | 25,909 | Fix type annotation for pandas.core.generic.py | {
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"followers_url": "https://api.github.com/users/j... | 17 | 2019-03-28T13:01:24Z | 2019-04-16T12:21:01Z | 2019-04-16T12:17:42Z | CONTRIBUTOR | null | Also remove this module from mypy.ini
- [x] closes #25901
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/25910 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25910/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25910/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25910/events | https://github.com/pandas-dev/pandas/issues/25910 | 426,503,340 | MDU6SXNzdWU0MjY1MDMzNDA= | 25,910 | CI: build failing because of gbq testing | {
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"followers_url": "https://api.github.com/users/j... | 7 | 2019-03-28T13:50:47Z | 2019-03-28T17:05:01Z | 2019-03-28T16:54:57Z | CONTRIBUTOR | null | see https://github.com/pandas-dev/pandas/pull/25554#issuecomment-477602786
added back the gbq dep and this is now failing. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25911 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25911/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25911/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25911/events | https://github.com/pandas-dev/pandas/issues/25911 | 426,515,605 | MDU6SXNzdWU0MjY1MTU2MDU= | 25,911 | Inner dictionaries are not displaying in insertion order | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2019-03-28T14:13:54Z | 2019-05-28T10:48:54Z | 2019-04-02T17:07:57Z | NONE | null | #### Code Sample
```python
newspapers = {'Jim':{'Mon':15,'Tue':17,'Wed':21,'Thu':16,'Fri':19},\
'Tony':{'Mon':8,'Tue':15,'Wed':11,'Thu':16,'Fri':13}, \
'Colin':{'Mon':13,'Tue':17,'Wed':19,'Thu':17,'Fri':20} \
}
newspapers_df = pd.DataFrame(newspapers)
print(newspapers_df)
```
#### Problem descr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25912/events | https://github.com/pandas-dev/pandas/pull/25912 | 426,516,731 | MDExOlB1bGxSZXF1ZXN0MjY1MzUxMDE0 | 25,912 | Fix pandas-gbq deps | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2019-03-28T14:15:54Z | 2019-03-28T17:48:21Z | 2019-03-28T16:54:58Z | CONTRIBUTOR | null | Should close #25910, see https://github.com/pandas-dev/pandas/issues/25910#issuecomment-477611959. @jreback | {
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