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https://api.github.com/repos/pandas-dev/pandas/issues/26013 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26013/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26013/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26013/events | https://github.com/pandas-dev/pandas/issues/26013 | 430,048,447 | MDU6SXNzdWU0MzAwNDg0NDc= | 26,013 | Fix type annotations in pandas.tseries.* | {
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pandas.tseries files currently have these errors:
```
pandas/tseries/frequencies.py:40: error: Need type annotation for '_offset_map'
pandas/tseries/holiday.py:332: error: Need type annotation for 'rules'
pandas/tseries/offsets.py:1656: error: Incompatible types in assignment (expression has t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26015 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26015/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26015/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26015/events | https://github.com/pandas-dev/pandas/pull/26015 | 430,051,010 | MDExOlB1bGxSZXF1ZXN0MjY4MDQ2Mjk2 | 26,015 | Improve dictionary map performance on category series, fixes #23785 | {
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- [x] tests added / passed
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Uses the built-in categorical series mapper when mapping categorical series with dictionaries or series (i.e., as opposed to with lambada functions) instead of reindexing in ord... | {
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- [x] tests passed
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Replace `compat.signature` for `inspect.getfullargspec` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26019 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26019/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26019/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26019/events | https://github.com/pandas-dev/pandas/pull/26019 | 430,155,537 | MDExOlB1bGxSZXF1ZXN0MjY4MTEzMDcz | 26,019 | TYP: Replace wildcardimports in toplevelinit as precursor for reshape,stata,io PRs #25936 #25940 #25939 | {
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pandas.plotting._core currently has these errors:
```
pandas/plotting/_core.py:958: error: Incompatible types in assignment (expression has type "str", base class "MPLPlot" defined the type as "None")
pandas/plotting/_core.py:1177: error: Incompatible types in assignment (expression has type "str",... | {
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- [X] tests 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/26022 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26022/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26022/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26022/events | https://github.com/pandas-dev/pandas/pull/26022 | 430,172,234 | MDExOlB1bGxSZXF1ZXN0MjY4MTI0MTAx | 26,022 | BUG: Replace internal use of loc with reindex in DataFrame append | {
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"followers_url": "https://api.github.com/users/j... | 10 | 2019-04-07T17:40:41Z | 2019-04-21T16:21:07Z | 2019-04-21T16:21:00Z | CONTRIBUTOR | null | The issue here was that the DataFrame append method was using .loc, which only throws a warning now, but would eventually throw a KeyError whenever that went into effect. Just swapped out that use of .loc for .reindex.
- [x] closes #22252
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26023/events | https://github.com/pandas-dev/pandas/issues/26023 | 430,193,742 | MDU6SXNzdWU0MzAxOTM3NDI= | 26,023 | pd.DataFrame.to_csv('filename.zip') doesn't extract with a '.csv' extension | {
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... | 7 | 2019-04-07T21:19:59Z | 2021-03-15T10:31:20Z | 2019-08-26T14:27:41Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({'name': ['Raphael', 'Donatello'], 'mask': ['red', 'purple']})
# When trying to create a compressed csv, these give odd results.
df.to_csv('out.csv', compression='zip') # --> zip file named 'out.csv' containing csv file 'out.csv'... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/26025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26025/events | https://github.com/pandas-dev/pandas/issues/26025 | 430,261,263 | MDU6SXNzdWU0MzAyNjEyNjM= | 26,025 | DataFrame.eval column creation slow due to overhead | {
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```python
df = pd.DataFrame({'a':np.random.uniform(size=int(1e7)),
'b':np.random.uniform(size=int(1e7))})
%%timeit
df['c'] = df['a'] + df['b']
41.7 ms ± 2.78 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
%%timeit
df.eval('... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26026 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26026/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26026/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26026/events | https://github.com/pandas-dev/pandas/issues/26026 | 430,267,234 | MDU6SXNzdWU0MzAyNjcyMzQ= | 26,026 | Problem with reading .dat file with missing data | {
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```python
# Your code here
df=pd.read_table('out_missingdata.dat',sep='\s+',header=None)
print(df.iloc[:37,:])
```
#### Problem description
I have a .dat file with three columns with some columns having missing values(empty) and delimiter is a whitespace.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26027/events | https://github.com/pandas-dev/pandas/pull/26027 | 430,478,337 | MDExOlB1bGxSZXF1ZXN0MjY4MzU3MzIx | 26,027 | ENH: partial string match in query | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This PR proposes to add partial string matching functionality to `query` method. In the proposed implementation, a query like `df... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26028 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26028/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26028/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26028/events | https://github.com/pandas-dev/pandas/issues/26028 | 430,572,179 | MDU6SXNzdWU0MzA1NzIxNzk= | 26,028 | Fix Type Annotations in pandas.core.dtypes | {
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pandas.core.dtypes.dtypes and .missing have the following errors:
```
pandas/core/dtypes/dtypes.py:112: error: Need type annotation for 'shape'
pandas/core/dtypes/dtypes.py:117: error: Need type annotation for '_cache'
pandas/core/dtypes/dtypes.py:175: error: Definition of "type" in base class "Pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26029/events | https://github.com/pandas-dev/pandas/pull/26029 | 430,685,391 | MDExOlB1bGxSZXF1ZXN0MjY4NTIwMjg1 | 26,029 | Fix type annotations in pandas.core.dtypes | {
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- [X] tests passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
This one was more complicated than other annotation corrections I've done. The following errors persisted even if the two type definitions in `PandasExtensionDtype` and `ExtensionDtype` were identical:
```
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"default": false,... | closed | false | null | [] | null | 4 | 2019-04-09T07:47:21Z | 2019-04-10T16:52:45Z | 2019-04-09T23:03:27Z | NONE | null | I attempted to use `to_sql` to insert into a Postgres table with a non-lowercase identifier. No error was raised in python, but the insert did not succeed:
```python
import pandas as pd
import sqlalchemy
df = pd.DataFrame({
u'id': [1, 2],
u'name': [u'foo', u'bar'],
})
engine = sqlalchemy.create_en... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26031/events | https://github.com/pandas-dev/pandas/issues/26031 | 430,880,539 | MDU6SXNzdWU0MzA4ODA1Mzk= | 26,031 | Series: inconsistent behavior of setting value with timestamp dtype for existed index and newly-added | {
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... | 8 | 2019-04-09T10:05:22Z | 2019-12-10T22:20:59Z | 2019-12-10T22:20:58Z | NONE | null |
```python
sample = pd.Series([1,2],index=['a','b'])
ts = pd.Timestamp('2019-01-01')
sample['a'] = ts
sample['c'] = ts
print(sample)
```
#### output:
```
a 2019-01-01 00:00:00
b 2
c 1546300800000000000
dtype: object
```
#### Problem description
With existed index `a`, th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26032/events | https://github.com/pandas-dev/pandas/issues/26032 | 431,029,011 | MDU6SXNzdWU0MzEwMjkwMTE= | 26,032 | Series.all much slower than Series.values.all | {
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... | 5 | 2019-04-09T15:22:32Z | 2020-09-24T03:27:39Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Series of bools
s = pd.Series(np.random.randint(0, 2, 100000)).astype(bool)
# ~1.45 ms
%timeit s.any(skipna=True)
# ~1.35 ms
%timeit s.any(skipna=False)
# ~6.5 us - Note that I get a message about possible caching, but
# even after m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26033 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26033/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26033/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26033/events | https://github.com/pandas-dev/pandas/issues/26033 | 431,051,750 | MDU6SXNzdWU0MzEwNTE3NTA= | 26,033 | Reverse Arithmetic operations between pandas series and custom objects | {
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```python
class MyObject():
__array_priority__ =1000 # So __radd__ of this class is called
def __init__(self,s=None):
if s is None:
self.s = pd.Series([1,2,4])
def __radd__(self,other):
print("Series is passed... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26034/events | https://github.com/pandas-dev/pandas/issues/26034 | 431,170,358 | MDU6SXNzdWU0MzExNzAzNTg= | 26,034 | Merge two time series and apply a function to overlapping dates | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2019-04-09T20:15:56Z | 2019-04-09T20:54:41Z | 2019-04-09T20:35:40Z | NONE | null | #### Problem/Enhancement description
Is there a standard way to take two dataframes that have a DateTimeIndex and do a time series join where same dates will be together on the same day and allow me to apply a function to it in order to choose which value to take if more than one fall on the same day?
If this fun... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26035/events | https://github.com/pandas-dev/pandas/issues/26035 | 431,196,991 | MDU6SXNzdWU0MzExOTY5OTE= | 26,035 | Enhancement: Merge two time series and apply a function to overlapping dates | {
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"de... | closed | false | null | [] | null | 2 | 2019-04-09T21:06:43Z | 2021-07-02T05:20:24Z | 2021-07-02T05:20:24Z | NONE | null | Enhancement description
A standard way to take two dataframes that have a DateTimeIndex and do a time series join where same dates will be together on the same day and allow me to apply a function to it in order to choose which value to take if more than one fall on the same day.
If this functionality doesn't exist... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26036 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26036/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26036/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26036/events | https://github.com/pandas-dev/pandas/pull/26036 | 431,277,390 | MDExOlB1bGxSZXF1ZXN0MjY4OTg3NzE4 | 26,036 | CLN: Remove PY35 flag from pandas.compat | {
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- [X] tests passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
The `PY35` flag is always `True` after dropping Python 2, as Python 3.5 is now the lowest supported version.
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https://api.github.com/repos/pandas-dev/pandas/issues/26037 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26037/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26037/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26037/events | https://github.com/pandas-dev/pandas/pull/26037 | 431,292,227 | MDExOlB1bGxSZXF1ZXN0MjY4OTk4NTg0 | 26,037 | DOC: Fix quotes position in pandas.core (#24071) | {
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] | closed | false | null | [] | null | 6 | 2019-04-10T03:54:49Z | 2019-05-12T21:23:05Z | 2019-05-12T21:23:05Z | CONTRIBUTOR | null | - [x] closes #24071
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
`./scripts/validate_docstrings.py --prefix=pandas.core --errors=GL01,GL02` is now silent. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26038 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26038/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26038/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26038/events | https://github.com/pandas-dev/pandas/pull/26038 | 431,335,024 | MDExOlB1bGxSZXF1ZXN0MjY5MDMxMTA0 | 26,038 | CLN: parse_date compat function | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
More `compat/__init__.py` cleaning.
Remove `parse_date` in favor of `dateutil.parser.parse` directly. pandas min dateutil version is 2.5.0 so the import check is unnecessary. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26039 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26039/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26039/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26039/events | https://github.com/pandas-dev/pandas/issues/26039 | 431,480,603 | MDU6SXNzdWU0MzE0ODA2MDM= | 26,039 | Comparing Timedelta and NaT gives inconsistent results depending on order | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-04-10T12:40:03Z | 2019-04-28T16:39:55Z | 2019-04-28T16:39:54Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
In [2]: pd.Timedelta(0) > pd.Timedelta(None) ... | {
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The docstring for `pandas.date_range()`'s `closed` argument says:
```
closed : {None, 'left', 'right'}, optional
Make the interval closed with respect to the given frequency to
the 'left', 'right', or both sides (None, the default).
```
Basically, this argument set... | {
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```python
import pandas as pd
from dateutil import parser as date_parser
def perform_operations_that_change_dtype(df):
# If df is a single row DataFrame, the type of the
# datetime columns will be changed to object.
for x in df.columns:
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] | closed | false | null | [] | null | 8 | 2019-04-10T17:42:46Z | 2021-05-03T12:44:08Z | 2019-04-30T09:35:46Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
df_ = pd.DataFrame([predicted_labels])
display(df_)
df_.to_csv('person.csv',index=False)
```
#### Problem description
Actually I don't want index in my csv file so I set index = false but It's not resolving the issue, my CSV fi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26043 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26043/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26043/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26043/events | https://github.com/pandas-dev/pandas/pull/26043 | 431,640,762 | MDExOlB1bGxSZXF1ZXN0MjY5MjcxMjkx | 26,043 | PERF: changed default value of cache parameter to True in to_datetime function | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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I want to sort a data frame by a series that has both string and numeric values. Today I have a sequence of commands that seems to 'work', except when the .drop_duplicates method is used. Along the way I had some trouble because a series that has both letters and numbers cannot be used to sort, and... | {
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```python
In [1]: import pandas as pd; pd.__version__
Out[1]: '0.25.0.dev0+389.g6d9b702a66'
In [2]: bins = [pd.Timestamp.min, pd.Timestamp('2018-01-01'), pd.Timestamp.max]
In [3]: values = pd.date_range('2017-12-31', periods=3)
In [4]: pd.cut(values, b... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [X] tests passed
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https://api.github.com/repos/pandas-dev/pandas/issues/26049 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26049/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26049/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26049/events | https://github.com/pandas-dev/pandas/issues/26049 | 431,883,339 | MDU6SXNzdWU0MzE4ODMzMzk= | 26,049 | Column dtype change on write of improper value | {
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... | 5 | 2019-04-11T08:01:13Z | 2020-11-10T17:50:45Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
df = pd.DataFrame(columns=['col1'], data=[1,2,3,4], dtype='uint8')
print('original dtypes:')
print(df.dtypes)
print()
print('original data frame:')
print(df)
print()
df.loc[2,'col1']=300
print('dtypes after write operation:')
print(df.dtypes)
print()
print(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26050 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26050/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26050/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26050/events | https://github.com/pandas-dev/pandas/issues/26050 | 431,919,816 | MDU6SXNzdWU0MzE5MTk4MTY= | 26,050 | Problem with DataFrame.replace using None | {
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] | closed | false | null | [] | null | 7 | 2019-04-11T09:25:05Z | 2020-09-03T09:21:39Z | 2020-04-25T12:40:03Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
ar = np.random.normal(size=[100,10])
df = pd.DataFrame(ar).astype(str)
df.replace('0',None)
```
#### Problem description
Every time I run something similar to this (replacing, in a string DataFrame/Da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26051 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26051/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26051/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26051/events | https://github.com/pandas-dev/pandas/issues/26051 | 431,967,399 | MDU6SXNzdWU0MzE5NjczOTk= | 26,051 | to_excel cannot handle large sheet | {
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"color": "bfe5... | closed | false | null | [] | {
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For **extremely** large sheets (row_num > 1048576, col_num > 16384), see [the code of XlsxWriter Engine](https://github.com/jmcnamara/XlsxWriter/blob/master/xlsxwriter/worksheet.py#L183), area which exceeds the limit won't be printed.
**_However, no error or warning is raised._**
#### Ex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26052 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26052/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26052/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26052/events | https://github.com/pandas-dev/pandas/issues/26052 | 431,967,405 | MDU6SXNzdWU0MzE5Njc0MDU= | 26,052 | pd.to_hdf throws AttributeError: module 'tables' has no attribute '__version__' | {
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] | closed | false | null | [] | null | 2 | 2019-04-11T11:17:58Z | 2019-04-16T10:39:33Z | 2019-04-16T10:39:33Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]},index=['a', 'b', 'c'])
df.to_hdf('data.h5', key='df... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26053 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26053/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26053/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26053/events | https://github.com/pandas-dev/pandas/issues/26053 | 432,046,943 | MDU6SXNzdWU0MzIwNDY5NDM= | 26,053 | sort_index throws IndexError for some permutations | {
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```python
df = pd.DataFrame(list(range(8)))
a.index = pd.MultiIndex.from_product([[0,1]]*3)
a.sort_index(level=[1,2,0])
```
#### Problem description
This throws an `IndexEror: pop index out of range`.
If I change the order to `[2,0,1]`, it doesn't.
python: 3.6.6.final.0
pandas: 0.24.2
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] tests added / passed | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26055 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26055/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26055/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26055/events | https://github.com/pandas-dev/pandas/pull/26055 | 432,236,576 | MDExOlB1bGxSZXF1ZXN0MjY5NzQ2OTIx | 26,055 | BUG: rolling.count with axis=1 | {
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"followers_url": "https://api.github.com/users/j... | 20 | 2019-04-11T20:37:07Z | 2019-04-28T16:45:44Z | 2019-04-28T16:45:40Z | CONTRIBUTOR | null | - [ ] closes #13503
- [X] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Added axis parameter to the constructor call in the count function, fixing the original issue in #13503. This fix works for the example given in the issue. This does not fix the ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26056 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26056/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26056/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26056/events | https://github.com/pandas-dev/pandas/issues/26056 | 432,366,566 | MDU6SXNzdWU0MzIzNjY1NjY= | 26,056 | can we execute sql on dataframe like spark? | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2019-04-12T03:05:40Z | 2019-04-12T06:47:18Z | 2019-04-12T06:47:13Z | NONE | null | Like spark-sql,can we execute sql on dataframe to transform data ?
for example:
```python
import pandas as pd
df=pd.DataFrame({"a":[1,1,2],"b":[2,3,4]})
df
# a b
# 0 1 2
# 1 1 3
# 2 2 4
df.create_temp_view("t")
result=df.sql("select a, sum(b) from t group by a")
result
# a sum(b)
# 0 1 5
# 1 2 4... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26057 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26057/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26057/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26057/events | https://github.com/pandas-dev/pandas/issues/26057 | 432,391,883 | MDU6SXNzdWU0MzIzOTE4ODM= | 26,057 | Pandas to_csv not writing correctly to nas but working on lokal folders | {
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"... | closed | false | null | [] | null | 13 | 2019-04-12T05:21:22Z | 2019-04-17T09:10:32Z | 2019-04-17T09:08:50Z | NONE | null | I wrote a function which should remove duplicate lines from all .csv files in a certain path. When i run the skript on lokal ressources it works fine but when i enter a target in my nas the skript finds and states to process all files but does not drop any duplicate lines. Instead it messes up some lines and occasional... | {
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... | 14 | 2019-04-12T08:23:12Z | 2020-05-08T03:20:47Z | 2020-05-08T03:20:46Z | MEMBER | null | The docs are currently being built with sphinx 1.8.5 (see eg https://travis-ci.org/pandas-dev/pandas/jobs/518832177 for a recent build on master).
Sphinx has released 2.0.0 (http://www.sphinx-doc.org/en/master/changes.html#release-2-0-0-released-mar-29-2019), and it would be good to test our docs with this new relea... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26059 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26059/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26059/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26059/events | https://github.com/pandas-dev/pandas/pull/26059 | 432,449,597 | MDExOlB1bGxSZXF1ZXN0MjY5OTE5MDM0 | 26,059 | DOC: fix See Also constructs | {
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- [ ] closes #xxxx
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But dispatch_to_series is very slow, that makes my code slower.
when I use pandas==0.23.0, it cost about 100 seconds, but when I use pandas==0.24.* It cost 583 seconds.
This is my profile result.
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Apart from the doc build problem (which can probabl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26063 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26063/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26063/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26063/events | https://github.com/pandas-dev/pandas/pull/26063 | 432,567,443 | MDExOlB1bGxSZXF1ZXN0MjcwMDEyNzEy | 26,063 | BUG: prevent overflowing diffs raising error in cut (#26045) | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I added a relevant test with the example reported in the issue in `\tests\reshape\test_cut.py`.
I also tested with `grep -rn pandas -e 'np.diff(bins'` if we could have a simil... | {
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```python
import pandas
pandas.__version__
# '0.24.2'
df = pandas.DataFrame([[x // 2] for x in range(0, 10**7)], columns=['A'])
df['B'] = df['A'] + 10**15
df = df.set_index('B').sort_index()
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# Errors in pandas.core.arrays
Type annotations for the following files need to be added or corrected to remove those files from the mypy blacklist:
- pandas.core.arrays.array_.py
- pandas.core.arrays.datetimelike.py
- pandas.core.arrays.integer.py
- pandas.core.arrays.interval.py
- pandas.cor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26067 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26067/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26067/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26067/events | https://github.com/pandas-dev/pandas/pull/26067 | 432,696,787 | MDExOlB1bGxSZXF1ZXN0MjcwMTE0ODg0 | 26,067 | DOC: better document Dtypes docstrings + avoid sphinx warnings | {
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- Therefore, explicitly list some attributes in the docstrings (for now, I went with only documenting the dtype-specific "metadata")
- And while at it, I also gave the docst... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26068 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26068/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26068/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26068/events | https://github.com/pandas-dev/pandas/issues/26068 | 432,704,189 | MDU6SXNzdWU0MzI3MDQxODk= | 26,068 | read_json: ValueError: Value is too big | {
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] | closed | false | null | [] | null | 5 | 2019-04-12T19:05:33Z | 2021-11-19T16:31:03Z | 2020-05-08T21:00:08Z | NONE | null | Reopening issue #14530. The close description is incorrect. The JSON specification explicitly states that limits are not in the specification.
From https://tools.ietf.org/html/rfc7159#section-6
> This specification allows implementations to set limits on the range and precision of numbers accepted
The standard... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26069 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26069/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26069/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26069/events | https://github.com/pandas-dev/pandas/issues/26069 | 432,746,576 | MDU6SXNzdWU0MzI3NDY1NzY= | 26,069 | CI: test_drop_duplicates_categorical_non_bool is flaky | {
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... | 1 | 2019-04-12T21:09:01Z | 2019-10-09T05:43:07Z | 2019-10-09T05:43:07Z | MEMBER | null | I've noticed recently that the xfailed part of the following test is occasionally xpassing, which is causing the test suite to fail due to being strict with xpass:
https://github.com/pandas-dev/pandas/blob/90a85e0b154833577a4023f643d8aace0c0ae7f5/pandas/tests/series/test_analytics.py#L1405-L1412
The quick fix is ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26070 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26070/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26070/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26070/events | https://github.com/pandas-dev/pandas/issues/26070 | 432,752,724 | MDU6SXNzdWU0MzI3NTI3MjQ= | 26,070 | Pandas style.bar(align='mid') does not make sense. | {
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```python
import pandas as pd
import numpy as np
N = 10
df = pd.DataFrame(np.random.normal(size=(10, N))+np.arange(N)*100, columns=range(N))
df.style.bar(align="mid", color=['pink', 'lightgreen'], axis=0)
```
#### Problem description
With align='mid' I ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26071 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26071/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26071/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26071/events | https://github.com/pandas-dev/pandas/pull/26071 | 432,773,102 | MDExOlB1bGxSZXF1ZXN0MjcwMTc2MjY4 | 26,071 | #26065 Fix Type Annotations in pandas.core.arrays | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-04-12T22:53:35Z | 2019-04-30T19:32:00Z | 2019-04-30T13:05:48Z | CONTRIBUTOR | null | - [X] closes #26065
- [X] tests passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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import pandas as pd
d = {'column': {'one': 1, 'two': 2, 'three': 3}}
pd.DataFrame(d) # Or pd.DataFrame.from_dict(d, orient='columns')
```
results in:
```
column
one 1
three 3
two 2
```
instead of what we expect:
```
column
one 1
two 2
thre... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26073 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26073/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26073/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26073/events | https://github.com/pandas-dev/pandas/issues/26073 | 432,810,115 | MDU6SXNzdWU0MzI4MTAxMTU= | 26,073 | Reading pdf tables directly using Pandas | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26074 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26074/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26074/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26074/events | https://github.com/pandas-dev/pandas/issues/26074 | 432,837,188 | MDU6SXNzdWU0MzI4MzcxODg= | 26,074 | pandas._libs.parsers.TextReader('中文文件名-chinese-in-filename.csv') OSError: Initializing from file failed | {
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```
PyperclipException:
Pyperclip could not find a copy/paste mechanism for your system.
For more information, please visit https://pyperclip.readthedocs.org
```
which is happening since the refactor of the CI envs in https://github.com/pandas-dev/pandas/p... | {
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- put a section about hdf5 and Panel in verbatim code blocks + added some `:okwarning:` for Panel (will need to be properly cleaned up when Panel is removed)
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Following up from a discussion in: https://github.com/pandas-dev/pandas/pull/25913#discussion_r272157952
Currently `set_ops` are not tested across all indexes and should probably be consolidated in a new file maybe `pandas/tests/indexes/test_setops.py` pulling tests from subdirectories an... | {
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- [x] tests added / passed
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The problem was in contradictory behavior between `pd.Index([pd.NaT, None]).is_unique` that returns `False` and `algorithms.unique([pd.NaT, None])` that returns `array([NaT, Non... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26085 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26085/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26085/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26085/events | https://github.com/pandas-dev/pandas/pull/26085 | 433,016,907 | MDExOlB1bGxSZXF1ZXN0MjcwMzE3ODE4 | 26,085 | CLN: Misc Python 2 references | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
The notable change here is removing the SIX license since I think we've removed any borrowed compatibility code. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26086 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26086/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26086/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26086/events | https://github.com/pandas-dev/pandas/issues/26086 | 433,041,999 | MDU6SXNzdWU0MzMwNDE5OTk= | 26,086 | Performance regression in a1fee9199eba7ebf423880243936b9f1501d3d3a | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26087 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26087/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26087/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26087/events | https://github.com/pandas-dev/pandas/issues/26087 | 433,044,588 | MDU6SXNzdWU0MzMwNDQ1ODg= | 26,087 | Possible performance regression in a1fee9 | {
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Possible performance regression in https://github.com/pandas-dev/pandas/commit/a1fee9199eba7ebf423880243936b9f1501d3d3a.
Regression: http://pandas.pydata.org/speed/pandas/index.html#rolling.Quantile.time_quantile?commits=a1fee9199eba7ebf423880243936b9f1501d3d3a&p-window=1000&p-param5=%27lower%27&p-percentile=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26088 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26088/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26088/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26088/events | https://github.com/pandas-dev/pandas/issues/26088 | 433,044,716 | MDU6SXNzdWU0MzMwNDQ3MTY= | 26,088 | Possible performance regression in a1fee9 | {
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Possible performance regression in https://github.com/pandas-dev/pandas/commit/a1fee9199eba7ebf423880243936b9f1501d3d3a.
Regression: http://pandas.pydata.org/speed/pandas/index.html#rolling.Quantile.time_quantile?commits=a1fee9199eba7ebf423880243936b9f1501d3d3a&p-window=1000&p-param5=%27lower%27&p-percentile=0.5&p-dt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26089 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26089/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26089/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26089/events | https://github.com/pandas-dev/pandas/pull/26089 | 433,048,295 | MDExOlB1bGxSZXF1ZXN0MjcwMzM3MzM0 | 26,089 | Fix Up Typing in GroupBy | {
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Original failures:
```sh
pandas/core/groupby/ops.py:13: error: Module 'pandas._libs' has no attribute 'groupby'
pandas/core/groupby/ops.py:13: error: Module 'pandas._libs' has no attribute 'reduction'
pandas/core/groupby/groupby.py:22: error: Module 'pandas._libs' has no attribute 'groupby... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26090 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26090/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26090/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26090/events | https://github.com/pandas-dev/pandas/pull/26090 | 433,048,782 | MDExOlB1bGxSZXF1ZXN0MjcwMzM3NjE2 | 26,090 | Cleanup of GroupBy Code | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-04-14T23:54:15Z | 2020-01-16T00:34:12Z | 2019-04-16T11:56:03Z | MEMBER | null | Removing some dead code I came across on review of the module which appears in NDFrameGroupBy but is overridden by its only public child class DataFrameGroupBy
FWIW with the removal of PanelGroupBy the NDFrameGroupBy is an unnecessary layer of inheritance and could probably be merged in with DataFrameGroupBy, though... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26091 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26091/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26091/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26091/events | https://github.com/pandas-dev/pandas/pull/26091 | 433,052,982 | MDExOlB1bGxSZXF1ZXN0MjcwMzQwNzU2 | 26,091 | CLN: pylint references | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26092 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26092/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26092/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26092/events | https://github.com/pandas-dev/pandas/issues/26092 | 433,053,786 | MDU6SXNzdWU0MzMwNTM3ODY= | 26,092 | export a R-compatible msgpack file? | {
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Please have a look here https://stackoverflow.com/questions/55578378/how-to-exchange-msgpack-files-between-python-and-r
Would it be possible/doable to have `pandas` export a `msgpack` file that can be read in `R`?
What do you think?
Thanks! | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26093 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26093/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26093/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26093/events | https://github.com/pandas-dev/pandas/pull/26093 | 433,058,985 | MDExOlB1bGxSZXF1ZXN0MjcwMzQ0OTI4 | 26,093 | STY: Turn on flake8 for pandas/compat/__init__.py | {
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... | closed | false | null | [] | null | 6 | 2019-04-15T03:17:44Z | 2019-06-08T20:38:18Z | 2019-06-08T20:38:18Z | NONE | null | - [ ] closes #9606
- [ ] 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/26095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26095/events | https://github.com/pandas-dev/pandas/pull/26095 | 433,103,058 | MDExOlB1bGxSZXF1ZXN0MjcwMzc2OTgx | 26,095 | CLN: Remove accidentally added pycache | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26096 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26096/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26096/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26096/events | https://github.com/pandas-dev/pandas/issues/26096 | 433,175,045 | MDU6SXNzdWU0MzMxNzUwNDU= | 26,096 | Dtype attributes (eg PeriodDtype.freq) should not be settable | {
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```
In [2]: pdt = pd.PeriodDtype(freq='D')
In [3]: pdt
Out[3]: period[D]
In [4]: pdt.freq = 'F'
In [5]: pdt
...
AttributeError: 'str' object has no attribute 'freqstr'
```
I think in general it would be good to make those dtype specific attributes not settable (this is... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26097 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26097/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26097/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26097/events | https://github.com/pandas-dev/pandas/pull/26097 | 433,252,139 | MDExOlB1bGxSZXF1ZXN0MjcwNDkzMDA2 | 26,097 | BUG: _convert_and_box_cache raise ValueError: Tz-aware datetime.datetime cannot be converted to datetime64 unless utc=True | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Bug was found there: https://github.com/pandas-dev/pandas/pull/26043#issuecomment-483214458
Reproduction:
```python
import pandas as pd
N = 10
half = int(N / 2)
ts_string_1 ... | {
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Removes ``compat.itervalues``. | {
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In [76]: from pandas.core.dtypes.common import is_categorical_dtype
In [77]: class Foo(object):
...: def __bool__(self):
...: raise NotImplementedError("Foo doesn't support boolness")
...:
...: def __eq__(self, other):
...: return Foo()
In [78]: is_categ... | {
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Could we apply the same change as #21580 to those methods too, i.e. ... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/26104 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26104/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26104/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26104/events | https://github.com/pandas-dev/pandas/pull/26104 | 433,483,869 | MDExOlB1bGxSZXF1ZXN0MjcwNjc2NTkx | 26,104 | ENH: Add parameter to download BigQuery results with the BigQuery Storage API | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2019-04-15T21:20:55Z | 2019-04-22T15:54:34Z | 2019-04-20T18:33:34Z | CONTRIBUTOR | null | pandas-gbq 0.10.0 adds a new `use_bqstorage_api` parameter to speed up downloads of large dataframes.
- [ ] ~closes #xxxx~
- [x] tests added / passed
```
$ pytest pandas/tests/io/test_gbq.py
=============================== test session starts ================================
platform darwin -- Python 3.6.4, p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26105 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26105/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26105/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26105/events | https://github.com/pandas-dev/pandas/issues/26105 | 433,516,412 | MDU6SXNzdWU0MzM1MTY0MTI= | 26,105 | Inconsistent behavior of index when grouping a multiindex series of length two | {
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```python
import pandas as pd
df = pd.DataFrame({'A': [0, 1, 2], 'B': [3, 4, 5], 'C': [6, 7, 8]})
df = df.set_index(['A', 'B'])
c = df.C
# series with multiindex and two rows:
#
c[:2].groupby(['A', 'B']).sum()
#
# expected output
# A B
# 0 3 6... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26106 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26106/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26106/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26106/events | https://github.com/pandas-dev/pandas/pull/26106 | 433,716,574 | MDExOlB1bGxSZXF1ZXN0MjcwODU4Mzcw | 26,106 | Improve documentation for assert_frame|series_equal #26101 | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-04-16T10:58:30Z | 2019-04-22T15:31:48Z | 2019-04-22T15:31:40Z | CONTRIBUTOR | null | - [x] closes #26101
- [ ] 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/26107 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26107/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26107/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26107/events | https://github.com/pandas-dev/pandas/issues/26107 | 433,774,853 | MDU6SXNzdWU0MzM3NzQ4NTM= | 26,107 | TypeError on while retrieving values from a Series | {
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In [37]: import pandas as pd
...: import numpy as np
...: from pandas.core.indexes.datetimes import DatetimeIndex
...:
...: data = np.ma.array(data=DatetimeIndex(['2011-01-01']))
...: s = pd.Series(data=data)
...: s.values # FAILS
OUTPUT:
TypeError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26108 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26108/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26108/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26108/events | https://github.com/pandas-dev/pandas/issues/26108 | 433,779,612 | MDU6SXNzdWU0MzM3Nzk2MTI= | 26,108 | PERF: Performance regression (memory and time) on set_index method between 0.20.3 and 0.24.2 | {
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```python
# Method used to set index of data frame (defined for make time-memory recording possible)
def set_index(data_frame: pd.DataFrame, index_cols: list):
time_res = %timeit -n 1 -r 1 -o data_frame.set_index(index_cols)
return time_res
# Metho... | {
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```python
# quarters as string representation
quarters = pd.Series(["2018Q1", "2018Q2", "2018Q1", "2018Q3"])
# gives TypeError (see details for stack trace)
pi = pd.PeriodIndex(quarters, freq="Q")
TypeError: Incorrect dtype
# works as intended
pi = pd.... | {
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Removes ``compat.lfilter``. | {
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```python
import pandas as pd
df = pd.DataFrame([[1, 2], [3, 4]], columns=['a', 'b'], index=pd.RangeIndex(2, name='Idx'))
# When the index has a name you get an extra header row for it
print(df.to_latex())
# \begin{tabular}{lrr}
# \toprule
# {} & a & ... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-04-16T21:53:06Z | 2019-04-17T12:51:16Z | 2019-04-17T12:51:13Z | CONTRIBUTOR | null | - [x] closes #23050
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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