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https://api.github.com/repos/pandas-dev/pandas/issues/20511 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20511/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20511/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20511/events | https://github.com/pandas-dev/pandas/issues/20511 | 309,239,436 | MDU6SXNzdWUzMDkyMzk0MzY= | 20,511 | Assign back converted multiple columns to datetime failed | {
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... | 7 | 2018-03-28T06:42:09Z | 2021-06-19T17:32:02Z | null | NONE | null | I want convert multiple columns to datetimes:
df = pd.DataFrame(np.random.choice(['2015-01-01','2016-01-01'], size=(5,6))).add_prefix('date')
print (df)
date0 date1 date2 date3 date4 date5
0 2015-01-01 2016-01-01 2015-01-01 2015-01-01 2016-01-01 2016-01-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20513 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20513/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20513/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20513/events | https://github.com/pandas-dev/pandas/issues/20513 | 309,267,820 | MDU6SXNzdWUzMDkyNjc4MjA= | 20,513 | Feature request: Let reindex fill with per-column methods | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20514 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20514/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20514/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20514/events | https://github.com/pandas-dev/pandas/pull/20514 | 309,282,957 | MDExOlB1bGxSZXF1ZXN0MTc3OTc1MDU3 | 20,514 | Set pd.options.display.max_rows = 20 by default | {
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- [ ] closes #xxxx
- [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/20515 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20515/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20515/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20515/events | https://github.com/pandas-dev/pandas/issues/20515 | 309,301,758 | MDU6SXNzdWUzMDkzMDE3NTg= | 20,515 | DOC: add pandas sprint whatsnew entry | {
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"followers_url": "https://api.github.com/users/j... | 0 | 2018-03-28T10:08:15Z | 2018-03-30T20:03:41Z | 2018-03-30T20:03:41Z | CONTRIBUTOR | null | @datapythonista @jorisvandenbossche @TomAugspurger
We should add a short section in the whatsnew: http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#documentation-changes
That gives recognition to the PR's for the sprint. We *could* list the PR's numbers, or maybe just a link to a gtihub search which ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20516 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20516/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20516/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20516/events | https://github.com/pandas-dev/pandas/issues/20516 | 309,352,049 | MDU6SXNzdWUzMDkzNTIwNDk= | 20,516 | Calling drop_duplicates method for empty pandas dataframe throws error | {
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"followers_url": "https://api.github... | 4 | 2018-03-28T12:47:42Z | 2018-08-23T13:13:24Z | 2018-08-23T13:13:24Z | CONTRIBUTOR | null | #### Code Sample
```python
>>> pd.DataFrame().drop_duplicates()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/analytical-monk/miniconda3/lib/python3.6/site-packages/pandas/core/frame.py", line 3098, in drop_duplicates
duplicated = self.duplicated(subset, keep=keep)
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https://api.github.com/repos/pandas-dev/pandas/issues/20517 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20517/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20517/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20517/events | https://github.com/pandas-dev/pandas/issues/20517 | 309,401,132 | MDU6SXNzdWUzMDk0MDExMzI= | 20,517 | date_range fails when I try to generate ones with 1 periods and freq equal WOM-1MON | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2018-03-28T14:49:52Z | 2018-04-21T18:14:15Z | 2018-04-21T18:14:15Z | CONTRIBUTOR | null | #### Code Sample
```python
import pandas as pd
pd.date_range('20100104', periods=2, freq='WOM-1MON') # works
pd.date_range('20100104', periods=1, freq='WOM-1MON') # fails
```
```python-traceback
Traceback (most recent call last):
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https://api.github.com/repos/pandas-dev/pandas/issues/20518 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20518/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20518/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20518/events | https://github.com/pandas-dev/pandas/issues/20518 | 309,402,979 | MDU6SXNzdWUzMDk0MDI5Nzk= | 20,518 | DOC: Exception in timeseries due to int64 __floordiv__ | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-03-28T14:53:59Z | 2018-03-28T14:54:40Z | 2018-03-28T14:54:33Z | CONTRIBUTOR | null | http://pandas-docs.github.io/pandas-docs-travis/timeseries.html#from-timestamps-to-epoch
```python
In [3]: stamps = pd.date_range('2012-10-08 18:15:05', periods=4, freq='D')
...: stamps.view('int64') // pd.Timedelta(1, unit='s')
...:
```
```pytb
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```python
foo= pd.DataFrame([['x', np.nan, 1]], columns = ['A', 'B', 'C']).set_index(['A', 'B'])
foo.groupby(level = ['A', 'B']).C.sum()
IndexError: cannot do a non-empty take from an empty axes.
# while this is expected, as a comparison
bar = pd.DataFrame... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20520 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20520/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20520/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20520/events | https://github.com/pandas-dev/pandas/issues/20520 | 309,409,757 | MDU6SXNzdWUzMDk0MDk3NTc= | 20,520 | data frame group by with extra categorical column aggregates datetime64 NaT column to float NaN | {
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```python
# Minimal example:
df = pd.DataFrame({'group': ['first', 'first', 'second', 'third', 'third'], 'time': 5*[np.datetime64('NaT')], 'categories': pd.Series(["a","b","c","a","b"], dtype="category")})
df.groupby('group').first()
# results in
>>> ... | {
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Please comsider merging
https://github.com/pandas-dev/pandas/compare/master...JacekPliszka:master
#### Problem description
Currently pandas can not add custom metadata to parquet file.
This patch add metadata argument to DataFrame.to_parquet that ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20522 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20522/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20522/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20522/events | https://github.com/pandas-dev/pandas/pull/20522 | 309,487,018 | MDExOlB1bGxSZXF1ZXN0MTc4MTI5NjU1 | 20,522 | PERF: GH2003 Series.isin for categorical dtypes | {
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I have also added a test for the most crucial cases (nans).
closes #20003 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20523 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20523/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20523/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20523/events | https://github.com/pandas-dev/pandas/issues/20523 | 309,488,114 | MDU6SXNzdWUzMDk0ODgxMTQ= | 20,523 | Presence of softlink in HDF5 file breaks HDFStore.keys() | {
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```python
#! /path/to/python3.6
import pandas as pd
df = pd.DataFrame({ "a": [1], "b": [2] })
print(df.to_string())
hdf = pd.HDFStore("/tmp/test.hdf", mode="w")
hdf.put("/test/key", df)
#Brittle
hdf._handle.create_soft_link(hdf._handle.root.test, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20524 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20524/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20524/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20524/events | https://github.com/pandas-dev/pandas/issues/20524 | 309,494,365 | MDU6SXNzdWUzMDk0OTQzNjU= | 20,524 | Weird Error Groupby : works with .sum(), but throws error with .rank() | {
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Applying:
df.groupby(level).sum()
Works FINE
However, applying:
df.groupby(level).rank()
throws me the following error:
ValueError: Categorical categories must be unique
Important note: I am working with 4 levels. I am grouping by using the f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20525 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20525/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20525/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20525/events | https://github.com/pandas-dev/pandas/issues/20525 | 309,528,681 | MDU6SXNzdWUzMDk1Mjg2ODE= | 20,525 | read_sql should convert Numeric to decimals | {
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... | 5 | 2018-03-28T20:56:33Z | 2021-03-31T03:24:38Z | null | NONE | null | `pd.read_sql` converts columns of type `sqlalchemy.Numeric` to floats as the below selection appears to suggest. This seems counter intuitive since in the `NUMERIC` and `DECIMAL` types are interchangeable. Also the `NUMERIC` type has an option `asdecimal` that defaults to true (http://docs.sqlalchemy.org/en/latest/core... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20526 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20526/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20526/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20526/events | https://github.com/pandas-dev/pandas/pull/20526 | 309,637,057 | MDExOlB1bGxSZXF1ZXN0MTc4MjM5NTE0 | 20,526 | BUG: #19497 FIX. Add tupleize_cols option to internals._transform_index() | {
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- NO TESTS have been added/passed. Currently experiencing issues getting pandas conda environment installed so unable to do this myself. Very simple alteration however...
- Code passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- Implements tupleize_cols option for pandas.core.internals_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20527 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20527/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20527/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20527/events | https://github.com/pandas-dev/pandas/issues/20527 | 309,678,998 | MDU6SXNzdWUzMDk2Nzg5OTg= | 20,527 | ERR: disallow non-hashables in Index construction & rename | {
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from pandas import Index, DataFrame
df = DataFrame(index=Index([1, 2, 3, 4]), columns=['A', 'B'])
df.index.rename(['foo'], inplace=True)
df.reset_index()
```
> ---------------------------------------------------------------------------
> TypeError Traceback (most rec... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20528 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20528/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20528/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20528/events | https://github.com/pandas-dev/pandas/pull/20528 | 309,699,007 | MDExOlB1bGxSZXF1ZXN0MTc4Mjg1NzQ2 | 20,528 | COMPAT: 32-bit compat for testing | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20529 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20529/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20529/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20529/events | https://github.com/pandas-dev/pandas/issues/20529 | 309,705,913 | MDU6SXNzdWUzMDk3MDU5MTM= | 20,529 | Unhelpful error message when loading a single column with `read_csv` and `usecols` | {
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```python
>>> import pandas as pd
>>> df = pd.DataFrame({'x': [0,1], 'x1': [2,3]})
>>> df.to_csv('tmp.csv', index=False)
>>> pd.read_csv('tmp.csv', usecols='x')
x
0 0
1 1
>>> pd.read_csv('tmp.csv', usecols=['x1'])
x1
0 2
1 3
>>> pd.read_csv('tmp.csv', usecols='x1')
Traceback (most re... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20530 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20530/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20530/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20530/events | https://github.com/pandas-dev/pandas/issues/20530 | 309,709,124 | MDU6SXNzdWUzMDk3MDkxMjQ= | 20,530 | release date question | {
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Is there a release timeline somewhere?
Thank you | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20531 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20531/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20531/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20531/events | https://github.com/pandas-dev/pandas/issues/20531 | 309,722,983 | MDU6SXNzdWUzMDk3MjI5ODM= | 20,531 | RLS: 0.23.0 | {
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This template can be copied into the RLS issue for a release and checked off as you go.
## Pre-Release
- [x] Open a pre-release issue and mention related parties. (A few weeks before release) with this template.
- [x] Clear the bug queue
- [x] Run an ASV: `cd asv_bench; asv continuous -f ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20532 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20532/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20532/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20532/events | https://github.com/pandas-dev/pandas/issues/20532 | 309,724,484 | MDU6SXNzdWUzMDk3MjQ0ODQ= | 20,532 | DOC: add whatsnew notice for ExtensionArray stuff | {
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cc @TomAugspurger | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20533 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20533/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20533/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20533/events | https://github.com/pandas-dev/pandas/pull/20533 | 309,730,169 | MDExOlB1bGxSZXF1ZXN0MTc4MzA5ODc1 | 20,533 | DOC: Extension whatsenw | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20534 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20534/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20534/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20534/events | https://github.com/pandas-dev/pandas/pull/20534 | 309,733,213 | MDExOlB1bGxSZXF1ZXN0MTc4MzEyMjQ0 | 20,534 | ENH20521 Added metadata argument to DataFrame.to_parquet | {
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Closes #20521
Checklist for other PRs (remove this part if you are doing a PR for the pandas documentation sprint):
- [x] closes #xxxx
- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/20535 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20535/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20535/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20535/events | https://github.com/pandas-dev/pandas/issues/20535 | 309,738,182 | MDU6SXNzdWUzMDk3MzgxODI= | 20,535 | API: deprecate range-generating keywords in DatetimeIndex | {
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Since for generating ranges, we have the specia... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20536 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20536/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20536/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20536/events | https://github.com/pandas-dev/pandas/issues/20536 | 309,757,620 | MDU6SXNzdWUzMDk3NTc2MjA= | 20,536 | TST: Extract methods from TestXMySQL and TestXSQLite and remove | {
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IIUC, these are the test using a DBAPI2 `Connection` object, which is deprecated? We should remove these tests if they aren't being run. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20537 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20537/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20537/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20537/events | https://github.com/pandas-dev/pandas/pull/20537 | 309,759,923 | MDExOlB1bGxSZXF1ZXN0MTc4MzMyNjU4 | 20,537 | BUG: Presence of softlink in HDF5 file breaks HDFStore.keys() (GH20523) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20538 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20538/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20538/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20538/events | https://github.com/pandas-dev/pandas/pull/20538 | 309,862,942 | MDExOlB1bGxSZXF1ZXN0MTc4NDEwMDQz | 20,538 | ERR: Better error message for missing matplotlib | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20539 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20539/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20539/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20539/events | https://github.com/pandas-dev/pandas/issues/20539 | 309,868,957 | MDU6SXNzdWUzMDk4Njg5NTc= | 20,539 | groupby.cumsum fails, groupby.apply(np.cumsum) works on Decimal column | {
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#### Problem description
Cumulative sum fails on a decimal column during a groupby. However if I apply `np.cumsum` to the same column, it works. Would expect cumsum to work on numeric object types.
#### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20540 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20540/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20540/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20540/events | https://github.com/pandas-dev/pandas/pull/20540 | 309,877,302 | MDExOlB1bGxSZXF1ZXN0MTc4NDIxMDQw | 20,540 | DOC: Plans for 2.7 | {
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Just some sample text, essentially following NumPy.
Of course, it'd be nice if 1.0 happened to be the LTS, but we'll see. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20541 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20541/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20541/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20541/events | https://github.com/pandas-dev/pandas/issues/20541 | 309,902,542 | MDU6SXNzdWUzMDk5MDI1NDI= | 20,541 | BUG: read_csv doesn't respect dtype argument for index_col | {
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```python
import pandas as pd
from io import StringIO
data = '"zip1","zip2","mi_to_zcta5"\n'
data += '"00601","00631",5.43229145138995\n'
data += '"00601","00641",6.19718605765618'
df1 = pd.read_csv(StringIO(data), header=0, dtype={'zip1': str, 'zip2': str})
df1.zip1.dtype.name
# Object
... | {
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closes #20515 | {
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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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Summary:
- Replaced instances `sys.version_info` with equivalent checks from `pandas.compat`
- Removed code blocks specific to unsupported versions of Python (<2.7, 3.0-3.4)
<br />
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I deal with huge data of shape **[5331334 rows x 221 columns]** even greater than this.
I'm just looking for password protection to excel file, exported from such data frame.
Thank you! | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20547 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20547/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20547/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20547/events | https://github.com/pandas-dev/pandas/issues/20547 | 310,004,626 | MDU6SXNzdWUzMTAwMDQ2MjY= | 20,547 | html5lib not in requirements | {
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```python
import pandas as pd
fiddy_states = pd.read_html('https://simple.wikipedia.org/wiki/List_of_U.S._states')
```
#### Problem description
There is an import error.
```python
Traceback (most recent call last):
File "test.py", line 7, in <modul... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20548 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20548/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20548/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20548/events | https://github.com/pandas-dev/pandas/pull/20548 | 310,056,852 | MDExOlB1bGxSZXF1ZXN0MTc4NTUzMzk5 | 20,548 | ERR: disallow non-hashables in Index/MultiIndex construction & rename | {
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**Examples:**
- Index:
```
In [2]: pd.Index([1, 2, 3], name=['foo'])
>>> Int64Index([1, 2, 3], dtype='int64', name=['foo'])
```
```
In [3]: pd.Index([1, 2, 3], name='foo')... | {
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- [x] closes #20517
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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- [X] closes #9336
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In 3.6+ there's `typing.re.Pattern`. Otherwise, there's `_re_type = type(re.compile(''))`. | {
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Not sure what the best way is. Anaconda/conda-forge does not seem to have packages for 3.7, travis has a 3.7-dev python (then we need to switch our dev build from conda to pip). | {
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(14cf67f L132, 14cf67f L685, 14cf67f L700) | {
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```python
df = pd.DataFrame({"A": ['a', 'b']})
df['A'] = DecimalArray(['1.0', '1.1'])
df.dtypes
```
```
A object
dtype: object
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https://api.github.com/repos/pandas-dev/pandas/issues/20557 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20557/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20557/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20557/events | https://github.com/pandas-dev/pandas/issues/20557 | 310,145,944 | MDU6SXNzdWUzMTAxNDU5NDQ= | 20,557 | API: Allow extension dtypes in NDFrame.astype | {
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... | 7 | 2018-03-30T19:14:25Z | 2021-10-20T23:35:38Z | null | CONTRIBUTOR | null | Do we want to support this? If so, how?
```python
In [22]: from pandas.tests.extension.decimal.array import DecimalArray, decimal, DecimalDtype
In [23]: ser = pd.Series(['1.0', '1.1'])
In [24]: ser.astype(...)
```
Some issues:
1. unlikely, but multiple extension types could have the same name, so `ser.as... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Since string is iterable, when passed into usecols in read_csv or read_table, it is currently treated as array of characters instead of being caught properly. For example, when... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20560 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20560/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20560/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20560/events | https://github.com/pandas-dev/pandas/issues/20560 | 310,178,321 | MDU6SXNzdWUzMTAxNzgzMjE= | 20,560 | Docstring and method behaviour differ | {
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def _validate_n(self, n):
"""
Require that `n` be a nonzero integer.
Parameters
----------
n : int
Returns
-------
nint : int
Raises
------
TypeError if `int(n)` raises
ValueError if n != int(n)
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https://api.github.com/repos/pandas-dev/pandas/issues/20561 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20561/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20561/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20561/events | https://github.com/pandas-dev/pandas/issues/20561 | 310,190,411 | MDU6SXNzdWUzMTAxOTA0MTE= | 20,561 | GroupBy Rank Operations With Infinity Incorrect | {
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```python
In [51]: df = pd.DataFrame([1, np.nan, np.inf, -np.inf, 25])
In [52]: df['key'] = 'foo'
In [53]: df.groupby("key").rank() # not working properly for infinity
Out[53]:
0
0 2.0
1 NaN
2 NaN
3 1.0
4 3.0
In [54]: df.rank() # this is ok
Out[54]:
... | {
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- [x] closes #7985
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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"description": "pandas-gbq compatabil... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 14 | 2018-03-30T23:58:01Z | 2019-12-11T20:30:19Z | 2018-04-09T10:02:24Z | CONTRIBUTOR | null | Delegates more of the behavior and documentation for `to_gbq` and
`read_gbq` methods to the `pandas-gbq` library. This duplicate
documentation was getting out of sync.
Please include the output of the validation script below between the "```" ticks:
```
$ scripts/validate_docstrings.py pandas.DataFrame.to_gb... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20565 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20565/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20565/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20565/events | https://github.com/pandas-dev/pandas/issues/20565 | 310,200,776 | MDU6SXNzdWUzMTAyMDA3NzY= | 20,565 | concat handles MultiIndex differently when index is the same | {
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... | 1 | 2018-03-31T01:11:36Z | 2019-10-21T19:52:18Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
rows1 = 3
df1 = pd.DataFrame(np.random.randn(rows1, 2), columns=['A', 'B'], index=['Z1']*rows1)
rows2 = 3
df2 = pd.DataFrame(np.random.randn(rows2, 2), columns=['A', 'B'], index=['Z1']*rows2)
df = pd.concat([df1, df2], keys=['Key1', 'Key2'], na... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20566 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20566/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20566/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20566/events | https://github.com/pandas-dev/pandas/issues/20566 | 310,243,352 | MDU6SXNzdWUzMTAyNDMzNTI= | 20,566 | BUG: When agg or reset_index to grouped DF, insert function causes ValueError. | {
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Case 1
```python
import pandas as pd
df = pd.DataFrame({
'a' : [1,1,1,2,2,2,3,3,3],
'b' : [1,2,3,4,5,6,7,8,9],
})
df.groupby('a', as_index=False).agg({'a': 'count'})
```
Case 2
```python
import pandas as pd
df = pd.Da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20567 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20567/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20567/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20567/events | https://github.com/pandas-dev/pandas/pull/20567 | 310,249,828 | MDExOlB1bGxSZXF1ZXN0MTc4Njg3ODE1 | 20,567 | TST: xfail matmul under numpy < 1.12 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20568 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20568/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20568/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20568/events | https://github.com/pandas-dev/pandas/issues/20568 | 310,252,392 | MDU6SXNzdWUzMTAyNTIzOTI= | 20,568 | BUG: unique on an empty MI | {
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In [13]: pd.MultiIndex.from_arrays([[], []])
Out[13]:
MultiIndex(levels=[[], []],
labels=[[], []])
In [14]: pd.MultiIndex.from_arrays([[], []]).unique()
---------------------------------------------------------------------------
TypeError Traceback (most recent c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20569 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20569/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20569/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20569/events | https://github.com/pandas-dev/pandas/pull/20569 | 310,253,536 | MDExOlB1bGxSZXF1ZXN0MTc4Njg5OTI1 | 20,569 | BUG: Fix first_last_valid_index, now preserves the frequency. | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2018-03-31T16:35:04Z | 2018-04-18T07:20:58Z | 2018-04-01T13:40:21Z | CONTRIBUTOR | null | Checklist
- [X] closes #20499
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I'm not sure if I should add a test somewhere else. Notice that I've added a new function [`_find_first_valid`](https://github.com/mmngreco/pandas/blob/ff8d3964cba0... | {
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```python
In [2]: pd.Index([1,2,3], name='a').unique().name
Out[2]: 'a'
In [3]: pd.MultiIndex.from_arrays([[1,2], [1,2]], names=['a', 'b']).unique().names
Out[3]: FrozenList([None, None])
```
#### Problem description
``unique`` preserve ``name`` for ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20571 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20571/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20571/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20571/events | https://github.com/pandas-dev/pandas/pull/20571 | 310,276,686 | MDExOlB1bGxSZXF1ZXN0MTc4NzAzMTAy | 20,571 | BUG: .unique() on MultiIndex: preserve names | {
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- [x] closes #20570
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry | {
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] | closed | false | null | [] | null | 5 | 2018-04-01T16:58:22Z | 2018-08-18T23:14:15Z | 2018-08-18T23:14:15Z | NONE | null | - [x] closes part of #16827 : makes bubble plots easy with df.plot.scatter(x='col1', y='col2', s='col3') with nice automatic bubble sizing and bubble size legend
- [x] 2 tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20573 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20573/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20573/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20573/events | https://github.com/pandas-dev/pandas/issues/20573 | 310,354,135 | MDU6SXNzdWUzMTAzNTQxMzU= | 20,573 | Usefulness of error_bad_lines when dtypes are defined | {
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```python
import pandas as pd
from numpy import dtype
### Create the sample data
with open('data.csv', 'w+') as file:
file.write("ID,X1,X2,X3\n")
file.write("0,1,Amigo,3\n")
file.write("1,1,Inimigo, amor,9\n")
file.write("2,1,Cowboy,42... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20574 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20574/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20574/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20574/events | https://github.com/pandas-dev/pandas/pull/20574 | 310,390,872 | MDExOlB1bGxSZXF1ZXN0MTc4NzcwNTQ5 | 20,574 | Adding test_map_missing_mixed to test_apply.py in pandas test suite series | {
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- [x] closes #20495
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry (n/a)
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https://api.github.com/repos/pandas-dev/pandas/issues/20575 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20575/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20575/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20575/events | https://github.com/pandas-dev/pandas/issues/20575 | 310,408,607 | MDU6SXNzdWUzMTA0MDg2MDc= | 20,575 | Plotting 128Hz timeseries crashes | {
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... | open | false | null | [] | null | 9 | 2018-04-02T06:38:16Z | 2021-06-19T17:50:37Z | null | NONE | null | #### Code Sample
```python
import numpy as np
import pandas as pd
start = 0
freq = 128
samples = freq * 10 # 10 seconds
data = np.random.random(samples)
index = pd.date_range(start, periods=samples, freq='{}S'.format(1/freq))
ts = pd.Series(data=data, index=index, name='High freq')
ts.plot()
```
#### P... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20576 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20576/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20576/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20576/events | https://github.com/pandas-dev/pandas/issues/20576 | 310,443,812 | MDU6SXNzdWUzMTA0NDM4MTI= | 20,576 | ExtensionArray series.align(frame) not working | {
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```
In [27]: from pandas.tests.extension.decimal.array import DecimalArray, make_data
In [28]: dec_arr = DecimalArray(make_data()[:3])
In [29]: s = pd.Series(dec_arr)
In [30]: s
O... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20577 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20577/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20577/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20577/events | https://github.com/pandas-dev/pandas/pull/20577 | 310,444,633 | MDExOlB1bGxSZXF1ZXN0MTc4ODA5MzIx | 20,577 | TST: remove skip for values/index length mismatch in ExtensionArray tests | {
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This is because we check for string types, and in that case use `self.values` (which is still an extension array) and not `self.get_values()`, and afterwards we cal... | {
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#### Problem description
With the v.23 accessors, I think they are really great, but for Series accessors, can you limit the functionality to just a specific dtype or a custom dtype?
Take the example on the page, the `geo` accessor.
Currently this applies to the whole series (if a series accessor is used), b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20580 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20580/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20580/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20580/events | https://github.com/pandas-dev/pandas/pull/20580 | 310,459,333 | MDExOlB1bGxSZXF1ZXN0MTc4ODIwMzkx | 20,580 | BUG: Fixed Series.align(frame) with ExtensionArray | {
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cc @jorisvandenbossche | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20581 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20581/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20581/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20581/events | https://github.com/pandas-dev/pandas/pull/20581 | 310,463,777 | MDExOlB1bGxSZXF1ZXN0MTc4ODIzNjg5 | 20,581 | BUG: Series[EA].astype(str) works | {
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cc @jorisvandenbossche | {
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Added a example implementation for Decimal/JSONArray.
And apparently, this was also failing for Categorical, so fixed that as well.
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closes #15217
closes #17594
closes #8869
xref #8138
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"followers_url": "https://api.github... | 9 | 2018-04-02T17:00:51Z | 2019-01-02T12:43:32Z | 2019-01-02T12:43:32Z | NONE | null | #### Code Sample, a copy-pastable example if possible
**BEFORE**
```python
df_india.groupby('sector').id.count().sort_values().plot.bar();
```
would result in a bar plot with all bars having the same color
**AFTER** version 0.20
```python
df_india.groupby('sector').id.count().sort_values().plot.bar(color='cor... | {
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```python
data = {'Company':['GOOG','GOOG','MSFT','MSFT','FB','FB'],
'Person':['Sam','Charlie','Amy','Vanessa','Carl','Sarah'],
'Sales':[200,120,340,124,243,350]}
df = pd.DataFrame(data)
df
Company Person Sales
0 GOOG Sam 20... | {
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- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Might be nice to add some additional `flake8` plugins to check various things:
- Enforce using new-style classes?
- The [hacking](https://github.com/openstack-dev/hacking) package looks to do this (cc @mroeschke)
- Added a rel... | {
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Looks like both numpy and scikit-learn are using it as well. Not sure exactly what their experience with it has been, but... | {
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tests/reshape/test_util.py as kind of POC.
- [x] closes #17978
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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"followers_url": "https://api.github... | 2 | 2018-04-03T07:16:37Z | 2018-12-02T16:22:01Z | 2018-12-02T16:22:01Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
from pandas.compat import StringIO
data = "false,1\n,1\ntrue,"
df = pd.read_csv(StringIO(data), header=None, names=['a','b'], dtype={'a': 'bool'}, engine='c')
print(df['a'].dtype)
print(df)
```
##### outputs:
object
a ... | {
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... | 3 | 2018-04-03T13:05:26Z | 2018-11-27T03:52:21Z | 2018-11-27T03:52:21Z | NONE | null | ```python
import pandas as pd
s = pd.Series({'aa': 1})
s['aa'] = None
```
#### Problem description
got exception:
ValueError: ['a' 'a'] not contained in the index
#### Expected Output
#### Output of ``pd.show_versions()``
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.6... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20593 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20593/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20593/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20593/events | https://github.com/pandas-dev/pandas/pull/20593 | 310,840,457 | MDExOlB1bGxSZXF1ZXN0MTc5MTAxMzE2 | 20,593 | Safely raise errors when object contains unicode | {
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"followers_url": "https://api.github.com/users/j... | 7 | 2018-04-03T13:38:07Z | 2018-04-10T10:21:42Z | 2018-04-09T18:33:59Z | CONTRIBUTOR | null | This safely turns nd.array objects that contain unicode into a
representation that can be printed
Checklist for other PRs (remove this part if you are doing a PR for the pandas documentation sprint):
- [x] closes #20503
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20594 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20594/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20594/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20594/events | https://github.com/pandas-dev/pandas/issues/20594 | 310,888,421 | MDU6SXNzdWUzMTA4ODg0MjE= | 20,594 | BUG: HDFStore failures on timezone-aware data | {
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```python
In [1]: import pandas as pd
...:
...: def check_roundtrip(obj):
...: with pd.HDFStore('test.h5', 'w') as store:
...: store['obj'] = obj
...: retrieved = store['obj']
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... | closed | false | null | [] | null | 4 | 2018-04-03T15:39:09Z | 2018-11-23T03:25:15Z | 2018-11-23T03:25:15Z | NONE | null | - [x] closes #20594
- [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/20596 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20596/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20596/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20596/events | https://github.com/pandas-dev/pandas/issues/20596 | 310,892,389 | MDU6SXNzdWUzMTA4OTIzODk= | 20,596 | Troubles with date_range and DST | {
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```python
>>> pd.date_range('2018-10-23', '2018-11-06', freq='7D', tz='Europe/Paris')
DatetimeIndex(['2018-10-23 00:00:00+02:00', '2018-10-29 23:00:00+01:00', '2018-11-05 23:00:00+01:00'], dtype='datetime64[ns, Europe/Paris]', freq='7D')
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There might be a simpler minimal example, but I was already really struggeling to identify this problem and to find this example. The problem seems to be related to strings reappearing in different positions of the tuples, different length tuples and unequal sets o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20598 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20598/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20598/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20598/events | https://github.com/pandas-dev/pandas/issues/20598 | 311,003,919 | MDU6SXNzdWUzMTEwMDM5MTk= | 20,598 | pd.read_json ignoring encoding='utf-8-sig' | {
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... | 3 | 2018-04-03T21:24:07Z | 2018-04-05T02:24:59Z | 2018-04-04T13:42:26Z | NONE | null |
I work with a byte stream (from Azure DataLake https://pypi.python.org/pypi/azure-datalake-store/0.0.19 which only supports byte stream) that has a UTF-8 byte order mark, and want to read it into a data frame.
pandas.read_json fails.
For comparison, pd.read_csv(file, lines=True, encoding='utf-8-sig') works fine ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20599 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20599/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20599/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20599/events | https://github.com/pandas-dev/pandas/issues/20599 | 311,019,442 | MDU6SXNzdWUzMTEwMTk0NDI= | 20,599 | OverflowError: Python int too large to convert to C long | {
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... | 26 | 2018-04-03T22:23:20Z | 2021-11-16T14:30:18Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas
content = open('failing_pandas.json').readline()
pd = pandas.read_json(content, lines=True)
```
#### Problem description
This issue happens on `0.21.1`+ and doesn't happen on `0.21.0` for instance. I also tried it using the last ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20600 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20600/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20600/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20600/events | https://github.com/pandas-dev/pandas/pull/20600 | 311,041,013 | MDExOlB1bGxSZXF1ZXN0MTc5MjUxNjU0 | 20,600 | BUG/PERF: Fixed IntervalIndex.nbytes and itemsize | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2018-04-04T00:11:41Z | 2018-04-04T18:43:42Z | 2018-04-04T18:43:31Z | CONTRIBUTOR | null | Avoid materializing the ndarray of Intervals. Just get from left and right
instead.
Closes https://github.com/pandas-dev/pandas/issues/19209 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20601 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20601/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20601/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20601/events | https://github.com/pandas-dev/pandas/issues/20601 | 311,062,166 | MDU6SXNzdWUzMTEwNjIxNjY= | 20,601 | ERR: pivot_table when number of levels larger than int32 range | {
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"followers_url": "https://api.github... | 6 | 2018-04-04T02:20:11Z | 2018-12-31T13:16:44Z | 2018-12-31T13:16:44Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
import pandas as pd
dat = pd.DataFrame({'ind1':list(range(1337600))*2,'ind2':list(range(3040))*2*440,'count':[1]*2*1337600})
dat.pivot_table(index='ind1',columns='ind2',values='count',aggfunc='count')
```
#### Problem description
Above code raises t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20602 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20602/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20602/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20602/events | https://github.com/pandas-dev/pandas/issues/20602 | 311,095,390 | MDU6SXNzdWUzMTEwOTUzOTA= | 20,602 | Rolling Rank issues in pandas | {
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pd.rolling().max().
Here is my problem: when I want to get a time-series rank in a Series or a column in DataFrame, there is no function like pd.rolling().rank(). Is there any function can work as pd.rolling(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20603 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20603/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20603/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20603/events | https://github.com/pandas-dev/pandas/issues/20603 | 311,098,675 | MDU6SXNzdWUzMTEwOTg2NzU= | 20,603 | pandas.read_fwf doesn't work with skiprows=callable | {
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"id": 172... | open | false | null | [] | null | 1 | 2018-04-04T06:17:14Z | 2020-04-05T01:28:26Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas
table = """\
id8141 360.242940 149.910199 11950.7
id1594 444.953632 166.985655 11788.4
id1849 364.136849 183.628767 11806.2
id1230 413.836124 184.375703 11916.8
id1948 502.953953 173.237159 12468... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20604 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20604/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20604/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20604/events | https://github.com/pandas-dev/pandas/issues/20604 | 311,121,761 | MDU6SXNzdWUzMTExMjE3NjE= | 20,604 | Is it necessary to unify pandas and pd in docstring? | {
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] | closed | false | null | [] | null | 3 | 2018-04-04T07:53:31Z | 2018-04-23T08:32:54Z | 2018-04-23T08:32:54Z | NONE | null | There are two kinds of demonstration of pandas in current docstring, `pandas.` and `pd.`.
For example, [`pd.`](https://github.com/pandas-dev/pandas/blob/aa3fefc898b2f101f3cf83f90add69857926fcbe/pandas/core/reshape/concat.py#L270):
```python
msg = ('cannot concatenate object of type "{0}";'
' only pd.Series... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20605 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20605/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20605/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20605/events | https://github.com/pandas-dev/pandas/issues/20605 | 311,230,722 | MDU6SXNzdWUzMTEyMzA3MjI= | 20,605 | Calling pandas.cut with timedelta series and incompatible bins should raise TypeError | {
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```
In [1]: import pandas
In [3]: import numpy
In [10]: s = pandas.Series(numpy.timedelta64(i, 's') for i in range(5))
In [11]: s
Out[11]:
0 00:00:00
1 00:00:01
2 00:00:02
3 00:00:03
4 00:00:04
dtype: timedelta64[ns]
In [13]: pandas.cut(s, bins=[0, 2, 5])
Out[13]:
0 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20606 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20606/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20606/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20606/events | https://github.com/pandas-dev/pandas/issues/20606 | 311,238,210 | MDU6SXNzdWUzMTEyMzgyMTA= | 20,606 | Bar plot x-axis is indexed as integers starting from 0 regardless of values of the index | {
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```python
index = np.linspace(1,10,10)
values = np.random.random(size=(10))
koe1 = pd.Series(values,index=index)
ax = koe1.plot(kind='bar')
ax.axvline(2.5,ls='--',color='black',lw=0.5)
```
#### Problem description
Vertical line is plotted between tick... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20607 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20607/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20607/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20607/events | https://github.com/pandas-dev/pandas/issues/20607 | 311,238,437 | MDU6SXNzdWUzMTEyMzg0Mzc= | 20,607 | Calling pandas.cut with series of timedelta and timedelta bins raises TypeError, but should succeed | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2018-04-04T13:50:22Z | 2018-11-04T21:42:57Z | 2018-11-04T21:37:23Z | CONTRIBUTOR | null | #### Problem description
Attempting to call `pandas.cut` with a Series that contains timedelta values and bins that are timedelta values fails with TypeError.
#### Code Sample
```
In [1]: import datetime
In [2]: import numpy
In [3]: import pandas
In [4]: s = pandas.date_range('1/1/2018', periods=5, f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20608 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20608/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20608/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20608/events | https://github.com/pandas-dev/pandas/issues/20608 | 311,243,929 | MDU6SXNzdWUzMTEyNDM5Mjk= | 20,608 | read_json reads large integers as strings incorrectly if dtype not explicitly mentioned | {
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... | 16 | 2018-04-04T14:03:57Z | 2021-06-19T17:57:45Z | null | NONE | null | #### Code Sample (Original Problem)
```python
json_content="""
{
"1": {
"tid": "9999999999999998",
},
"2": {
"tid": "9999999999999999",
},
"3": {
"tid": "10000000000000001",
},
"4": {
"tid": "10000000000000002",
}
}
"""
df=pd.read... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20609 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20609/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20609/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20609/events | https://github.com/pandas-dev/pandas/issues/20609 | 311,269,867 | MDU6SXNzdWUzMTEyNjk4Njc= | 20,609 | Potential bug in remove_var? | {
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```python
# Your code here
cdef inline void remove_var(double val, double *nobs, double *mean_x,
double *ssqdm_x) nogil:
""" remove a value from the var calc """
cdef double delta
# Not NaN
if val == val:
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https://api.github.com/repos/pandas-dev/pandas/issues/20610 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20610/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20610/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20610/events | https://github.com/pandas-dev/pandas/issues/20610 | 311,290,984 | MDU6SXNzdWUzMTEyOTA5ODQ= | 20,610 | famafrench, pandas.io.data.DataReader error for files that do not end with line of length 2 | {
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"following_url": "https://api.github.com/users/sarah-schroeder/following{/other_user}"... | [] | closed | false | null | [] | null | 2 | 2018-04-04T15:57:07Z | 2018-04-04T17:14:45Z | 2018-04-04T17:14:44Z | NONE | null | I ran into a minor issue reading data from the Fama-French data library in pandas 0.16.2 where for some files in the data library, the file's second edge is not detected. For example, the DataReader does not return the data from the file 'F-F_Research_Data_5_Factors_2x3_daily_TXT' on Ken French's website:
```python... | {
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