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https://api.github.com/repos/pandas-dev/pandas/issues/27713 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27713/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27713/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27713/events | https://github.com/pandas-dev/pandas/issues/27713 | 476,234,175 | MDU6SXNzdWU0NzYyMzQxNzU= | 27,713 | DOC: Fix docstring quotes in pandas.PeriodIndex | {
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```
pandas.PeriodIndex.day: Docstring text (summary) should start in the line immediately after the opening quotes (not in the same line, or leaving a blank line in betwe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27714 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27714/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27714/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27714/events | https://github.com/pandas-dev/pandas/pull/27714 | 476,239,285 | MDExOlB1bGxSZXF1ZXN0MzAzODM1NDkx | 27,714 | REF/CLN: maybe_downcast_to_dtype | {
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The non-numeric portion of maybe_downcast_to_dtype casts to datetime64, datetime64tz, or PeriodArray. Following #27683 the next step in cleaning up internals i... | {
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https://github.com/python/cpython/blob/8990ac0ab0398bfb9c62031288030fe7c630c2c7/Lib/typing.py#L1452
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"id": ... | closed | false | null | [] | {
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```python
df = pd.concat({
'a': pd.DataFrame({
'col1': [1, 2],
'col2': [3, 4]
}),
'b': pd.DataFrame({
'col3': [5, 6],
'col4': [7, 8]
}),
}, axis=1)
```
<table border="1" class="dataframe">
<thead>
<tr>
<th></th>
<th cols... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27722 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27722/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27722/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27722/events | https://github.com/pandas-dev/pandas/issues/27722 | 476,362,890 | MDU6SXNzdWU0NzYzNjI4OTA= | 27,722 | What to use instead of pd.read_msgpack/df.to_msgpack | {
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FutureWarning: to_msgpack is deprecated and will be removed in a future version.
It is recommended to use pyarrow for on-the-wire transmission of pandas objects.
```
Is there a link/pointer for how to do this? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27723 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27723/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27723/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27723/events | https://github.com/pandas-dev/pandas/pull/27723 | 476,366,157 | MDExOlB1bGxSZXF1ZXN0MzAzOTM4NTY5 | 27,723 | CLN: collected cleanups from other branches | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27724 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27724/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27724/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27724/events | https://github.com/pandas-dev/pandas/issues/27724 | 476,375,251 | MDU6SXNzdWU0NzYzNzUyNTE= | 27,724 | STYLE: pre-commit does not use flake8-comprehensions plugin | {
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For a simple example, add the following line of code to a file in the codebase:
```python
sum([x + 1 for x in range(3)])
```
Then in the command... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27725 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27725/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27725/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27725/events | https://github.com/pandas-dev/pandas/pull/27725 | 476,375,459 | MDExOlB1bGxSZXF1ZXN0MzAzOTQ2MTY5 | 27,725 | STYLE: Add flake8-comprehensions to pre-commit configuration | {
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Running `pre-commit` with this change catches the error described in the issue.
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https://api.github.com/repos/pandas-dev/pandas/issues/27726 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27726/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27726/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27726/events | https://github.com/pandas-dev/pandas/pull/27726 | 476,388,181 | MDExOlB1bGxSZXF1ZXN0MzAzOTU2NDQw | 27,726 | BUG: fix+test DTA/TDA/PA add/sub Index | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Looking forward to doing a couple of test-cleanup passes. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27727 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27727/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27727/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27727/events | https://github.com/pandas-dev/pandas/pull/27727 | 476,408,002 | MDExOlB1bGxSZXF1ZXN0MzAzOTcxMjc4 | 27,727 | REF: define concat classmethods in the appropriate places | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-08-03T02:44:17Z | 2019-08-05T14:30:58Z | 2019-08-05T11:54:25Z | MEMBER | null | cc @jorisvandenbossche we briefly discussed at the sprint the idea that `dtype.concat` is a weird place to define these functions.
This PR takes the subset of `dtypes.concat` methods that are a) private and b) equivalent to `klass._concat_same_dtype` for some `klass` and moves the implementation to the appropriate c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27728 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27728/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27728/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27728/events | https://github.com/pandas-dev/pandas/issues/27728 | 476,437,326 | MDU6SXNzdWU0NzY0MzczMjY= | 27,728 | Unable to change normalize property of objects from to_offset() | {
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```python
from datetime import date
from pandas.tseries.frequencies import to_offset
from pandas.tseries.offsets import DateOffset
dt = date.today()
offset = to_offset("52W")
print(f"type: {type(offset)}\ndict: {offset.__dict__}")
print(f"{dt} -> {dt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27729 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27729/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27729/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27729/events | https://github.com/pandas-dev/pandas/issues/27729 | 476,444,851 | MDU6SXNzdWU0NzY0NDQ4NTE= | 27,729 | use DataFrame.style and can't get [cellstyle] as expected | {
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```python
# Your code here
df = DataFrame(np.arange(60).reshape(15,4),columns=['a','b','c','d'])
df1 = df>50
def b_color(val):
color = 'red' if val ==True else ''
return 'color: %s' % color
h_df = df1.style.applymap(b_color)
h_df._translat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27730 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27730/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27730/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27730/events | https://github.com/pandas-dev/pandas/pull/27730 | 476,466,122 | MDExOlB1bGxSZXF1ZXN0MzA0MDA5OTQz | 27,730 | BUG: update dict of sheets before check | {
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] | closed | false | null | [] | null | 9 | 2019-08-03T16:14:33Z | 2019-11-07T21:09:43Z | 2019-11-07T21:09:42Z | NONE | null | ```python
import pandas as pd
df = pd.DataFrame(
{
"id": ["1", "2", "3", "4", "5"],
"Feature1": ["A", "C", "E", "G", "I"],
"Feature2": ["B", "D", "F", "H", "J"],
},
columns=["id", "Feature1", "Feature2"],
)
writer = pd.ExcelWriter(path="testOutput.xlsx", mode="a", engine=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27731 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27731/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27731/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27731/events | https://github.com/pandas-dev/pandas/issues/27731 | 476,473,015 | MDU6SXNzdWU0NzY0NzMwMTU= | 27,731 | Object dtype for int64 and Int64 values in column | {
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```python
import pandas as pd
import numpy as np
df1 = pd.DataFrame({"id": ["1", "2", "3", "4", "5"]}, columns=["id"]).astype('float64').astype('int64')
df2 = pd.DataFrame({"id": ["1", "2", "3", "4", "5"]}, columns=["id"]).astype('float64').astype('Int64')
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https://api.github.com/repos/pandas-dev/pandas/issues/27733 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27733/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27733/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27733/events | https://github.com/pandas-dev/pandas/pull/27733 | 476,486,636 | MDExOlB1bGxSZXF1ZXN0MzA0MDIzNzYy | 27,733 | BUG: fix to_datetime(dti, utc=True) | {
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"followers_url": "https://api.github.... | 2 | 2019-08-03T20:26:27Z | 2019-08-05T21:09:30Z | 2019-08-05T20:29:17Z | MEMBER | null | - [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
ATM `to_datetime(naive_dti, utc=True)` returns naive incorrect, same for naive `DatetimeArray` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27735 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27735/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27735/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27735/events | https://github.com/pandas-dev/pandas/pull/27735 | 476,502,064 | MDExOlB1bGxSZXF1ZXN0MzA0MDMzNzky | 27,735 | REF: separate out invalid ops | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-08-04T00:35:40Z | 2019-08-05T16:38:29Z | 2019-08-05T15:52:11Z | MEMBER | null | We moved ops.py to `ops.__init__` a while back, still need to get the bulk of it out of `__init__`. This separates out templated invalid operations, which are the main things that outside modules import (this helps us move towards getting rid of the `import pandas as pd` in the main file) | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Splits `pandas/core/window.py` into more logical division of:
`pandas/core/window/rolling.py`
`pandas/core/window/expanding.py`
`pandas/core/window/ewm.py`
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https://api.github.com/repos/pandas-dev/pandas/issues/27737 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27737/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27737/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27737/events | https://github.com/pandas-dev/pandas/issues/27737 | 476,536,749 | MDU6SXNzdWU0NzY1MzY3NDk= | 27,737 | to_csv and read_csv return inconsistent result when value contains \r | {
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```python
dff = pd.DataFrame(data={'a':['a1\r','a2'],'b':['b1','b2']})
print("===BEFORE SAVE===")
print(dff)
dff.to_csv('test.csv', index=False)
print("===AFTER SAVE===")
print(pd.read_csv('test.csv'))
```
The result will be
```
===BEFORE SAVE===
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This makes ``core.base.py`` a bit cleaner. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27748 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27748/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27748/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27748/events | https://github.com/pandas-dev/pandas/issues/27748 | 476,608,876 | MDU6SXNzdWU0NzY2MDg4NzY= | 27,748 | Reference docs: Nearly empty page for pandas.DataFrame.plot | {
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] | closed | false | null | [] | null | 3 | 2019-08-05T00:05:01Z | 2020-01-22T08:43:23Z | 2020-01-22T08:43:23Z | NONE | null | The web page
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.html
is essentially empty. It should, instead, include the content from
https://pandas.pydata.org/pandas-docs/version/0.23/generated/pandas.DataFrame.plot.html
![Screen Shot 2019-08-04 at 17 03 33](https://user-images.gi... | {
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```python
import csv
import pandas as pd
data_dict = {'visitor_id': [123, 456],
'name': ['John Doe', 'Jane Doe']}
data_df = pd.DataFrame(data_dict)
data_df['visitor_id'] = data_df['visitor_id'].astype(str)
# Original dtype for visitor_id i... | {
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... | 7 | 2019-08-05T09:46:01Z | 2021-09-12T15:08:02Z | 2021-09-12T15:08:02Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# error pattern
import pandas as pd
unicode_data = [["key", "\u070a"]]
df = pd.DataFrame(unicode_data)
df.to_csv("./test.csv", encoding="cp932") # UnicodeEncodeError: 'cp932' codec can't encode character '\u070a' in position 6: illegal multibyte ... | {
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df = pd.DataFrame(0, index=[1,2,3,4], columns=['a', 'b', 'c'])
# Starting from 0.25 groupby pad behaves like other groupby functions in removing the grouping column
df.groupby(df.a).mean()
b c
a
0 0 0
df.groupby(df.a).pad()
b c
1 0 0
2 0 0
3 0 0
4 0 0
# However for other... | {
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"followers_url": "https://api.github.... | 0 | 2019-08-05T11:55:58Z | 2019-08-05T12:56:32Z | 2019-08-05T12:56:32Z | NONE | null | Backport PR #27715: TST: troubleshoot inconsistent xfails | {
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TypeError Traceback (most recent call last)
<ipython-input-46-3da3b949c6bd> in <module>
1 data = pd.Series([0,-1,-2,-3,-4,-3,-2,-1,0,-1,-1,0,-1,-2,-3,-2,0])
2 filt... | {
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"followers_url": "https://api.github.... | 13 | 2019-08-05T13:17:11Z | 2019-08-12T19:10:50Z | 2019-08-12T19:10:50Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.read_parquet('s3://my-bucket/df.parquet')
```
Raises
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/.../pandas/io/parquet.py", line 294, in read_parquet
return impl.re... | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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... | 5 | 2019-08-05T14:17:05Z | 2019-09-11T19:26:19Z | 2019-09-11T19:26:19Z | CONTRIBUTOR | null | #### Code Sample
```python
import pandas as pd
import matplotlib.pyplot as plt
ax = plt.subplots(1)[1]
ax.set_xlim((0, 10))
ax.set_ylim((0, 10))
x = pd.Series([], index=pd.Index([], dtype=float), dtype=float)
x.plot(ax=ax)
```
#### Problem description
It is not possible to `.plot()` an empty `Series`... | {
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```python
INDEX_COLS = ['group', 'timestamp']
left = pandas.DataFrame({
'group': ['a', 'a', 'b', 'b'],
'timestamp': [0, 1, 2, 5],
'obs1': [10, 11, 12, 15]
}).set_index(INDEX_COLS)
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```python
# Your code here
# Labor Day calendar
import pandas as pd
from pandas.tseries.holiday import AbstractHolidayCalendar, USLaborDay
class testCalendar(AbstractHolidayCalendar):
rules = [
USLaborDay,
]
cal = testCalendar()
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Pre-call coercion is still in there, exclusively for TimedeltaBlock and DatetimeBlock, i.e. will not be necessary if/when those are backed by EA. | {
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```
$ mypy pandas/io/formats/printing.py --check-untyped-defs --follow-imports skip
pandas\io\formats\printing.py:194: error: "str" has no attribute "decode"; maybe "encode"?
```
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```python
>>> arr = np.array([1, 3, np.nan, 3, 5])
>>> arr.setflags(write=False)
>>> pd.Series(arr).rolling(2).mean().values
---------------------------------------------------------------------------
ValueError: assignment destination is read-only
```
#... | {
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"followers_url": "https://api.github.... | 2 | 2019-08-06T00:42:26Z | 2019-08-06T15:39:34Z | 2019-08-06T15:39:20Z | CONTRIBUTOR | null | - [x] closes #27766
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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After this, CategoricalIndex will be defining comparison ops identically to DTA/TDA/PA, could share some code. | {
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... | closed | false | null | [] | null | 2 | 2019-08-06T05:36:36Z | 2019-10-07T21:29:21Z | 2019-10-07T21:23:41Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df1 = pd.read_csv("./data/test.csv")
print(df1)
df1.to_csv("./data/test1.csv")
test.csv has only one column "a" and one number is "656.964"，when I prepare to use "to_csv" then it has changed to 656.9639999.
I hope you can help solve this problem... | {
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```python
data = [[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]]
multi_index = pd.MultiIndex.from_product([['a', 'b'], ['one', 'two', 'three']])
df = pd.DataFrame(data, columns=multi_index, index=[1, 2])
df.to_excel('test_files/test.xlsx')
```
#### Problem description
When exporting an xlsx f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27775 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27775/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27775/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27775/events | https://github.com/pandas-dev/pandas/issues/27775 | 477,311,530 | MDU6SXNzdWU0NzczMTE1MzA= | 27,775 | IndexError: tuple index out of range after upgrade to 0.25 | {
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"followers_url": "https://api.github.... | 13 | 2019-08-06T10:56:09Z | 2019-08-09T07:36:58Z | 2019-08-09T07:36:58Z | NONE | null | Root cause (in both cases using `df = pd.DataFrame({'a': [1, 2, 3]})`):
```
In [71]: pd.__version__
Out[71]: '0.25.0'
In [73]: df.index[:, None]
Out[73]: Int64Index([0, 1, 2], dtype='int64')
In [74]: df.index[:, None].shape
Out[74]: (3,)
```
vs
```
In [10]: pd.__version__
Out[10]: '0.24.2'
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"description": "Related to indexing on s... | open | false | null | [] | null | 1 | 2019-08-06T12:14:21Z | 2019-11-02T22:00:20Z | null | NONE | null | ```python
import pandas as pd
pd.set_option('display.max_columns', None)
idx = pd.IndexSlice
df = pd.DataFrame(index=pd.Index([pd.Timestamp('20080101 23:00'),
pd.Timestamp('20080101 23:01')]), columns = pd.MultiIndex.from_product([[1,2],['A','B']]))
print(df)
df.loc[:,idx[:,'A']]=0
print(df)
df.loc[:,i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27777 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27777/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27777/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27777/events | https://github.com/pandas-dev/pandas/pull/27777 | 477,360,445 | MDExOlB1bGxSZXF1ZXN0MzA0Njk5ODM5 | 27,777 | Avoid calling S3File.s3 | {
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"followers_url": "https://api.github.... | 9 | 2019-08-06T12:48:03Z | 2019-08-12T19:10:55Z | 2019-08-12T19:10:50Z | CONTRIBUTOR | null | When reading from S3 using fastparquet. This attribute was removed in
s3fs 0.3.0. This change avoids accessing it by using a new method
`get_file_and_filesystem` which returns the filesystem in addition to the
file.
- [x] closes #27756
- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git di... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27778 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27778/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27778/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27778/events | https://github.com/pandas-dev/pandas/issues/27778 | 477,362,313 | MDU6SXNzdWU0NzczNjIzMTM= | 27,778 | ENH: allow new column names argument in DataFrame arithmetic ops | {
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] | closed | false | null | [] | null | 3 | 2019-08-06T12:51:50Z | 2019-08-09T18:32:22Z | 2019-08-09T18:32:21Z | MEMBER | null | Right now, for arithmetic operations like `add`, `div`, `pow` etc, the default is to rewrite input columns with new values (which are processed by those arithmetic operations), e.g.
```python
df = pd.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]})
df.div(10)
```
And this will return something like
```
| a | b |
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https://api.github.com/repos/pandas-dev/pandas/issues/27779 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27779/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27779/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27779/events | https://github.com/pandas-dev/pandas/issues/27779 | 477,400,086 | MDU6SXNzdWU0Nzc0MDAwODY= | 27,779 | Give more precise warning when passing `header=-1` in `pandas.read_csv`, or don't throw error | {
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"followers_url": "https://api.github.... | 3 | 2019-08-06T14:02:00Z | 2019-08-15T20:27:18Z | 2019-08-15T20:27:18Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
from io import StringIO
import pandas as pd
print(f"Using pandas version {pd.__version__}")
pd.read_csv(StringIO('spam'), header=-1)
```
> Using pandas version 0.25.0
>
>------------------------------------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27780 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27780/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27780/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27780/events | https://github.com/pandas-dev/pandas/pull/27780 | 477,413,932 | MDExOlB1bGxSZXF1ZXN0MzA0NzQzNjE2 | 27,780 | DOC: Add CoC to the README | {
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"followers_url": "https://api.github.com/users/wesm... | 4 | 2019-08-06T14:26:35Z | 2019-08-10T07:52:36Z | 2019-08-10T04:17:14Z | CONTRIBUTOR | null | - [ ] closes # xxx
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/27781 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27781/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27781/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27781/events | https://github.com/pandas-dev/pandas/issues/27781 | 477,433,734 | MDU6SXNzdWU0Nzc0MzM3MzQ= | 27,781 | Filtering dataframe with sparse column leads to NAs in sparse column | {
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... | 17 | 2019-08-06T15:00:41Z | 2021-07-10T19:27:45Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df1 = pd.DataFrame({"A": pd.SparseArray([0, 0, 0]), 'B': [1,2,3]})
# df1_filtered will have NAs in column A
df1_filtered = df1.loc[df1['B'] != 2]
df2 = pd.DataFrame({"A": pd.SparseArray([0, 1, 0]), 'B': [1,2,3]})
# df2_filt... | {
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```
In [62]: df = pd.DataFrame({'a': pd.Series([1, 2, 3], dtype='Int64'), 'b': [1, 2, 3]}) ... | {
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```
>>> df = pd.DataFrame({'name': ['Raphael', 'Donatello'],
... 'mask': ['red', 'purple'],
... 'weapon': ['sai', 'bo staff']})
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That said, this could be considered an API change, since now the "e... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27793 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27793/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27793/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27793/events | https://github.com/pandas-dev/pandas/pull/27793 | 477,716,680 | MDExOlB1bGxSZXF1ZXN0MzA0OTg2Njgy | 27,793 | DEPR: Remove previously deprecated IntervalIndex.from_intervals | {
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We deprecated this before `IntervalArray` was implemented, so no `from_intervals` to worry about there; `IntervalArray` file just has a "shared" docstring for `from_intervals` that isn't actually shared. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27794 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27794/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27794/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27794/events | https://github.com/pandas-dev/pandas/issues/27794 | 477,735,755 | MDU6SXNzdWU0Nzc3MzU3NTU= | 27,794 | Min/max does not work for dates with timezones if there are missing values in the data frame | {
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... | open | false | null | [] | null | 9 | 2019-08-07T06:41:53Z | 2021-07-10T19:28:04Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.concat([
pd.date_range(start='1/1/2018', end='1/30/2018').to_series().dt.tz_localize("UTC"),
pd.date_range(start='1/1/2018', end='1/20/2018').to_series().dt.tz_localize("UTC")
], axis=1)
df.min(axis=1)
```
###... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27795 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27795/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27795/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27795/events | https://github.com/pandas-dev/pandas/issues/27795 | 477,767,057 | MDU6SXNzdWU0Nzc3NjcwNTc= | 27,795 | df.astype(dict) drops 'names' on a multiindex | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2019-08-07T07:58:57Z | 2019-08-07T19:01:01Z | 2019-08-07T19:00:39Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame(
data=[1., 2., 3.],
columns=pd.MultiIndex.from_tuples(
[('A', 'X')],
names=['Top', 'Bottom'],
)
)
df2 = df.astype({('A', 'X'): 'int'})
print(df.columns.names)
print(df2.columns... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27796 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27796/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27796/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27796/events | https://github.com/pandas-dev/pandas/issues/27796 | 477,774,239 | MDU6SXNzdWU0Nzc3NzQyMzk= | 27,796 | Missing spaces between lines and y-axis | {
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```python
import pandas as pd
import matplotlib.pyplot as plt
plt.plot([1,2],[2,4])
pd.DataFrame([2,4],index=[1,2]).plot()
```
![image](https://u... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27797 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27797/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27797/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27797/events | https://github.com/pandas-dev/pandas/issues/27797 | 477,782,632 | MDU6SXNzdWU0Nzc3ODI2MzI= | 27,797 | groupby().ffill() column disappeared in pandas==0.25.0 | {
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```python
import pandas as pd
df = pd.DataFrame([[1, 1], [2, 2], [1, None], [2, None]], columns=['a', 'b'])
df.groupby('a').ffill()
```
#### Problem description
Dataframe df itself:
```
a b
0 1 1.0
1 2 2.0
2 1 NaN
3 2 NaN
```
Output of ```df.groupby('a').ffill()``` in 0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27798 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27798/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27798/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27798/events | https://github.com/pandas-dev/pandas/pull/27798 | 477,831,458 | MDExOlB1bGxSZXF1ZXN0MzA1MDc1MzAw | 27,798 | DOC: add print statement in to_latex example | {
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"id": ... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/wesm... | 4 | 2019-08-07T10:05:05Z | 2019-08-08T11:43:06Z | 2019-08-08T11:42:55Z | CONTRIBUTOR | null | changed `df.to_latex` to `print(df.to_latex)`
closes #27789
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https://api.github.com/repos/pandas-dev/pandas/issues/27799 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27799/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27799/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27799/events | https://github.com/pandas-dev/pandas/issues/27799 | 477,834,340 | MDU6SXNzdWU0Nzc4MzQzNDA= | 27,799 | BUG: pivot_table fails with aggfunc='size' and margins=True | {
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```python
import pandas as pd
# prepare DataFrame
df = pd.DataFrame({
'nr': [1,2,3,4,5,6,7,8],
'nr2': [1,2,3,4,5,6,7,8],
'cl':list('aabbcccc')
})
df['cl_cat'] = df.cl.astype('category')
```
This works:
```python
df.pivot_table(index='nr',... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27800 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27800/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27800/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27800/events | https://github.com/pandas-dev/pandas/issues/27800 | 477,921,074 | MDU6SXNzdWU0Nzc5MjEwNzQ= | 27,800 | BUG: aggregation on ordered categorical column drops grouping index or crashes, depending on context | {
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"followers_url": "https://api.github.com/users/j... | 14 | 2019-08-07T13:13:15Z | 2020-08-21T22:34:52Z | 2020-08-21T22:34:52Z | CONTRIBUTOR | null | ### Code Sample
Build the model data frame:
```python
df = pd.DataFrame({
'nr': [1,2,3,4,5,6,7,8],
'cat_ord': list('aabbccdd'),
'cat':list('aaaabbbb')
})
df = df.astype({'cat': 'category', 'cat_ord': 'category'})
df['cat_ord'] = df['cat_ord'].cat.as_ordered()
```
When grouping, single aggregati... | {
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"followers_url": "https://api.github.com/users/j... | 40 | 2019-08-07T14:45:47Z | 2020-07-08T14:47:45Z | 2020-07-08T14:38:16Z | CONTRIBUTOR | null | - closes #24382
- tests added
- passes `black pandas`
- passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- whatsnew entry
The methods added in this PR ignore `nan` ,i.e., `skipna=True`. The existing `categorical.min` return `nan` if `categorical` contain any `nan`. This behavior is expected in... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27802/events | https://github.com/pandas-dev/pandas/issues/27802 | 478,008,651 | MDU6SXNzdWU0NzgwMDg2NTE= | 27,802 | DOC: Series.str.slice() should show that negative values for start are allowed | {
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... | 0 | 2019-08-07T15:48:41Z | 2019-08-09T12:55:23Z | 2019-08-09T12:55:23Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
In [2]: pd.__version__
Out[2]: '0.25.0'
In [3]: s = pd.Series(["A1", "BC2", "DEF3"])
In [4]: s
Out[4]:
0 A1
1 BC2
2 DEF3
dtype: object
In [5]: s.str.slice(start=-1)
Out[5]:
0 1
1 2
2 ... | {
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- Comment on line 1034 notes possibly-inconsistent behavior that we should either change or add an explanatory comment for.
- Ditto line 1058
- Before long we'll be able to collapse all of the dispatch_to_extension_op cases ... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/27805 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27805/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27805/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27805/events | https://github.com/pandas-dev/pandas/issues/27805 | 478,064,158 | MDU6SXNzdWU0NzgwNjQxNTg= | 27,805 | DataFrame and Series iterators have many inconsistencies | {
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`Series.items()` and `DataFram... | {
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![Screen Shot 2019-08-07 at 10 03 39 PM]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27811 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27811/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27811/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27811/events | https://github.com/pandas-dev/pandas/pull/27811 | 478,166,295 | MDExOlB1bGxSZXF1ZXN0MzA1MzQyNDIz | 27,811 | REF: separate method-pinning functions | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-08-07T22:26:00Z | 2019-08-08T13:33:55Z | 2019-08-08T12:33:12Z | MEMBER | null | These are the ones that are executed at import-time and then never needed again. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27812 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27812/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27812/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27812/events | https://github.com/pandas-dev/pandas/issues/27812 | 478,211,779 | MDU6SXNzdWU0NzgyMTE3Nzk= | 27,812 | BUG:No xlabel for twinx axes in subploted figures | {
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... | open | false | null | [] | null | 6 | 2019-08-08T01:53:22Z | 2021-07-10T19:29:58Z | null | NONE | null | #### Code Sample
```python
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib as mpl
df=pd.DataFrame()
t1 = np.arange(1, 9.0, 1)
df['TIME'] = t1
df['DAT1'] = t1
df['DAT2'] = np.arange(9, 1.0, -1)
fig = plt.figure(constrained_layout=True)
gs = mpl.gridspec.GridSp... | {
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