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https://api.github.com/repos/pandas-dev/pandas/issues/40419 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40419/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40419/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40419/events | https://github.com/pandas-dev/pandas/pull/40419 | 830,937,703 | MDExOlB1bGxSZXF1ZXN0NTkyMzkwNTEy | 40,419 | DOC: Update backticks missing in pandas.DataFrame.query GH40375 | {
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
A new suggestion was made to include code styling.
Beginner's question: What is the p... | {
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In [1]: import pandas as pd
In [2]: pd.__version__
Out[2]: '1.2.3'
In [3]: tmp = pd.DataFrame({'f': [1,2]})
In [4]: import numpy as np
In [5]: tmp['h'] = np.nan
#This is the expected behaviour
In [6]: tmp['f'].clip(0, np.inf)
Out[6]:
0 1
1 2
Name: f, dtype: int64
# This seems wrong:
In ... | {
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Per discussion with @simonjayhawkins https://github.com/pandas-dev/pandas/pull/39501#issuecomment-798617105
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- [x] closes #21673
also indirectly (by providing an alternative to DataFrame.to_latex):
- [x] closes #38328 (enh: adding highlighting options to to_latex function)
- [x] closes #28291 (enh: add option to format \hline in to_latex)
- [x] closes #26278 (easier digit f... | {
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For a dataframe with 100,000 floats the current Styler default formatter will make 100,000 `get_option` lookups for the pandas precision.
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- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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https://api.github.com/repos/pandas-dev/pandas/issues/40427 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40427/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40427/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40427/events | https://github.com/pandas-dev/pandas/issues/40427 | 831,130,231 | MDU6SXNzdWU4MzExMzAyMzE= | 40,427 | "drop" fails by default when label to drop is not in the index, but "rename" silently passes by. Wouldn't it make sense to synchronize? | {
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.drop and .rename have similar signatures to some extent, and implement basic dataframe functionalities. When drop is called and the label is not in the index, it fails by default (due to the errors='raise' default parameter). However, when rename is called with a l... | {
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- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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... | 5 | 2021-03-14T11:42:24Z | 2021-08-19T02:04:26Z | null | NONE | null | Summary: if `from_records` is called upon a `Series` with index that doesn't start with `0`, it fails.
```python
import pandas as pd
print(f'Pandas version is {pd.__version__}')
data = pd.Series([{'a': 1, 'b': 2}, {'a': 11, 'b': 22}], index=[10, 20])
pd.DataFrame.from_records(data.values) # works
pd.DataFrame... | {
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- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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Currently ExcelWriter has **engine_kwargs to pass through to the engine, [although this is undocumented](https:... | {
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Not really. I simply wish I could use pandas to [protect](https://stackoverflow.com/questions/66611187/protect-a-nested-object-against-flattening-when-using-pandas-json-normalize) a nested structure / object / dict against flattening when using [pd.json_normalize()]... | {
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- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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- [Y ] I have confirmed this bug exists on the latest version of pandas.
- [ Y] (optional) I have confirmed this bug exists on the master branch of pandas.
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---
#### Code Sample, a copy-pastable example
```python
In [3]: import pandas as pd
In [4]: pd.__version__
Out[4]: '1.2.3'
In [5]: import numpy as np
In [7]:... | {
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Adds an HTML `escape` parameter to `Styler.format`, which acts to escape the data value **before** it is passed to a formatter.
For example, `Styler.format('<a href="a.com/{0}">{0}</a>', escape=True)` will not escape the HTML as part of the formatting function, it will only escape the value `... | {
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<!-- END pr-commits -->
## Base PullRequest
default branch (https://github.com/pandas-dev/pandas/tree/master)
## Command results
<details>
<summary>Details: </summary>
<details>
<summary><em>add path</em></summary>
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Currently, the `DataFrame(ndarray)` construction for ArrayManager still went through BlockManager and then `mgr_to_mgr` conversion, which is less efficient.
This PR adds a check in `ndarray_to_mgr` for directly creating an ArrayManager.
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
-------------
Hello,
While using pandas in my project, I saw the memory usage of my pr... | {
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- change `pandas.core.ops.roperator` imports to all import the module and use `roperator.<rop>` instead of importing the actual functions (this makes the usage similar as for the non-reversed operators with `import operator`)
- move `roperator.py` from pandas/core/ops to pandas/core, so it ca... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40445 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40445/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40445/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40445/events | https://github.com/pandas-dev/pandas/pull/40445 | 831,702,616 | MDExOlB1bGxSZXF1ZXN0NTkyOTgyOTA0 | 40,445 | PERF: no need to check for DataFrame in pandas.core.computation.expressions | {
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Although our test suite might not be the best suited to check that, since many tests are small a... | {
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Using a sm... | {
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As a part of a research project, me and two co-authors have been mining GitHub for Jupyter notebooks and studied a number of frequent function calls in the notebooks. It appears that users sometimes make calls to `read_csv` where they specify that non-date data should... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import pandas as pd
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When you call `read_csv` and the length of `names` is larger than the number of columns in the data, extra column(s) containing only `NaN` will be added to the DataFrame created. I think that, generally, the extra name(s) is/are a sign of a bug in the program and/or i... | {
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- [X] tests added / passed
- [X] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
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This was failing due to `elif np.issubdtype(dtype, np.floating)` [here](https://github.co... | {
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Also removing redundant code `cell_context.get("col_headings", {})` would **never** return anything other `{}` | {
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... | open | false | null | [] | null | 7 | 2021-03-15T23:24:27Z | 2021-03-23T02:38:46Z | null | MEMBER | null | i think it isnt getting run because it is "slow"
works fine on Ubuntu.
Might be a 3.9 thing; until fairly recently i couldnt install numba on 3.9
cc @mroeschke | {
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Broken off from #40149. Like #40149, this backs DTBlock/TDBlock by (sometimes 2D) DTA/TDA... | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.str.replace.html
#### Documentation problem
The documentation has DataFrame examples and not those related to Series
#### Suggested fix for documentation
Give examples related to Series.
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---
#### Question about pandas
An exemple is better than a talk.
```python
from sqlalchemy import create_engine, MetaData, Table, Column, String, Integer
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https://api.github.com/repos/pandas-dev/pandas/issues/40461 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40461/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40461/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40461/events | https://github.com/pandas-dev/pandas/issues/40461 | 832,557,474 | MDU6SXNzdWU4MzI1NTc0NzQ= | 40,461 | BUG: inconsistency in division for scalar Offset vs series/array of Offsets | {
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"description": "Arithmetic, Comparison, ... | open | false | null | [] | null | 2 | 2021-03-16T08:44:52Z | 2021-03-19T17:08:27Z | null | MEMBER | null | When dividing a scalar Offset with a numeric series, we get a timedelta64 series. But when dividing a Series of Offsets, we preserve the offsets.
```
In [26]: td = pd.offsets.Day(3)
In [27]: td / pd.Series([1, 2])
Out[27]:
0 3 days 00:00:00
1 1 days 12:00:00
dtype: timedelta64[ns]
In [28]: pd.Series(... | {
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"description": "Arithmetic, Comparison, ... | closed | false | null | [] | {
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```
In [19]: td = pd.offsets.Day(3)
In [20]: td / pd.Series([1, 2]*5000)
Out[20]:
0 3 days 00:00:00
1 1 days 12:00:00
...
9998 3 days 00:00:00
9999 1 days 12:00... | {
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This PR adds a auto-used fixture for `pandas/tests/arithmetic` that sets the `expressions._MIN_ELEMENTS` to 0, to force taking the numexpr path, even if our test data are small (which would otherwise never excercise the numexpr code path)
Further, it makes some fixes to get the tests passing with th... | {
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] | closed | false | null | [] | null | 2 | 2021-03-16T14:10:50Z | 2021-03-22T16:42:11Z | 2021-03-22T16:42:11Z | NONE | null | - [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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Preliminary before making index.pyi | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40466 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40466/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40466/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40466/events | https://github.com/pandas-dev/pandas/issues/40466 | 832,901,198 | MDU6SXNzdWU4MzI5MDExOTg= | 40,466 | QST: No common columns to perform merge on | {
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"descript... | closed | false | null | [] | null | 5 | 2021-03-16T15:06:50Z | 2021-04-25T17:47:39Z | 2021-04-25T17:47:39Z | NONE | null | ```
frequency = 'monthly'
start = '1969-12-31'
end = '2020-12-31'
data = quandl.get(["ISM/MAN_PMI"], trim_start=start, trim_end=end)
data.head()
```
ISM/MAN_PMI - PMI Date
1970-01-01 48.7 1970-02-01 47.4 1970-03-01 46.9 1970-04-01 45.0 1970-05-01 47.2
```
df_log = numpy.log(df / df.shift(1))
df_log.head()
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] | closed | false | null | [] | null | 3 | 2021-03-16T16:45:17Z | 2021-03-17T17:39:20Z | 2021-03-17T17:39:20Z | CONTRIBUTOR | null |
#### Code Sample, a copy-pastable example
I've not yet been able to isolate the code path where `run_callable` is used
https://github.com/pandas-dev/pandas/blob/ac3e3f71129bc9ea9ed0a27f3adcd89e367fa9af/pandas/io/sql.py#L1615-L1618
However, it looks like several tests, for example `pandas/tests/io/test_sql.py... | {
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I read an excel file with pandas via openpyxl package. It converts the number in the `'ATC'` column to a weird bitwise string. Previously I was using `xlrd(1.2.0)` instead of `openpyxl` and it was working fine:
```
# with openpyxl 3.0.7
df = pd.read_excel('excel_file.xlsx')
>>>... | {
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/... | {
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AFAICT we're not going to be able to annotate ndarrays with ndim/dtype any time soon. Might be worth looking into https://pypi.org/project/nptyping/ | {
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Nothing user-facing since it is only in ArrayManager. | {
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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In [2]: df = DataFrame(index=[3, 5, 4], columns=["A", "B"], dtype=float)
...: df["B"] = "string"
...: df.loc[[4, 3, 5], "A"] = np.array([1, 2, 3], dtype="int64")
In [3]: df
Out[3]:
A B
3 1 string
5 2 string
4 3 string
```
In the above (using master), the values [1, 2, 3] were se... | {
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Currently, we broadcast a Series to a DataFrame for elementwise operations in the "op(df, series)" case. This is done (I think) to be able to perform the operation block-wise (which is only implemented for block/block case, and not for block/array).
But, when us... | {
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... | closed | false | null | [] | null | 2 | 2021-03-17T15:09:10Z | 2021-03-22T12:53:01Z | 2021-03-22T12:53:01Z | NONE | null | i receive an excel attachment via outlook, after saving the file and running the python script the following warning is returned.
"UserWarning: Workbook contains no default style, apply openpyxl's default" if the warning is ignored then read_excel report 2 header records when there are 7 header records.
if I open ... | {
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It does not clear table styles, and it does not clear formats. It does not reset hidden index or hidden co... | {
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... | 3 | 2021-03-17T18:29:32Z | 2021-04-04T19:57:20Z | 2021-04-04T19:57:20Z | CONTRIBUTOR | null | #### Location of the documentation
[URL of the documentation](https://pandas.pydata.org/docs/development/contributing.html#creating-a-python-environment-pip)
**Note**: You can check the latest versions of the docs on `master` [here](https://pandas.pydata.org/docs/dev/).
(Problem exist in the latest version: [here]... | {
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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- [x] I have confirmed this bug exists on the latest version of pandas.
---
```python
>>> s = pd.Series([1, 2], index=['a', 'b'])
>>> s.explode(ignore_index=True)
a 1
b 2
dtype: int64
```
#### Problem description
Even though ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40488 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40488/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40488/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40488/events | https://github.com/pandas-dev/pandas/issues/40488 | 834,190,690 | MDU6SXNzdWU4MzQxOTA2OTA= | 40,488 | Cumsum not available to column of list-likes in groupby | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
df = pd.DataFrame({'a': [1,1,2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40489 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40489/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40489/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40489/events | https://github.com/pandas-dev/pandas/issues/40489 | 834,233,195 | MDU6SXNzdWU4MzQyMzMxOTU= | 40,489 | API: numeric inference in Series constructor | {
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```
data = np.array([np.nan, np.nan, 2.0], dt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40490 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40490/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40490/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40490/events | https://github.com/pandas-dev/pandas/pull/40490 | 834,236,481 | MDExOlB1bGxSZXF1ZXN0NTk1MDk3OTc5 | 40,490 | REF: share to_native_types with ArrayManager | {
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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Before the change:
- This **isthe** equivalent of the numpy.ndarray method argmax.
- This **isthe** equivalent of the numpy.ndarray method argmin.
After the change:
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... | 0 | 2021-03-18T14:30:13Z | 2021-08-19T02:37:51Z | null | MEMBER | null | The [`test_expressions.py` test file](https://github.com/pandas-dev/pandas/blob/master/pandas/tests/test_expressions.py) could be updated to use some more pytest features (eg using fixtures for the test data, using fixture for the setup/teardown to set `_MIN_ELEMENTS`) | {
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- [x] I have confirmed this bug exists on the latest version of pandas (1.0.5)
`series = pd.Series({'1':1,'2':None,'3':np.nan, '4':''}) `
will create a series which looks like:
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https://api.github.com/repos/pandas-dev/pandas/issues/40499 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40499/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40499/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40499/events | https://github.com/pandas-dev/pandas/issues/40499 | 834,939,044 | MDU6SXNzdWU4MzQ5MzkwNDQ= | 40,499 | BUG: pandas cannot open xlsx with openpyxl engine | {
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- [ x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/... | {
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https://github.com/pandas-dev/pandas/blob/00a622401e06bd7afaaa508707a46f3dcc494fe4/pandas/core/computation/expressions.py#L42-L43
However, I have been noticing while running lots of performance comparisons recently, that numexpr still seems to show some overhead at ... | {
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This improves the performance of this check by using some ndarray-specialized dtype checks (checking the kind instead ... | {
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- [ ] tests added / passed
- [ ] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing.html#code-standards) for how to run them
- [ ] whatsnew entry
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- [ ] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
I have a dataframe `season_statistics_T1`, its related information is given as follows. Ea... | {
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- Make consistent the formatting for references to function argument names. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40510 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40510/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40510/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40510/events | https://github.com/pandas-dev/pandas/pull/40510 | 835,438,893 | MDExOlB1bGxSZXF1ZXN0NTk2MDk3MzQ2 | 40,510 | CLN/PERF: remove unused out kwd in take_nd | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40512 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40512/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40512/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40512/events | https://github.com/pandas-dev/pandas/issues/40512 | 835,550,596 | MDU6SXNzdWU4MzU1NTA1OTY= | 40,512 | Pandas multiindex unstack fillna not working | {
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Here is an example.
```python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.randint(0,10,(5,4)),
columns=['c1','c2','c3','c4'])
df.iloc[1,2] = np.nan
df.iloc[0,0] = np.nan
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- [ X] I have confirmed this bug exists on the latest version of pandas.
- [X ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02... | {
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In some of the `FrameWithFrameWide` benchmarks, this takes up around 15% of the time.
While I don't think this should be needed (but let's see if warnings appear in the CI builds). | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40516 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40516/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40516/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40516/events | https://github.com/pandas-dev/pandas/pull/40516 | 835,710,133 | MDExOlB1bGxSZXF1ZXN0NTk2MzI2Njgw | 40,516 | STYLE no no-string-hints, combine some hooks | {
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Also combining som... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40517 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40517/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40517/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40517/events | https://github.com/pandas-dev/pandas/issues/40517 | 835,870,278 | MDU6SXNzdWU4MzU4NzAyNzg= | 40,517 | BUG: NonExistentTimeError when resampling series localized to 'America/Santiago' | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
s = pd.Series(0.0, pd.date... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40518 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40518/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40518/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40518/events | https://github.com/pandas-dev/pandas/issues/40518 | 835,933,729 | MDU6SXNzdWU4MzU5MzM3Mjk= | 40,518 | BUG: Unexpected behaviour of groupby + rank(pct=True, method="dense") | {
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- [x] I have confirmed this bug exists on the latest version of... | {
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