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The following code works well, both in 1.4.0 and 1.2.5:
```python
df = pd.DataFrame(["=1+7"])
with pd.ExcelWriter("test.xlsx",engine="openpyxl") as writer:
df.to_excel(writer,sheet_name="Sheet2")
pd.DataFrame(["=1+1"]).to_excel(writer,sheet_name="Sheet2",header=None,index=False,startc... | {
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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
- [x] whatsnew entry - not applicable
I mainly wanted this functionality myself, and am very... | {
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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/2018/02/28... | {
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This path is deprecated so this snippet will be removed in 2.0.
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The main tests showing up in the slowest durations are the groupby `numba` tests. Would it ma... | {
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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
Limiting the numba `engine_kwargs` parameterization for groupby tests similar to #42024
cc @mzeitlin11 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42239/events | https://github.com/pandas-dev/pandas/issues/42239 | 930,488,785 | MDU6SXNzdWU5MzA0ODg3ODU= | 42,239 | PERF: regression in datetimelike symmetric_difference set op | {
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_Originally posted by @jorisvandenbossche in https://github.com/pandas-dev/pandas/issues/41833#issuecomment-858560156_ | {
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But as far as I can see, that didn't fix the regression in https://pa... | {
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- [x] tests added / passed
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The perf gap is pretty crazy:
```
In [10]: rng = np.random.default_rng()
In [11]... | {
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- [x] closes #42229
- [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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I don't know if it's a particularly useful benchmark, but there is a big slowdown potentially related to this PR: https://pandas.pydata.org/speed/pandas/#frame_methods.Shift.time_shift?python=3.8&Cython=0.29.21&p-axis=1&commits=05a0e98a-bc62e768
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One example: https://pandas.pydata.org/speed/pandas/#period.Indexing.time_get_loc?python=3.8&Cython=0.29.21&commits=ddc28a42
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It's of course a... | {
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- [x] tests added / passed
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@TomAugspurger @lithomas1 I have made a fix to this issue and I wonder if do you mind have... | {
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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
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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
No whatsnew because this was introduced in 1.3
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"... | closed | false | null | [] | null | 5 | 2021-06-26T16:27:08Z | 2021-08-17T02:45:28Z | 2021-08-17T02:45:28Z | NONE | null | This is the most fundamental approach to creating new folders when a user specifies a path that is missing in file creation methods like `to_csv`, `to_excel`, `to_feather` etc. We can do this in [io/common.py:`get_handle()`](https://github.com/pandas-dev/pandas/blob/50a59bac1f2bcbf9ac87c7a4160d4355be512294/pandas/io/co... | {
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Seeing if this helps for #42236
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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/2018/02/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42261 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42261/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42261/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42261/events | https://github.com/pandas-dev/pandas/pull/42261 | 930,782,409 | MDExOlB1bGxSZXF1ZXN0Njc4NDA1MDg0 | 42,261 | BUG: Fix to_datetime() cache behaviour to not omit duplicated output values | {
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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
- [x] whatsnew entry
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- [x] tests added / passed
Applicable for 1.3.0 since this behavior can appear for the new `method="table"` feature for rolling/expanding
cc @jbrockmendel
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https://api.github.com/repos/pandas-dev/pandas/issues/42263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42263/events | https://github.com/pandas-dev/pandas/pull/42263 | 930,786,668 | MDExOlB1bGxSZXF1ZXN0Njc4NDA4Mjg2 | 42,263 | CLN: simplify take2d_axis0 generated code | {
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```
@cython.wraparound(False)
@cython.boundscheck(False)
def take_2d_axis0_int8_int32(const int8_t[:, :] values,
ndarray[intp_t] indexer,
int32_t[:, :] out,
fill_value... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42264 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42264/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42264/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42264/events | https://github.com/pandas-dev/pandas/pull/42264 | 930,793,169 | MDExOlB1bGxSZXF1ZXN0Njc4NDEzMDg4 | 42,264 | CLN: Group tests for apply/agg/transform with a string argument | {
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Reorg of apply tests, grouping all those that take a string argument together. Plan to next create `test_list` and `test_dict`, then all other test files in appl... | {
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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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xref #42258 which makes the same change for PeriodIndex._can_partial_date_slice but its be... | {
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I would like to apply `map` to some columns and not others.
Then, I could apply dataframe methods to the resulting dataframe.
For example,
```
# Apply map to column "cat" and compute correlations on the resulting dataframe
df.map({'cat': {'n': 0, 'y': 1}... | {
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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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- [ ] tests added / passed
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```
import pandas as pd
import numpy as np
N = 10 ** 5
left = pd.IntervalIndex.from_... | {
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- [x] tests added / passed
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- [ ] 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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```
import pandas as pd
import string, itertools
data_unique = pd.CategoricalIndex(
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- [x] checks an item off #40675
The current mechanics are unstructured and the tests is not future proof (if new attributes are added tests will not pick these up and fail). This PR generalises the construction and future proofs the tests. No user facing change.
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- [ ] 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/2018/02/2... | {
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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>
```Shell
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... | 8 | 2021-06-28T07:17:59Z | 2021-07-16T06:56:23Z | null | NONE | null | #### Is your feature request related to a problem?
In pandas version 1.2.5., using groupby.max() on a large matrix of int8 datatype 0/1 values, pandas casts the dataframe to int64, resulting in
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Traceback... | {
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... | 1 | 2021-06-28T07:46:52Z | 2021-10-20T15:45:18Z | null | CONTRIBUTOR | null | This is a tracker / explainer for the various issues:
- (#21221)
- (#25185)
- (#30008)
- (#34438)
Essentially these issues record 3 things:
### Set_table_styles
`Styler.set_table_styles` is **not** exported to excel. This will not be changed (at least by me). To write xlsx, excel styling needs to be atta... | {
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I've expanded on the use of a context manager to handle the closing of the database connection after the connection has been opened. I've also included a warning at the end of the section highlighting problems with leaving the database connection open. I think these additio... | {
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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
Have added clarification to the user guide on the default behaviour of `to_timedelta` when a string is passed. | {
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with pd.ExcelWriter('asdf.xlsx', engine='xlsxwriter', options={'nan_inf_to_errors': True}) as writer:
pass
```
gives
```
scratch.py:38: FutureWarning: Use of **kwargs is deprecated, use engine_kwargs instead.
with pd.ExcelWriter('asdf.xlsx', engine='xlsxwriter', options={'nan_inf_to_errors': True})... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42287 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42287/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42287/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42287/events | https://github.com/pandas-dev/pandas/issues/42287 | 931,946,380 | MDU6SXNzdWU5MzE5NDYzODA= | 42,287 | BUG: expanding numba functions being cached with arguments | {
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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
```python
def expanding_multiply(values, x):
arr = value... | {
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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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Once enforced this will match the DatetimeIndex/DatetimeArray/Series behavior | {
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One of the tests is copied from #35498 | {
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Seeing some open resource test failure in excel writer, but not sure why. Checking if they occur on CI too.
B... | {
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Should fix #42240, #42247, not checking the box because I jumped the gun last time. | {
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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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- [x] closes #26070
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- [x] I have confirmed this bug exists on the latest version of pandas.
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IIUC for pandas extension arrays, for each location where `_mask` is `True`, the value of... | {
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This seems to be similar to much older bugs 14621 and 7825, but I can't see an open one,
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Occurs with 1.2.4 which seems to be the current one I can get.
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https://api.github.com/repos/pandas-dev/pandas/issues/42311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42311/events | https://github.com/pandas-dev/pandas/issues/42311 | 932,990,188 | MDU6SXNzdWU5MzI5OTAxODg= | 42,311 | ENH: `json_normalize` flatten lists as well | {
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Right now `json_normalize` will leave lists encountered within dictionaries intact:
```
import pandas as pd
df = pd.json_normalize([{"a": [1, 1]}, {"a": [1, 2]}])
print(df)
```
output:
```
a
0 [1, 1]
1 [1, 2]
```
Each entry is a `list` object in this case. I am not really sure ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42314/events | https://github.com/pandas-dev/pandas/issues/42314 | 933,034,892 | MDU6SXNzdWU5MzMwMzQ4OTI= | 42,314 | WEB: Use appropriate favicon when user has browser in dark mode | {
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Modern browsers usually support a dark mode, and when users have it activated, our favicon (our logo for light backgrounds) doesn't look really nice:
![S... | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/42316 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42316/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42316/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42316/events | https://github.com/pandas-dev/pandas/issues/42316 | 933,245,943 | MDU6SXNzdWU5MzMyNDU5NDM= | 42,316 | DOC: timedelta return type | {
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https://github.com/pandas-dev/pandas/blob/master/pandas/core/tools/timedeltas.py#L70
#### Documentation problem
Is `numpy.array of timedelta64` the correct return time for to_timedelta? I see it here as `TimedeltaIndex`: https://github.com/pandas-dev/pandas/blob/master/pandas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42317 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42317/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42317/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42317/events | https://github.com/pandas-dev/pandas/pull/42317 | 933,271,493 | MDExOlB1bGxSZXF1ZXN0NjgwNTAzMzk2 | 42,317 | Revert "REF: move shift logic from BlockManager to DataFrame" | {
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Discussed in #42246, we can revert for 1.3 without breaking anything, then un-revert in 1.4 and have some time to sort out the perf trouble. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42318 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42318/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42318/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42318/events | https://github.com/pandas-dev/pandas/pull/42318 | 933,294,924 | MDExOlB1bGxSZXF1ZXN0NjgwNTIyOTU5 | 42,318 | PERF/REGR: symmetric_difference revert most of #41833 | {
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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
aimed at #42239 | {
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"followers_url": "https://api.github.com/users/jreback/followers",... | 2 | 2021-06-30T05:11:39Z | 2021-07-04T21:44:44Z | 2021-07-04T21:35:37Z | MEMBER | null | - [ ] closes #xxxx
- [ ] 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
There are a bunch of issues about inconsistent dropping of MultiIndex levels: #12827, #1863... | {
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