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The problem with the option is that `conftest.py` files are read first, *before* handling the option in `pytest_sessionstart`. This means that any DataFrame or Series that gets constructed... | {
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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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- [ ] tests added / passed
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As far as I can tell there is no way to write a DataFrame to a specific (named) sheet in an existing Excel file, creating the sheet if it doesn't exist or overwriting if it does. The closest thing to this that exists is the openpyxl append mode, but if you try to writ... | {
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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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From [this action's README](https://github.com/technote-space/create-pr-action), all the actions have commit email and commit name set ... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
Version 1.2.3
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import pa... | {
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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
index = pd.MultiIndex.from... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40236 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40236/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40236/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40236/events | https://github.com/pandas-dev/pandas/pull/40236 | 822,625,570 | MDExOlB1bGxSZXF1ZXN0NTg1MjIxMjM3 | 40,236 | PERF: non-cython groupby.apply | {
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xref #40227 which also gets 13%
Potential pitfall if _constructor is particularly wonky. | {
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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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In test_frame_transform.test_transform_partial_failure, two of the tests did not actually ... | {
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The `See Also` doc strings here reference methods created in those PRs - if we push this through now I will fix it later if those methods don't get approved before 1.3.0.
The tests that were edited contained redundant code and were not testing. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40245 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40245/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40245/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40245/events | https://github.com/pandas-dev/pandas/issues/40245 | 822,868,841 | MDU6SXNzdWU4MjI4Njg4NDE= | 40,245 | ENH: consistency of input args for boundaries | {
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... | 15 | 2021-03-05T08:28:22Z | 2021-09-14T10:00:26Z | null | CONTRIBUTOR | null | There are some methods where boundary inputs are required.
This issue proposes standardising to the keyword arg: `inclusive` and using values `{"both", "neither", "left", "right"}`.
- [x] Styler.highlight_between(): `'inclusive' in {"both", "neither", "left", "right"}`
- [x] Series.between() (#40628): `'inclus... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40246 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40246/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40246/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40246/events | https://github.com/pandas-dev/pandas/pull/40246 | 822,878,721 | MDExOlB1bGxSZXF1ZXN0NTg1NDI5ODIz | 40,246 | PERF: specialized 1D take version | {
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This gives a bit of code duplication (but all large parts of the function were already factored out into shared helper functions before, like `_take_preprocess_indexer_and_fill_value`), but having a 1D version gives... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40247 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40247/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40247/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40247/events | https://github.com/pandas-dev/pandas/pull/40247 | 822,891,152 | MDExOlB1bGxSZXF1ZXN0NTg1NDM5OTAw | 40,247 | BENCH: add DataFrame.reindex(columns=..) benchmark that selects existing columns | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40248 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40248/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40248/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40248/events | https://github.com/pandas-dev/pandas/pull/40248 | 822,900,867 | MDExOlB1bGxSZXF1ZXN0NTg1NDQ3ODky | 40,248 | PERF: avoid validating indices repeatedly in ArrayManager.reindex_indexer | {
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In `ArrayManager.reindex_indexer`, we are currently using `take`, which validates the indices each time. Since we know we have the same indices for each column, we can validate them once, and use the lower level `take_nd`.
From the `frame_methods.py::Reindex`... | {
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Currently, the [to_hdf](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_hdf.html) function allows to input a p... | {
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<details>
<summary>pd.show_versions()</summary>
```
INSTALLED VERSIONS
------------------
commit : f2c8480af2f25efdbd803218b9d87980f416563e
python : 3.8.7.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40251 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40251/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40251/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40251/events | https://github.com/pandas-dev/pandas/pull/40251 | 822,987,788 | MDExOlB1bGxSZXF1ZXN0NTg1NTE5NjQ0 | 40,251 | [ArrayManager] Fix window operations with axis=1 | {
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With this PR, all `pandas/tests/window/` tests are passing. It was basically only the `axis=1` case that was not working (since you can't do that column-wise) | {
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I am looking at some `isna` related benchmarks, and noticing a lot of overhead related to checking of types. This makes `_isna_ndarraylike` stricter to only handle ndarray and EA, and not Series/Index (and therefore also renamed it to `_isna_array`).
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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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Fix docs typos and small grammatical update
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The regex `[\W]_axis` is showing this removes the only occurances of the variable `_axis` throughout all of `pandas.core`. It is only set in groupby in a branch ... | {
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libreduction and the associated callers are a disproportionate maintenance headache [citation needed]. It would be nice to be able to rip it out and just have one path for those methods, but that would entail a non-trivial ... | {
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This is dynamic generated code. so I am also OK with leaving theses ignores in play to highlight this. these mypy errors could be interpreted as not being false positives. | {
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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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we should probably have a base implementation (or make memory_usage an abstract method). without doing this we have no way of enforcing that the method has a `deep` parameter.
I am quite happy leaving the ignore in play to highlight this. | {
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yes, sometimes, expecially when created by 3rd party application old excel file can be corrupted:
https://www.codeforests.com/2020/05/28/fix-the-compdocerror-for-xlrd/
https://stackoverflow.com/questions/12705527/reading-excel-files-with-xlrd
https://stackoverf... | {
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- [x] tests added / passed - plotting
- [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
- [ ] whatsnew entry
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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 (not sure where to add this?)
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However, cpplint have a pre-commit hook which can be used.
- [x] closes https://github.com/MarcoGorelli/pyladies-sprint-March-2021/issues/2
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- [x] tests added / passed
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I find this much clearer. Along with #40256 we'll be able to get rid of split_and_operate ... | {
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Just realised it seems a bit pointless to have two api functions:
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used in multiple targets. To workaround the distutils bug, create
unique .c files for each target that just #include the original file.
- [x] closes #30873
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- [x] tests added / passed
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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
import pandas as pd
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- [x] closes #40215
- [ ] tests added / passed
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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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#### Is your feature request related to a problem?
So we have come across a problem at work. We often pre-process data by feeding generators into each other. In order to be able to work with rows independently and not store meta information somewhere, these rows are fed through as dicts where the... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40297 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40297/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40297/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40297/events | https://github.com/pandas-dev/pandas/pull/40297 | 824,268,585 | MDExOlB1bGxSZXF1ZXN0NTg2NTMwMjk2 | 40,297 | ⬆️ UPGRADE: Autoupdate pre-commit config | {
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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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This basically just adds IO testing to the set of tests we run for ArrayManager. I already added skips for JSON in the past (and now also for PyTables IO and pickle), so those are still skipped now as well. | {
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- Check in `ArrayManager.unstack` whether there will be missing values introduced or not, and if not, pass `allow_fill=False` to the `take` function, so this can take a more performant path (and doesn't need to check repeatedly for `indexer == -1`). And th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40302/events | https://github.com/pandas-dev/pandas/issues/40302 | 824,485,933 | MDU6SXNzdWU4MjQ0ODU5MzM= | 40,302 | BUG: FileCreateError for large excel file created with ExcelWriter | {
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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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I was exploring the Parquet IO, and pyarrow has an option to not created consolidated blocks. If we do this when wanting to create an ArrayManager, we can reduce the memory usage. It's a bit slower, though, because there is still the overhead of creating more bl... | {
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small grammatical update to the documentation | {
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before after ratio
[5ef41593] [6a7ac9e4]
<master> <interpolate_2d>
+ 3.44±0.04ms 5.14±0.4ms 1.50 frame_methods.Fillna.time_frame_fillna(True, 'pad', 'Float64')
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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/2018/02/28... | {
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line2 : import numpy as np
line3 :
line4 : gd = pd.read_csv('Desktop/Data_Science/abcd_efgh.csv')
for the above code i was getting the error as follows
---------------------------------------------------------------------------
ParserError Traceback (mo... | {
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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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## `Styler.to_html` method
This PR adds the above method to `Styler`.
This is a **minimal** introduction with limited arguments to provide just the core file io functionality and basic options, either to write a fully structured HTML file or just the `Styler.render` outpu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40313 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40313/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40313/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40313/events | https://github.com/pandas-dev/pandas/issues/40313 | 825,126,757 | MDU6SXNzdWU4MjUxMjY3NTc= | 40,313 | ENH: Consider adding alternative calculation of centered moving averages for even window size | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40314/events | https://github.com/pandas-dev/pandas/pull/40314 | 825,340,207 | MDExOlB1bGxSZXF1ZXN0NTg3NDQ1NzMw | 40,314 | ERR: Raise NotImplimentedError for EWMA with times and adjust=False | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/40315 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40315/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40315/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40315/events | https://github.com/pandas-dev/pandas/issues/40315 | 825,378,135 | MDU6SXNzdWU4MjUzNzgxMzU= | 40,315 | BUG: Inconsistent rounding up and rounding down in Timestamp.round (v1.2.3) | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/40316 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40316/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40316/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40316/events | https://github.com/pandas-dev/pandas/issues/40316 | 825,516,599 | MDU6SXNzdWU4MjU1MTY1OTk= | 40,316 | BUG: Inserting series into dataframe does ignore column names/keys | {
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I am initializing a dataframe with column names and was able to insert a pandas se... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40317 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40317/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40317/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40317/events | https://github.com/pandas-dev/pandas/pull/40317 | 825,547,183 | MDExOlB1bGxSZXF1ZXN0NTg3NjMwODQy | 40,317 | PERF: reduce overhead in groupby _cython_operation | {
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Using the `GroupManyLabels` benchmark we have
```python
ncols = 1000
N = 1000
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https://api.github.com/repos/pandas-dev/pandas/issues/40318 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40318/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40318/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40318/events | https://github.com/pandas-dev/pandas/issues/40318 | 825,651,794 | MDU6SXNzdWU4MjU2NTE3OTQ= | 40,318 | BUG: unexpected DataFrame output when LaTeX is used in column names | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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