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Fixes CI for Windows 3.7 np1.6; regression in scipy 1.6.1 (https://github.com/scipy/scipy/issues/13585)
Alternative would be to pin build, wasn't sure which i... | {
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"d... | open | false | null | [] | null | 1 | 2021-02-24T15:55:33Z | 2021-02-24T17:14:06Z | null | MEMBER | null | We currently run the base extension tests also for the `PandasArray` (to have coverage of this array class), but because we actually don't allow to store this in a Series/DataFrame, the tests do some patching to workaround this:
https://github.com/pandas-dev/pandas/blob/dec7d213fb27e9eafb61201f173c241d7105f772/panda... | {
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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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xerf #37277 cc @TomAugspurger this is failing one of the dask tests locally, looks like das... | {
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I recently posted an inquiry on Stack Overflow requesting assistance regarding Pandas and down-sampling. I had some forward binned data, particle counts logged at various diameters:
296.54,303.14,311.88,320.87,330.12,339.63,349.42,359.49,369.86,380.52,391.49,402... | {
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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
df = ... | {
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The main remaining blocker to that is downstream usage. @jorisvandenbossche i know pyarrow accesses some of core.internals, do you know if it is just `make_block` or is anything else accessed? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40029/events | https://github.com/pandas-dev/pandas/pull/40029 | 815,725,159 | MDExOlB1bGxSZXF1ZXN0NTc5NTA3NDI1 | 40,029 | STYLE: Inconsistent namespace - apply (pandas-dev#39992) | {
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- [x] xref #39992
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https://api.github.com/repos/pandas-dev/pandas/issues/40032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40032/events | https://github.com/pandas-dev/pandas/issues/40032 | 815,785,551 | MDU6SXNzdWU4MTU3ODU1NTE= | 40,032 | BUG: Styler format `na_rep` arg overwrites existing when not given. | {
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It seems the two do not play well together:
```
df = pd.DataFrame([[1,2],[3,4]])
df.iloc[0,0] = np.nan
df.style.set_na_rep('MISS').set_precision(1)
MISS | 2
3.0 | 4
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- [X] tests 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
Proposed speed up for very simple use cases using the `pd.json_normalize` function. E.g. `pd.json_normalize(data)`
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Currently, for large CSV files, pandas parse a column with mixed data types with only a warning (DtypeWarning)
[https://github.com/pandas-dev/pandas/blob/v1.2.2/pandas/errors/__init__.py#L57-L112](url)
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- [x] tests added / passed
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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.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [x] closes #40044
- [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
So, in #27808 , `leg.legendHandles` was replaced with `ax.get_legend_... | {
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```
pytest -m "not slow and not network" -n auto --dist=loadfile -s --strict-markers --durations=30 --junitxml=test-data.xml pandas
ImportError while loading conftest '/Users/runner/work/1/s/pandas/conftest.py'.
pandas/__init__.py:51: in <module>
from pandas.core.api im... | {
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- [x] I have confirmed this bug exists on the latest version of pandas (current version is 1.2.2 on conda)
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-past... | {
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This passes / skips all groupby tests (in `/tests/groupby`). Actual code changes:
- fix `groupby().count()` to not create a ArrayManager with 2D arrays
- for now skip the usage of `fast_apply` / `libreduction.apply_frame_axis0` for DataFrames with ArrayManager. This can be tackled ... | {
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Problem: a bunch of places pass i8 values
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- [ ] tests added / passed
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Idea: put the ndarray-wrapping methods in cython
Upsides: performance! stat... | {
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The columns in a DataFrame have names. When you iterate over a groupby object and get the names of the groups (which correspond to values in the original DataFrame), the group names are returned as ordinary `tuple`s and so their correspondence to the columns of the ... | {
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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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- [X] tests added: `test_display_format_subset_interaction`: why: see below.
- [X] tests removed: `test_format_bad_na_rep`: why: `na_rep` works if not string in some cases - changed to duck-typing.
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import pandas as pd
print(pd.__version__)
1.2.2
Problem described in other places:
1) https://github.com/pandas-dev/pandas/issues/21892
2) https://github.com/pandas-dev/pandas/pull/25573
3) https://github.com/pandas-dev/pandas/pull/3... | {
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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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Hunting this down, I'm replicating the most-weird benchmark (asv reports 1.27±0ms vs 789±3μs) in ipython
```
arr = np.ones(10**6, dtype="int8")
ser = pd.Series(arr)
func = ser.sum
%t... | {
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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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- [ ] 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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- [ ] 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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```
In [1]: idx=pd.date_range('20000101','20201231',periods=50000)
...:
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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
d1 = pd.DataFrame([("a",)]... | {
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Currently the 0/1 -> 1/0 axis switch for the BlockManager happens on the DataFrame side, while I think it would be a bit cleaner to let this be the responsibility of the BlockManager method being called.
For illustration, the diff of this PR is such a... | {
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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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---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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This PR factors out adding ` (right)` to labels which are meant to go on the right y-axis. This does not change anything user-facing, and is simply a precursor t... | {
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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.
---
Coming from [here](https://github.com/pandas-dev/pandas/issues/13432#issuecomment-78... | {
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- [ ] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
#### Question about pandas
Hello,
I'm the maintainer of a Python library to s... | {
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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.
---
The unit test at `pandas/tests/io/test_common.py` produces a file using a hardcoded name... | {
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Moves relevant tests into test_invalid_arg. Had to rename two tests because they were of the same name, but no other changes. I organized the file by the reason ... | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
#### Code Sample
```python
import pandas as pd
d = pd.DataFrame(dict(a = range(10)))
def f(x):
print(x)
if x.iloc[0,0] == 2:
raise Exception('prob... | {
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also CategoricalIndex.insert | {
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- [ yes] I have confirmed this bug exists on the latest version of pandas.
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https://api.github.com/repos/pandas-dev/pandas/issues/40102 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40102/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40102/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40102/events | https://github.com/pandas-dev/pandas/issues/40102 | 817,866,706 | MDU6SXNzdWU4MTc4NjY3MDY= | 40,102 | BUG: groupby().tranforms return ValueError | {
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---
Here's the code:
```python
In [9]:
s = pd.Series([1, 3, 5, np.nan, 6, 8])
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Task is to update the mypy pin in environment.yml and requirements-dev.txt, run `mypy pandas`, and... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40107 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40107/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40107/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40107/events | https://github.com/pandas-dev/pandas/pull/40107 | 817,926,913 | MDExOlB1bGxSZXF1ZXN0NTgxMzMzMDQ3 | 40,107 | BLD: updated mypy version to 0.812 | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2021-02-27T13:54:11Z | 2021-02-27T18:31:47Z | 2021-02-27T18:31:25Z | CONTRIBUTOR | null | - [x] closes #40106
- [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
- [ ] whatsnew entry
After making necessary changes
```bash
mypy pandas
```
O/P
```
Success: no issues... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40109 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40109/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40109/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40109/events | https://github.com/pandas-dev/pandas/pull/40109 | 817,958,399 | MDExOlB1bGxSZXF1ZXN0NTgxMzU4MjYy | 40,109 | CLN: remove never-hit branch from maybe_infer_to_datetimelike | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40110 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40110/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40110/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40110/events | https://github.com/pandas-dev/pandas/issues/40110 | 817,965,989 | MDU6SXNzdWU4MTc5NjU5ODk= | 40,110 | API/BUG: Series(floating, dtype=intlike) ignores dtype, DataFrame casts | {
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With floating data and integer dtypes, its the opp... | {
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```
vals = [
"nan",
pd.Timestamp("1990-01-01"),
"2015-03-14T16:15:14.123-08:00",
"2019-03-04T21:56:32.620-07:00",
None,
]
ser = pd.Series(vals)
```
As expected, this comes back as object-dtype, but it also does some casting:
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https://api.github.com/repos/pandas-dev/pandas/issues/40112 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40112/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40112/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40112/events | https://github.com/pandas-dev/pandas/issues/40112 | 817,972,644 | MDU6SXNzdWU4MTc5NzI2NDQ= | 40,112 | API: Signature of UDF methods | {
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... | open | false | null | [] | null | 2 | 2021-02-27T17:09:39Z | 2021-08-19T01:33:02Z | null | MEMBER | null | There are many signatures of pandas methods that take a UDF. If I've missed methods, please let me know and will update.
Below, `other_arg` is a placeholder for 1 or more keyword arguments, and `value` is a placeholder for the default value.
Signature: `func, other_arg=value, args=value, **kwargs`
- [Series.a... | {
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Some minor normalizations before breaking up or parametrizing these tests | {
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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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"description": "Related to the Index cla... | open | false | null | [] | null | 4 | 2021-02-27T19:55:33Z | 2021-08-19T01:33:39Z | null | NONE | null | I am using Pandas 1.1.5 and get to the error `ValueError: Reindexing only valid with uniquely valued Index objects`.
Here is a self contained MRE:
```
import pandas as pd
from pandas import Timestamp
my_dict = my_dict = {('a',): 'x1', ('b',): 'x1', ('c', 'c1'): 'x1', ('c', 'c2'): 'x1', ('c', 'c3'): 'x1', ('c', '... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40116 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40116/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40116/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40116/events | https://github.com/pandas-dev/pandas/pull/40116 | 818,005,817 | MDExOlB1bGxSZXF1ZXN0NTgxMzkzMzM5 | 40,116 | PERF: DTA/TDA _simple_new disallow i8 values | {
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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/40117 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40117/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40117/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40117/events | https://github.com/pandas-dev/pandas/pull/40117 | 818,015,306 | MDExOlB1bGxSZXF1ZXN0NTgxNDAwMTg1 | 40,117 | Backport PR #40090 on branch 1.2.x | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40118 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40118/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40118/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40118/events | https://github.com/pandas-dev/pandas/pull/40118 | 818,063,511 | MDExOlB1bGxSZXF1ZXN0NTgxNDI2NjQ4 | 40,118 | CI: skip array-manager test | {
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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
should get the CI back to green | {
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