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https://api.github.com/repos/pandas-dev/pandas/issues/30415 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30415/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30415/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30415/events | https://github.com/pandas-dev/pandas/issues/30415 | 541,511,199 | MDU6SXNzdWU1NDE1MTExOTk= | 30,415 | DISCUSS: disambiguation of NA and "NA" in reprs | {
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... | 17 | 2019-12-22T22:55:35Z | 2020-01-09T16:18:58Z | 2020-01-09T16:18:58Z | NONE | null | ## Change to `str` `dtype` behaviour for missing elements
Following comments the discussion about how to handle missing `NA` scalar values in https://github.com/pandas-dev/pandas/issues/28778 I was asked to raise my question as this seperate issue.
My rather prosaic question is how if missing `str` elements are ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30416 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30416/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30416/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30416/events | https://github.com/pandas-dev/pandas/pull/30416 | 541,511,899 | MDExOlB1bGxSZXF1ZXN0MzU2MTI4NDc5 | 30,416 | BUG: Series.any() and .all() don't return bool values if dtype=object | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30417 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30417/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30417/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30417/events | https://github.com/pandas-dev/pandas/pull/30417 | 541,517,109 | MDExOlB1bGxSZXF1ZXN0MzU2MTMyNDAy | 30,417 | Replaced xrange with range | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30418 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30418/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30418/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30418/events | https://github.com/pandas-dev/pandas/pull/30418 | 541,531,634 | MDExOlB1bGxSZXF1ZXN0MzU2MTQ0NDUz | 30,418 | Fixing pandas/tests/indexes/multi/test_analytics.py to utilize python… | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-12-23T01:26:17Z | 2019-12-23T15:25:27Z | 2019-12-23T15:25:24Z | CONTRIBUTOR | null | Modified reflect python3 format strings on pandas/tests/indexes/multi/test_analytics.py. I ran the test and it passed like before. ref [#29886](https://github.com/pandas-dev/pandas/issues/29886) and [#29547](https://github.com/pandas-dev/pandas/issues/29547). | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30419 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30419/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30419/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30419/events | https://github.com/pandas-dev/pandas/pull/30419 | 541,533,248 | MDExOlB1bGxSZXF1ZXN0MzU2MTQ1Nzcz | 30,419 | BUG: strengthen typing in get_c_string, fix StringHashTable segfault | {
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@TomAugspurger it looks like String... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30420 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30420/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30420/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30420/events | https://github.com/pandas-dev/pandas/pull/30420 | 541,534,499 | MDExOlB1bGxSZXF1ZXN0MzU2MTQ2NzU0 | 30,420 | Fixing pandas/tests/indexes/datetimes/test_ops.py to utilize python3 … | {
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ref [#29886](https://github.com/pandas-dev/pandas/issues/29886) and [#29547](https://github.com/pandas-de... | {
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ref [#29886](https://github.com/pandas-dev/pandas/issues/29886) and [#29547](https://github.com/pandas-dev/pandas/issues/29547). | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30424 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30424/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30424/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30424/events | https://github.com/pandas-dev/pandas/pull/30424 | 541,605,610 | MDExOlB1bGxSZXF1ZXN0MzU2MjA0MDcx | 30,424 | CLN: changed .format to fstring in pandas/io/formats/csvs.py | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://github.com/pandas-dev/pandas/issues/29547
This file is not involved in https://github.com/pandas-dev/pandas/issues/2988 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30425 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30425/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30425/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30425/events | https://github.com/pandas-dev/pandas/pull/30425 | 541,616,290 | MDExOlB1bGxSZXF1ZXN0MzU2MjEyNjEz | 30,425 | CLN: changed .format to fstring in pandas/io/formats/csvs.py | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://github.com/pandas-dev/pandas/issues/29547
My first contribution. | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
As @simonjayhawkins says [here](https://github.com/pandas-dev/pandas/pull/30403#discussion_r360828949) (comment), having ```Union``` with both ```int... | {
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#### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
import pytz
temp_1 = pd.Series([pd.Timestamp("2019-07-19 07:04:57")])
temp_2 = pd.Series([pd.Timestamp("2019-07-19 07:04:57+0100", tz=pytz.FixedOffset(6... | {
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```python
import pandas as pd
import numpy as np
from tabulate import tabulate
def print_table(df, doc=False):
"""
Print out a nice looking table.
Set doc to True if you are printing this out for a Microsoft Word (11 x 8) document.
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry | {
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Ref @jbrockmendel comment here https://github.com/pandas-dev/pandas/pull/23454#discussion_r360933924
CI: fails as expected example [here](https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=23715&view=logs&j=fd89438c-1fd3-5981-222e-115d06c89c2d) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30433 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30433/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30433/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30433/events | https://github.com/pandas-dev/pandas/issues/30433 | 541,856,091 | MDU6SXNzdWU1NDE4NTYwOTE= | 30,433 | Pytest warnings JUnit XML Format | {
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```
pytest -m "not slow and not network" -n auto --dist=loadfile -s --strict --durations=10 --junitxml=test-data.xml pandas
##[warning]The 'junit_family' default value will change to 'xunit2' in pytest 6.0.
Add 'junit_family=legacy' to your pytest.ini file to silence this warning and make... | {
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closes #30391
xref #8113
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Because this is a plot PR, so I put the figures gotten by the two examples in those two PRs in this description to facili... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30435 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30435/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30435/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30435/events | https://github.com/pandas-dev/pandas/issues/30435 | 541,861,216 | MDU6SXNzdWU1NDE4NjEyMTY= | 30,435 | ENH/PERF: allow mask to be optional in our masked ExtensionArrays | {
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... | 2 | 2019-12-23T18:33:53Z | 2021-06-11T16:55:12Z | null | MEMBER | null | Our nullable, mask-based ExtensionArrays (currently integer and boolean, inheriting from MaskedArray) have a `_data` and `_mask` numpy arrays stored under the hood. SO we use a numpy boolean array as mask (8bit), also when there are no missing values.
One, relatively easy, memory + performance improvement could be a... | {
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... | 0 | 2019-12-23T18:52:37Z | 2021-07-25T03:04:57Z | null | MEMBER | null | Currently, we cast to float in the IntegerArray reducing ops:
https://github.com/pandas-dev/pandas/blob/db620397328567ff8153ae6031685b88c84dc8f8/pandas/core/arrays/integer.py#L673-L678
However, the `nanops` functions can already handle a mask. So with the appropriate fill_value, there should be no need to cast th... | {
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Some of this is things made possible since we enforced the integer add/sub deprecation. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30439 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30439/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30439/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30439/events | https://github.com/pandas-dev/pandas/issues/30439 | 541,952,834 | MDU6SXNzdWU1NDE5NTI4MzQ= | 30,439 | DataFrame.loc multiple columns replace | {
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pandas==0.25.3
```python
#! -*- coding:utf-8 -*-
import pandas as pd
df = pd.DataFrame([
{'a':'a1','b':'b1','c':'c1','d':'d1','e':'e1'},
{'a':'a2','b':'b2','c':'c2','d':'d2','e':'e2'}
])
import copy
df2 = copy.deepcopy(df)
print(df)
# a b c d e
# 0 a1 b1 c1 ... | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-12-24T02:25:18Z | 2019-12-24T13:39:46Z | 2019-12-24T13:39:42Z | CONTRIBUTOR | null | Modified to python3 format strings
ref: https://github.com/pandas-dev/pandas/issues/29547
- [x] contributes to fstring corrections in #29547
- [x] tests added / passed
- [x] passes `black pandas`
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-12-24T04:14:13Z | 2019-12-24T14:14:42Z | 2019-12-24T13:01:26Z | CONTRIBUTOR | null | updated to f-strings for:
pandas/tests/scalar/interval/test_ops.py
pandas/tests/computation/test_eval.py
pandas/tests/dtypes/*
pandas/tests/dtypes/cast/test_infer_dtype.py
pandas/tests/dtypes/test_dtypes.py
pandas/tests/dtypes/test_inference.py
held off on implementing for regex match strin... | {
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This issue may already be fixed by #30277. Opening this as requested in https://github.com/pandas-dev/pandas/pull/30277#pullrequestreview-335987704 . | {
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- [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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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-12-24T13:18:00Z | 2019-12-24T16:00:06Z | 2019-12-24T15:59:41Z | CONTRIBUTOR | null | Fixes EX03 errors in the examples of some docstrings in the script `pandas/core/ generic.py`.
Specifically, flake8 errors in the docstrings of the following functions were corrected:
```
pandas.DataFrame.add_prefix
pandas.DataFrame.add_suffix
pandas.DataFrame.head
pandas.DataFrame.last
pandas.DataFrame.pop
... | {
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* ref https://github.com/pandas-dev/pandas/pull/30398#pullrequestreview-336243679 | {
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akima and pchip have existed since at least scipy 0.14, and we require 1.1, so these checks are unnecessary. | {
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Annotation seems not to be able to added for `sort_values`. If added, error message will pop up in CI:
```
pandas/core/series.py:2691: error: Signature of "sort_values" incompatible with supertype "NDFrame"
pandas/core/frame.py:4701: error: Signature of "sort_values" inco... | {
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Note that this doesn't affect Windows (not sure yet if it can). Also previous attempts had `-j4` but I believe we only get 2 virtual cores for the CI machines so that was probably overkill. | {
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```
foo = (
"bar "
"baz"
)
```
we end up with `foo = "bar " "baz"` when we would want `foo = "bar baz"`.
This is [not](https://github.com/psf/black/issues/1051) considered a bug in `black`, so is something we're currently checking for manually... | {
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Currently on master we get these errors in the code_checks stage:
https://github.com/pandas-dev/pandas/pull/30452/checks#step:4:7
As per discussion here:
https://github.com/pandas-dev/pandas/pull/30370#discussion_r361213525
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The idea is that by cutting down on skips we can keep a closer... | {
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Seems like we are not return the return code of all these code checks - unless I am missing something?
Expected this to fail on master until https://github.com/pandas-dev/pandas/pull/30455 is merged
cc. @WillA... | {
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- [x] closes #15553
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This also fixes+tests Series cummin/cummax with dt64tz, will have to look to see if there are any GH issues for that.
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This PR fixes this issue by telling `MultiIndex` to only look for positional levels during an reordering operation.
Two new internal methods in `MultiIndex` class, and one new parameter for `DataFrame.reorder_levels` and `MultiIndex.reorder_l... | {
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```python
import pandas as pd
import numpy as np
data = pd.DataFrame(np.random.random((10,2)), index=['a', 'b']*5)
data.iloc[1:3,:] = np.nan
```
for pct_change function, when the fill_method = None, it works
```
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Fixed many of the strings in pandas/io/parsers.py except for the string at line 1501 as that will require more time to make it function properly. Please note that this is my first contribution ever so please double check my work! | {
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Can be merged, after merging #30464 | {
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Continue work done in https://github.com/pandas-dev/pandas/pull/29923
As of CPython 3.6 the implementation of dict maintains insertion order.
This became a language feature in python 3.7.
Note in python 3.8 support for reversed(dict) was added - but we don't seem to use that in the ... | {
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@tswast mind having a look?
CC: @jreback | {
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Test recently introduced in #30447 seems to be failing in master. Xfailing it for now.
CC: @jreback | {
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(Sorry for the confusion with the earlier draft)
#29886 | {
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Non strict xfail flakey test
@jreback
Reference: https://github.com/pandas-dev/pandas/pull/30447 | {
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Fixturize as per @jreback comment [here](https://github.com/pandas-dev/pandas/issues/30470#issuecomment-568942914).
closes #30470 | {
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This merge will add in a functionality that works as follows:
A table can be registered using register_temp_table(dataframe, table_name)
Then using pandas.query("select * from table_name") you can query the data frame or any other ones registered using standard sql syntax.
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I think it should work in a similar fashion.
A table can be registered using register_temp_table(dataframe, table_name).
Then using ```pandas.query("select * f... | {
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] | closed | false | null | [] | null | 1 | 2019-12-26T04:46:35Z | 2019-12-26T05:58:02Z | 2019-12-26T05:57:42Z | CONTRIBUTOR | null | Should be non-semantic. | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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] | closed | false | null | [] | null | 3 | 2019-12-26T10:03:51Z | 2019-12-30T09:32:26Z | 2019-12-28T12:49:02Z | CONTRIBUTOR | null | Many thanks for the vast range of I/O possibilities that pandas allows! I just met one edge (or maybe not so edge) case where an extra parameter could save some work, especially for newbie users.
#### Code Sample, a copy-pastable example if possible
```python
pd.DataFrame({"a": ['☿']}).to_html("a.html")
# Wou... | {
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... | 4 | 2019-12-26T10:38:06Z | 2021-10-29T02:22:58Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# input - 1
df = pd.DataFrame({})
df["x1"] = [1, 2, 3, 4, 5]
df["x2"] = [0, 0, 0, 1, 1]
df["target"] = [10, 20, 30, 40, 50]
y = df["target"]
df.drop("target", axis=1, inplace=True)
y = y + np.min(y)
# output df (without removed target column... | {
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- [x] closes #30289
- [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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this includes testing for ewm/rolling and others. let's put into separate files to make this simpler. | {
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This extension module allows a Series to conform to the buffer protocol, which makes it readable / writeable through memoryviews. Right now in places like groupby we always in user code extract out the underlying array and pass that through Cython, ... | {
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```
- Removed the previously deprecated :meth:`X`
- Removed previously deprecated :meth:`X`
- Removed :meth:`X`
```
I think we should standardize on one of these (lest readers think the difference is meaningful). I don't particularly care... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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After this is doing the same thing for "default value for keyword has changed" and last possibly re-ordering in some meaningful way. | {
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# Explanations
For to_sql no errors are raised anymore when we have Series containing datetimes with timezone and different offsets (unlike in GH... | {
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```sh
before after ratio
[9c6771c5] [5c0f5682]
<master> <json-index-dates>
- 231±60ms 188±3ms 0.82 io.json.ToJSON.time_iso_format('split', 'df_td_int_ts')
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I named this branch "bld-misc" in the optimistic hope I could close a bunch of BLD issues, but nope, just this one. | {
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This is a continuation of https://github.com/pandas-dev/pandas/pull/30274
- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `black pandas`
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```
>>> m = pd.offsets.Minute(4)
>>> m == "4min"
True
>>> m < "5min"
TypeError: Invalid comparison between Minute and str
```
In order to make this behavior more consistent, we should d... | {
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- [x] closes #xxxx
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This is my first PR, so pardon me if I did something wrong.
To fix this issue I started by creating a failing test based on the ... | {
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Fixed the remaining files in:
Replace "foo!r" to "repr(foo)" syntax #29886
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https://api.github.com/repos/pandas-dev/pandas/issues/30507 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30507/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30507/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30507/events | https://github.com/pandas-dev/pandas/pull/30507 | 542,729,293 | MDExOlB1bGxSZXF1ZXN0MzU3MTEzNDQ4 | 30,507 | BUG: pass 2D ndarray and EA-dtype to DataFrame, closes #12513 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30508 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30508/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30508/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30508/events | https://github.com/pandas-dev/pandas/pull/30508 | 542,736,165 | MDExOlB1bGxSZXF1ZXN0MzU3MTE4OTA2 | 30,508 | BUG: hash_pandas_object fails on array containing tuple #28969 | {
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ATM this implements a smoke-test that the cases don't raise, but I don't have a canonical answer to test them against. Could hard-code the result I... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30509 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30509/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30509/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30509/events | https://github.com/pandas-dev/pandas/pull/30509 | 542,737,140 | MDExOlB1bGxSZXF1ZXN0MzU3MTE5NzEx | 30,509 | DEPR+BUG: Dispatch Tick comparisons to Timedelta | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30510 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30510/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30510/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30510/events | https://github.com/pandas-dev/pandas/issues/30510 | 542,799,891 | MDU6SXNzdWU1NDI3OTk4OTE= | 30,510 | test | {
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```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30511 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30511/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30511/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30511/events | https://github.com/pandas-dev/pandas/issues/30511 | 542,844,810 | MDU6SXNzdWU1NDI4NDQ4MTA= | 30,511 | tz_localize creates freq inconsistency on time offset change | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-12-27T11:29:50Z | 2020-04-16T21:27:52Z | 2020-04-16T21:27:52Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
index = pd.date_range("2019-3-31", freq="30T", periods=10, tz="Europe/London")
print(index) # this has a freq
print(index.freq)
print(index.tz_localize(None)) # this shouldn't have it anymore, but it does
print(index.tz_loc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30512 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30512/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30512/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30512/events | https://github.com/pandas-dev/pandas/issues/30512 | 542,867,266 | MDU6SXNzdWU1NDI4NjcyNjY= | 30,512 | DataFrame.replace changes dtype of columns not containing any value to be replaced. | {
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"description": "Unexpected or buggy dtyp... | open | false | null | [] | null | 2 | 2019-12-27T12:56:22Z | 2021-07-25T04:23:39Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
data = pd.DataFrame({'A':np.nan,'B':1.096, 'C':1}, index=[0])
data.replace(to_replace={np.nan:None}, inplace=True)
```
#### Problem description
Checking data.dtypes before and after the call to replace s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30513 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30513/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30513/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30513/events | https://github.com/pandas-dev/pandas/issues/30513 | 542,936,499 | MDU6SXNzdWU1NDI5MzY0OTk= | 30,513 | Performance of merge for categorical index vs category column | {
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"de... | open | false | null | [] | null | 5 | 2019-12-27T17:11:06Z | 2021-07-25T19:11:42Z | null | CONTRIBUTOR | null | #### Code Sample
```python
import pandas
import numpy
import time
numpy.random.seed(11)
N=1_000_000
### 1. Merging on category index (3.85 seconds -slower)
# Create two (random order) dataframes with a column A with unique category dtype set as index
array_1 = numpy.arange(N)
numpy.random.shuffle(array_1)... | {
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