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... | closed | false | null | [] | null | 3 | 2020-08-08T04:23:52Z | 2020-08-10T13:22:25Z | 2020-08-10T13:08:01Z | NONE | null | # tp_print is deprecated
I'm getting ```tp_print is deprecated``` whenever I try to install Pandas on Termux.
Here's few lines of error I'm getting
```
/data/data/com.termux/files/usr/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated he
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```
=========================== short test summary info ============================
ERROR pandas/tests/arrays/categorical/test_warnings.py::TestCategoricalWarnings
ERROR pandas/tests/arrays/categorical/test_warnings.py::TestCategoricalWarnings
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---
#### Problem description
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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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Allowing inplace ops in indexes makes them more complicated wtr. caching etc. After ``inplace`` is removed, ``MultiIndex`` will be immutable, except the ``names`` attribute, similarly to other index classes. | {
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Yes. Databases that differentiate between Unicode and SBCS columns (notably Microsoft SQL Server `nvarchar` vs. `varchar`) can fail simple round-trips when using `to_sql` to write columns with Unicode strings.
#### Describe the solution you'd like
Change the d... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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I want to skip first 3 rows in my excel which contains heading and just take rest of rows.
i am using skiprows=3 in pd.read_excel() method, it is skipping first 3 rows but the problem is, it is including one extra column with name 2 ... | {
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This isn't yet identical to apply_blockwise, because both this and apply_blockwise have some odd behaviors that need to get standardized before they get combined into a BlockManager method, but this is a move in that direction. | {
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closes #35634
- [x] tests added / passed
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Pandas seems to be overwriting all the rows in the data frame with the 1st row present. This is happening specifically when introducing a new column in the data frame when running **func** method on e... | {
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I can't use, to_sql, api to insert data to a database table that complies with DB-API (pep-249) v2.
#### Describe the solution you'd like
I would like to use, to_sql, to insert data to a database table that complis with DB-API (pep-249) v2.
Example, I ... | {
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Notes:
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This has the added benefit of ``._values`` getting copied over to new copies of the MultiIndex, so also gives a perfor... | {
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- [ all versions] 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/wo... | {
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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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This is a draft PR to address 21266: Tooltips for DataFrames in Styler.
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- [x] I have confirmed this bug exists on the latest version of pandas.
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#### Code Sample, a copy-pastable example
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#### Code Sample, a copy-pastable example
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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For the given DataFrame How do I select data between two weeks?
Date Open High Low Close
0 01-08-2019 97.85 98.45 96.40 97.25
1 02-08-2019 97.15 98.95 96.75 98.15
2 05-08-2019 98.30 98.70 94.30 95.65
3 06-08-2019 95.75 97.75 95.20 97.05
4 07-08-2019 96.80 97.70 96.05 96.90
5 08-08-2019... | {
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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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I'm not completely sure this issue has not been submitted earlier, please accept my apologies if so. It is also possible that what I saw results from an incorrect use of the Pandas package.
It seems that boolean answers are not always rigourosly the same in Pandas, which is really disturbing, and... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35657 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35657/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35657/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35657/events | https://github.com/pandas-dev/pandas/issues/35657 | 676,346,737 | MDU6SXNzdWU2NzYzNDY3Mzc= | 35,657 | BUG: ValueError: cannot convert float NaN to integer - on dataframe.reset_index() | {
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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
import pandas as pd
df = pd.DataFrame(
di... | {
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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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Consider the following R example:
```r
# R code
> df <- data.frame(A=c(0:4), B=c("str0","str1","str2","str3","str4"), C=(1:5))
> df
A ... | {
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```bash
pandas\tests\io\parser\test_common.py:test_chunks_have_consistent_numerical_type
pandas\tests\io\parser\test_common.py:test_warn_if_chunks_have_mismatched_type
```
have been producing ResourceWarning occasionally on Windows-py37-np16 and travis-37. I think they might happen on other builds ... | {
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```bash
FAILED pandas/tests/io/json/test_json_table_schema.py::TestTableOrient::test_to_json
FAILED pandas/tests/io/json/test_json_table_schema.py::TestTableOrient::test_date_format_raises
FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_datetime_t... | {
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This bug reports a failure on second render(), due to `ctx` object, as a `defaultdict`, having a key inserted when it is queried, which then impacts the programming logic the second time it is run.
The solution is to move the query within conditional a few l... | {
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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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- [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://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.factorize.html
#### Documentation problem
The docs show the existence of a kwarg "dropna" which does not exist
#### Suggested fix for documentation
Delete the kwarg "dropna"
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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
Enable short_caption for ``DataFrame.to_latex`` by expanding the meaning of kwarg ``caption``.
Optionally ``caption`` can be a ``Tuple[str, str] = fu... | {
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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](as) detailing how to provide the necessary info... | {
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... | closed | false | null | [] | null | 2 | 2020-08-11T15:51:35Z | 2020-09-04T18:04:10Z | 2020-09-04T18:04:10Z | NONE | null | - [x] I have checked that this issue has not already been reported.
- I can't find anything in the bug tracker that matches the symptoms I'm reporting here, although it's a bit difficult to search (I'm not totally sure how to describe it)
- [x] 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/35671 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35671/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35671/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35671/events | https://github.com/pandas-dev/pandas/issues/35671 | 677,007,140 | MDU6SXNzdWU2NzcwMDcxNDA= | 35,671 | df[col].astype('interval') no longer works for interval string | {
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```
df = pd.DataFrame(data={'i': [pd.Interval(0, 2, closed='left')]})
df['i'] = df['i'].astype(str)
df['i'].astype('interval')
# throws: TypeError: type <class 'str'> with value [0, 2) is not an interval
```
We d... | {
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- [ ] closes #35657
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [x] closes #34014
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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By adding a custom ``__iter__`` method to ``RangeIndex``, we partly avoid needing to create/cache the expensive ``_data`` attribute and partly it's just faster to iterate over a ``range`` than a ``ndarray``:
```python
>>> idx = pd.RangeIndex(100_000)
>>> %%timeit
... for _ in idx:
...... | {
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```python
dtf.to_csv('gs://mybucket/test1.csv.gz')
dtf.to_csv('gs://mybucket/test2.csv.gz', compression='gzip')
```
#### Problem description
Compression is not working for a file located on gs://
#### Expected Output
Working as a local version.
#### Output ... | {
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] | closed | false | null | [] | null | 1 | 2020-08-11T20:33:00Z | 2020-08-14T07:30:17Z | 2020-08-14T07:30:17Z | MEMBER | null | The monthly dev meeting is Wednesday August 12th, at 18:00 UTC. Our calendar is at https://pandas.pydata.org/docs/development/meeting.html#calendar to check your local time.
Video Call: https://zoom.us/j/942410248
Minutes: https://docs.google.com/document/u/1/d/1tGbTiYORHiSPgVMXawiweGJlBw5dOkVJLY-licoBmBU/edit?ouid... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35679 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35679/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35679/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35679/events | https://github.com/pandas-dev/pandas/issues/35679 | 677,208,170 | MDU6SXNzdWU2NzcyMDgxNzA= | 35,679 | BUG: DataFrame.to_pickle(bytes_io_buffer) is automatically closed internally | {
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#### Code Sample
```python
import pandas as pd
import io
# create example DataFrame
d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d)
# load dataframe into bytesIO
buffer = io.BytesIO()
df.to_pickle(path=buffer)
# make sure buffer is still open
assert not buffer.closed
```
#### P... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35680 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35680/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35680/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35680/events | https://github.com/pandas-dev/pandas/issues/35680 | 677,260,009 | MDU6SXNzdWU2NzcyNjAwMDk= | 35,680 | BUG: Different results from Series.replace with compiled regex | {
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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/35681 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35681/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35681/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35681/events | https://github.com/pandas-dev/pandas/pull/35681 | 677,311,281 | MDExOlB1bGxSZXF1ZXN0NDY2NDQ4NzU4 | 35,681 | BUG/ENH: compression for google cloud storage in to_csv | {
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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
By inferring the compression before converting the path to a file object `df.to_csv("gs://mybucket/test2.csv.gz", ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35682 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35682/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35682/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35682/events | https://github.com/pandas-dev/pandas/issues/35682 | 677,363,347 | MDU6SXNzdWU2NzczNjMzNDc= | 35,682 | QST: Such a behavior of DataFrameGroupBy.cumcount() is intended ?? | {
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] | closed | false | null | [] | null | 1 | 2020-08-12T03:58:20Z | 2020-08-17T14:54:06Z | 2020-08-13T07:56:46Z | NONE | null | #### Question about pandas
Let's say we have a `DataFrame` named by `pdf` like the below.
```python
>>> pdf = pd.DataFrame([['a'], ['a'], ['a'], ['b'], ['b'], ['a']], columns=list('A'))
>>> pdf
A
0 a
1 a
2 a
3 b
4 b
5 a
```
For above `pdf`, `GroupBy.cum~` functions seems not work, but raise ... | {
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... | 12 | 2020-08-12T04:10:24Z | 2020-12-20T11:09:06Z | 2020-12-20T11:09:06Z | NONE | null | - [x] I have checked that this issue has not already been reported.
- Possibly related to [this issue](https://github.com/pandas-dev/pandas/issues/35670), but from what I can see, it's not quite the same thing (might be different symptoms of the same problem)
- [x] I have confirmed this bug exists on the latest vers... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35684 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35684/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35684/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35684/events | https://github.com/pandas-dev/pandas/issues/35684 | 677,585,983 | MDU6SXNzdWU2Nzc1ODU5ODM= | 35,684 | BUG: get UserWarning about FixedFormatter/FixedLocator in series.plot() | {
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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
pd.Series({"20190102": 10, "20190... | {
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"description": "Administrative tasks ... | open | false | null | [] | null | 7 | 2020-08-12T11:17:29Z | 2021-08-08T20:00:23Z | null | MEMBER | null | @simonjayhawkins you have been doing great work on finding the causes of bugs/regressions!
To make it easier for other contributors to also do this, I think it would be nice to document this is the contributing docs (even though it is relying on git, using it with pandas (which needs to be rebuilt for each commit) re... | {
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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
Do not close user-provided file-objects in `to_pickle` and `read_pickle`. | {
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Underlying cause is that the `*Splitter` classes do not use the `._constructor` property and do not call `__finalize__`.
Please note that the method name used for `__finalize__` calls was my best guess since document... | {
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`pandas.read_sql_query` supports Python "generator" pattern when providing `chunksize` argument. It's not very helpful when working with large datasets, since the whole data is initially retrieved from DB into client-side memory and later chunked into separate frame... | {
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Observations inlined and ex... | {
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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.
In version 1.0.5 the below was running successfully, but in 1.1.0, this is now broken as ... | {
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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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For example:
```python
>>> import pandas as pd
>>> a = pd.DataFrame()
>>> a['a'] = pd.Series([1, None, 3], dtype="Int32")
>>> a['b'] = pd.Series([True, False, None], dtype="boolean")
>>>... | {
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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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Making the window.rolling usage use this helper method is the next step. | {
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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2020-08-13T10:30:51.9470350Z isort --version-number
2020-08-13T10:30:52.2249999Z 5.4.0
2020-08-13T10:30:52.2443133Z Check import format using isort
2020-08-13T10:30:56.4886273Z ##[error]ERROR: /home/runner/work/pandas/pandas/pandas/_testing.py Imports are incorrectly sorted and/or formatted.
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https://api.github.com/repos/pandas-dev/pandas/issues/35706 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35706/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35706/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35706/events | https://github.com/pandas-dev/pandas/issues/35706 | 678,441,584 | MDU6SXNzdWU2Nzg0NDE1ODQ= | 35,706 | BUG: pandas dataframe style render produces incorrect html with multiindex | {
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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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- [ ] passes `black pandas`
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https://api.github.com/repos/pandas-dev/pandas/issues/35709 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35709/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35709/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35709/events | https://github.com/pandas-dev/pandas/pull/35709 | 678,553,227 | MDExOlB1bGxSZXF1ZXN0NDY3NDgwOTk2 | 35,709 | add web/ directory to isort checks | {
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- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/35710 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35710/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35710/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35710/events | https://github.com/pandas-dev/pandas/issues/35710 | 678,571,165 | MDU6SXNzdWU2Nzg1NzExNjU= | 35,710 | ENH: DataFrame.append is slow when the DataFrame is huge | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2020-08-13T16:30:54Z | 2020-08-13T16:54:22Z | 2020-08-13T16:54:22Z | CONTRIBUTOR | null | #### Is your feature request related to a problem?
pandas.DataFrame.append is slow.
Users use DataFrame.append multiple times. And it's more pronounced when the data is huge.
That would take a long time to combine the data.
So some users are using DataFrame.from_dict which is faster than DataFrame.append. (check ad... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35711 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35711/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35711/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35711/events | https://github.com/pandas-dev/pandas/pull/35711 | 678,619,059 | MDExOlB1bGxSZXF1ZXN0NDY3NTM3MDM0 | 35,711 | CI: Check for file leaks in _all_ tests | {
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Still have two tests failing locally, but I'm not seeing any socket leaks that I occasionally see in the CI logs.
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https://api.github.com/repos/pandas-dev/pandas/issues/35712 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35712/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35712/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35712/events | https://github.com/pandas-dev/pandas/pull/35712 | 678,655,211 | MDExOlB1bGxSZXF1ZXN0NDY3NTY3MDM1 | 35,712 | PERF: RangeIndex.format performance | {
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This rectifies that + gives some perf. improvements.
```python
>>> idx = pd.RangeIndex(1_000_000)
>>> %timeit idx.format()
4.6 s ± 102 ms per loop # pandas v1.1.0
1.67 s ± 1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35713 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35713/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35713/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35713/events | https://github.com/pandas-dev/pandas/issues/35713 | 678,834,018 | MDU6SXNzdWU2Nzg4MzQwMTg= | 35,713 | BUG: read_csv converts quoted strings to floats with quoting=csv.QUOTE_NONNUMERIC | {
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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 csv
import io
imp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35714 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35714/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35714/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35714/events | https://github.com/pandas-dev/pandas/issues/35714 | 678,966,849 | MDU6SXNzdWU2Nzg5NjY4NDk= | 35,714 | BUG: Negative RangeIndex can have positive step | {
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] | closed | false | null | [] | null | 1 | 2020-08-14T07:39:16Z | 2020-08-17T14:54:30Z | 2020-08-14T07:55:56Z | CONTRIBUTOR | null | Python allows positve steps in ranges, e.g.
```python
>>> rng = range(2, -2)
>>> rng.step
1 # positive step in a negative range
list(rng)
[] # empty
```
which surprises me and surely must be a bug in Python. This affects pandas' RangeIndex:
```python
>>> idx = pd.RangeIndex(2, -2)
>>> df = pd.DataFra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35715 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35715/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35715/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35715/events | https://github.com/pandas-dev/pandas/issues/35715 | 679,047,117 | MDU6SXNzdWU2NzkwNDcxMTc= | 35,715 | Attribute "dtype" are different error with testing.assert_frame_equal | {
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"description": "pandas testing functions... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2020-08-14T09:59:34Z | 2020-08-17T18:20:20Z | 2020-08-17T18:20:20Z | NONE | null | Hi,
When trying testing.assert_frame_equal, I get an assert error.
E Attribute "dtype" are different
E [left]: Int64
E [right]: Int16
However, for assert_frame_equal, I do set the argument `check_dtype=False`.
From traceback, I can see that `assert_extension_array_equal` is bein... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35716 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35716/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35716/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35716/events | https://github.com/pandas-dev/pandas/pull/35716 | 679,057,459 | MDExOlB1bGxSZXF1ZXN0NDY3OTAwNzky | 35,716 | Backport PR #35673 on branch 1.1.x (REGR: Dataframe.reset_index() on empty DataFrame with MI and datatime level) | {
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"followers_url": "https://api.github.com/users/jr... | 0 | 2020-08-14T10:17:29Z | 2020-08-14T11:15:48Z | 2020-08-14T11:15:48Z | NONE | null | Backport PR #35673: REGR: Dataframe.reset_index() on empty DataFrame with MI and datatime level | {
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