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... | closed | false | null | [] | null | 6 | 2021-05-22T20:29:22Z | 2021-07-16T13:14:38Z | 2021-07-16T13:14:38Z | NONE | null | #### Is this an error in Pandas to_datetime conversion?
**Initial data stored in following format as dtype: object:**
17:00:00
**After using following code, data is returned with year added and desired dtype: datetime**
```
df['$Time'] = pd.to_datetime(df['$Time'], exact=True, format='%H:%M:%S', errors='coerce... | {
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- [x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
---
I've a simple "ods" file (Test01.ods) with the below data in "sheet1" :-
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"de... | open | false | null | [] | null | 5 | 2021-05-23T02:58:55Z | 2021-08-21T01:33:54Z | null | MEMBER | null | `Index._concat` (used by `Index.append`) is thin wrapper around `concat_compat`. It is overriden by CategoricalIndex so that CategoricalDtype is retained more often than it is in `concat_compat`. We should make these match.
If we just rip `CategoricalIndex._concat`, we break 6 tests, all of which boil down to:
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[pandas.merge_asof()](https://pandas.pydata.org/docs/reference/api/pandas.merge_asof.html) states regarding `left_on`parameter:
_left_on : label
Field name to join on in left DataFrame._
#### Suggested fix for documentation
I tried to see if like `merge_ordered` a vector the size... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41629 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41629/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41629/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41629/events | https://github.com/pandas-dev/pandas/issues/41629 | 899,013,970 | MDU6SXNzdWU4OTkwMTM5NzA= | 41,629 | QST: difference using ['column'] or .column? | {
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... | null | 6 | 2021-05-23T12:53:17Z | 2021-05-26T03:45:10Z | 2021-05-26T03:45:04Z | NONE | null | Hi All,
I was wondering if you have any guidelines as to when it is possible to just go for df.column instead of df['column'], as I prefer the former for code styling, but I recall it gave me some issues before. I'm not sure I understand the specific difference between one and the other, is there any?
For now, wh... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41630 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41630/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41630/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41630/events | https://github.com/pandas-dev/pandas/issues/41630 | 899,042,988 | MDU6SXNzdWU4OTkwNDI5ODg= | 41,630 | BUG: pd.DataFrame.from_records raises key error 0 when multiprocessing a data frame over multiple cores | {
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- I have confirmed this bug exists on the latest version of pandas.
#### Code Sample, a copy-pastable example
```python
import multiprocessing
from functools import partial
import time
import pandas as pd
import numpy as np
from tqdm.a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41631 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41631/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41631/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41631/events | https://github.com/pandas-dev/pandas/issues/41631 | 899,047,281 | MDU6SXNzdWU4OTkwNDcyODE= | 41,631 | ENH: Allow vector in 'merge_asof' / 'right_on' parameter ('left_on' already accepts it) | {
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`left_on` and `right_on` parameters of [`merge_ordered`](https://pandas.pydata.org/docs/reference/api/pandas.merge_ordered.html) accept vectors of the same length than the DataFrame they relate to.
Although not stated in the documentation, `left_on` parameter of ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41632 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41632/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41632/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41632/events | https://github.com/pandas-dev/pandas/issues/41632 | 899,081,696 | MDU6SXNzdWU4OTkwODE2OTY= | 41,632 | CI: FutureWarning from string promotion on actions-38-numpydev | {
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"description": ... | open | false | null | [] | null | 2 | 2021-05-23T18:39:31Z | 2021-08-21T01:35:05Z | null | CONTRIBUTOR | null | - [x] I have checked that this issue has not already been reported.
- [] I have confirmed this bug exists on the latest master of pandas
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
CI seems to be failing in some tests. I did an update to a PR #41594 which ONLY had a doc c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41633 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41633/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41633/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41633/events | https://github.com/pandas-dev/pandas/issues/41633 | 899,083,532 | MDU6SXNzdWU4OTkwODM1MzI= | 41,633 | QST: errors='coerce' causing pd.to_datetime to row-wise change format guessing arbitrarily? | {
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I just stumbled across this problem, where I had a date field with some '--' values which needed to be coerced to NaT. Problem is that while using that, pd.to_datetime ended up using different date formats across the records, exchanging month with date apparently arbitrarily. I think I solved this by declaring t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41634 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41634/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41634/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41634/events | https://github.com/pandas-dev/pandas/issues/41634 | 899,084,387 | MDU6SXNzdWU4OTkwODQzODc= | 41,634 | ENH: Raise error on ascending='False' | {
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when sort_values ascending parameter is set to a string (df.sort_values(col_name, ascending='False') it does not error although it's meaningless, this could be quite confusing.
#### Describe the solution you'd like
Raise an error if ascending is equal to value... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41635 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41635/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41635/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41635/events | https://github.com/pandas-dev/pandas/pull/41635 | 899,092,147 | MDExOlB1bGxSZXF1ZXN0NjUwODQzNzEx | 41,635 | ENH: set render limits on `Styler` to automatically trim dataframes | {
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- [x] tests added / passed
Adds an option: `styler.max.elements` with a default value of 2**18 = 262144.
```
>>> pd.options.styler.max.elements = 2**18
>>> df = pd.DataFrame(np.random.rand(10000,100))
>>> %timeit df.style.render()
4.11 s ± 30.3 ms per loop (mean ± std... | {
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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/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41637 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41637/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41637/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41637/events | https://github.com/pandas-dev/pandas/pull/41637 | 899,111,990 | MDExOlB1bGxSZXF1ZXN0NjUwODU5MDA5 | 41,637 | CI: Unpin pip in py38 npdev | {
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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/41640 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41640/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41640/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41640/events | https://github.com/pandas-dev/pandas/issues/41640 | 899,623,091 | MDU6SXNzdWU4OTk2MjMwOTE= | 41,640 | BUG: Rounding not working | {
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df Value
0 0.45
1 0.95
df.Value.round(1) doesn't give the correct answer. It should be 0.5 and 1.0
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~~~python
my_series_in_kilometres = my_series_in_miles.convert_units(from="mi", to="km")
my_series_in_feet = my_ser... | {
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>>> pd.__version__
'1.3.0.dev0+1695.g55e58542db'
>>>
>>> s = pd.Series([0, 0])
>>> s
0 0
1 0
dtype: int64
>>>
>>> s2 = pd.Series([42])
>>> s2
0 42
dtype: int64
>>>
>>> s.loc[0] = s2
>>> s
0 42.0
1 0.0
dtype: float64
>>>
```
Does not need a release note, this issue is only... | {
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Hi @LukeTonin, how does this look?
let me know if this needs any changes!
Thanks
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While using the datetime library, when we extract month from a given datetime datatype. There should be a way to sort those values in ascending order.
tried:
1. sorted()
2. sort_values
Neither of them throws a error nor gives the desired output.
Although found a solution on [StackOverfl... | {
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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
```python
import pandas as pd
def sum_last(values, index, ... | {
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A lot of the audit trail for the features to get this to work are documented in the issue.
## For Reviewers
These are the key changes to note in **DataFrame.to_latex tests**
- The expected output remains as close as possible to the original, altering the arg input in `to_latex` to demonstrate ... | {
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- [x] acceptance of the `jinja2` requirement for LaTeX output, since `Styler` requires `jinja2`: this is blocker.
- [x] make Styler functional for all DataFrames (i.e. including non-unique columns, indexes) (#41269).
- [x] enhance for `lo... | {
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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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Update BS script tags in template
Replace jumbotron with utilities
Replace font-weight-bold with fw-bold
Replace ml-auto with ms-auto
Replace float-right with float-end
Replace data-target with data-bs-target
Replace data-toggle with data-bs-toggle
Add CSS rules for <a>
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This is basic addition that primarily points to the core method docs (which have detailed descriptions and examples)
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/2... | {
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after this...
can use pyarrow native functions
for expand case use _wrap_result and _str_map (without a perf impact) | {
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- [x] tests added / passed (1 test is modified)
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# What is new:
Now defaultdict can be provides as dtype.
The i... | {
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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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hopefully numpy will provide an alternative that makes this unnecessary | {
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- [x] I have asked my usage related question on [StackOverflow](https://stackoverflow.com).
[https://stackoverflow.com/questions/67693185/pandas-dataframe-agg-does-not-work-with-np-s... | {
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- [x] tests modofied
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Ok, so this is a doozy AND it's not done, but it can be merged as is.
What do we do:
We add ti... | {
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- [x] tests added / passed
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This test checks if a Series cast to object still shows data in float format.
Ran `pyte... | {
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... | open | false | null | [] | null | 2 | 2021-05-25T22:49:34Z | 2021-08-21T01:39:38Z | null | CONTRIBUTOR | null | - [x] I have checked that this issue has not already been reported.
- [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 / 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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- [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
tdf2 = pd.DataFrame([], co... | {
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Currently calculating the the windowing aggregation of several pandas objects requires concatenating them together and returning the entire result
```
pd.concat([df1, df2, df3, ...], axis=1).rolling(10).mean()
```
By holding the latest state of a windowing aggregation, it is possible to calculate... | {
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- [x] closes #16719
- [x] closes #16867
- [x] closes #17091
- [x] closes #17286
- [x] closes #18549
- [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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... | open | false | null | [] | null | 3 | 2021-05-26T09:39:27Z | 2021-08-21T01:43:40Z | null | NONE | null | #### Is your feature request related to a problem?
I often use Groupby combined with the "level" parameter, to create groups for particular subsets of my multi-indexed df.
Yet, Those levels are again included in the created groups. I then have to drop them "manually" at the level of each group (as I will not need t... | {
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* https://pandas.pydata.org/docs/reference/api/pandas.to_datetime.html
* https://pandas.pydata.org/docs/dev/reference/api/pandas.to_datetime.html?highlight=to_datetime
#### Documentation problem
The `to_datetime` method does something wildly different on strings or Series vs... | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/41678 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41678/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41678/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41678/events | https://github.com/pandas-dev/pandas/issues/41678 | 902,449,213 | MDU6SXNzdWU5MDI0NDkyMTM= | 41,678 | Drop support for Python 3.7 | {
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> On Dec 26, 2021 drop support for Python 3.7 (initially released on Jun 27, 2018)
The next release after 1.3 can be scheduled for 6 months, and we can drop 3.7 support in the next release.
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... | closed | false | null | [] | null | 5 | 2021-05-26T15:28:54Z | 2021-08-21T01:46:47Z | 2021-08-21T01:46:47Z | NONE | null | - [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pandas.
---
#### Code Sample, a copy-pastable example
```sh
#16 409.4 Installing 'psycopg2-binary'
#16 409.5 $ ['/usr/local/bin/pip', 'install', '--verbose', '--upgrade', '--re... | {
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... | open | false | null | [] | null | 2 | 2021-05-26T15:45:14Z | 2021-08-21T01:48:08Z | null | NONE | null | It works as expected when the dataframe w/ multi level column index have 5 or more columns. Like below.
```
arrays = [
["x", "x", "x", "x","x"],
["y", "y", "y", "y","y"],
["bar1", "bar2", "baz1", "baz2","bar3"],
["w", "w", "w", "w","w"],
["z", "z", "z", "z","z"],
]
tuples = list(zip(*a... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
---
#### Problem description
`openpyxl` has fairly high memory consumption by default. To address this for write-only operations, they recommend two things:
1. Ins... | {
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#### Code Sample, a copy-pastable example
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- [x] I have confirmed this bug exists on the latest version of pandas.
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---
I ran into this when testing dask against pandas nightly builds. https://github.co... | {
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- [Zoom link](https://nyu.zoom.us/j/98201283174?pwd=d0VoUy9GTDRlVVZ0cCtTK0s4NnlBZz09)
- [Agenda/notes](https://docs.google.com/document/d/1JoiqTdK6gi5W1QiTWrqtTV-rNmIqU3xROgHY5iT4J5g/edit#heading=h.pd2rym64bmch)
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---
#### Question about pandas
**Note**: If you'd still like to submit a question, p... | {
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- [ ] ~~closes #xxxx~~
- [ ] 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] 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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... | open | false | null | [] | null | 0 | 2021-05-27T18:41:45Z | 2021-11-16T19:57:42Z | null | CONTRIBUTOR | null | The tracker of items needed to do before deprecating `DataFrame.to_html()`.
### Blockers
- [x] Acceptance of the `jinja2` requirement for HTML output, since `Styler` requires `jinja2`.
- [x] Acceptance of removal/hard break of specific kwargs and all formatting keyword args (see below).
### Development
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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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```
ltc:
调度报障工单号
DD182103227 5
..
DD082104265 5
Name: 供电所, Length: 848, dtype: Int64
```
However, when using:
` ltc.idxmin()`
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Issue #41448 relates specifically to our openpyxl engine, and is resolved by this commit. ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41700 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41700/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41700/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41700/events | https://github.com/pandas-dev/pandas/issues/41700 | 905,503,328 | MDU6SXNzdWU5MDU1MDMzMjg= | 41,700 | BUG: 'ExponentialMovingWindow' object has no attribute 'apply' when using 'agg' | {
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```python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.normal(size=(100, 10)))
df.ewm(alpha=0.1).agg(lambda x: x)
```
Below the traceback
```python
---------------------------------------------------------------------------
AttributeError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41701 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41701/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41701/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41701/events | https://github.com/pandas-dev/pandas/pull/41701 | 905,512,953 | MDExOlB1bGxSZXF1ZXN0NjU2NTg2MzAy | 41,701 | REGR: fix DataFrame sum and prod with min_count and numeric_only | {
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it appears that the clean-up in #35899 to simplify _reduce may have been a bit premature, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41704 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41704/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41704/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41704/events | https://github.com/pandas-dev/pandas/issues/41704 | 905,620,478 | MDU6SXNzdWU5MDU2MjA0Nzg= | 41,704 | core.DataFrame(or Series).combine_first better doc string | {
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I'm suggesting adding this sentence after the above location to make the function name easier to understand:
The 'first' dataframe overrides the second one where both first.loc[index, col] and second.loc[... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41705 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41705/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41705/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41705/events | https://github.com/pandas-dev/pandas/pull/41705 | 905,658,707 | MDExOlB1bGxSZXF1ZXN0NjU2NzIxMDQ0 | 41,705 | REF: simplify _try_cast | {
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preliminary to de-duplicating some code in internals.construction | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41708 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41708/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41708/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41708/events | https://github.com/pandas-dev/pandas/pull/41708 | 905,833,144 | MDExOlB1bGxSZXF1ZXN0NjU2ODgzNTc0 | 41,708 | CLN: Removing unused Travis files for GBQ | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41709 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41709/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41709/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41709/events | https://github.com/pandas-dev/pandas/pull/41709 | 905,927,934 | MDExOlB1bGxSZXF1ZXN0NjU2OTcxOTQx | 41,709 | REF: avoid maybe_convert_platform | {
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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
After this it is exclusively used in core.construction and core.internals.construction | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41710 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41710/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41710/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41710/events | https://github.com/pandas-dev/pandas/issues/41710 | 906,155,160 | MDU6SXNzdWU5MDYxNTUxNjA= | 41,710 | BUG: Formatting issues with stderr output of read_csv() with warn_bad_lines=True | {
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... | 3 | 2021-05-28T22:29:58Z | 2021-05-29T19:36:48Z | null | CONTRIBUTOR | null | - [x] I have checked that this issue has not already been reported.
- [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
**badly-formatted.csv**
```csv
ln... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41711 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41711/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41711/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41711/events | https://github.com/pandas-dev/pandas/pull/41711 | 906,188,476 | MDExOlB1bGxSZXF1ZXN0NjU3MjE4MzI1 | 41,711 | REGR: DataFrame reduction with min_count | {
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"followers_url": "https://api.github.com... | 11 | 2021-05-28T23:02:15Z | 2021-06-10T07:19:12Z | 2021-06-01T14:54:44Z | MEMBER | null | - [ ] closes #41074
- [ ] 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
tests copied from #41701; i think this gets at the root problem cc @simonjayhawkins
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https://api.github.com/repos/pandas-dev/pandas/issues/41712 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41712/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41712/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41712/events | https://github.com/pandas-dev/pandas/pull/41712 | 906,291,514 | MDExOlB1bGxSZXF1ZXN0NjU3MzE0OTMw | 41,712 | TST: More old issues | {
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- [x] closes #22060
- [x] closes #22449
- [x] closes #22512
- [x] closes #22719
- [x] closes #23542
- [x] closes #26859
- [x] closes #28697
- [x] closes #28928
- [x] closes #29687
- [x] closes #30263
- [x] closes #29699
- [x] closes #31861
- [x] tests added / passed
- [x] Ensure all li... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41713 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41713/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41713/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41713/events | https://github.com/pandas-dev/pandas/pull/41713 | 906,335,160 | MDExOlB1bGxSZXF1ZXN0NjU3MzU1MDk3 | 41,713 | CI: suppress numpy FutureWarnings | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41714 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41714/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41714/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41714/events | https://github.com/pandas-dev/pandas/pull/41714 | 906,348,508 | MDExOlB1bGxSZXF1ZXN0NjU3MzY3MTMx | 41,714 | ENH: maybe_convert_objects corner cases | {
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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/41715 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41715/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41715/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41715/events | https://github.com/pandas-dev/pandas/issues/41715 | 906,389,190 | MDU6SXNzdWU5MDYzODkxOTA= | 41,715 | BUG: ImportError: Missing optional dependency 'openpyxl'. Use pip or conda to install openpyxl. | {
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```
dataDir = r'D:\\'
files = glob(os.path.join(dataDir, '*.xlsx'))
print(files)
if os.path.isfile(files[0]):
print('ok')
df = pd.read_excel(files[0], engine='openpyxl')
```
which prints:
`['D:\\\\file_index_all.xlsx', 'D:\\\\file_index_all2.xl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41716 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41716/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41716/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41716/events | https://github.com/pandas-dev/pandas/pull/41716 | 906,432,832 | MDExOlB1bGxSZXF1ZXN0NjU3NDM4NjAy | 41,716 | Fix inconsistent results for empty datasets describe | {
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https://api.github.com/repos/pandas-dev/pandas/issues/41717 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41717/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41717/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41717/events | https://github.com/pandas-dev/pandas/pull/41717 | 906,474,044 | MDExOlB1bGxSZXF1ZXN0NjU3NDcwMTA5 | 41,717 | CLN: Deprecate non-keyword arguments in read_table #41485 | {
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... | 4 | 2021-05-29T14:59:30Z | 2021-08-15T21:08:08Z | 2021-08-15T21:08:08Z | MEMBER | null | We keep leaving this comment to each other and to contributors in review, so let's add a rule for it
PR should be made to https://github.com/pandas-dev/pandas-dev-flaker if anyone wants to give this a go | {
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