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https://api.github.com/repos/pandas-dev/pandas/issues/29414 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29414/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29414/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29414/events | https://github.com/pandas-dev/pandas/issues/29414 | 517,893,297 | MDU6SXNzdWU1MTc4OTMyOTc= | 29,414 | ENH: Allow sorting of a dataframe on a boolean/function? | {
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For... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29415 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29415/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29415/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29415/events | https://github.com/pandas-dev/pandas/issues/29415 | 517,895,425 | MDU6SXNzdWU1MTc4OTU0MjU= | 29,415 | Add GroupBy.gmean() and GroupBy.gstd() | {
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Calculating the arithmetic mean and arithmetic standard deviation using `GroupBy` objects can e.g. be done like
```
df = pd.DataFrame(
columns=[0.0, 0.1, 0.2, 0.3, 0.4],
data=[[0, 1, np.nan, 1, 9],
[np.nan, np.nan, np.nan, np.nan, 9]]
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https://api.github.com/repos/pandas-dev/pandas/issues/29416 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29416/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29416/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29416/events | https://github.com/pandas-dev/pandas/pull/29416 | 517,927,753 | MDExOlB1bGxSZXF1ZXN0MzM2OTA0OTk2 | 29,416 | maybe_promote: Restrict fill_value to scalar for non-object dtype | {
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"color": "fbc... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-11-05T17:45:37Z | 2020-04-05T17:44:46Z | 2019-11-06T19:29:03Z | MEMBER | null | Partially reverts #29362 by allowing non-scalar fill_value for _object_ dtypes. i.e. in 0.25.3 `pd.Series(range(3), dtype=object).shift(1, fill_value={})` would work, #29362 broke that, and this restores it. Added `test_shift_object_non_scalar_fill` for this.
With the new restriction on `maybe_promote` in place, w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29417 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29417/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29417/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29417/events | https://github.com/pandas-dev/pandas/issues/29417 | 517,940,238 | MDU6SXNzdWU1MTc5NDAyMzg= | 29,417 | DataFrame shift along columns not respecting position when dtypes are mixed | {
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```python
import pandas as pd
df = pd.DataFrame(dict(
A=[1, 2], B=[3., 4.], C=['X', 'Y'],
D=[5., 6.], E=[7, 8], F=['W', 'Z']
))
df
df.shift(axis=1)
```
Outputs
```python
A B C D E F
0 1 3.0 X 5.0 7 W
1 2 4.0 Y 6.0 8 Z
A B C D E F
0 NaN... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29418 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29418/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29418/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29418/events | https://github.com/pandas-dev/pandas/issues/29418 | 517,965,976 | MDU6SXNzdWU1MTc5NjU5NzY= | 29,418 | ENH: Group By Grouping set /Cube/ Rollup | {
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... | 10 | 2019-11-05T19:00:35Z | 2021-07-22T06:02:21Z | null | NONE | null | #### Problem description
Basically these are performance tools in SQL to get analysis in multiple dimensions and they are missing in Pandas out of the box. Some of these can be achieved by a pivot table and melt/stack functions but being tools for analysis these functions should be a must and it also decreases the num... | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-11-05T19:46:33Z | 2019-11-06T18:19:32Z | 2019-11-06T18:11:04Z | MEMBER | null | diff_2d no longer needs to be in the pxi.in file, so moved it to the pyx
A couple of recently-identified bugs in the groupby code are caused by passing incorrect types, so im getting more motivated to add annotations in/around the affected code. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29420 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29420/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29420/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29420/events | https://github.com/pandas-dev/pandas/pull/29420 | 518,048,642 | MDExOlB1bGxSZXF1ZXN0MzM3MDA2Mzc2 | 29,420 | Correct type inference for UInt64Index during access | {
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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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The file is auto-generated, not something for us to worry about | {
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I find out the result gotten from pandas master is different from using a specific version recently
Also, minimum reproducible example:
```python
df = pd.DataFrame({"group": ['a', 'a', 'b', 'b'], "A": [0, 1, 2, 3], "B": [5, 6, 7, 8]})
df.columns = pd.MultiIndex.from_tuples([('x', 'group'), ('y... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29424 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29424/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29424/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29424/events | https://github.com/pandas-dev/pandas/pull/29424 | 518,112,950 | MDExOlB1bGxSZXF1ZXN0MzM3MDYzMDY1 | 29,424 | TST: consistent result in dropping NA from CSV | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29425 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29425/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29425/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29425/events | https://github.com/pandas-dev/pandas/pull/29425 | 518,179,057 | MDExOlB1bGxSZXF1ZXN0MzM3MTIxNjU0 | 29,425 | BUG: fix TypeErrors raised within _python_agg_general | {
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There are a few ways in which we incorrectly raise TypeError within _python_agg_general that this fixes.
A lot of the complexity in this code comes from the fact that we drop columns on which a function is invalid instead of requiring the user to subset columns. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29426 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29426/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29426/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29426/events | https://github.com/pandas-dev/pandas/issues/29426 | 518,188,868 | MDU6SXNzdWU1MTgxODg4Njg= | 29,426 | Converting ExtensionArrays to indices causes coersion to object | {
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```python
# pandas/core/indexes/base.py:342
# extension dtype
elif is_extension_array_dtype(data) or is_extension_array_dtype(dtype):
data = np.asarray(data)
if not (dtype is None or is_object_dtype(dtype)):
#... | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Stops catching DataError in the 1D case for _aggregate_multiple_funcs. This change is mostly unrelated, but shares the process of reasoning about what cases need _shallow_copy/DataError. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29428 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29428/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29428/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29428/events | https://github.com/pandas-dev/pandas/pull/29428 | 518,291,564 | MDExOlB1bGxSZXF1ZXN0MzM3MjEzMzEx | 29,428 | REF: Separate window bounds calculation from aggregation functions | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Pre-req for https://github.com/pandas-dev/pandas/issues/28987
Currently many of the aggregation functions in `window.pyx` follow the form:
```
def roll_func(values, window, minp, N, cl... | {
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- [ ] closes #xxxx (NOT THAT I KNOW)
- [ ] tests added / passed (NO CODE CHANGE)
- [ ] passes `black pandas` (NO CODE CHANGE)
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` (NO CODE CHANGE)
- [ ] whatsnew entry (NO CHANGE)
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
P.S
**Need code review** | {
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This was most likely due to inconsistent constraints between conda-forge & defaults.
Also, pinning to 3.7 for now until the 3.8 buildout is done to make the solver's life a bit easier. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29432 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29432/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29432/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29432/events | https://github.com/pandas-dev/pandas/issues/29432 | 518,581,406 | MDU6SXNzdWU1MTg1ODE0MDY= | 29,432 | CI: Numpydev failing | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-11-06T16:23:11Z | 2019-11-25T23:00:28Z | 2019-11-25T23:00:28Z | CONTRIBUTOR | null | I can reproduce with numpy master
```
==================================== ERRORS ====================================
__________ ERROR collecting pandas/tests/arrays/sparse/test_array.py ___________
pandas/tests/arrays/sparse/test_array.py:22: in <module>
class TestSparseArray:
pandas/tests/arrays/sparse/t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29433 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29433/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29433/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29433/events | https://github.com/pandas-dev/pandas/pull/29433 | 518,586,868 | MDExOlB1bGxSZXF1ZXN0MzM3NDU0Nzkz | 29,433 | CI: workaround numpydev bug | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-11-06T16:31:35Z | 2019-11-06T21:21:01Z | 2019-11-06T19:10:04Z | CONTRIBUTOR | null | We don't want this long-term. But there's no easy way
to skip this for numpydev, since it errors in setup.
xref #29432 (keep open till numpydev is fixed) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29435 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29435/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29435/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29435/events | https://github.com/pandas-dev/pandas/issues/29435 | 518,621,913 | MDU6SXNzdWU1MTg2MjE5MTM= | 29,435 | df.assign in for loop | {
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```python
list_of_columns = ["name", "weight"]
for column in list_of_columns:
if column in other_df.columns:
df = df.assign(column = other_df[column])
```
#### Problem description
df.assign creates a new column called "column" and then ov... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29436 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29436/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29436/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29436/events | https://github.com/pandas-dev/pandas/pull/29436 | 518,638,847 | MDExOlB1bGxSZXF1ZXN0MzM3NDk3NTc4 | 29,436 | CLN: core.computation, mostly typing | {
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Largely using annotations as an excuse to put eyeballs on parts of the code that would otherwise be left alone. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29437 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29437/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29437/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29437/events | https://github.com/pandas-dev/pandas/pull/29437 | 518,674,321 | MDExOlB1bGxSZXF1ZXN0MzM3NTI3MTAx | 29,437 | CLN: remove unnecessary check in MultiIndex | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29438 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29438/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29438/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29438/events | https://github.com/pandas-dev/pandas/pull/29438 | 518,688,014 | MDExOlB1bGxSZXF1ZXN0MzM3NTM4NDg5 | 29,438 | add unit tests for issue #19351 | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This is a unit test for an already fixed problem.
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https://api.github.com/repos/pandas-dev/pandas/issues/29439 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29439/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29439/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29439/events | https://github.com/pandas-dev/pandas/issues/29439 | 518,710,179 | MDU6SXNzdWU1MTg3MTAxNzk= | 29,439 | TST: make subdirs in pandas/tests/io/data | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29440 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29440/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29440/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29440/events | https://github.com/pandas-dev/pandas/issues/29440 | 518,711,115 | MDU6SXNzdWU1MTg3MTExMTU= | 29,440 | TST: group unstack / stack tests into new hierarchy | {
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... | 1 | 2019-11-06T20:19:38Z | 2021-07-22T06:02:44Z | null | CONTRIBUTOR | null | we have a mix of stack / unstack based tests in various places: pandas/tests/frame/test_reshape.py and pandas/tests/test_multilevel.py
would be nice to consolidate these into pandas/tests/reshape | {
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```python
sdf = SubclassedDataFrame2(my_data_as_dictionary)
sdf.added_property = 'hello pandas'
df = sdf.groupby('mycategorical')[['myfloat1', 'm... | {
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```
ERROR: Could not find a version that satisfies the requirement python==3.7 (from -r requirements-dev.txt (line 2)) (from versions: none)
ERROR: No matching distribution found for python==3.7 (from -r requirements-dev.txt (... | {
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- [X] closes #27451
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cc @MomIsBestFriend | {
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Fixed at the direction of @datapythonista
The only file touched is a markdown file.
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` | {
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... | open | false | null | [] | null | 2 | 2019-11-07T00:21:43Z | 2021-07-22T06:03:03Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import matplotlib.pyplot as plt
df = pd.DataFrame()
df['x'] = range(0,100,5)
df['y'] = range(0,1000,50)
df = df.set_index('x')
# line plot
df.plot.line()
plt.savefig('line')
# stepped line plot
df.plot.line(drawstyle=... | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
AFAICT this is strictly dominated by needs_i8_conversion | {
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```python
# Your code here
import numpy as np
# Pandas is useful to read in Excel-files.
import pandas as pd
# matplotlib.pyplot as plotting tool
import matplotlib.pyplot as plt
# import sympy for functions and monte-carlo analysis.
from sympy import *... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [x] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```
pandas/core/groupby/ops.py:791: error: Signature of "groupings" incompatible with supertype "BaseGrouper"
pandas/core/groupby/ops.py:872: error: Argument 1 of "_chop" is incompatible with supertype "DataSplitter"; s... | {
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xref #23179. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29459 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29459/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29459/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29459/events | https://github.com/pandas-dev/pandas/issues/29459 | 519,162,217 | MDU6SXNzdWU1MTkxNjIyMTc= | 29,459 | Title overlaps subplot | {
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... | open | false | null | [] | null | 3 | 2019-11-07T10:01:36Z | 2021-07-22T06:03:47Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
import matplotlib.pyplot as plt
from io import StringIO
csv_string = """x,y1,y2
0, 1, 1
1, 1, 2
2, 1, 3
3, 4, 2
4, 2, 4
5, 3, 3
"""
data = pd.read_csv(StringIO(csv_string))
dataframe = pd.DataFrame(data)
dataframe.plot(x="x",
y=["y1", "... | {
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```python
import pandas as pd
import matplotlib.pyplot as plt
from io import StringIO
csv_string = """x,y1,y2
0, 1, 1
1, 1, 2
2, 1, 3
3, 4, 2
4, 2, 4
5, 3, 3
"""
data = pd.read_csv(StringIO(csv_string))
dataframe = pd.DataFrame(data)
dataframe.plot(x="x",
y=["y1", "... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29461 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29461/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29461/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29461/events | https://github.com/pandas-dev/pandas/issues/29461 | 519,286,505 | MDU6SXNzdWU1MTkyODY1MDU= | 29,461 | Timestamp.strftime(): missing support for nanoseconds | {
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... | open | false | null | [] | null | 4 | 2019-11-07T14:04:55Z | 2020-11-03T20:28:04Z | null | CONTRIBUTOR | null | When parsing text into a `Timestamp` object we can specify a format string. Currently `%f` is documented with
> note that "%f" will parse all the way up to nanoseconds
See https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.to_datetime.html, in particular the description of the `format` parameter. T... | {
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... | open | false | null | [] | null | 2 | 2019-11-07T14:52:03Z | 2021-07-23T03:58:19Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
test_json = [{"_id": 'a', 'date': datetime.now()}, {"_id": 'b', 'date': datetime.now()}]
test_df = pd.DataFrame(test_json)
new_df = test_df.copy()
new_df["date"] = None
new_df.update(test_df)
print(test_df.head())
print(new_df.head())
```
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```python
import pandas as pd
df = pd.DataFrame({
'val': range(10),
'time': pd.date_range(start='2019-01-01', freq='1d', periods=10, tz='UTC')
})
# This works.
df.query('"2019-01-03 00:00:00+00" < time')
# This raises an exception.
df.set_ind... | {
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... | closed | false | null | [] | null | 5 | 2019-11-07T15:29:45Z | 2019-12-01T01:02:30Z | 2019-12-01T01:02:29Z | NONE | null | botocore has pinned dateutil to <=2.8.0, which conflicts with our dateutil here and leads to
```
ERROR: botocore 1.13.12 has requirement python-dateutil<2.8.1,>=2.1; python_version >= "2.7", but you'll have python-dateutil 2.8.1 which is incompatible.
```
See https://github.com/boto/botocore/commit/e87e7a745fd... | {
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Trying to install `requirements-dev.txt` fails with
```
ERROR: botocore 1.13.12 has requirement python-dateutil<2.8.1,>=2.1; python_version >= "2.7", but you'll have python-dateutil 2.8.1 which is incompatible.
```
because of https://github.com/boto/botocore/commit/e87e7a745fd972815... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29468 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29468/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29468/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29468/events | https://github.com/pandas-dev/pandas/issues/29468 | 519,435,581 | MDU6SXNzdWU1MTk0MzU1ODE= | 29,468 | DOC/ENH: Consider adding optional "Raises" section to the docstring style guide | {
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I do see the "Raises" section appear hear and there in the codebase, and wondered if it appeared in the right order(i.g "Returns" before "Parameters"), ... | {
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```
In [4]: mi_med = pd.MultiIndex.from_product(
...: [np.arange(1000), np.arange(10), list("A")], names=["one", "two", "three"]
...: )
In [5]: %timeit mi_med.get_loc((999, 9, "A"))
master --> 42.6 µs ± 411 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)
PR ... | {
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Also adds some typing. | {
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I'm thinking on giving it a try for the documentation build, and see if we can get an improvement on current CI problems:
- Too many steps from the PR page to the logs (#26895)
- Notify with a comment on the PR when ... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/29475 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29475/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29475/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29475/events | https://github.com/pandas-dev/pandas/pull/29475 | 519,631,607 | MDExOlB1bGxSZXF1ZXN0MzM4MzM2OTc3 | 29,475 | TYPES: __len__, is_all_dates, inferred_type | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29476 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29476/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29476/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29476/events | https://github.com/pandas-dev/pandas/issues/29476 | 519,632,853 | MDU6SXNzdWU1MTk2MzI4NTM= | 29,476 | Improve fname documentation for to_parquet | {
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... | 7 | 2019-11-08T03:10:04Z | 2020-05-30T16:32:52Z | 2020-05-30T16:32:52Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Should to_parquet without file behave the same way than to_json in which if no file is specified we return the buffer? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29477 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29477/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29477/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29477/events | https://github.com/pandas-dev/pandas/pull/29477 | 519,704,563 | MDExOlB1bGxSZXF1ZXN0MzM4NDA1OTEx | 29,477 | CLN: annotations in core.apply | {
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After this I plan to do a pass to make these classes much less stateful | {
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```python
# Your code here
import pandas as pd
from datetime import datetime
if __name__ == '__main__':
s = pd.Series([datetime.now()])
with pd.option_context('use_inf_as_na', True):
s.count()
```
#### Problem description
Previously ... | {
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```python
# Your code here
A = pd.DataFrame({'x': [['hoge', 'piyo'], ['fuga']], 'y': ['1', '2']})
B = pd.DataFrame({'x': [['hoge2', 'piyo2'], ['fuga2'], ['meta2']], 'y': ['1', '2', '3']})
A = A.append(B)
```
```
# >>> print(A)
x y
0 [hoge, piyo... | {
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I think we should discuss reverting #28173 and only use `TypeVar("FrameOrSeries", bound="NDFrame")` in `core.generic`. perhaps call it `_NDFrameT` to avoid confusion.
This PR is to show the changes required to keep mypy green if we wanted to revert.
It also reverts the change in #29458, see https://g... | {
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```python
df = pd.DataFrame(index=np.arange(10), columns=np.arange(5), dtype=float)
df =
0 1 2 3 4
0 NaN NaN NaN NaN NaN
1 NaN NaN NaN NaN NaN
2 NaN NaN NaN NaN NaN
3 NaN NaN NaN NaN NaN
4 NaN NaN NaN NaN NaN
5 NaN NaN NaN NaN NaN
6 NaN N... | {
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```python
import pandas as pd
print(pd.__version__)
df = pd.DataFrame({
't': [pd.Timestamp('2017-05-22 22:28:35.489689'),
pd.Timestamp('2017-05-22 22:28:36.086933'),
pd.Timestamp('2017-05-22 22:28:37.000001')]
})
print(df)
print()
mask = [True, True, True]
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This implements the `__from_arrow__` method for integer/string extension types, so roundtripping to arrow/parquet fully works. | {
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... | 2 | 2019-11-08T13:54:48Z | 2021-07-23T04:15:39Z | null | NONE | null | Hi,
Im having a problem using pandas.plot.hist with the bins argument set to 'auto'.
I'm on os x, with the following package versions installed:
pandas: '0.25.3'
numpy: '1.17.2'
matplotlib: '3.1.1'
This error happens if I'm in jupyterlab, notebook, python or ipython.
#### Here's what produces the error... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29485 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29485/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29485/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29485/events | https://github.com/pandas-dev/pandas/issues/29485 | 520,047,615 | MDU6SXNzdWU1MjAwNDc2MTU= | 29,485 | groupby.quantile() fails on Timedelta columns | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-11-08T14:33:54Z | 2020-10-31T18:57:02Z | 2020-10-31T18:57:02Z | NONE | null | #### Code Sample, groupby quantile example
```python
# groupby quantile example
import pandas as pd
print(f"Pandas {pd.__version__}")
df = pd.DataFrame({
'idx': [1, 1, 2],
'start_date': ['2019-10-02', '2019-10-04', '2019-10-05'],
'arrival_date': ['2019-11-02', '2019-10-14', '2019-10-15']})
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https://api.github.com/repos/pandas-dev/pandas/issues/29486 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29486/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29486/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29486/events | https://github.com/pandas-dev/pandas/issues/29486 | 520,103,482 | MDU6SXNzdWU1MjAxMDM0ODI= | 29,486 | Bump NumPy to 1.15 | {
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] | closed | false | null | [] | null | 2 | 2019-11-08T16:17:47Z | 2019-11-10T00:44:19Z | 2019-11-10T00:44:19Z | MEMBER | null | Follow up to #29212 we should bump Numpy to 1.15
**Optional**: we hit CI failures in the PR above on Python 3.6.0 related to Numpy. We bumped Python to 3.6.1 but if we bump numpy instead 3.6.0 might work, if we even care | {
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>>> pd.Series([True, np.float64(5)>0.2, np.nan]).sum()
1
>>> pd.Series([np.nan, np.float64(5)>0.2, True]).sum()
2
```
#### Problem description
The only thing different between the two cases above is the order of the arguments, which should not affect the result.
.mean() is also affected, and the s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29488 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29488/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29488/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29488/events | https://github.com/pandas-dev/pandas/issues/29488 | 520,119,891 | MDU6SXNzdWU1MjAxMTk4OTE= | 29,488 | Cannot convert string to Int64 | {
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pd.Series(['1']).astype(float).astype('Int64') # succeeds
pd.Series(['1']).astype('Int64') # fails with:
# TypeError: object cannot be converted to an IntegerDtype
```
#### Problem description
Unlike with the other numeric data types, It doesn't seem to be possible to parse a string as `Int64`. A d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29489 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29489/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29489/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29489/events | https://github.com/pandas-dev/pandas/issues/29489 | 520,126,362 | MDU6SXNzdWU1MjAxMjYzNjI= | 29,489 | DataFrame.plot docs broken | {
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0.25.0 docs:
https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.DataFrame.plot.html
0.24.2 docs:
https://pandas.pydata.org/pandas-docs/version/0.24.2/reference/api/pandas.DataFrame.plot.html | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29490 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29490/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29490/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29490/events | https://github.com/pandas-dev/pandas/pull/29490 | 520,128,388 | MDExOlB1bGxSZXF1ZXN0MzM4NzcwNTY0 | 29,490 | CLN: annotation in reshape.merge | {
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CC: @jreback | {
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I'll open a new issue for resolution of mypy errors per module, see https://gitter.im/pydata/pandas?at=5dc5cdf2091dd14a0e86103a and #28926 for process used for test modules.
cc @WillAyd @jbrockmendel | {
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- [x] tests added / passed
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Note: I tested the documentation locally and the links to assert_*_equals are working now. | {
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df[df['Delivery'].notnull()]['Delivery'].astype(int).to_clipboard(excel=True, sep=',',index=False)
```
#### Problem description
Works fine when I run the program in spyder or jupyter but after taking the build using Pyinstaller the the data from clipboard... | {
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This is an internal name change, so is ok from an API stability perspective
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/29511 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29511/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29511/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29511/events | https://github.com/pandas-dev/pandas/pull/29511 | 520,446,984 | MDExOlB1bGxSZXF1ZXN0MzM5MDM1ODM0 | 29,511 | API: Remove kwargs from GroupBy | {
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"followers_url": "https://api.github.com/users/wesm... | 9 | 2019-11-09T14:47:26Z | 2019-12-01T21:44:48Z | 2019-11-12T23:35:53Z | CONTRIBUTOR | null | Remove kwargs from ``_GroupBy`.__init__`` and adds an explicit ``mutated`` parameter name instead. Also makes related changes.
Avoiding kwargs when possible is better for typing ergonomics. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29512 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29512/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29512/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29512/events | https://github.com/pandas-dev/pandas/issues/29512 | 520,461,464 | MDU6SXNzdWU1MjA0NjE0NjQ= | 29,512 | DEPS: Minimum numpy version for pandas 1.0 | {
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I think that'd be nice to reduce our matrix of builds for the CI, other than that I'm not sure what advantages this will have in our code base.
Any ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29513 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29513/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29513/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29513/events | https://github.com/pandas-dev/pandas/pull/29513 | 520,465,820 | MDExOlB1bGxSZXF1ZXN0MzM5MDUyMDE2 | 29,513 | Make subdirs in tests/io/data | {
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"followers_url": "https://api.github.com/users/wesm... | 6 | 2019-11-09T16:03:36Z | 2019-12-25T20:36:12Z | 2019-11-13T16:58:08Z | CONTRIBUTOR | null | - [x] closes https://github.com/pandas-dev/pandas/issues/29439
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
A few of the "network" tests are failing locally as they require the data on master:
e.g
```
@tm.network
def test_spam_url(self):
url = ... | {
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