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https://api.github.com/repos/pandas-dev/pandas/issues/22212 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22212/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22212/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22212/events | https://github.com/pandas-dev/pandas/issues/22212 | 347,849,109 | MDU6SXNzdWUzNDc4NDkxMDk= | 22,212 | unexpected behavior when using infer_object function | {
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] | open | false | null | [] | null | 4 | 2018-08-06T09:35:07Z | 2021-06-21T05:31:49Z | null | NONE | null | #### Code Sample
In the code sample below: column "A" consists entirely of numbers formatted as strings.
```python
df = pd.DataFrame({"A": ["1","2","3"]})
df.convert_objects(convert_numeric=True).dtypes
df.infer_objects().dtypes
```
#### Problem description
At present, I am using the convert_objects functio... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22213 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22213/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22213/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22213/events | https://github.com/pandas-dev/pandas/pull/22213 | 347,874,500 | MDExOlB1bGxSZXF1ZXN0MjA2MzYwODc4 | 22,213 | Fix Python2 test failures in certain locales | {
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"followers_url": "https://api.github... | 20 | 2018-08-06T10:52:14Z | 2018-09-10T11:02:03Z | 2018-08-13T01:14:36Z | CONTRIBUTOR | null | Check that we can also get the locale, after setting it, without raising an Exception.
- [x] closes #22129
- [x] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/22214 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22214/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22214/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22214/events | https://github.com/pandas-dev/pandas/pull/22214 | 347,881,986 | MDExOlB1bGxSZXF1ZXN0MjA2MzY2NjAz | 22,214 | DOC: Added 0.23.4 whatsnew [ci skip] | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22215/events | https://github.com/pandas-dev/pandas/issues/22215 | 347,923,728 | MDU6SXNzdWUzNDc5MjM3Mjg= | 22,215 | Should ExtensionArray.take accept scalar inputs? | {
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"followers_url": "https://api.github... | 3 | 2018-08-06T13:27:49Z | 2018-11-12T17:02:52Z | 2018-11-12T17:02:52Z | CONTRIBUTOR | null | ndarray.take accepts scalars, and returns a scalar. We should probably make that part of the interface, or document that we don't support it.
```python
In [18]: np.array([1, 2]).take(0)
Out[18]: 1
```
Categorical currently returns an invalid categorical:
```
In [19]: res = pd.Categorical([0, 1]).take(0)
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Currently, we seem to follow NumPy:
```python
In [19]: np.array([1, 2, np.nan]).astype('i8')
Out[19]: array([ 1, 2, -9223372036854775808])
In [20]: pd.Categorical([1, 2, None]).astype('i8')
Out[20]: array(... | {
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"followers_url": "https://api.github... | 19 | 2018-08-06T16:01:14Z | 2018-08-08T12:56:05Z | 2018-08-08T10:39:48Z | CONTRIBUTOR | null | Previously, the _new in version_ message seemed like a run-on sentence:
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.interpolate.html
Also added code formatting for `BPoly.from_derivatives` reference. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22219 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22219/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22219/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22219/events | https://github.com/pandas-dev/pandas/pull/22219 | 348,010,535 | MDExOlB1bGxSZXF1ZXN0MjA2NDYzMzg5 | 22,219 | [CLN] Merge inference into lib.pyx | {
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"followers_url": "https://api.github... | 3 | 2018-08-06T17:15:58Z | 2018-08-08T15:50:46Z | 2018-08-08T10:38:49Z | MEMBER | null | Continue trimming down _libs/src.
src/inference is a minor hassle, particularly because ATM there are imports/cimports in both it and lib. Its existence also complicates setup.py a bit.
Evidently parse_helper.h depended on the order in which it was included (I assume this is a code smell in C, but who knows). F... | {
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http://pandas.pydata.org/pandas-docs/stable/gotchas.html#support-for-integer-na
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"followers_url": "https://api.github... | 11 | 2018-08-06T17:26:20Z | 2018-08-13T17:00:56Z | 2018-08-09T00:29:45Z | NONE | null | #### Code Sample
```python
import pandas as pd
df = pd.DataFrame(dict(value=[0, 1], group=['filled','empty']))
groups = df.groupby('group')
def remove1 (group):
return group[group.value != 1]['value']
trimmed = groups.apply(remove1)
print("Trimmed.loc['empty']:\n",trimmed.loc['empty'])
```
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... | 2 | 2018-08-06T17:38:13Z | 2021-06-21T05:47:08Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
N = 100
df = pd.DataFrame(np.append(np.random.randn(N), np.random.randn(N)/10), columns = ['rand'])
df['group'] = [0]*N + [1]*N
df.groupby('group')['rand'].hist(bins=20, alpha=0.7)
```
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"followers_url": "https://api.github... | 2 | 2018-08-06T20:02:24Z | 2018-08-08T15:51:22Z | 2018-08-07T13:12:13Z | MEMBER | null | Fixes test that fails locally in py27 when run in a terminal window wider than 80 characters.
- [x] closes #21746
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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... | 14 | 2018-08-06T20:42:13Z | 2021-06-21T05:49:39Z | null | CONTRIBUTOR | null | We have a few extension arrays that build off one or more ndarrays. You'll often want to get the underlying NumPy dtype for that array.
* IntegerArray uses `.type`
* IntervalArray uses `.subtype`
IntervalArray can't use `.type`, since that has to be `Interval`. So IntegerArray will need to alias subtype to type.... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] examples for series.set_index
- [x] whatsnew entry
Following https://github.com/pandas-dev/pandas/issues/21684#issuecomment-401584844, I unified the method to `core/generic.py`. If this is ap... | {
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My thought here was to leverage the masking operations used by the Integer EAs to implement an easy Boolean EA on top of that. I've essentially copied over ... | {
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"description": "Functionality that used ... | closed | false | null | [] | {
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```python
# Your code here
pop = {'Nevada': {2001: 2.4, 2002: 2.9},
'Ohio': {2000: 1.5, 2001: 1.7, 2002: 3.6}}
pd.DataFrame(pop, index=[2001, 2002, 2003])
```
#### Problem description
Raises exception:
```
In [6]: pd.DataFrame(pop, index=[2001... | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Example code and result:
```python
%matplotlib inline
import numpy as np
import pandas as pd
def test_hist_bins_match():
# GH-22222
N = 100
bins = 5
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"followers_url": "https://api.github... | 22 | 2018-08-07T03:49:30Z | 2018-12-30T22:40:50Z | 2018-12-30T22:40:39Z | CONTRIBUTOR | null | This option changes DataFrame.to_records() dtype for string arrays
to 'Sx', where x is the length of the longest string, instead of 'O"
- [x] closes #18146
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/22230 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22230/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22230/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22230/events | https://github.com/pandas-dev/pandas/pull/22230 | 348,219,565 | MDExOlB1bGxSZXF1ZXN0MjA2NjE5MDMx | 22,230 | BUG: raise KeyError if MultiIndex.get_loc_level is asked unused label | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/22231 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22231/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22231/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22231/events | https://github.com/pandas-dev/pandas/issues/22231 | 348,281,047 | MDU6SXNzdWUzNDgyODEwNDc= | 22,231 | Consistent API for suffixes in merge / join | {
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```python
df1.merge(df2, suffixes=('left', 'right')
df1.join(df2, lsuffix='left', rsuffix='right')
```
I always have to look this up as I get it wrong every time! I do not have a strong preference for which to use, perhaps slightly prefer the me... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22232 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22232/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22232/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22232/events | https://github.com/pandas-dev/pandas/pull/22232 | 348,374,552 | MDExOlB1bGxSZXF1ZXN0MjA2NzM5NTE1 | 22,232 | BUG: Fix DataFrame construction regression | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22233/events | https://github.com/pandas-dev/pandas/pull/22233 | 348,394,572 | MDExOlB1bGxSZXF1ZXN0MjA2NzU0ODg3 | 22,233 | Added whatsnew for v0.23.5 | {
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```
if isinstance(tzdata, datetime.tzinfo):
tzinfo = tzdata
```
If this were ever hit it would raise an error because `datetime.tzinfo` refers to the tzinfo attached to a datetime object, _not_... | {
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"followers_url": "https://api.github... | 10 | 2018-08-07T22:11:28Z | 2018-08-10T17:21:04Z | 2018-08-10T07:55:29Z | MEMBER | null | Modernize for-loop syntax
Modernize string formatting
Use memoryviews in a few places
Docstrings, change a couple of funcs in tslibs.parsing to cdef
Follow-up cleanup in tslibs.period
Move some unneeded stuff out of tslibs.util to wrap up the self-contained goal.
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https://api.github.com/repos/pandas-dev/pandas/issues/22236 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22236/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22236/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22236/events | https://github.com/pandas-dev/pandas/pull/22236 | 348,512,531 | MDExOlB1bGxSZXF1ZXN0MjA2ODQ2Njcx | 22,236 | TST/CLN: break up & parametrize tests for df.set_index | {
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Since the diff is pretty busted, here's a description. In `tests/frame/test_alter_axes.py`, I did:
- externalised an often-used df as a fixture
- broke up `test_set_index2`... | {
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"followers_url": "https://api.github... | 3 | 2018-08-07T23:11:39Z | 2018-08-08T15:48:16Z | 2018-08-08T10:06:54Z | MEMBER | null | As suggested, these are split by dtype in a new tests/arithmetic directory.
Started parametrizing a few of these over `box` classes, but for the most part this is just collecting tests from their existing locations. There is going to be a lot of parametrization and de-duplication coming up.
Holding off on moving... | {
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] | closed | false | null | [] | null | 11 | 2018-08-07T23:32:05Z | 2019-01-31T14:01:41Z | 2019-01-31T14:01:41Z | MEMBER | null | First pass at #21839 and most likely a precursor to #22226.
Very hacky at the moment but was able to get tests to pass locally (will fail CI given new Bitarray depdencendy). Going to work through a refactor of this but sharing as POC in case anyone has feedback.
Generally the hard part here was working around pla... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22239/events | https://github.com/pandas-dev/pandas/issues/22239 | 348,529,354 | MDU6SXNzdWUzNDg1MjkzNTQ= | 22,239 | Add groupby(level=0) example to Documentation | {
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If the axis is a MultiIndex (hierarchical), group by a particular level or levels.
But I still don't understand, can anyone provide a sample to explain what (level =) actually does? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22240 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22240/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22240/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22240/events | https://github.com/pandas-dev/pandas/issues/22240 | 348,535,880 | MDU6SXNzdWUzNDg1MzU4ODA= | 22,240 | Groupby mean precision different than numpy | {
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] | closed | false | null | [] | null | 1 | 2018-08-08T00:50:01Z | 2018-08-08T02:08:16Z | 2018-08-08T02:08:16Z | NONE | null | ```python
import numpy as np
import pandas as pd
N = int(1e5)
x = np.random.rand(N)
n = np.random.rand(N)
x[n>0.9] = np.nan
df = pd.DataFrame()
df['value'] = x
df['group'] = 'a'
print(x.dtype)
print(df['value'].dtype)
print("numpy mean : %.20f" % np.mean(x))
print("numpy nanmean ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22241 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22241/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22241/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22241/events | https://github.com/pandas-dev/pandas/issues/22241 | 348,558,175 | MDU6SXNzdWUzNDg1NTgxNzU= | 22,241 | DOC: the document for DataFrameGroupby.hist is identical to that of DataFrame.hist | {
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... | 2 | 2018-08-08T03:05:28Z | 2021-06-21T05:50:53Z | null | CONTRIBUTOR | null | Here's the document for DataFrameGroupby.hist:
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.core.groupby.DataFrameGroupBy.hist.html
and here's an almost identical document for DataFrame.hist:
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.hist.html
I don't understand wh... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22242 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22242/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22242/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22242/events | https://github.com/pandas-dev/pandas/issues/22242 | 348,558,621 | MDU6SXNzdWUzNDg1NTg2MjE= | 22,242 | Problem in comparisons for DataFrame with pd.NaT | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 3 | 2018-08-08T03:08:12Z | 2018-08-14T10:49:12Z | 2018-08-14T10:49:12Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import datetime as dt
tmp = pd.DataFrame.from_records(data=[[dt.datetime(1999,12,31), pd.NaT], [pd.NaT, dt.datetime(1999,12,31)]])
print(tmp.iloc[0]==dt.datetime(1999,12,31))
print(tmp==dt.datetime(1999,12,31))
```
Output
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22243 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22243/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22243/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22243/events | https://github.com/pandas-dev/pandas/issues/22243 | 348,567,107 | MDU6SXNzdWUzNDg1NjcxMDc= | 22,243 | DataFrame.groupby()[col].transform() tries to convert result to original column type | {
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```python
df = pd.DataFrame({'a': [1], 'val': [1.35]})
# no groupby, result is 'object', correct behavior
print(df['val'].transform(lambda x: x.map('+{}'.format)).dtype)
# result can't be converted to float, result is 'object', correct behavior
print(df.grou... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22244 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22244/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22244/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22244/events | https://github.com/pandas-dev/pandas/pull/22244 | 348,667,573 | MDExOlB1bGxSZXF1ZXN0MjA2OTYyMTQ0 | 22,244 | Backport PR #22232 on branch 0.23.x | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Small followup to #22232
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] | closed | false | null | [] | null | 2 | 2018-08-08T13:56:11Z | 2018-09-06T16:21:26Z | 2018-09-06T16:21:26Z | CONTRIBUTOR | null | #### Problem description
`pandas.DataFrame.swaplevel()` is slow (I observed 15 seconds on a 100,000 column MultiIndex), when in principle it could simply swap labels, levels and names in almost no time (right?).
Now, I see that this operation returns a copy of the whole data, [which seems to explain the slowness]... | {
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```python
df = pd.DataFrame(
[
['A', np.nan, 1.23, 4.56],
['A', 'G', 1.23, 4.56],
['A', 'D', 9.87, 10.54],
],
columns=['pivot_0', 'pivot_1', 'col_1', 'col_2'],
)
df.set_index(['pivot_0', 'pivot_1'], inplace=True)
pivo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22249 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22249/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22249/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22249/events | https://github.com/pandas-dev/pandas/pull/22249 | 348,798,991 | MDExOlB1bGxSZXF1ZXN0MjA3MDY0NzI1 | 22,249 | DOC: Fix dateutil link in install instructions | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22250 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22250/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22250/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22250/events | https://github.com/pandas-dev/pandas/issues/22250 | 348,834,016 | MDU6SXNzdWUzNDg4MzQwMTY= | 22,250 | PERF: Apply on Series much slower than DataFrame when the function is related with scipy.stats.norm | {
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```
%%timeit
pd.Series([1.0]*1000).apply(lambda x: x**2)
771 µs ± 15.2 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
%%timeit
pd.DataFrame([1.0]*1000).apply(lambda x: x**2)
1.8 ms ± 15.1 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each... | {
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"followers_url": "https://api.github... | 4 | 2018-08-08T18:16:37Z | 2018-08-09T07:10:34Z | 2018-08-09T04:38:38Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/22252 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22252/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22252/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22252/events | https://github.com/pandas-dev/pandas/issues/22252 | 348,848,155 | MDU6SXNzdWUzNDg4NDgxNTU= | 22,252 | A future error warning and a problem with autoconversion of types | {
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```python
import pandas as pd
pd.DataFrame([ { 'a': 1, 'b': 2 } ]).append([ { 'a': 3 } ])
```
#### Problem description
**Problem 1.** The result is as expected (except for `2.0` instead of `2`, see Problem 2).
```
a b
0 1 2.0
0 3 NaN
``` ... | {
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"followers_url": "https://api.github.com/users/jre... | 1 | 2018-08-08T19:05:53Z | 2018-08-09T10:33:35Z | 2018-08-09T10:33:35Z | CONTRIBUTOR | null | - [x] closes #13223
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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"followers_url": "https://api.github... | 2 | 2018-08-08T22:32:26Z | 2018-08-09T15:57:45Z | 2018-08-09T10:31:38Z | MEMBER | null | Also move a bunch more dt64 and td64 tests that have been hiding. For the most part this doesn't do any of the parametrizing over box-classes; that and a bunch of de-duplication are for the next pass. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22255 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22255/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22255/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22255/events | https://github.com/pandas-dev/pandas/issues/22255 | 348,922,054 | MDU6SXNzdWUzNDg5MjIwNTQ= | 22,255 | Proposal: Allow operator overloading for custom classes to return custom objects | {
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```python
import numpy
import pandas
class Pipe:
def __init__(self, function):
self.function = function
def __ror__(self, other):
return self.function(other)
def __array_ufunc__(self, func, method, *args, **kwargs):
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#### Example
Consider we are reading the following data. Let's say its name is `pandas_read_csv_bug.csv`.
It is a simple timeseries data with time... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22257 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22257/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22257/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22257/events | https://github.com/pandas-dev/pandas/issues/22257 | 349,047,986 | MDU6SXNzdWUzNDkwNDc5ODY= | 22,257 | get_group(...) fails for groupby(...) based on a function | {
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... | 2 | 2018-08-09T09:27:04Z | 2020-05-11T01:02:26Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
"""
IMPORTANT: The issue happens with pandas==0.21.1 but does NOT happen with pandas==0.19
"""
# Define simple dataframe, from Pandas doc ;)
# http://pandas.pydata.org/pandas-docs/stable/groupby.html#groupby-sorting
df3 = pd.DataFrame({'X' : ['A',... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22259 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22259/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22259/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22259/events | https://github.com/pandas-dev/pandas/pull/22259 | 349,072,490 | MDExOlB1bGxSZXF1ZXN0MjA3MjcyNzEx | 22,259 | Backport PR #22169 on branch 0.23.x | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22260 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22260/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22260/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22260/events | https://github.com/pandas-dev/pandas/issues/22260 | 349,092,397 | MDU6SXNzdWUzNDkwOTIzOTc= | 22,260 | Allow to specify column names other than 'level_*' in reset_index() | {
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```python
# Instead of
new_df = old_df.reset_index()
new_df = new_df.rename({'level_0': 'my_name', 'level_1': 'my_other_name'})
# it should be possible to do
new_df = old_df.reset_index(index_cols = ['my_name', 'my_other_name'])
```
#### Problem descri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22261 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22261/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22261/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22261/events | https://github.com/pandas-dev/pandas/pull/22261 | 349,093,416 | MDExOlB1bGxSZXF1ZXN0MjA3Mjg5Mzc1 | 22,261 | Unable to pass additional arguments to resample().apply() | {
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"followers_url": "https://api.github... | 9 | 2018-08-09T11:48:09Z | 2018-08-22T12:24:32Z | 2018-08-22T12:24:24Z | CONTRIBUTOR | null | - [x] closes #14615
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
There is flake8 warning ^ but it is not related with my changes. | {
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Using 0.23.3
My goal: I have an enum with 2 values Client/Server and would like to make use of the categorical dtype for performance reasons.
```python
import pandas as pd
from enum import IntEnum, auto
# Your code here
class ConnectionRoles(IntEnum):... | {
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~~~python
>> import pandas
>> sql = "some_sql_statement"
>> engine="some_sqlalchemy_engine"
>> df = pandas.read_sql_query(sql, engine)
>> df.dtypes #Result contains several numpy.int64 objects, even on windows machines
~~~
On macs (and perhaps other unix systems), pandas.read_sql_que... | {
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"followers_url": "https://api.github... | 15 | 2018-08-09T18:14:53Z | 2018-09-04T23:11:55Z | 2018-08-31T10:25:40Z | CONTRIBUTOR | null | - [x] closes #21950
- [x] tests modified / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
As mentioned in #21950, my suggestion is to modify the allowed combinations (as of v0.23) as follows:
```
Type of "others" | action | comment
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```python
import pandas as pd
import concurrent.futures as futs
from pathlib import Path
paths = Path('data').rglob('*.csv')
with futs.ProcessPoolExecutor() as e:
futures = {e.submit(pd.read_csv, p, index_col='id'): p for p in paths}
done, _ = futs.wait(f)
for d in done:
r = f.r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22266 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22266/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22266/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22266/events | https://github.com/pandas-dev/pandas/pull/22266 | 349,260,415 | MDExOlB1bGxSZXF1ZXN0MjA3NDE5ODg2 | 22,266 | ENH: Add support for excluding the index from Parquet files (GH20768) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22267 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22267/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22267/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22267/events | https://github.com/pandas-dev/pandas/pull/22267 | 349,261,293 | MDExOlB1bGxSZXF1ZXN0MjA3NDIwNTgz | 22,267 | Continue Collecting Arithmetic Tests | {
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"followers_url": "https://api.github... | 4 | 2018-08-09T19:35:04Z | 2018-08-10T17:21:13Z | 2018-08-10T09:58:21Z | MEMBER | null | A small amount of cleanup/parametrization, but mostly moving tests ~unchanged.
A few tests in tests.frame.test_operators are moved to tests.frame.test_arithmetic.
In a bunch of cases I'm trying to not move things that will cause merge conflicts with #22163; will get those in an upcoming pass. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22268 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22268/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22268/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22268/events | https://github.com/pandas-dev/pandas/issues/22268 | 349,402,209 | MDU6SXNzdWUzNDk0MDIyMDk= | 22,268 | Rolling with win_type='triang' strange results | {
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```python
In [26]: df = pd.DataFrame({'B': [0, 1, 2, np.nan, 4]})
In [27]: df
Out[27]:
B
0 0.0
1 1.0
2 2.0
3 NaN
4 4.0
In [28]: df.rolling(2, win_type='triang').sum()
Out[28]:
B
0 NaN
1 0.5
2 1.5
3 NaN
4 NaN
In [29]: df.rolling(2, win_type='triang').mean... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22269 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22269/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22269/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22269/events | https://github.com/pandas-dev/pandas/pull/22269 | 349,464,438 | MDExOlB1bGxSZXF1ZXN0MjA3NTcyODE0 | 22,269 | Replace tar_csv.tar.gz with gzipped tar | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22270 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22270/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22270/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22270/events | https://github.com/pandas-dev/pandas/issues/22270 | 349,498,959 | MDU6SXNzdWUzNDk0OTg5NTk= | 22,270 | to_html w/ float_format="%.0f" renders 100.0 as 1 | {
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"followers_url": "https://api.github... | 3 | 2018-08-10T12:35:26Z | 2018-11-26T13:59:22Z | 2018-11-26T13:59:22Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
print(pd.DataFrame([100.0]).to_html(float_format='%.0f'))
```
#### Problem description
The above code will render a value of 1 instead of 100.
```html
<table border="1" class="dataframe">
...
<td>1</td>
...
</table... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22271 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22271/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22271/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22271/events | https://github.com/pandas-dev/pandas/issues/22271 | 349,595,272 | MDU6SXNzdWUzNDk1OTUyNzI= | 22,271 | Change Default to/read JSON Format to orient='table' | {
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"default": fa... | closed | false | null | [] | null | 0 | 2018-08-10T17:21:55Z | 2019-09-02T20:45:08Z | 2019-09-02T20:45:08Z | MEMBER | null | Assuming #21827 goes through I think it will make sense to change the default JSON format for reading/writing to `orient="table"` as it does the best job of preserving metadata. This would require a `FutureWarning` for the existing defaults ('index' for Series and 'columns' for DataFrame) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22272 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22272/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22272/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22272/events | https://github.com/pandas-dev/pandas/issues/22272 | 349,596,008 | MDU6SXNzdWUzNDk1OTYwMDg= | 22,272 | Add 'table' as Allowed `orient` Value in to_json Docs | {
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https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_json.html
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https://api.github.com/repos/pandas-dev/pandas/issues/22273 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22273/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22273/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22273/events | https://github.com/pandas-dev/pandas/pull/22273 | 349,617,963 | MDExOlB1bGxSZXF1ZXN0MjA3NjkxNzMy | 22,273 | Comments to understand code! | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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`offsets.Day` (`'D'`) is documented to represent calendar day; however, `Day` arithmetic and usage of the `'D'` offset alias (e.g. `df.resample('D')`, `timedelta_range(..., freq='D')`, etc.) currently respects absolute time (i.e. `Day` acts like `Timedelta(days=1)`). This usage ... | {
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... | 10 | 2018-08-10T22:31:34Z | 2021-06-21T06:08:09Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import decimal
df = pd.DataFrame({'a': [decimal.Decimal('4.56')]*6, 'b': range(3, 6)*2, 'c': range(6)})
print df.groupby('b')['a'].sum()
print df.groupby('b')['a', 'c'].sum()
print df.groupby('b').agg({'a': 'sum', 'c': 'sum'}... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22276 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22276/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22276/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22276/events | https://github.com/pandas-dev/pandas/issues/22276 | 349,678,382 | MDU6SXNzdWUzNDk2NzgzODI= | 22,276 | read.csv index_col argument accepts string, list-of-string | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-08-10T22:47:51Z | 2019-03-15T21:29:05Z | 2019-03-15T21:29:05Z | NONE | null | 1. `read.csv` index_col argument has been accepting either string or list-of-string for years, but the doc (as of 0.24 dev) has never been updated to reflect this. Current and suggested text at bottom.
1. All columns used in index_col get dropped as regular columns. The doc never explicitly says this and [it causes us... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22277 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22277/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22277/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22277/events | https://github.com/pandas-dev/pandas/pull/22277 | 349,692,659 | MDExOlB1bGxSZXF1ZXN0MjA3NzQ5Mjkx | 22,277 | Added table as Allowed `orient` Value in to_json Docs(#22272) | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/22278 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22278/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22278/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22278/events | https://github.com/pandas-dev/pandas/issues/22278 | 349,716,687 | MDU6SXNzdWUzNDk3MTY2ODc= | 22,278 | Are multiple callable/dict groupers allowed in groupby? | {
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The docs for ``DataFrame.groupby`` signature start with:
```
by : mapping, function, label, or list of labels
Used to determine the groups for the groupby.
```
... but the code assumes that lists of mappings or functions can also be passed, and this is also tested, although with lim... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22279 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22279/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22279/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22279/events | https://github.com/pandas-dev/pandas/pull/22279 | 349,721,242 | MDExOlB1bGxSZXF1ZXN0MjA3NzY3MzU0 | 22,279 | BUG: do not crash on a callable grouper returning tuples | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Notice I didn't have time to test which commit caused the regression. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22280 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22280/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22280/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22280/events | https://github.com/pandas-dev/pandas/pull/22280 | 349,732,790 | MDExOlB1bGxSZXF1ZXN0MjA3NzczOTYw | 22,280 | Add initial property-based tests using Hypothesis | {
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"followers_url": "https://api.github... | 27 | 2018-08-11T13:04:53Z | 2018-08-28T00:05:08Z | 2018-08-25T02:05:41Z | CONTRIBUTOR | null | This pull request has no features or bugfixes for Pandas itself (though it does have a whatsnew entry for contributors), but adds support for and actually adds a few tests using Hypothesis. The new section of the contributing guide below should explain what this means and why it's desirable. There are basically three... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22281 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22281/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22281/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22281/events | https://github.com/pandas-dev/pandas/issues/22281 | 349,736,103 | MDU6SXNzdWUzNDk3MzYxMDM= | 22,281 | pd.read_csv return wrong number of lines | {
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```python
# Your code here
import pandas as pd
df_name = pd.read_csv(r"D:\linux\W\NCBI\taxonamy\names.dmp",sep = "\t", header=None)
print(df_name.shape)
```
#### Problem description
We can download a file of the taxonomy from NCBI (https://ftp.ncbi.nlm.n... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22282 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22282/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22282/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22282/events | https://github.com/pandas-dev/pandas/pull/22282 | 349,745,472 | MDExOlB1bGxSZXF1ZXN0MjA3NzgxNTE4 | 22,282 | BUG: Swap byteorder in constructor of Block Manager (#4737) | {
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- [x] tests added / passed (at least the test_internals.py)
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This is one possible approach to directly change the dtypes to the native byteorder in the constructor of the BlockManager. This code does it aut... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22283 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22283/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22283/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22283/events | https://github.com/pandas-dev/pandas/pull/22283 | 349,746,449 | MDExOlB1bGxSZXF1ZXN0MjA3NzgyMTI2 | 22,283 | [CLN] More cython cleanups, with bonus type annotations | {
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Removed remaining `# cython: profile=False` comments
The main (and possible controversial) thing done here is changing some functions to use type-hint syntax. The affected functions are all currently `cpdef`, but are never used in cython, so _should_ only be `de... | {
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"followers_url": "https://api.github... | 5 | 2018-08-11T18:58:40Z | 2018-09-08T03:11:27Z | 2018-09-08T02:42:47Z | MEMBER | null | Also avoid copy/cast in mixed-dtype case for `_combine_match_index`
Lets us use `dispatch_to_series` and get rid of `DataFrame._compare_frame`.
```
asv continuous -f 1.1 -E virtualenv master HEAD -b binary_ops
[...]
before after ratio
[03707400] [0cf9fa00]
- 105.09ms 94.39ms 0.90 bi... | {
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"id": ... | closed | false | null | [] | null | 5 | 2018-08-11T19:49:08Z | 2019-09-19T17:15:47Z | 2019-09-19T17:15:47Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
%matplotlib inline
import numpy as np
import pandas as pd
N = 100
np.random.seed(0)
df = pd.DataFrame(np.append(np.random.randn(N), np.random.randn(N) / 10),
columns=['rand'])
df['group'] = [0] * N + [1] * N
df.groupby('group')... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22286 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22286/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22286/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22286/events | https://github.com/pandas-dev/pandas/pull/22286 | 349,769,340 | MDExOlB1bGxSZXF1ZXN0MjA3Nzk1OTUw | 22,286 | ENH: add inplace-kwarg to df.update | {
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"de... | closed | false | null | [] | null | 29 | 2018-08-11T22:47:43Z | 2018-12-03T06:56:15Z | 2018-12-03T01:59:21Z | CONTRIBUTOR | null | - [x] closes #21858
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
There wasn't a lot of discussion yet in #21858, so I thought I'd speed things up with a PR. So far:
* @gfyoung @toobaz (in https://github.com/pandas-dev/pandas/issues/21855#iss... | {
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"color": "207de5... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 5 | 2018-08-11T22:49:06Z | 2018-08-24T04:07:19Z | 2018-08-20T11:13:10Z | MEMBER | null | cpdef --> cdef in a few cases
modernize string formatting
modernize for loop syntax
Should be orthogonal to other outstanding PR(s) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Adds `CalendarDay` and `'CD'` offset and alias respectively and changes `Day` (`'D'`) in `date_range` to respect calendar day.
With regards to `CalendarDay` added tests for:... | {
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-Remove unused param "op" in `_validate_for_numeric_unaryop`. ( Param remove from single call of function)
-Static method `_from_element` appears to be unused
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"followers_url": "https://api.github... | 3 | 2018-08-12T01:11:19Z | 2018-08-20T11:18:11Z | 2018-08-20T11:18:11Z | MEMBER | null | #### Code Sample/Problem Description
Currently `ExtensionBlock.is_numeric` always returns `False`. This can be problematic for extension arrays that are numeric, as this is used under the hood in places to filter to numeric columns in a `DataFrame`. I'll be using `IntegerArray` as an example, but this in principle... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22291 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22291/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22291/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22291/events | https://github.com/pandas-dev/pandas/issues/22291 | 349,799,348 | MDU6SXNzdWUzNDk3OTkzNDg= | 22,291 | I am looking for simulation of KNN algorithm for temperature in python or in MATLAB . IF any one can provide me the code than that will be great. cheers. please mail me if you find anything :sonupival6@gmail.com | {
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```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl... | {
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#### This is part of the function that generates the warning
```
data = urllib.request.urlopen(dataLink)
data = data.read().decode("utf-8")
data = json.loads(data)
data = data["btc_usd"]
data = pd.DataFrame(data)
buys = data[(data['type']=="bid")]
buys... | {
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- [ ] 1 test added for &, | and ^ logical operator of series
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/22294 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22294/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22294/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22294/events | https://github.com/pandas-dev/pandas/pull/22294 | 349,825,811 | MDExOlB1bGxSZXF1ZXN0MjA3ODI5Mzcw | 22,294 | TST: Add test of DataFrame.xs() with duplicates (#13719) | {
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"followers_url": "https://api.github... | 4 | 2018-08-12T16:35:54Z | 2018-09-15T15:42:02Z | 2018-09-15T12:37:25Z | CONTRIBUTOR | null | Added tests of DataFrame.xs() method for multilevel index containing duplicates. The underlying bug reported in #13719 was fixed previously, but was not covered by specific unit tests.
- [ ] closes #13719
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsn... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22295 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22295/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22295/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22295/events | https://github.com/pandas-dev/pandas/issues/22295 | 349,837,801 | MDU6SXNzdWUzNDk4Mzc4MDE= | 22,295 | Don't mangle pd.NaT and np.nan in dp.unqiue() | {
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"followers_url": "https://api.github... | 0 | 2018-08-12T19:32:29Z | 2018-09-18T12:51:16Z | 2018-09-18T12:51:16Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
pd.unique([np.nan, pd.NaT]) # returns [nan]
```
#### Problem description
This result is a little bit inconsistent, because:
```
import pandas.core.algorithms as algos
algos.isin([np.nan], [pd.NaT])
```
returns False,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22296 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22296/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22296/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22296/events | https://github.com/pandas-dev/pandas/pull/22296 | 349,840,210 | MDExOlB1bGxSZXF1ZXN0MjA3ODM4MTMy | 22,296 | BUG: don't mangle NaN-float-values and pd.NaT (GH 22295) | {
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"followers_url": "https://api.github... | 13 | 2018-08-12T20:10:14Z | 2018-09-19T11:00:36Z | 2018-09-18T12:51:16Z | CONTRIBUTOR | null | it is more or less the clean-up after PR #21904 and PR #22207, the underlying hash-map handles all cases correctly out-of-the box and thus no special handling is needed.
As a collateral, the mangling of NaNs and NaT is fixed.
- [x] closes #22295
- [x] closes #22332
- [x] tests added / passed
- [x] passes `git... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22297 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22297/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22297/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22297/events | https://github.com/pandas-dev/pandas/issues/22297 | 349,840,933 | MDU6SXNzdWUzNDk4NDA5MzM= | 22,297 | dep_root not available | {
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```python
# Your code here
```
**dep_root module**
Im following a tutorial and have downloaded the pandas module, but are getting this error displayed in the python console.
_C:\server\Python37\python.exe "C:/server/Python37/PyCharm-workspace/PokerPart... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22298 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22298/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22298/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22298/events | https://github.com/pandas-dev/pandas/pull/22298 | 349,854,472 | MDExOlB1bGxSZXF1ZXN0MjA3ODQ3MTIx | 22,298 | Use a more helpful error message for invalid correlation methods in DataFrame.corr | {
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"followers_url": "https://api.github... | 8 | 2018-08-12T23:53:02Z | 2018-08-18T19:53:34Z | 2018-08-18T19:48:01Z | MEMBER | null | `DataFrame.corr` currently returns a `KeyError` for invalid correlation methods. The proposed change would instead return a `ValueError` with an error message reminding the user of the valid correlation methods.
```
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.normal(size=(10, 3)))
df.co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22299 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22299/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22299/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22299/events | https://github.com/pandas-dev/pandas/issues/22299 | 349,862,863 | MDU6SXNzdWUzNDk4NjI4NjM= | 22,299 | KeyError after merging dataframes with columns renamed from the same name | {
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#### Code Sample, a copy-pastable example if possible
```python
keywords = keywords.rename(columns={'id':'keywordId'}
campaigns = campaigns.rename(columns={'id':'campaignId'}
combined = keywords.merge(campains, left_on='keywordFull', right_on='keyword', how=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22300 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22300/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22300/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22300/events | https://github.com/pandas-dev/pandas/issues/22300 | 349,865,535 | MDU6SXNzdWUzNDk4NjU1MzU= | 22,300 | DataFrame.corrwith doesn't warn user about potentially bad alignment | {
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"description": "I... | closed | false | null | [] | null | 1 | 2018-08-13T01:59:51Z | 2018-08-17T01:11:39Z | 2018-08-17T01:11:39Z | MEMBER | null | #### Code Sample
```python
import numpy as np
import pandas as pd
np.random.seed(2357)
df = pd.DataFrame(np.random.normal(size=(100, 3)))
s = pd.Series(np.random.randn(50))
df.corrwith(s)
```
#### Problem description
It might be desirable to have `corrwith` return a warning in situations like the ab... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22301 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22301/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22301/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22301/events | https://github.com/pandas-dev/pandas/pull/22301 | 349,894,835 | MDExOlB1bGxSZXF1ZXN0MjA3ODc1MTcx | 22,301 | DOC fix parenthesis placement in style docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22302/events | https://github.com/pandas-dev/pandas/issues/22302 | 349,896,789 | MDU6SXNzdWUzNDk4OTY3ODk= | 22,302 | .head() method for Styler | {
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#### Problem description
Currently it is convenient to experiment with adding styling to a DataFrame in Jupyter. But if the DataFrame is large, rendering time is slow.
`Styler.head()` would be very useful to just display a fraction of the DataFrame.
#### Expected Output
Styler.head(n) would display the fi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22303 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22303/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22303/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22303/events | https://github.com/pandas-dev/pandas/issues/22303 | 349,908,851 | MDU6SXNzdWUzNDk5MDg4NTE= | 22,303 | Please make DatatimeIndex slicing behave as int slicing . | {
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```python
In [15]: index = pd.date_range(start='2018-01-01', end='2018-01-05', freq='H')
In [16]: df = pd.DataFrame({'s':1} , index=index)
In [17]: df['2018-01-04': '2018-01-05']
Out[17]:
s
2018-01-04 00:00:00 1
2018-01-04 01:00:00 1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22304/events | https://github.com/pandas-dev/pandas/pull/22304 | 349,916,002 | MDExOlB1bGxSZXF1ZXN0MjA3ODkwODc3 | 22,304 | ENH: add quantile method to resample | {
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"followers_url": "https://api.github... | 5 | 2018-08-13T07:28:02Z | 2018-08-22T12:27:10Z | 2018-08-22T12:27:04Z | CONTRIBUTOR | null | - [x] closes #15023
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/22305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22305/events | https://github.com/pandas-dev/pandas/issues/22305 | 349,932,298 | MDU6SXNzdWUzNDk5MzIyOTg= | 22,305 | pd.to_datetime() throws if caching is on with Null-like arguments | {
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```python
import pandas as pd
result = pd.to_datetime([pd.NaT, None], cache=True)
```
#### Problem description
It results in error:
> ...
> ~/anaconda3/lib/python3.6/site-packages/pandas/core/indexes/base.py in get_indexer(self, target, method, limit, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22306/events | https://github.com/pandas-dev/pandas/issues/22306 | 349,958,700 | MDU6SXNzdWUzNDk5NTg3MDA= | 22,306 | Fatal Python error: GC object already tracked : Linux Centos | {
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] | closed | false | null | [] | null | 3 | 2018-08-13T09:44:43Z | 2018-08-14T03:28:39Z | 2018-08-14T03:28:39Z | NONE | null | #### Code Sample
```
def parallel_lookup_data_frame(args):
return ProcessDataByBatch(*args)
def ProcessDataByBatch(data,lookupdataset):
for index,row in lookupdataset.iterrows():
print("something as data won't matter ")
def writeframes(lookupdata):
chunks = pd.read_json(filenames... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22307/events | https://github.com/pandas-dev/pandas/pull/22307 | 349,962,929 | MDExOlB1bGxSZXF1ZXN0MjA3OTI1ODEw | 22,307 | DOC: fixes to DataFrame.plot.area docstring | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22308 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22308/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22308/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22308/events | https://github.com/pandas-dev/pandas/pull/22308 | 349,965,608 | MDExOlB1bGxSZXF1ZXN0MjA3OTI3ODky | 22,308 | BUG: Fix float formatting when a string is passed as float_format arg | {
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"followers_url": "https://api.github... | 10 | 2018-08-13T10:05:39Z | 2018-11-26T14:21:49Z | 2018-11-26T13:59:23Z | CONTRIBUTOR | null | closes #21625
closes #22270.
If a string `float_format` argument is passed by the user to `to_string`, `to_latex`, `to_html`, etc, then disable fixed width, so that now e.g.
```python
df.to_string(float_format='%.3f')
```
will give the same result as
```python
df.to_string(float_format=lambda x: '%.3f' % x)
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https://api.github.com/repos/pandas-dev/pandas/issues/22309 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22309/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22309/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22309/events | https://github.com/pandas-dev/pandas/issues/22309 | 349,978,978 | MDU6SXNzdWUzNDk5Nzg5Nzg= | 22,309 | BLD: wheels for 3.6 failing | {
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"followers_url": "https://api.github... | 3 | 2018-08-13T10:48:46Z | 2018-08-13T12:36:35Z | 2018-08-13T12:36:34Z | CONTRIBUTOR | null | https://travis-ci.org/MacPython/pandas-wheels/jobs/415273186
looks like a test that is in a loop | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22310 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22310/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22310/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22310/events | https://github.com/pandas-dev/pandas/pull/22310 | 350,007,953 | MDExOlB1bGxSZXF1ZXN0MjA3OTYwNzUx | 22,310 | DOC/DEPR: clarify argmin/argmax deprecation message | {
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"followers_url": "https://api.github... | 1 | 2018-08-13T12:26:08Z | 2018-08-14T08:45:43Z | 2018-08-13T16:33:45Z | MEMBER | null | Attempt to better phrase the message, xref https://github.com/pandas-dev/pandas/issues/16830#issuecomment-412211029 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22311/events | https://github.com/pandas-dev/pandas/issues/22311 | 350,012,772 | MDU6SXNzdWUzNTAwMTI3NzI= | 22,311 | pd.Timestamp(timestamp) looses freq | {
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"description": "DateOffse... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 2 | 2018-08-13T12:40:49Z | 2018-11-07T14:05:46Z | 2018-11-07T14:05:46Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: print(pd.Timestamp(pd.Timestamp('2010-08-08', freq='D')).freq)
None
```
#### Problem description
I expect a timestamp initialized from a timestamp to keep its properties. And indeeed:
```
In [3]: print(pd.Timestamp(pd.Timestamp('2010-... | {
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