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Pandas axis param for pd.Panel doesn't work
2025-02-10 02:51:11
1286
Code Sample, a copy-pastable example if possibleimport numpy as npimport pandas as pda = pd.Panel({"A":{"...
Pandas Issue Opening Pre 0.12 Pickles Import Error
2025-02-10 02:51:06
5111
I am having an issue opening some old pickle files that I created a couple of years ago (July of 2014). These files were...
Pandas to_sql & cx_oracle
2025-02-10 02:51:01
1686
Hello,I am having the following error:('expecting string, unicode or buffer object',)expecting string, unicode or buffer...
Pandas Bug: resample options with TimedeltaIndex not working
2025-02-10 02:50:56
1847
Code Sample, a copy-pastable example if possibleimport pandas as pdindex = pd.timedelta_range('0', periods=4, freq='s')s...
Pandas read_csv() will throw a exception when csv file has str 'NaN'
2025-02-10 02:50:51
2599
Code Sample, a copy-pastable example if possibleimport pandas as pdfrom bokeh.charts import Bar, Linefrom bokeh.plotting...
Pandas ValueError from read_csv when in loop but not when called independently
2025-02-10 02:50:45
4239
Code Sample, a copy-pastable example if possibleGiven a directory with a large collection (> 1900) of files such as t...
Pandas TypeError when subtracting from empty index
2025-02-10 02:50:36
2181
Code Sample, a copy-pastable example if possibleWhile pd.DataFrame().index + 1 returns the unchanged index Index([], dty...
Pandas No error when mismatched vectors are assigned to pandas.DataFrame
2025-02-10 02:50:31
4652
Code Sample, a copy-pastable example if possible# toy datax = [0, 1, 1, 1, 2, 3, 4]y = pd.qcut(sorted(np.unique(x), reve...
Pandas read_fwf with passing converters and na_values at the same time
2025-02-10 02:50:26
3887
Duplicate of #13302When reading via read_fwf and passing both na_values and converters at the same time, na_value detect...
Pandas pd.groupby(pd.TimeGrouper('W')).groups returns Timestamps instead of Periods
2025-02-10 02:50:21
8002
Lets consider the following DataFrame:date_range = pd.date_range(dt(2010,1,1), dt(2010,1,31), freq='1D')df = pd.DataFram...
Pandas Why does it take so much time to retrieve one row?
2025-02-10 02:50:16
2488
# data.csv contains 10000*10 records which is depicted as follows:# 1,1,1,1,1,1,1,1,1,1# 2,2,2,2,2,2,2,2,2,2# ...# 1000...
Pandas Aggregate with pd.Series.nunique in datetime column has weird result
2025-02-10 02:50:11
2229
I have DataFrame:import pandas as pdimport datetime as datetimea = pd.DataFrame({'id': [1, 2, 3, 2], 'my_d...
Pandas i have a problem with installing some packages on my pycharm
2025-02-10 02:50:05
4127
###Problem descriptionHi.i have a problem with installing some packages on my pycharm.when i try to install a package ...
Pandas pivot_table: precision lost
2025-02-10 02:48:53
7154
Code Sample, a copy-pastable example if possibleIn [29]: df = pd.DataFrame([[1, 2, 11111111111111111]], columns=['index'...
Pandas read_html not considering thousands and decimal correctly
2025-02-10 02:48:48
1530
Code Sample, a copy-pastable example if possibledef baselink(): return 'http://www2.aneel.gov.br/aplicacoes/capacidad...
Pandas Unclear ValueError on core.groupby
2025-02-10 02:48:43
4534
Code Sample def test_groupby_aggregate_item_by_item(self): def test_df(): s = pd.DataFrame(np.array([[...
Pandas Bug : HDFStore is still locked after closing the file
2025-02-10 02:48:38
1097
Code Sample, a copy-pastable example if possibleAfter running this code : store.append(tablename, df_i, format=format, c...
Pandas Determine datetime_format from more than one element
2025-02-10 02:48:32
5481
Code Sample, a copy-pastable example if possibleimport pandas as pdseries_1 = pd.Series(['13/03/2000', '01/03/2000', '02...
Pandas weird Pandas version name after update with anaconda?
2025-02-10 02:48:26
1359
Hello there,Happy new year! Just updated my pandas package using anaconda (conda update --all) and pd.__version__ gives:...
Pandas name property changes unexpectedly after Series.append
2025-02-10 02:48:19
2205
Hi, I have tried Series.append but the name property changes unexpectedly.a = pd.Series(name='a')b = pd.Series(name='b')...
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