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Description:
apandasexcombinatoriciteratorstodf 0.10
Creates DataFrames from product, permutations, combinations, combinations_with_replacement with best dtype
# Tested with:
# Python 3.9.13
# Windows 10
pip install a-pandas-ex-combinatoric-iterators-to-df
from a_pandas_ex_combinatoric_iterators_to_df import pd_add_combinatoric_iterators_to_df
import pandas as pd
pd_add_combinatoric_iterators_to_df()
df1=pd.Q_product_to_df(iterable=list(range(256)), n=3)
df1
Out[3]:
0 1 2
0 0 0 0
1 0 0 1
2 0 0 2
3 0 0 3
4 0 0 4
... ... ...
16777211 255 255 251
16777212 255 255 252
16777213 255 255 253
16777214 255 255 254
16777215 255 255 255
[16777216 rows x 3 columns]
df1.dtypes
Out[4]:
0 uint8
1 uint8
2 uint8
dtype: object
df2=pd.Q_permutations_to_df(iterable=list(range(256)), n=3)
df2
Out[5]:
0 1 2
0 0 1 2
1 0 1 3
2 0 1 4
3 0 1 5
4 0 1 6
... ... ...
16581115 255 254 249
16581116 255 254 250
16581117 255 254 251
16581118 255 254 252
16581119 255 254 253
[16581120 rows x 3 columns]
df3=pd.Q_combinations_to_df(iterable=list(range(256)), n=3)
df3
Out[6]:
0 1 2
0 0 1 2
1 0 1 3
2 0 1 4
3 0 1 5
4 0 1 6
... ... ...
2763515 251 254 255
2763516 252 253 254
2763517 252 253 255
2763518 252 254 255
2763519 253 254 255
[2763520 rows x 3 columns]
df4=pd.Q_combinations_with_replacement_to_df(iterable=list(range(256)), n=3)
df4
Out[7]:
0 1 2
0 0 0 0
1 0 0 1
2 0 0 2
3 0 0 3
4 0 0 4
... ... ...
2829051 253 255 255
2829052 254 254 254
2829053 254 254 255
2829054 254 255 255
2829055 255 255 255
[2829056 rows x 3 columns]
"""
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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