python - Pandas reformatting multiple columns into one. -


i have code generates pandas dataframe of dependencies:

input | output | script

i trying generate list of distinct values matrix new table 1 column.

nodes

i tried

nodes_list = pd.dataframe({nodes: [dependency['input'].values,                                    dependency['output'].values,                                    dependency['script'].values]})

but rather getting 3 columns merged 3 row dataframe values comma separated values inside? how can append 3 columns onto each other distinct values elegantly?

thanks

say dataframe like

in [295]: df out[295]:    input output script 0   aaa    bbb    ggg 1   ddd    hhh    ccc 2   eee    bbb    fff 3   aaa    bbb    kkk

you can flatten using ravel() , take unique values

in [296]: np.unique(df.values.ravel()) out[296]: array(['aaa', 'bbb', 'ccc', 'ddd', 'eee', 'fff', 'ggg', 'hhh', 'kkk'], dtype=object)

or using np.unique() directly on df gives same output

in [301]: np.unique(df) out[301]: array(['aaa', 'bbb', 'ccc', 'ddd', 'eee', 'fff', 'ggg', 'hhh', 'kkk'], dtype=object)

and, can create nodes_list with

in [297]: pd.dataframe({'nodes': np.unique(df)}) out[297]:   nodes 0   aaa 1   bbb 2   ccc 3   ddd 4   eee 5   fff 6   ggg 7   hhh 8   kkk

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