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pandas to pickle

# use pickle format to save columns with complex data (like list) 
# and keep their structure

>>> original_df = pd.DataFrame({"foo": range(5), "bar": range(5, 10)})
>>> original_df
   foo  bar
0    0    5
1    1    6
2    2    7
3    3    8
4    4    9
>>> original_df.to_pickle("./dummy.pkl") # use read_pickle to read the dataframe

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pandas to pickle

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