pandas dataframe from dict
data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
pd.DataFrame.from_dict(data)
pandas dataframe from dict
data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
pd.DataFrame.from_dict(data)
convert pandas dataframe/ table to python dictionary
df.to_dict(orient='index')
convert pandas dataframe to dict with a column as key
df.set_index('columnName').T.to_dict()
create a dataframe from dict
create a dataframe from dict (function)
import pandas as pd
def create_df():
data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
return pd.DataFrame.from_dict(data)
create_df()
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