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 ('a', 'b'): 1 dictionary to a dataframe
data = {'row_1': [3, 2, 1, 0], 'row_2': ['a', 'b', 'c', 'd']}
pd.DataFrame.from_dict(data, orient='index')
dataframe to dictionary
>>> df.to_dict('records')
[{'col1': 1, 'col2': 0.5}, {'col1': 2, 'col2': 0.75}]
convert pandas dataframe to dict with a column as key
df.set_index('columnName').T.to_dict()
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