<\/span><\/h2>\n\n\n\nThe default orient parameter value is dict and it will convert dataframe into dictionary with index as keys and corresponding values. Even if you do not specify any orient value, still to_dict will use this option.<\/p>\n\n\n\n
Here is its syntax.<\/p>\n\n\n\n
dataframe.to_dict('dict')
OR
dataframe.to_dict()<\/pre>\n\n\n\nHere is an example to demonstrate its use.<\/p>\n\n\n\n
dt=df.to_dict()
print(dt)
## output
{'Name': {0: 'John', 1: 'Jane', 2: 'Jim', 3: 'Joe'}, 'Age': {0: 28, 1: 24, 2: 25, 3: 22}, 'City': {0: 'New York', 1: 'Paris', 2: 'Berlin', 3: 'London'}}<\/pre>\n\n\n\nThe above result is a nested dict. The outermost keys are the column names. The keys of inner dict are the indexes and the final values of these keys are the dataframe column values.<\/p>\n\n\n\n