How to convert a DataFrame into a dictionary in Pandas?

To convert a Pandas DataFrame into a dictionary, we can use the to_dict() method. Let's take an example and see how it's done.

Steps

• Create two-dimensional, size-mutable, potentially heterogeneous tabular data, df.
• Print the input DataFrame, df.
• Convert the DataFrame into a dictionary using to_dict() method and print it.

Example

import pandas as pd

df = pd.DataFrame(
   {
      "x": [5, 2, 7, 0],
      "y": [4, 7, 5, 1],
      "z": [9, 3, 5, 1]
   }
)
print "Input DataFrame is:\n", df
print "Convert DataFrame into dictionary: \n", df.to_dict()

Output

Input DataFrame is:
   x  y  z
0  5  4  9
1  2  7  3
2  7  5  5
3  0  1  1

Convert DataFrame into dictionary:
{'x': {0: 5, 1: 2, 2: 7, 3: 0}, 'y': {0: 4, 1: 7, 2: 5, 3: 1},
'z': {0: 9, 1: 3, 2: 5, 3: 1}}