how to create pandas dataframe from lists of columns code example

Example 1: python how to Create Pandas Dataframe from Multiple Lists

# Short answer:
# The simplest approach is to make a dictionary from the lists and then
# to convert the dictionary to a Pandas dataframe.

# Example usage:
import pandas as pd

# Lists you want to convert to a Pandas dataframe
months = ['Jan','Apr','Mar','June']
days = [31, 30, 31, 30]

# Make dictionary, keys will become dataframe column names
intermediate_dictionary = {'Month':months, 'Day':days}

# Convert dictionary to Pandas dataframe
pandas_dataframe = pd.DataFrame(intermediate_dictionary)

print(pandas_dataframe)
	Month	Day
0	Jan		31
1	Apr		30
2	Mar		31
3	June	30

Example 2: pandas dataframe lists as columns

In [8]: data = pd.DataFrame({'x': x, 'sin(x)': y})
In [9]: data
Out[9]: 
          x        sin(x)
0  0.000000  0.000000e+00
1  0.349066  3.420201e-01
2  0.698132  6.427876e-01
3  1.047198  8.660254e-01
4  1.396263  9.848078e-01
5  1.745329  9.848078e-01
6  2.094395  8.660254e-01
7  2.443461  6.427876e-01
8  2.792527  3.420201e-01
9  3.141593  1.224647e-16

[10 rows x 2 columns]