how to make a pandas dataframe from lists

1import pandas as pd
2
3data = [['New York Yankees', 'Acevedo Juan', 900000, 'Pitcher'], 
4        ['New York Yankees', 'Anderson Jason', 300000, 'Pitcher'], 
5        ['New York Yankees', 'Clemens Roger', 10100000, 'Pitcher'], 
6        ['New York Yankees', 'Contreras Jose', 5500000, 'Pitcher']]
7
8df = pd.DataFrame.from_records(data)

1# Short answer:
2# The simplest approach is to make a dictionary from the lists and then
3# to convert the dictionary to a Pandas dataframe.
4
5# Example usage:
6import pandas as pd
7
8# Lists you want to convert to a Pandas dataframe
9months = ['Jan','Apr','Mar','June']
10days = [31, 30, 31, 30]
11
12# Make dictionary, keys will become dataframe column names
13intermediate_dictionary = {'Month':months, 'Day':days}
14
15# Convert dictionary to Pandas dataframe
16pandas_dataframe = pd.DataFrame(intermediate_dictionary)
17
18print(pandas_dataframe)
19	Month	Day
200	Jan		31
211	Apr		30
222	Mar		31
233	June	30

1# import pandas as pd 
2import pandas as pd 
3  
4# list of strings 
5lst = ['Geeks', 'For', 'Geeks', 'is',  
6            'portal', 'for', 'Geeks'] 
7  
8# Calling DataFrame constructor on list 
9df = pd.DataFrame(lst) 
10df 

1In [8]: data = pd.DataFrame({'x': x, 'sin(x)': y})
2In [9]: data
3Out[9]: 
4          x        sin(x)
50  0.000000  0.000000e+00
61  0.349066  3.420201e-01
72  0.698132  6.427876e-01
83  1.047198  8.660254e-01
94  1.396263  9.848078e-01
105  1.745329  9.848078e-01
116  2.094395  8.660254e-01
127  2.443461  6.427876e-01
138  2.792527  3.420201e-01
149  3.141593  1.224647e-16
15
16[10 rows x 2 columns]