Answers for "python lists to dataframe"

from list of lists to dataframe

import pandas as pd

data = [['New York Yankees', 'Acevedo Juan', 900000, 'Pitcher'], 
        ['New York Yankees', 'Anderson Jason', 300000, 'Pitcher'], 
        ['New York Yankees', 'Clemens Roger', 10100000, 'Pitcher'], 
        ['New York Yankees', 'Contreras Jose', 5500000, 'Pitcher']]

df = pd.DataFrame.from_records(data)

how to make a pandas dataframe from 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

how to create a dataframe from two lists in python

# Python 3 to get list of tuples from two lists
data_tuples = list(zip(Month,Days))
data_tuples
[('Jan', 31), ('Apr', 30), ('Mar', 31), ('June', 30)]

>pd.DataFrame(data_tuples, columns=['Month','Day'])
 Month Day
0 Jan 31
1 Apr 30
2 Mar 31
3 June 30

pandas list to df

# import pandas as pd 
import pandas as pd 
  
# list of strings 
lst = ['Geeks', 'For', 'Geeks', 'is',  
            'portal', 'for', 'Geeks'] 
  
# Calling DataFrame constructor on list 
df = pd.DataFrame(lst) 
df

list of dataframe to dataframe

import pandas as pd
df = pd.concat(list_of_dataframes)
# easy way