Answers for "how to convert list to dataframe in python"

how to convert a list into a dataframe in python

from pandas import DataFrame

People_List = ['Jon','Mark','Maria','Jill','Jack']

df = DataFrame (People_List,columns=['First_Name'])
print (df)

dataframe to list

df.values.tolist()

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

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

convert list of lists to pandas dataframe

salary = [['Company', 'Job', 'Salary($)'],
          ['Google', 'Machine Learning Engineer', 121000],
          ['Google', 'Data Scientist', 109000],
          ['Google', 'Tech Lead', 129000],
          ['Facebook', 'Data Scientist', 103000]]
df = pd.DataFrame(salary[1:], columns=salary[0])

list of dataframe to dataframe

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