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)
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)
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
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
how to convert a list to dataframe in python
import pandas as pd
from pandas import DataFrame
df = DataFrame(lst,columns=['num'])
convert list to dataframe
L = ['Thanks You', 'Its fine no problem', 'Are you sure']
#create new df
df = pd.DataFrame({'col':L})
print (df)
col
0 Thanks You
1 Its fine no problem
2 Are you sure
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