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)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 30pandas 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)
dflist of df to df
import pandas as pd
df = pd.concat(list_of_dataframes)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 sureCopyright © 2021 Codeinu
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