dataframe to list
df.values.tolist()
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
List to Dataframe
# import pandas as pd
import pandas as pd
# list of strings
lst = ['fav', 'tutor', 'coding', 'skills']
# Calling DataFrame constructor on list
df = pd.DataFrame(lst)
print(df)
create a dataframe from lisdt of list
import pandas as pd
# initialize list of lists
data = [['Geeks', 10], ['for', 15], ['geeks', 20]]
# Create the pandas DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age'])
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