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)python how to Create Pandas Dataframe from Multiple 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)
dfpandas create dataframe from list of lists
# Import pandas library
import pandas as pd
# initialize list of lists
data = [['tom', 10], ['nick', 15], ['juli', 14]]
# Create the pandas DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age'])
# print dataframe.
dflist from dataframe python
col_one_list = df['one'].tolist()
col_one_arr = df['one'].to_numpy()Copyright © 2021 Codeinu
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