tolist() to get a list using the pandas dataframe

Pandas

We can create one list from DataFrame

import pandas as pd 
my_dict={'NAME':['Ravi','Raju','Alex','Ron','King','Jack'],
         'ID':[1,2,3,4,5,6],
         'MATH':[80,40,70,70,60,30],
         'ENGLISH':[80,70,40,50,60,30]}
df = pd.DataFrame(data=my_dict) # dataframe 
my_list=df.values.tolist() # creates a list 
print(type(my_list)) # <class 'list'>

This will hold all our dataframe data ( but without column names )

print(my_list)

Output

[['Ravi', 1, 80, 80], ['Raju', 2, 40, 70], 
['Alex', 3, 70, 40], ['Ron', 4, 70, 50], 
['King', 5, 60, 60], ['Jack', 6, 30, 30]]

Adding column names to the list.

We used list insert method to add the column names.

import pandas as pd 
my_dict={'NAME':['Ravi','Raju','Alex','Ron','King','Jack'],
         'ID':[1,2,3,4,5,6],
         'MATH':[80,40,70,70,60,30],
         'ENGLISH':[80,70,40,50,60,30]}
df = pd.DataFrame(data=my_dict) # dataframe 
my_list=df.values.tolist() # creates a list 
my_list.insert(0,df.columns) # adding column names to list
print(my_list)

Output

[Index(['NAME', 'ID', 'MATH', 'ENGLISH'], dtype='object'), 
['Ravi', 1, 80, 80], ['Raju', 2, 40, 70], 
['Alex', 3, 70, 40], ['Ron', 4, 70, 50], 
['King', 5, 60, 60], ['Jack', 6, 30, 30]]

Using DataFrame column to create a list

We can create a DataFrame by using read_excel() function. From the DataFrame we can use one column data to create one list.

import pandas as pd
df=pd.read_excel("D:\\my_data\\tk-colours.xlsx") # Create DataFrame.
my_list=df['Name'].values.tolist() # data source

Using DataFrame index to create list

Use any one

my_list=df.index.values.tolist()

my_list = list(df.index)

my_list = list(df.index.values)

tolist() is used to create LIST from DataFrame to create PDF table
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tolist(): List from Pandas DataFrame

Adding column names to the list.

Using DataFrame column to create a list

Using DataFrame index to create list

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