Convert List to dataframe in Python

In this tutorial, we will see how we can use a list and convert it into a dataframe in Python.

But before starting with this, let us revise what is the list and what are dataframes?

The list is a data structure in python in which all the elements are enclosed within square brackets.

The example of a list is-

Data frames are the tabular representation of data in the form of rows and columns.

They can be used by importing pandas.

Now let us have a look at the different methods of converting a list to a dataframe in Python.

1. Using DataFrame()
2. Using list with index and column names
3. Using zip()
4. Using Multidimensional list
5. Using multidimensional list with column and data type
6. Using lists in the dictionary

Using pd.DataFrame()

In the first approach we have used the pd.DataFrame() to convert a list.

The following program shows how it can be done-

Output:

                0
0         English
1           Hindi
2     Mathematics
3         Science
4  Social Science

Explanation:

It's time to have a look at the explanation of the above program-

1. In the first step we have imported the pandas library.
2. After this, we have declared the list that has strings as its values.
3. Finally, we have passed this list in DataFrame() and displayed the output.

Using List with Index and Column Names

In the second method, we will create a dataframe that has an index value and a column name.

The program given below illustrates the same.

Output:

           Subjects
i           English
ii            Hindi
iii     Mathematics
iv          Science
v    Social Science

Explanation:

Now it's time to understand the above program-

1. In the first step we have imported the pandas library.
2. After this, we have declared the list that has strings as it's values.
3. Finally, we have passed this list in DataFrame() with a list of index values and the column name.
4. On executing the program, it displays the desired output.

Using zip()

In this method we have used zip().

The following program shows how it can be done-

Output:

         Subjects    Code
0         English       20
1           Hindi          21
2     Mathematics    22
3         Science          23
4  Social Science      24

Explanation:

It's time to have a look at the explanation of the above program-

1. In the first step, we have imported the pandas library.
2. After this, we have declared the list that has strings as its values and another list contains the index values.
3. Finally, we have passed the list_values and list_index in zip inside DataFrame() with a list of index values and the column name.
4. On executing the program, it displays the desired output.

Using Multidimensional List

In this method we will see how a multidimensional list can be used for conversion.

The program given below illustrates the same.

Output:

Subject Name  Subject Code
0      English          4101
1        Hindi          4102
2      Science          4103
3  Mathematics          4104
4     Computer          4105

Explanation:

Now it's time to understand the above program-

1. In the first step we have imported the pandas library.
2. After this, we have declared the list contains different lists and each list has a string and an integer value.
3. Finally, we have passed the list_values in pd.DataFrame() with a list of column names.
4. On executing the program, it displays the desired output.

Using Multidimensional List with Column and Data Type

In this approach, we will see a slight variation of the above program.

The following program shows how it can be done-

Output:

         First_Name  Last_Name   Age
0      Colin                  Lassiter      46.0
1      James                Gomez       24.0
2       Sara                  Charles      34.0
3      Raven                Stewart      24.0
4     Oliver                 Osment      21.0

Explanation:

It's time to have a look at the explanation of the above program-

1. In the first step, we have imported the pandas library.
2. After this, we have declared the list contains different lists and each list has two string values(first name and last name) and an integer value(age).
3. Finally, we have passed the list_values in DataFrame() with a list of column names and the data type.
4. On executing the program, it displays the desired output.

Using Lists in the Dictionary

Finally, in the last method we will see how lists can be used with dictionaries and convert the list into a dataframe.

The program given below illustrates the same.

Output:

       First Name   Last_Name    Age
0      Colin               Lassiter         46
1      James            Gomez           24
2       Sara              Charles           34
3      Raven            Stewart          24
4     Oliver             Osment          21

Explanation:

Now it's time to understand the above program-

1. In the first step, we have imported the pandas library.
2. After this, we have declared three lists, namely f_name, l_name, and age.
3. In the next step, we have used these lists as values for the keys of the dictionary.
4. Finally, we have passed dict in DataFrame().
5. On executing the program, it displays the desired output.

Conclusion

In this tutorial, we came across some interesting methods of converting a list to a dataframe in Python.