How to add rows to Pandas DataFrame

You can use the df.loc() function to add a row to the end of a Pandas DataFrame :

#add row to end of DataFrame
df.loc[len(df.index)] = [value1, value2, value3, ...]

You can append several rows of an existing DataFrame to the end of another DataFrame using the df.append() function:

#append rows of df2 to end of existing DataFrame
df = df.append(df2, ignore_index = True)

The following examples show how to use these functions in practice.

Example 1: Add a row to a Pandas DataFrame

The following code shows how to add a row to the end of a Pandas DataFrame:

import pandas as pd

#create DataFrame
df = pd.DataFrame({'points': [10, 12, 12, 14, 13, 18],
                   'rebounds': [7, 7, 8, 13, 7, 4],
                   'assists': [11, 8, 10, 6, 6, 5]})

#view DataFrame
df

	points	rebounds assists
0	10	7	 11
1	12	7	 8
2	12	8	 10
3	14	13	 6
4	13	7	 6
5	18	4	 5

#add new row to end of DataFrame
df.loc[len(df.index)] = [20, 7, 5]

#view updated DataFrame
df

        points	rebounds assists
0	10	7	 11
1	12	7	 8
2	12	8	 10
3	14	13	 6
4	13	7	 6
5	18	4	 5
6	20	7	 5

Example 2: Adding a few rows to a Pandas DataFrame

The following code shows how to add several rows of an existing DataFrame to the end of another DataFrame:

import pandas as pd

#create DataFrame
df = pd.DataFrame({'points': [10, 12, 12, 14, 13, 18],
                   'rebounds': [7, 7, 8, 13, 7, 4],
                   'assists': [11, 8, 10, 6, 6, 5]})

#view DataFrame
df

	points	rebounds assists
0	10	7	 11
1	12	7	 8
2	12	8	 10
3	14	13	 6
4	13	7	 6
5	18	4	 5

#define second DataFrame
df2 = pd.DataFrame({'points': [21, 25, 26],
                    'rebounds': [7, 7, 13],
                    'assists': [11, 3, 3]})

#add new row to end of DataFrame
df = df.append(df2, ignore_index = True)

#view updated DataFrame
df

        points	rebounds assists
0	10	7	 11
1	12	7	 8
2	12	8	 10
3	14	13	 6
4	13	7	 6
5	18	4	 5
6	21	7	 11
7	25	7	 3
8	26	13	 3

Note that both DataFrames should have the same column names in order to successfully append the rows of one DataFrame to the end of the other.