We can use the DataFrame.drop_duplicates() function to remove duplicate rows from a DataFrame using the pandas Python library. Let’s say we have the following DataFrame:

    0   1   2
0   1   2   3
1   4   5   6
2   7   8   9
3   1   2   3
4  10  11  12

Here, row 0 and row 3 are duplicates. So, we want to remove the duplicate row. We can use the following Python code to do the same:

import pandas

list1 = [[1, 2, 3], [4, 5, 6], [7, 8, 9], [1, 2, 3], [10, 11, 12]]
df = pandas.DataFrame(list1)
print("df: \n", df)

df2 = df.drop_duplicates(keep="first", inplace=False, ignore_index=False)
print("df2: \n", df2)

The output will be: