To delete a row from a DataFrame, use the drop() method and set the index label as the parameter.
At first, let us create a DataFrame. We have index label as w, x, y, and z:
dataFrame = pd.DataFrame([[10, 15], [20, 25], [30, 35], [40, 45]],index=['w', 'x', 'y', 'z'], columns=['a', 'b'])
Now, let us use the index label and delete a row. Here, we will delete a row with index label ‘w’
dataFrame = dataFrame.drop('w')
Example
Following is the code
import pandas as pd # Create DataFrame dataFrame = pd.DataFrame([[10, 15], [20, 25], [30, 35], [40, 45]],index=['w', 'x', 'y', 'z'],columns=['a', 'b']) # DataFrame print"DataFrame...\n",dataFrame # deleting a row dataFrame = dataFrame.drop('w') print"DataFrame after deleting a row...\n",dataFrame
Output
This will produce the following output
DataFrame... a b w 10 15 x 20 25 y 30 35 z 40 45 DataFrame after deleting a row... a b x 20 25 y 30 35 z 40 45