How to select a specific row of DataFrame

1 min

You will need to select a specific row of a DataFrame.

Here is the code

As you can see we use the DataFrame.iloc[] slicing method.

With iloc you will need to pass the row and column slice you want to subselect.

[row, columns] => e.g. df.iloc[2,:] means the row at index 2 and all the columns.

import pandas as pd
import numpy as np

# We create our dataframe
df = pd.DataFrame({"col1": range(0,10),
                   "col2": range(10,20)})

# We print our dataframe
print(df)

# We print the second row of our dataframe
print(df.iloc[2,:])

Here you are! you now know how to select a specific row of DataFrame.

More on fundamentals

If you want to know more about Python fundamentals without headaches... check out the other articles I wrote by clicking just here:

Fundamentals - The Python You Need
We gathered the only Python essentials that you will probably ever need.