Pandas DataFrame isna() method with examples

The isna method in pandas detect missing values in a dataframe. It return a boolean same-sized object indicating if the values are NA. NA values, such as None or numpy.NaN, gets mapped to True values. Everything else gets mapped to False values.

Syntax –

DataFrame.isna()

Examples –

Let’s read a dataset to work with.

import pandas as pd

url = 'https://raw.githubusercontent.com/bprasad26/lwd/master/data/fruit_prices.csv'
df = pd.read_csv(url)
df.head()

1 . Show which entries in a DataFrame are NA –

To show which entries are NA in a DataFrame, we can use the isna() method in pandas.

df.isna().head()

2 . Show which entries in a series are NA –

We can also use isna method with a series.

# create a series
s = df['apple']

# check which entries in the series are NA
s.isna()