
The notna method in pandas detect existing (non-missing) values in a dataframe or series. It return a boolean same-sized object indicating if the values are not NA. Non-missing values get mapped to True.
Syntax –
DataFrame.notna()
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 not NA –
To show which entries in a DataFrame are not NA, we can use the notna method in pandas.
df.notna()

2 . Show which entries in a Series are not NA –
We can also use notna method with a series.
# create a series
s = df['apple']
# check which entries in the series are not NA
s.notna()
