Remove all rows with NaN values in column 'price' code example

Example 1: how to remove rows with nan in pandas

df.dropna(subset=[columns],inplace=True)

Example 2: remove all rows without a value pandas

# Keeps only rows without a missing value
df = df[df['name'].notna()]