Filtering and Querying

Want to zoom in on specific data?

Filtering in Pandas is incredibly powerful. Check the code below:

# Multiple conditions
high_sales = df[(df['sales'] > 1000) & (df['region'] == 'West')]

# Using .query() – cleaner syntax!
high_performers = df.query("sales > 1000 and region == 'West'")

# Find missing values
df[df['email'].isna()]

# Contains substring
df[df['product'].str.contains('Pro', case=False)]

Next up 👉 Adding and Removing Columns