Extracting longitude and latitude

A DataFrame named df has been pre-loaded for you. Complete the code to extract longitude and latitude to new, separate columns.

This exercise is part of the course

Visualizing Geospatial Data in Python

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Exercise instructions

Print the first few rows with print() and df.head().
Use a list comprehension to extract latitude to a new column called lat.
Use a list comprehension to extract longitude to a new column called lng.
Print the first few rows with print() and df.head() again to confirm the new columns.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# print the first few rows of df 
print(df.head())

# extract latitude to a new column: lat
df['lat'] = [loc[_____] for loc in df.Location]

# extract longitude to a new column: lng
df['lng'] = [loc[_____] for loc in df.Location]

# print the first few rows of df again
print(df.head())

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