Troubleshooting data issues

You will be building popups for the downtown art using the title and desc columns from the urban_art DataFrame. Here, you will inspect those columns to identify and clean up any problematic values.

Questo esercizio fa parte del corso

Visualizing Geospatial Data in Python

Visualizza il corso

Istruzioni dell'esercizio

Print and inspect the values in the title column of the urban_art DataFrame.
Print and inspect the values in the desc column of the urban_art DataFrame.
Use the fillna() method to replace the NaN values in the desc column with empty strings, and use .str.replace to replace the apostrophes (') with back-ticks (`).
Print the descriptions again to verify your work.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Print the urban_art titles
print(urban_art.____)

#Print the urban_art descriptions
print(urban_art.____)

# Replace Nan and ' values in description
urban_art.desc.____('', inplace = True)
urban_art.desc = urban_art.desc.____.____("'", "`")

#Print the urban_art descriptions again
print(urban_art.desc)

Modifica ed esegui il codice