Pandas SQL Query: Create a boolean series selecting rows with one or more nulls from locations file
13. Boolean Series for Rows with Any Null in LOCATIONS
Write a Pandas program to create a boolean series selecting rows with one or more nulls from locations file.
LOCATIONS.csv
Sample Solution :
Python Code :
import pandas as pd
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
employees = pd.read_csv(r"EMPLOYEES.csv")
departments = pd.read_csv(r"DEPARTMENTS.csv")
job_history = pd.read_csv(r"JOB_HISTORY.csv")
jobs = pd.read_csv(r"JOBS.csv")
countries = pd.read_csv(r"COUNTRIES.csv")
regions = pd.read_csv(r"REGIONS.csv")
locations = pd.read_csv(r"LOCATIONS.csv")
print(locations.isnull())
Sample Output:
location_id street_address postal_code city state_province country_id 0 False False False False True False 1 False False False False True False 2 False False False False False False 3 False False False False True False 4 False False False False False False 5 False False False False False False 6 False False False False False False 7 False False False False False False 8 False False False False False False 9 False False False False False False 10 False False False False True False 11 False False False False False False 12 False False False False False False 13 False False False False True False 14 False False True False True False 15 False False False False False False 16 False False False False False False 17 False False False False False False 18 False False False False False False 19 False False False False False False 20 False False False False False False 21 False False False False False False 22 False False False False False False
Click to view the table contain:
For more Practice: Solve these Related Problems:
- Write a Pandas program to create a boolean series that identifies rows in LOCATIONS.csv containing one or more null values.
- Write a Pandas program to filter LOCATIONS.csv using a boolean series that flags rows with any missing values.
- Write a Pandas program to count and display the number of rows with one or more nulls using a boolean mask.
- Write a Pandas program to create a new DataFrame consisting only of rows that contain one or more null values.
Python Code Editor:
Structure of HR database :

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