Selecting rows

SQL WHERE clauses return records whose values meet the given criteria. Passing such a query to read_sql() results in a dataframe loaded with only records we are interested in, so there is less filtering to do later on.

The hpd311calls table in data.db has data on calls about various housing issues, from maintenance problems to information requests. In this exercise, you'll use SQL to focus on calls about safety.

pandas has been loaded as pd, and a database engine, engine, has been created for data.db.

Este exercício faz parte do curso

Streamlined Data Ingestion with pandas

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Instruções do exercício

Create a query that selects all columns of records in hpd311calls that have 'SAFETY' as their complaint_type.
Use read_sql() to query the database and assign the result to the variable safety_calls.
Run the last section of code to create a graph of safety call counts in each borough.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Create query to get hpd311calls records about safety
query = """
____ *
____ hpd311calls
____ ____;
"""

# Query the database and assign result to safety_calls
safety_calls = ____

# Graph the number of safety calls by borough
call_counts = safety_calls.groupby('borough').unique_key.count()
call_counts.plot.barh()
plt.show()

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