According to the US Census Bureau, the 10 largest American cities (by popula‐tion) in 2010 were as follows:• New York, NY (8,175,133 people)• Los Angeles, CA (3,792,621)• Chicago, IL (2,695,598)• Houston, TX (2,100,263)• Philadelphia, PA (1,526,006)• Phoenix, AZ (1,445,632)• San Antonio, TX (1,327,407)• San Diego, CA (1,307,402)• Dallas, TX (1,197,816)• San Jose, CA (945,942)Define an array (or arrays) that holds this information about locations and popu‐lations. Print a table of locations and population information that includes thetotal population in all 10 cities.
Question
According to the US Census Bureau, the 10 largest American cities (by popula‐tion) in 2010 were as follows:• New York, NY (8,175,133 people)• Los Angeles, CA (3,792,621)• Chicago, IL (2,695,598)• Houston, TX (2,100,263)• Philadelphia, PA (1,526,006)• Phoenix, AZ (1,445,632)• San Antonio, TX (1,327,407)• San Diego, CA (1,307,402)• Dallas, TX (1,197,816)• San Jose, CA (945,942)Define an array (or arrays) that holds this information about locations and popu‐lations. Print a table of locations and population information that includes thetotal population in all 10 cities.
Solution
Sure, here is a Python solution for your question:
import pandas as pd
# Define the data
data = {
'City': ['New York, NY', 'Los Angeles, CA', 'Chicago, IL', 'Houston, TX', 'Philadelphia, PA', 'Phoenix, AZ', 'San Antonio, TX', 'San Diego, CA', 'Dallas, TX', 'San Jose, CA'],
'Population': [8175133, 3792621, 2695598, 2100263, 1526006, 1445632, 1327407, 1307402, 1197816, 945942]
}
# Create DataFrame
df = pd.DataFrame(data)
# Print the table
print(df)
# Print the total population
print('Total population:', df['Similar Questions
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