Question

In: Computer Science

I have a CSV file with 6 column Issue id action id Issue category Issue date...

I have a CSV file with 6 column

Issue id action id Issue category Issue date Issue Closed Date Issue Type

Please write a code in Python that counts the number of issues in each category and the earliest and latest issue date for each category.

Example of csv

Issue id action id Issue category Issue date Issue Closed Date Issue Type
23 1 Noise Complaint 7/19/2020 7/22/2020 Client Complaint
24 1 Cleanliness Complaint 7/19/2020 7/23/2020 Sanitation
25 2 Site Inspection 7/20/2020 7/20/2020 Patrol
26 2 Noise Complaint 7/19/2020 7/23/2020 Client Complaint

Solutions

Expert Solution

SAMPLE CSV -

CODE -

import pandas as pd
import datetime
data = pd.read_csv('issue.csv')
data1 = data.groupby('Issue category')
data['Issue date'] = data['Issue date'].apply(lambda v: datetime.datetime.strptime(v, '%m/%d/%Y'))
print("\nIssue Category \t\tNumber of issues")
print(data['Issue category'].value_counts().to_string())
print("\nEarliest Issue Date: \n")
print(data1['Issue date'].min().to_string())
print("\nLatest Issue Date: \n")
print(data1['Issue date'].max().to_string())

SCREENSHOT -

venereology answered 1 month ago
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