Read File and count the words in column in python - python-3.x

Question

I'm new in python and I need some help on read the file and count the word in column.
I have 2 data file, which is category.csv and data.csv.
category.csv:
CATEGORY
Technology
Furniture
Office Supplies
and below is data.csv
CATEGORY
Technology
Furniture
Technology
Furniture
Office Supplies
First, I want to select the 'Technology' in category.csv and match it with data.cvs, after that, it will start to count 'Technology' appears how many times in data.cvs.
import csv # import csv file
filePath1 = "category.csv"
filePath2 = "data.csv"
with open(filePath1) as csvfile1: # open category file
with open(filePath2) as csvfile2: # open data file
reader1 = csv.DictReader(csvfile1) # dictread file
reader2 = csv.DictReader(csvfile2) # dictread file
for row1 in reader1: # read all row in data file
for row2 in reader2:
for row1['CATEGORY'] in row2['CATEGORY']:
total_tech = row2['CATEGORY'].count('Technology')
total_furn = row2['CATEGORY'].count('Furniture')
total_offi = row2['CATEGORY'].count('Office Supplies')
print("=============================================================================")
print("Display category average stock level")
print("=============================================================================")
print( "Technology :", total_tech)
print("Furniture :", total_furn)
print("Office Supplies :", total_offi)
print( "=============================================================================")
But i'm failed to count it with above code, can somebody help me ? Thank you so much.

Answer 1

Here is the solution -
import csv # import csv file
filePath1 = "category.csv"
filePath2 = "data.csv"
categories = {}
with open(filePath1) as csvfile: # open category file
reader = csv.DictReader(csvfile) # dictread file
for row in reader: # Create a dictionary map of all the categories, and initialise count to 0
categories[row["CATEGORY"]] = 0
with open(filePath2) as csvfile: # open data file
reader = csv.DictReader(csvfile) # dictread file
for row in reader:
categories[row["CATEGORY"]] += 1 # For every item in data file, increment the count of the category
print("=============================================================================")
print("Display category average stock level")
print("=============================================================================")
for key, value in categories.items():
print("{:<20} :{:>4}".format(key, value))
print("=============================================================================")
The output is like this -
=============================================================================
Display category average stock level
=============================================================================
Technology : 2
Office Supplies : 1
Furniture : 2
=============================================================================