Python 3.x 在python中读取文件并计算列中的单词数

我是python新手，我需要一些关于读取文件和计算列中单词的帮助

我有两个数据文件，分别是category.csv和data.csv

category.csv：

CATEGORY
Technology
Furniture
Office Supplies

下面是data.csv

CATEGORY
Technology
Furniture
Technology
Furniture
Office Supplies

首先，我想在category.csv中选择“Technology”，并将其与data.cvs匹配，然后，它将开始计算“Technology”在data.cvs中出现的次数

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( "=============================================================================")

但我没能用上面的代码数出来，有人能帮我吗？非常感谢。

这是解决方案-

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("=============================================================================")

---

注：已将OP的格式改为4个空格。

=============================================================================
Display category average stock level
=============================================================================
Technology           :   2
Office Supplies      :   1
Furniture            :   2
=============================================================================