import CSV
with open("statefinancials.csv") as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
line_count = 0
for row in csv_reader:
if line_count == 0:
print(f'Column names are {", ".join(row)}')
line_count += 1
else:
print(" rating >=3.00")
我有一个包含数据的Excel文件
State Year to date sales Company Name Rating
GA 234333 xx 2.35
NV 234333 xx 4.02
TX 311122 kl 3.93
" " " "
etc......
我需要获取> 3.0评级的数据。我的代码在某个地方出错。
答案 0 :(得分:1)
尝试使用pandas
import pandas as pd
csv_reader = pd.read_csv('statefinancials.csv', delimiter=',')
csv_reader['Rating'] = csv_reader['Rating'].astype(float) # or float64
line_count = len(csv_reader[csv_reader['Rating']>3.0])
print ("Rows with Rating greater than 3 = ",line_count)
答案 1 :(得分:0)
import csv
with open('statefinancials.csv', 'r') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
column_names = next(csv_reader)
index_of_rating = column_names.index('Rating')
for row in csv_reader:
# get rating value by using index of rating and compare with 3
if float(row[index_of_rating]) > 3:
print('Rating is greater than 3')
您可以通过使用内置功能的索引功能找到收视率的索引。之后,您需要迭代到每一行来比较每行中的评分值。