如何解决所以在我的python代码运行后,我输入了输入,程序就停止了不知道逻辑错误是什么
我正在尝试为 CSV 文件创建一个简单的解析器。我正在尝试使用最简单的方法来查看解析器以查找值(行)。
import csv
"""
with open('C:/MAIL07072021180029.csv','r') as file:
proxy = csv.reader(file)
for row in proxy:
print(row[0])
"""
identifyingnumber = input("What is the number? ")
with open('C:/MAIL07072021180029.csv','r') as file:
data = csv.reader(file)
for row in data:
if row[1] == (identifyingnumber):
print(row)
在我运行代码并输入代理号码后(识别号码,我的excel中的数据)。程序就停了?它没有打印行。
这是我的 csv 文件中的示例数据:
Card Identifying Sequence
1873356
我通过取出如果,该行打印成功,识别号来打印第 0 行。
这是某种逻辑错误吗?我想不通。
解决方法
您的 csv 文件中可能没有识别号,在这种情况下,由于您的“if”语句,不会打印任何内容。你可以检查你是否找到了这个数字,如果找到了,中断(如果你不想检查其他行的另一个数字实例),如果没有,打印你从未找到这个数字。>
with open('C:/MAIL07072021180029.csv','r') as file:
data = csv.reader(file)
found = False
for row in data:
if row[1] == (identifyingnumber):
print(row)
found = True
break # if you don't want to look for more instances of identifyingnumber
if not found: # aka found == False
print('I did not find any row[1] equal to',identifyingnumber)
我强烈推荐 Pandas 来帮助您完成任务。在 Pandas 中打开 csv,然后一次检查所有行的值,而不是遍历行。 https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html
import pandas as pd
df = pd.read_csv('C:/MAIL07072021180029.csv')
col1 = df.columns[1]
dfi = df[df[col1] == identifyingnumber]
dfi = dfi.reset_index()
print(dfi['index'].tolist()) # there could be more than 1 row with the identifier
编辑以将我们讨论中的所有内容放在评论中:
file_list = ['C:/MAIL07072021180029.csv','C:/other_file.csv']
for f in file_list:
with open(f,'r') as file:
data = csv.reader(file)
found = False
for row in data:
if found: # aka found == True - if any column found the value,break to stop iterating
break
for col in range(1,len(row)): # start at 1 to skip col 0
if row[col] == identifyingnumber: # (identifyingnumber) is a tuple(),you probably don't want that
print(row)
found = True
break # if you don't want to look for more instances of identifyingnumber
if not found: # aka found == False
print('I did not find any row[1] equal to',identifyingnumber)
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