将Python中的文本文件解析为字典 [英] Parsing text file in Python into a dictionary

问题描述

我有一个csv文件.我想根据这些数据创建字典.我不应该熊猫.数据如下:

I have a csv file. I want to create dictionary from this data.I should not pandas. Data looks like this:

我这样做.但是数字的大小不一样.如何创建字典?

I do this. But size of the numbers is not same. How can I create a dictionary?

filename=" data.dat"
file=open(filename, encoding="latin-1").read().split(' , ')
dictt={}

for row in file:
    dictt[row[0]] = {‘values’, row[1]}

我有一个如上所述的文件.首先，我需要创建一个字典.之后，我将按照日期的降序打印每日唯一测量值的数量.

I have a file as above. First, I need to create a dict. After that, I will print the daily number of unique measurements in desending order according to date.

最终预期结果:

推荐答案

您好
随您便吧

with open("./test.txt") as myFile:
    formattedData = dict()
    for line in myFile:
        try:
            date , numbers = line.split(' , ')
            numbers = numbers.replace("\n","") 
            numbers = numbers.split(',')
            formattedData[date] = len(list(set(numbers)))
        except:
            date = line
            formattedData[date] = 0
print(formattedData)

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