txt 文件转换为数据框

Question

I have a txt file with three features:

file_name.txt: 
[{"x":1599235200000,"isValid":true,"y":10830027},
{"x":1599321600000,"isValid":true,"y":10883502},
{"x":1599408000000,"isValid":true,"y":10915511}]

Using python read the txt file and make it into dataframe.

The output I wish I have is only x and y: x is the timestamp and should be 1599235200.000 --> (2020, 9, 4, 16, 0) y is the numerical value, and the output should convert into the dataframe.

dataframe:
x                   y
2020-09-04         10830027
2020-09-05         10883502
2020-09-06         10915511

Answer 1

It looks like JSON data. pandas has a method read_json to read JSON files.

df = pd.read_json('file_name.txt')
df['x'] = pd.to_datetime(df['x'])
df

Output:

                           x  isValid         y
0 1970-01-01 00:26:39.235200     True  10830027
1 1970-01-01 00:26:39.321600     True  10883502
2 1970-01-01 00:26:39.408000     True  10915511