Parsing the raw data

Course Q&A TensorFlow Developer Professional Sequences, Time Series and Prediction
1 
    ### START CODE HERE
    
    reader = csv.reader(csvfile, delimiter=',')
    step=0
    for row in reader:
        temperatures.append(float(row[1]))
        times.append(step)
        step = step + 1
    ### END CODE HERE

This is what I have done for parsing the row data, it is the same way done in earlier assignments but this time it is giving me an error. I am not able to understand why this is so.

The structure of the csv file is :
Header looks like this:

“Date”,“Temp”

and these are numbers

This is the error:

ValueError Traceback (most recent call last)
in
1 # Test your function and save all “global” variables within the G class (G stands for global)
2 @dataclass
----> 3 class G:
4 TEMPERATURES_CSV = ‘./data/daily-min-temperatures.csv’
5 times, temperatures = parse_data_from_file(TEMPERATURES_CSV)

in G()
3 class G:
4 TEMPERATURES_CSV = ‘./data/daily-min-temperatures.csv’
----> 5 times, temperatures = parse_data_from_file(TEMPERATURES_CSV)
6 TIME = np.array(times)
7 SERIES = np.array(temperatures)

in parse_data_from_file(filename)
11 step=0
12 for row in reader:
—> 13 temperatures.append(float(row[1]))
14 times.append(step)
15 step = step + 1

ValueError: could not convert string to float: ‘Temp’

2

Please read the markdown again and understand the following text. You should omit the first line as the file contains headers.

3

Yes, i missed it, Thankyou very much. Got it working