Comments (1)
the code assumes that each row in the CSV file contains at least two elements (date and price). However, if the row is empty or does not have enough elements, this error will occur.
To resolve this issue, you can add some error handling to check if a row has the necessary elements before trying to access them. Here's an updated version of the get_data function that includes error handling:
python
def get_data(filename):
with open(filename, 'r') as csvfile:
csvFileReader = csv.reader(csvfile)
next(csvFileReader)
for row in csvFileReader:
if len(row) >= 2:
dates.append(int(row[0].split('-')[0]))
prices.append(float(row[1]))
return
from predicting_stock_prices.
Related Issues (7)
- why did i fail ? HOT 12
- Get no output. HOT 4
- No such file or directory: 'aapl.csv' HOT 1
- ## Overview Link
- invalid literal for int() with base 10 HOT 2
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from predicting_stock_prices.