Reading time series from disk
After storing a time series in a file, we need to write the necessary Python code to read it and put it in a Python variable of some type. This section will teach you exactly that. The read_ts.py script contains the following code:
#!/usr/bin/env python3
import pandas as pd
import numpy as np
import sys
def main():
filename = sys.argv[1]
ts1Temp = pd.read_csv(filename, header = None)
# Convert to NParray
ta = ts1Temp.to_numpy()
ta = ta.reshape(len(ta))
print("Length:", len(ta))
if __name__ == '__main__':
main()
After reading the time series, read_ts.py prints the number of elements in the time series:
$ ./read_ts.py ts2 Length: 50
The pd.read_csv() function reads a plain text file that uses the CSV format – in our case, each value is on its own line, so there should be no issues with separating values that reside on the same line. The pd.read_csv() function is...
