I have some csv data in the following format.
Ln Dr Tag Lab 0:01 0:02 0:03 0:04 0:05 0:06 0:07
0:08 0:09
L0 St vT 4R 0 0 0 0 0
0 0 0 0
L2 Tx st 4R 8 8 8 8 8
8 8 8 8
L2 Tx ss 4R 1 1 9 6 1
0 0 6 7
I want to plot a timeseries graph using the columns (`Ln` , `Dr`, `Tg`,`Lab`)
as the keys and the `0:0n ` field as values on a timeseries graph.I want all
the timeseries to be plotted on a single timeseries?
I have the following code.
#!/usr/bin/env python
import matplotlib.pyplot as plt
import datetime
import numpy as np
import csv
import sys
with open("test.csv", 'r', newline='') as fin:
reader = csv.DictReader(fin)
for row in reader:
key = (row['Ln'], row['Dr'], row['Tg'],row['Lab'])
#code to extract the values and plot a timeseries.
~
How do I extract all the values in columns `0:0n` without induviduall
specifying each one of them.
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