Dynamically plotting graphs with matplotlib

[deanhystad]

It is possible to make a new dataframe that consists of selected columns of another dataframe. If the signal names follow some pattern this can be done using "like".

import pandas as pd
import random


data = {
    "time": range(1000, 1010),
    "sw1": random.choices([0, 1], k=10),
    "sw2": random.choices([0, 1], k=10),
    "tmp1": [random.random() * 5 + 10 for _ in range(10)],
    "sw3": random.choices([0, 1], k=10),
    "tmp2": [random.random() * 5 + 11 for _ in range(10)],
    "tmp3": [random.random() * 5 + 12 for _ in range(10)],
}
df = pd.DataFrame(data)

switches = df.filter(regex=r"(time)|sw.$")
temperatures = df.filter(regex=r"(time)|tmp.$")