%matplotlib inline
import pandas as pd
import matplotlib.pyplot as plt
! cargo run --release --example=goy_shell > goy.csv
Finished release [optimized] target(s) in 0.0 secs Running `target/release/examples/goy_shell`
df = pd.read_csv("goy.csv").set_index("time")
df[["r4", "r8", "r16", "r26"]].plot()
<matplotlib.axes._subplots.AxesSubplot at 0x7f7cf4241c88>
(df**2).mean().plot()
plt.yscale("log")