In [1]:

    

%matplotlib inline


    

In [2]:

    

import pandas as pd
import matplotlib.pyplot as plt


    

In [3]:

    

! cargo run --release --example=goy_shell > goy.csv


    

    




    Finished release [optimized] target(s) in 0.0 secs
     Running `target/release/examples/goy_shell`

In [4]:

    

df = pd.read_csv("goy.csv").set_index("time")


    

In [5]:

    

df[["r4", "r8", "r16", "r26"]].plot()


    

    
Out[5]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f7cf4241c88>






    

In [6]:

    

(df**2).mean().plot()
plt.yscale("log")