In [1]:

    

%matplotlib inline


    

In [2]:

    

! cargo run --release --example swe > she.csv


    

    




    Finished release [optimized] target(s) in 0.13s
     Running `target/release/examples/swe`

In [3]:

    

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt


    

In [4]:

    

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


    

In [5]:

    

n = len(df.columns)
l = 100.0  # from example/swe.rs
x = np.arange(0, l, l/n)


    

In [6]:

    

X, T = np.meshgrid(df.index, x)

plt.figure(figsize=(10, 10))
plt.pcolormesh(T, X, df.T)
plt.colorbar()
plt.xlabel("space", fontsize=20)
plt.ylabel("time", fontsize=20)
plt.savefig("she.png", bbox_inches="tight", transparent=False)