import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
np.random.seed(2023)
df = pd.DataFrame({
"x": np.linspace(0, 1, 10),
"A": np.random.rand(10),
"B": np.random.rand(10),
"C": np.random.rand(10),
})
for column in df:
if column != 'x':
plt.plot(df['x'], df[column],label=f"x vs. {column}")
plt.scatter(df['x'], df[column])
plt.title("Performance")
plt.grid()
plt.xlabel('x')
plt.ylabel('Efficiency')
plt.legend()
plt.show()
plt.savefig('ex421.png', dpi=100)
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