In [7]:
%matplotlib inline
import numpy as np
import pandas as pd
import scipy.stats
import matplotlib.pyplot as plt
In [81]:
df2 = pd.read_csv("../../target/mv_gaussian_noise.csv")
In [82]:
points2 = df2[df2["class"]=="A"]
noise2 = df2[df2["class"]=="B"]
In [86]:
plt.figure()
plt.hexbin(points2.m1, points2.m2, gridsize=50)
plt.colorbar()
plt.scatter(noise2.m1[:200], noise2.m2[:200], c='w', s=10)
Out[86]:
In [ ]: