uczenie_maszynowe_zadania/cw_8/test.ipynb

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sb
%matplotlib inline

X = np.linspace(0,100)
Y = X**2

plt.plot(X,Y)

[<matplotlib.lines.Line2D at 0x7f9f519afd60>]

plt.subplot(3,1,(1,2))
plt.plot(X,Y,'red')
plt.subplot(3,1,(3,3))
plt.plot(X,Y,'blue')

[<matplotlib.lines.Line2D at 0x7f9f51935250>]

fig_1 = plt.figure(figsize=(6,3))
axes_1 = fig_1.add_axes([0,0.6,0.5,1])
axes_1.plot(X,Y)
axes_2 = fig_1.add_axes([0,0,0.5,0.5])
axes_2.plot(Y,X)
# axes_1 = fig_2.add

[<matplotlib.lines.Line2D at 0x7f9f517ddbb0>]

df = pd.DataFrame(X,Y)
sb.

<seaborn.axisgrid.PairGrid at 0x7f9f51c93820>