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fig = plt.figure(figsize=(10,10)) # create figure
ax0=fig.add_subplot(2, 1, 1)
ax1=fig.add_subplot(2, 1, 2)
# Customize subplots:
ax0.set_xlabel(r'$w_a$', fontsize=25, labelpad=0)
ax0.set_ylabel(r'$w_b$', fontsize=25, labelpad=-20)
ax0.tick_params(axis='both', which='major', labelsize=17)
ax1.set_xlabel("epochs", fontsize=22, labelpad=5)
ax1.set_ylabel("costs", fontsize=25, labelpad=7)
fig = plt.figure(figsize=(10,10)) # create figure
ax = fig.add_subplot(111,projection='3d' )
line_style=["dashed", "dashdot", "dotted"] #linestyles
fontsize_=27 # set axis label fontsize
labelsize_=17 # set tick label fontsize
ax.view_init(elev=30, azim=-10)
ax.set_xlabel(r'$w_a$', fontsize=fontsize_, labelpad=17)
ax.set_ylabel(r'$w_b$', fontsize=fontsize_, labelpad=5)
ax.set_zlabel("costs", fontsize=fontsize_, labelpad=-35)
ax.tick_params(axis='x', pad=12, which='major', labelsize=labelsize_)
# Create animation of MSE-loss landscape:
import matplotlib.animation as animation
fig = plt.figure(figsize=(9,9)) # create figure
label_font_size = 25
tick_label_size= 17
ax0=fig.add_subplot(111, projection="3d")
ax0.tick_params(axis='both', which='major', labelsize=tick_label_size)
ax0.set_xlabel(r'$w_0$', fontsize=label_font_size, labelpad=3)
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@BundleOfKent
BundleOfKent / ChiSquared_plot.ipynb
Created February 20, 2020 09:34
Subplots of PDF and CCDF of chi-squared distribution
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