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Tensor plotting functions
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from matplotlib import pyplot as plt | |
from mpl_toolkits import mplot3d | |
def scatter(X, Y, c=None, ax=None): | |
ax = plt.axes() if ax is None else ax | |
ax.scatter(X.numpy(), Y.numpy(), c=None if c is None else c.numpy()) | |
return ax | |
def contour(X, Y, Z, levels=None, ax=None): | |
ax = plt.axes() if ax is None else ax | |
ax.contour(X.numpy(), Y.numpy(), Z.numpy(), levels=levels) | |
return ax | |
def scatter3D(X, Y, Z, ax=None): | |
ax = plt.axes(projection='3d') if ax is None else ax | |
ax.scatter3D(X.numpy(), Y.numpy(), Z.numpy(), c=Z.numpy()) | |
return ax | |
def plot3D(X, Y, Z, ax=None): | |
ax = plt.axes(projection='3d') if ax is None else ax | |
ax.plot3D(X.numpy(), Y.numpy(), Z.numpy(), 'gray') | |
return ax | |
#def surface(X, Y, Z, rstride=1, cstride=1, ax=None): | |
# ax = plt.axes(projection='3d') if ax is None else ax | |
# ax.plot_surface(X.numpy(), Y.numpy(), Z.numpy(), rstride=rstride, cstride=cstride) | |
# return ax |
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