[Matplotlib-devel] To stretch out a plot along the horizontal or vertical direction

[Frère Justin - Jérusalem]

Hello,

I'm struggling to stretch out a plot *along the horizontal direction only*.
I have scaled it, that I know, but it gets displayed only in a white square
window embedded in the whole canvas. Here is an attached snapshot. I've
tried a number of things (figsize, layout constrained, rcParams and others)
but they only enlarge the whole display window, not the plot within the
window itself. In stackoverflow forum no one knows. My OS is Windows 10. I
would appreciate if you could tell me what to do (in case you need, I
attach my script)

Fernando

# 3D DELAUNAY TRIANGULATION OF AN UNSTRUCTURED-GRID DATAFILE
import numpy as npimport matplotlib.tri as mtrifrom
mpl_toolkits.mplot3d import Axes3Dimport matplotlib.pyplot as pltwith
open('../gnuplot/bin/datos.txt', 'r') as f:
    lines = f.readlines()

    x, y, z = np.genfromtxt("../gnuplot/bin/datos.txt", unpack=True)

fig = plt.figure()
ax = fig.add_subplot(1,1,1)

ax.scatter(x, y, marker=".", c="#DC143C", edgecolors="black", s=100)
ax.set_xlabel('X')
ax.set_ylabel('Y')

triang = mtri.Triangulation(x, y)

fig = plt.figure()
ax = fig.add_subplot(1,1,1)

ax.triplot(triang, c="#D3D3D3", marker='.', markerfacecolor="#DC143C",
    markeredgecolor="black", markersize=5)

ax.set_xlabel('X')
ax.set_ylabel('Y')

isBad = np.where((x<-1) | (x>7) | (y<12) | (y>88), True, False)

mask = np.any(isBad[triang.triangles],axis=1)
triang.set_mask(mask)

fig = plt.figure()
ax = fig.add_subplot(1,1,1)

ax.triplot(triang, c="#D3D3D3", marker='.', markerfacecolor="#DC143C",
    markeredgecolor="black", markersize=5)

ax.set_xlabel('X')
ax.set_ylabel('Y')

fig, ax = plt.subplots(subplot_kw={'projection':'3d'}, facecolor='lightgray')
fig.subplots_adjust(bottom=0, left=-0.15, top=1, right=0.56)
ax.get_proj = lambda: np.dot(Axes3D.get_proj(ax), np.diag([2.0, 2.0,
1.0, 1]))#fig.patch.set_alpha(0.0) THIS JUST CHANGES THE COLOR OF THE
BORDER TO WHITE

ax.plot_trisurf(triang, z, cmap='jet')
ax.scatter(x,y,z, marker='.', s=10, c="black", alpha=0.5)
ax.view_init(elev=30, azim=-45)

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
# plt.savefig('image.png', bbox_inches='tight', pad_inches=0) THIS DOESN'T WORK

plt.show()
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