changing scale / size of 3d plot in matplotlib
This is the plot I have produced.
I tried to change its size with figsize=(26,6) but the scale of the picture was also changed and I have got a lot of white space on the left and the right side which I have to crop manually. The grids behind of the plot also doesn't look straight and looks like its falling back. why does this happen? Is there any way to correct this?i was looking for something like ax.set_xlength where you could define the size of each axis.
I tried to change the scale with ax.set_autoscale_on(True) and plt.tight_layout() but I couldn't fix it.
this is the code i used:
fig, ax = plt.subplots(figsize=(25, 6)
subplot_kw=dict(projection='3d'))
ax.invert_xaxis()
ax.view_init(azim=10)
beside the scaling problem when I want to add some ticks to the y-axis by this code plt.xticks(min(y[0]),max(y[0]),50) the ticks completely disappear.
python matplotlib plot scale
asked Nov 26 '18 at 18:12
AmirAmir
113
add a comment |
This is the plot I have produced.
I tried to change its size with figsize=(26,6) but the scale of the picture was also changed and I have got a lot of white space on the left and the right side which I have to crop manually. The grids behind of the plot also doesn't look straight and looks like its falling back. why does this happen? Is there any way to correct this?i was looking for something like ax.set_xlength where you could define the size of each axis.
I tried to change the scale with ax.set_autoscale_on(True) and plt.tight_layout() but I couldn't fix it.
this is the code i used:
fig, ax = plt.subplots(figsize=(25, 6)
subplot_kw=dict(projection='3d'))
ax.invert_xaxis()
ax.view_init(azim=10)
beside the scaling problem when I want to add some ticks to the y-axis by this code plt.xticks(min(y[0]),max(y[0]),50) the ticks completely disappear.
python matplotlib plot scale
asked Nov 26 '18 at 18:12
AmirAmir
113
add a comment |
This is the plot I have produced.
I tried to change its size with figsize=(26,6) but the scale of the picture was also changed and I have got a lot of white space on the left and the right side which I have to crop manually. The grids behind of the plot also doesn't look straight and looks like its falling back. why does this happen? Is there any way to correct this?i was looking for something like ax.set_xlength where you could define the size of each axis.
I tried to change the scale with ax.set_autoscale_on(True) and plt.tight_layout() but I couldn't fix it.
this is the code i used:
fig, ax = plt.subplots(figsize=(25, 6)
subplot_kw=dict(projection='3d'))
ax.invert_xaxis()
ax.view_init(azim=10)
beside the scaling problem when I want to add some ticks to the y-axis by this code plt.xticks(min(y[0]),max(y[0]),50) the ticks completely disappear.
python matplotlib plot scale
asked Nov 26 '18 at 18:12
AmirAmir
113
This is the plot I have produced.
I tried to change its size with figsize=(26,6) but the scale of the picture was also changed and I have got a lot of white space on the left and the right side which I have to crop manually. The grids behind of the plot also doesn't look straight and looks like its falling back. why does this happen? Is there any way to correct this?i was looking for something like ax.set_xlength where you could define the size of each axis.
I tried to change the scale with ax.set_autoscale_on(True) and plt.tight_layout() but I couldn't fix it.
this is the code i used:
fig, ax = plt.subplots(figsize=(25, 6)
subplot_kw=dict(projection='3d'))
ax.invert_xaxis()
ax.view_init(azim=10)
beside the scaling problem when I want to add some ticks to the y-axis by this code plt.xticks(min(y[0]),max(y[0]),50) the ticks completely disappear.
python matplotlib plot scale
python matplotlib plot scale
asked Nov 26 '18 at 18:12
AmirAmir
113
asked Nov 26 '18 at 18:12
AmirAmir
113
edited Nov 26 '18 at 18:48
Amir
asked Nov 26 '18 at 18:12
AmirAmir
113
asked Nov 26 '18 at 18:12
AmirAmir
113
asked Nov 26 '18 at 18:12
AmirAmir
113
113
add a comment |
add a comment |
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