Develop Reference

Adjust space between two axes while keeping it constant on other axes using matplotlib

For some reason I couldn't find information on this (I'm pretty sure it exists somewhere), but in the following generic example, I would like to reduce the hspace between ax1 and ax2 while keeping the same hspace between ax2-ax3 and ax3-ax4.
I'd also appreciate any links to an example like that!
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
def annotate_axes(fig):
for i, ax in enumerate(fig.axes):
ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center")
ax.tick_params(labelbottom=False, labelleft=False)
fig = plt.figure()
gs1 = GridSpec(6, 1, hspace=0.2)
ax1 = fig.add_subplot(gs1[0])
ax2 = fig.add_subplot(gs1[1])
ax3 = fig.add_subplot(gs1[2:4])
ax4 = fig.add_subplot(gs1[4:6])
annotate_axes(fig)
plt.show()

One way that might suit your need is to create a subgrid (in this example, putting hspace to 0):
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
def annotate_axes(fig):
for i, ax in enumerate(fig.axes):
ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center")
ax.tick_params(labelbottom=False, labelleft=False)
fig = plt.figure()
gs1 = GridSpec(6, 1, hspace=0.2)
# subgrid for the first two slots
# in this example with no space
subg = gs1[0:2].subgridspec(2, 1, hspace = 0)
# note the ax1 and ax2 being created from the subgrid
ax1 = fig.add_subplot(subg[0])
ax2 = fig.add_subplot(subg[1])
ax3 = fig.add_subplot(gs1[2:4])
ax4 = fig.add_subplot(gs1[4:6])
annotate_axes(fig)
plt.show()

Matplotlib: how to remove spacing between a group of subplots

I have a series of pyplot subplots that I've created using a gridspec. They all have an hspace between them, which is fine, except that I would like to keep three of them without any space. Is there a way to do this? Currently, they look like this:
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
fig = plt.figure()
grid_spec = gridspec.GridSpec(nrows=10, ncols=10)
grid_spec.update(hspace=1.5)
ax1 = plt.subplot(grid_spec[0:4, :])
ax2 = plt.subplot(grid_spec[4:7, :], sharex=ax1)
# I would like to group the next 3 together
# so that they are stacked top to bottom and side by side
ax3 = plt.subplot(grid_spec[7:8, :5])
ax4 = plt.subplot(grid_spec[8:, :5], sharex=ax3)
ax5 = plt.subplot(grid_spec[8:, 5:6], sharey=ax4)
plt.show()
I would like them to be arranged like this so I can plot the following 2-D KDE diagram and have the relevant 1-D diagrams above and to the right (roughly displaying this sort of data crudely drawn in paint):
I appreciate any help with this one. Can't seem to find documentation on this sort of thing. Thanks!

You can use mpl_toolkits.axes_grid1.make_axes_locatable to subdivide the area of a subplot of a 3 x 2 grid.
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
fig = plt.figure()
gs = fig.add_gridspec(nrows=3, ncols=2, hspace=.5,
height_ratios=[4, 3, 3], width_ratios=[7, 4])
ax1 = fig.add_subplot(gs[0, :])
ax2 = fig.add_subplot(gs[1, :], sharex=ax1)
ax3 = fig.add_subplot(gs[2, 0])
div = make_axes_locatable(ax3)
ax4 = div.append_axes("top", "40%", pad=0.2, sharex=ax3)
ax5 = div.append_axes("right", "25%", pad=0.2, sharey=ax3)
ax4.tick_params(labelbottom=False)
ax5.tick_params(labelleft=False)
plt.show()
Also, you can create a subgridspec, like
import matplotlib.pyplot as plt
from matplotlib import gridspec
fig = plt.figure()
gs = gridspec.GridSpec(nrows=3, ncols=2, hspace=.5,
height_ratios=[4, 3, 3], width_ratios=[7, 4])
ax1 = fig.add_subplot(gs[0, :])
ax2 = fig.add_subplot(gs[1, :], sharex=ax1)
sub_gs = gridspec.GridSpecFromSubplotSpec(2,2, subplot_spec=gs[2,0], hspace=0.3, wspace=0.1,
height_ratios=[1,3], width_ratios=[3,1])
ax3 = fig.add_subplot(sub_gs[1,0])
ax4 = fig.add_subplot(sub_gs[0,0], sharex=ax3)
ax5 = fig.add_subplot(sub_gs[1,1], sharey=ax3)
ax4.tick_params(labelbottom=False)
ax5.tick_params(labelleft=False)
plt.show()
In both cases you will probably want to fine tune the parameters a bit. In general, the matplotlib gridspec tutorial gives a nice overview with many examples on this matter.

Variable wspace with gridspec.GridSpec in python

I would like to make a variable (two different) wspace using GridSpec in matplotlib.
I would like to achieve the following:
I'm using the following so far:
gs1 = gridspec.GridSpec(6, 3, width_ratios=[1.5,1,1])
gs1.update(wspace=0.4, hspace=0.3)
ax1 = fig.add_subplot(gs1[0:2,0])
ax2 = fig.add_subplot(gs1[2:4,0])
ax3 = fig.add_subplot(gs1[4:6,0])
ax4 = fig.add_subplot(gs1[0:3,1])
ax5 = fig.add_subplot(gs1[3:6,1])
ax6 = fig.add_subplot(gs1[0:3,2])
ax7 = fig.add_subplot(gs1[3:6,2])
Any idea how to obtain the two different space highlighted in green in my amazing hand drawing ?
Thanks a lot !
Sam

You may use 2 GridSpecs, one which contains one column and 3 rows and one which contains two rows and two colums. You can then let the first extend only to less than half of the figure and start the second at half the figure width. The difference between the left and right parameter will be the spacing.
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
fig = plt.figure()
gs1 = GridSpec(3, 1, right=0.4)
gs2 = GridSpec(2, 2, left=0.5)
ax1 = fig.add_subplot(gs1[0,0])
ax2 = fig.add_subplot(gs1[1,0])
ax3 = fig.add_subplot(gs1[2,0])
ax4 = fig.add_subplot(gs2[0,0])
ax5 = fig.add_subplot(gs2[0,1])
ax6 = fig.add_subplot(gs2[1,0])
ax7 = fig.add_subplot(gs2[1,1])
plt.show()
The same can be achieved with first defining an "outer" gridspec with two columns and placing an inner gridspec into each of them.
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec, GridSpecFromSubplotSpec
fig = plt.figure()
gs = GridSpec(1, 2, width_ratios=[1.5,2], wspace=0.3)
gs1 = GridSpecFromSubplotSpec(3, 1, subplot_spec=gs[0])
gs2 = GridSpecFromSubplotSpec(2, 2, subplot_spec=gs[1])
ax1 = fig.add_subplot(gs1[0,0])
ax2 = fig.add_subplot(gs1[1,0])
ax3 = fig.add_subplot(gs1[2,0])
ax4 = fig.add_subplot(gs2[0,0])
ax5 = fig.add_subplot(gs2[0,1])
ax6 = fig.add_subplot(gs2[1,0])
ax7 = fig.add_subplot(gs2[1,1])
plt.show()

How to adjust the plot size in Matplotlib?

I'm trying to remove the white space from the plot that I created:
As it is possible to see, there a big white spot on the right and also on the bottom, how to fix it? Here is my script:
fig = plt.figure(figsize=(7,7))
ax1 = plt.subplot2grid((4,3), (0,0),)
ax2 = plt.subplot2grid((4,3), (1,0),)
ax3 = plt.subplot2grid((4,3), (0,1),)
ax4 = plt.subplot2grid((4,3), (1,1),)
data = self.dframe[i]
tes = print_data(data, self.issues, self.color, self.type_user)
tes.print_top(data=data, top=10, ax=ax1, typegraph="hbar", problem=self.issues[i], tone=self.color[i])
tes.print_top(data=data, top=10, ax=ax2, typegraph="prod_bar", problem=self.issues[i], tone=self.color[i])
tes.print_top(data=data, top=10, ax=ax3, typegraph="reg_hbar", problem=self.issues[i], tone=self.color[i])
tes.print_top(data=data, top=10, ax=ax4, typegraph=self.type_user, problem=self.issues[i], tone=self.color[i])
problem = self.issues[i]
plt.tight_layout()
name = problem + str('.PNG')
plt.close(fig)
fig.savefig(name)

You are creating too many subplots!
If we look at this line:
ax1 = plt.subplot2grid((4,3), (0,0),)
We can see the first argument given to subplot2grid are the dimensions of the subplot grid to be made, in this case 4 rows, and 3 columns. You are then plotting in the subplots in the top left of your figure (the second argument given) which leaves a lot of space that's not used.
So to solve this, reduce the number of subplots by using:
ax1 = plt.subplot2grid((2,2), (0,0),)
Full example:
import numpy as np
import matplotlib.pyplot as plt
data = np.random.randn(25)
fig = plt.figure(figsize=(7,7))
ax1 = plt.subplot2grid((2,2), (0,0),)
ax2 = plt.subplot2grid((2,2), (1,0),)
ax3 = plt.subplot2grid((2,2), (0,1),)
ax4 = plt.subplot2grid((2,2), (1,1),)
ax1.plot(data)
ax2.plot(data)
ax3.plot(data)
ax4.plot(data)
plt.show()
Giving:

you can use
plt.subplots_adjust(left=0.09, bottom=0.07, right=0.98, top=0.97, wspace=0.2 , hspace=0.17 ) to adjust the window.
But the issue is that a lot of the space in your plot is empty
maybe you should change
plt.subplot2grid((4,3)... to plt.subplot2grid((2,2)

matplotlib GridSpec indexing yields unexpected results

I have a subplot arrangement that I am trying to tame with matplotlib.gridspec. Following the example HERE, I came up with the following for my plot:
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
f = plt.figure()
gs1 = gridspec.GridSpec(1,1)
ax1 = plt.subplot(gs1[:,:])
gs2 = gridspec.GridSpec(1,2)
ax2 = plt.subplot(gs2[:,0])
ax3 = plt.subplot(gs2[:,1])
plt.show()
Where I am expecting to get three subplots, I get this:
How do I get the following result?:

See this example (copied almost verbatim):
fig = plt.figure()
gs1 = gridspec.GridSpec(1,1)
gs1.update(left=0.05, right=0.33, wspace=0.05)
ax1 = fig.add_subplot(gs1[:,:])
gs2 = gridspec.GridSpec(1,2)
gs2.update(left=0.38, right=0.98, wspace=0.05)
ax2 = fig.add_subplot(gs2[:,0])
ax3 = fig.add_subplot(gs2[:,1])
plt.show()