Is there a way to make multiple horizontal boxplots in matplotlib?

I am trying to make a matplotlib figure that will have multiple horizontal boxplots stacked on one another. The documentation shows both how to make a single horizontal boxplot and how to make multiple vertically oriented plots in this section.

I tried using subplots as in the following code:

import numpy as np
import pylab as plt

totfigs = 5

plt.figure()
plt.hold = True

for i in np.arange(totfigs):    
    x = np.random.random(50)
    plt.subplot('{0}{1}{2}'.format(totfigs,1,开发者_运维知识库i+1))
    plt.boxplot(x,vert=0)
plt.show()

My output results in just a single horizontal boxplot though.

Any suggestions anyone?

Edit: Thanks to @joaquin, I fixed the plt.subplot call line. Now the subplot version works, but still would like the boxplots all in one figure...

If I'm understanding you correctly, you just need to pass boxplot a list (or a 2d array) containing each array you want to plot.

import numpy as np
import pylab as plt

totfigs = 5

plt.figure()
plt.hold = True
boxes=[]
for i in np.arange(totfigs):    
    x = np.random.random(50)
    boxes.append(x)

plt.boxplot(boxes,vert=0)
plt.show()

try:

plt.subplot('{0}{1}{2}'.format(totfigs, 1, i+1)    # n rows, 1 column

or

plt.subplot('{0}{1}{2}'.format(1, totfigs, i+1))    # 1 row, n columns

from the docstring:

subplot(*args, **kwargs)

Create a subplot command, creating axes with::

subplot(numRows, numCols, plotNum)

where plotNum = 1 is the first plot number and increasing plotNums fill rows first. max(plotNum) == numRows * numCols

if you want them all together, shift them conveniently. As an example with a constant shift:

for i in np.arange(totfigs):    
    x = np.random.random(50)
    plt.boxplot(x+(i*2),vert=0)