I came across this example in the Matplotlib website. I was wondering if it was possible to increase the figure size.
I tried with
f.figsize(15,15)
but it does nothing.
I came across this example in the Matplotlib website. I was wondering if it was possible to increase the figure size.
I tried with
f.figsize(15,15)
but it does nothing.
Alternatively, create a figure()
object using the figsize
argument and then use add_subplot
to add your subplots. E.g.
import matplotlib.pyplot as plt
import numpy as np
f = plt.figure(figsize=(10,3))
ax = f.add_subplot(121)
ax2 = f.add_subplot(122)
x = np.linspace(0,4,1000)
ax.plot(x, np.sin(x))
ax2.plot(x, np.cos(x), 'r:')
Benefits of this method are that the syntax is closer to calls of subplot()
instead of subplots()
. E.g. subplots doesn't seem to support using a GridSpec
for controlling the spacing of the subplots, but both subplot()
and add_subplot()
do.
In addition to the previous answers, here is an option to set the size of the figure and the size of the subplots within the figure individually by means of gridspec_kw
:
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
#generate random data
x,y=range(100), range(10)
z=np.random.random((len(x),len(y)))
Y=Y=[z[i].sum() for i in range(len(x))]
z=pd.DataFrame(z).unstack().reset_index()
#Plot data
fig, axs = plt.subplots(2,1,figsize=(16,9), gridspec_kw={'height_ratios': [1, 2]})
axs[0].plot(Y)
axs[1].scatter(z['level_1'], z['level_0'],c=z[0])
For plotting subplots
in a for loop
which is useful sometimes:
Sample code to for a matplotlib
plot of multiple subplots of histograms from a multivariate numpy array
(2 dimensional).
plt.figure(figsize=(16, 8))
for i in range(1, 7):
plt.subplot(2, 3, i)
plt.title('Histogram of {}'.format(str(i)))
plt.hist(x[:,i-1], bins=60)