Medulla Oblongata Medulla Oblongata - 7 months ago 8
Python Question

Python equivalent to 'hold on' in Matlab

Is there an explicit equivalent command in Python's matplotlib for Matlab's

hold on
? I'm trying to plot all my graphs on the same axes. Some graphs are generated inside a
for
loop, and these are plotted separately from
su
and
sl
:

import numpy as np
import matplotlib.pyplot as plt

for i in np.arange(1,5):
z = 68 + 4 * np.random.randn(50)
zm = np.cumsum(z) / range(1,len(z)+1)
plt.plot(zm)
plt.axis([0,50,60,80])

plt.show()

n = np.arange(1,51)
su = 68 + 4 / np.sqrt(n)
sl = 68 - 4 / np.sqrt(n)

plt.plot(n,su,n,sl)

plt.axis([0,50,60,80])
plt.show()

Answer

Just call plt.show() at the end:

import numpy as np
import matplotlib.pyplot as plt

plt.axis([0,50,60,80])
for i in np.arange(1,5):
    z = 68 + 4 * np.random.randn(50)
    zm = np.cumsum(z) / range(1,len(z)+1)
    plt.plot(zm)    

n = np.arange(1,51)
su = 68 + 4 / np.sqrt(n)
sl = 68 - 4 / np.sqrt(n)

plt.plot(n,su,n,sl)

plt.show()