Python equivalent to 'hold on' in Matlab

Question

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 1

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() 

Answer 2

You can use the following:

plt.hold(True)