Is there a quick way to scale axis in matplotlib?
Say I want to plot
import matplotlib.pyplot as plt
c= [10,20 ,30 , 40]
plt.plot(c)
it will plot
How can I scale x-axis quickly, say multiplying every value with 5?
One way is creating an array for x axis:
x = [i*5 for i in range(len(c))]
plt.plot(x,c)
I am wondering if there is a shorter way to do that, without creating a list for x axis, say something like plt.plot(index(c)*5, c)
It's been a long time since this question is asked, but as I searched for that, I write this answer. IIUC, you are seeking a way to just modify x ticks without changing the values of that axis. So, as the unutbu answer, in another way using arrays:
plt.plot(c)
plt.xticks(ticks=plt.xticks()[0][1:], labels=5 * np.array(plt.xticks()[0][1:], dtype=np.float64))
plt.show()
Use a numpy.array instead of a list,
c = np.array([10, 20, 30 ,40]) # or `c = np.arange(10, 50, 10)`
plt.plot(c)
x = 5*np.arange(c.size) # same as `5*np.arange(len(c))`
This gives:
>>> print x
array([ 0, 5, 10, 15])
