matplotlib-tutorial | Matplotlib tutorial for beginner | Learning library

There are several locators for different kind of requirements:


.. list-table::
   :widths: 20 70
   :header-rows: 1

   * - Class
     - Description


   * - ``NullLocator``
     - No ticks.

       .. image:: figures/ticks-NullLocator.png

   * -   

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

plt.plot([1,2,3,4])
plt.ylabel('some numbers')
plt.show()

plt.plot([1,2,3,4], [1,4,9,16])
plt.show()

plt.plot([1,2,3,4], [1,4,9,16], 'ro')
plt.axis([0,6,0,20])
plt.show()
  

...
t = 2*np.pi/3
plt.plot([t,t],[0,np.cos(t)], color ='blue', linewidth=1.5, linestyle="--")
plt.scatter([t,],[np.cos(t),], 50, color ='blue')
plt.annotate(r'$\sin(\frac{2\pi}{3})=\frac{\sqrt{3}}{2}$',
             xy=(t, np.sin(t)), xycoords='data'  

def update(frame):
    current = frame % len(E)
    i = frame % len(P)

    P['color'][:,3] = np.maximum(0, P['color'][:,3] - 1.0/len(P))
    P['size'] += P['growth']

    magnitude = E['magnitude'][current]
    P['position'][i] = map(*E['position'][  

def tickline():

    size = 512,32
    dpi = 72.0
    figsize= size[0]/float(dpi),size[1]/float(dpi)
    fig = plt.figure(figsize=figsize, dpi=dpi)
    fig.patch.set_alpha(0)

    ax = axes([0.05, 0, 0.9, 1], frameon=False)
    xlim(0,10), ylim(-1,1)  

def update(frame):
    global P, C, S

    # Every ring is made more transparent
    C[:,3] = np.maximum(0, C[:,3] - 1.0/n)

    # Each ring is made larger
    S += (size_max - size_min) / n

    # Reset ring specific ring (relative to frame number)