stickplot2 (1)

Example Python program stickplot2 (1).py

Modules

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

Methods

• def stick(axes, times, speeds, directions, units=''):

Code

Python example

"""
some code to do a stick plot with MPL

This version uses matplotlib's quiver.

Credits
-------
Chris Barker
http://matplotlib.1069221.n5.nabble.com/Stick-Plot-td21479.html

See also
--------
http://matplotlib.1069221.n5.nabble.com/scaling-arrows-in-quiver-td23758.html
"""

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

import datetime


def stick(axes, times, speeds, directions, units=''):
    """
    Create a stick plot of the given data on the given axes.

    Stick plots are commonly used to display time series of
    a vector quantity at a point, such as wind or ocean current observations.

    Call signature::
        stick(axes, times, speed, direction, units='m/s')

    Arguments: 
       *axes*:  The axes object you want to plot on
       *times*: An array of datetime objects giving the time of the
                observations
       *speeds*: An array of the velocities of the observations
       *directions*: An array of the directions of the observations (in
                     degrees from North, where North is up on the plot)
       *units*:  A string with the units of the observation

    """

    props = {'units' : "dots",
             'width' : 2,
             'headwidth': 0,
             'headlength': 0,
             'headaxislength': 0,
             'scale' : .1,
             }

    ##fixme: this should use some smarts to fit the data...
    label_scale = 10
    unit_label = "%3g %s"%(label_scale, units)

    y = np.zeros_like(speeds)
    dir_rad = directions / 180. * np.pi
    u = np.sin(dir_rad) * speeds
    v = np.cos(dir_rad) * speeds

    Q = ax.quiver(times, y, u, v, **props)
    ax.quiverkey(Q, X=0.1, Y=0.95, U=label_scale, label=unit_label, coordinates='axes', labelpos='S')
    yaxis = ax.yaxis
    yaxis.set_ticklabels([])

if __name__ == '__main__':

    ## some sample data:

    data = np.array([(10,  0.5),
                     (10,  22.5),
                     (10, 45.0),
                     (10, 67.5),
                     (10, 90.0),
                     (10, 112.5),
                     (10, 135.0),
                     (10, 157.5),
                     (10, 180.0),
                     (10, 202.5),
                     (10, 225.0),
                     (10, 247.5),
                     (10, 270.0),
                     (10, 292.5),
                     (10, 315.0),
                     (10, 337.5),
                     ( 8, 157.5),
                     (12, 180.0),
                     (15, 202.5),
                     ( 7, 225.0),
                     ( 5, 247.5),
                     (16, 270.0),
                     (20, 292.5),
                     (22, 315.0),
                     (15, 337.5),
                     (12,  22.5),
                     (17, 25.0),
                     (18, 30),
                     ], dtype=np.float)
    data = np.r_[data, data, data, data, data, data]
    speeds  = data[:,0]
    directions  = data[:,1]
    times = range(len(speeds))
    #times = [datetime.datetime(2009, 5, 13, 0) + datetime.timedelta(hours=h) for h in times]

    fig = plt.figure(1)
    fig.clear()

    ax = fig.add_subplot(1,1,1)
    stick(ax, times, speeds, directions, units='knots')

    plt.draw()
    plt.show()

Useful Links

• Articles: https://python-commandments.org/
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• Tutorial: https://pythonprogramminglanguage.com/