Plotting with Matplotlib:Pyplot

Loading PyPlot

import matplotlib.pyplot as pl

Line Styles

fmt=formatcode

Colors

  • b: blue
  • g: green
  • r: red
  • c: cyan
  • m: magenta
  • y: yellow
  • k: black
  • w: white

Line Style

  • ‘-‘ : Solid
  • ‘–’ : Dashed
  • ‘..’ : Dotted
  • ‘_’ : Meh
  • ‘:’ + Meh^2

Markers

  • ‘*’
  • ‘.’

Example

import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np

t = np.arange(0.0, 1.0, 0.1)
s = np.sin(2*np.pi*t)
linestyles = ['_', '-', '--', ':']
markers = []
for m in Line2D.markers:
try:
        if len(m) == 1 and m != ' ':
                markers.append(m)
                except TypeError:
                        pass

styles = markers + [
        r'$\lambda$',
r'$\bowtie$',
r'$\circlearrowleft$',
r'$\clubsuit$',
r'$\checkmark$']

colors = ('b', 'g', 'r', 'c', 'm', 'y', 'k')

plt.figure(figsize=(8,8))

axisNum = 0
for row in range(6):
        for col in range(5):
                axisNum += 1
        ax = plt.subplot(6, 5, axisNum)
        color = colors[axisNum % len(colors)]
        if axisNum < len(linestyles):
                        plt.plot(t, s, linestyles[axisNum], color=color, markersize=10)
        else:
                        style = styles[(axisNum - len(linestyles)) % len(styles)]
                        plt.plot(t, s, linestyle='None', marker=style, color=color, markersize=10)
        ax.set_yticklabels([])
        ax.set_xticklabels([])

plt.show()

Colour Maps

Axes

Chaning Axes Scale:

import matplotlib.pyplot as plt

fig, ax = plt.subplots()

# We need to draw the canvas, otherwise the labels won't be positioned and
# won't have values yet.
fig.canvas.draw()

labels = [item.get_text() for item in ax.get_xticklabels()]
labels[1] = 'Testing'

ax.set_xticklabels(labels)

plt.show()

[item.get_text() for item in axes.get_xticklabels()]
['0.0', 'change', '1.0', '1.5', '2.0']