Matplotlib Quick Reference - Matti Pastell

Matplotlib Quick Reference

Fixed x-error and variable y-error

12

Matti Pastell, University of Helsinki.



1.0

10

8

0.5

6

Import pylab

4

from pylab import *

0.0

2

0

Line plots

22

x = linspace(0, 2*pi, 100)

y = sin(x)

y2 = cos(x)

plot(x, y)

plot(x, y2, ¡¯og¡¯)

title(¡¯sin(x) and cos(x)¡¯)

xlabel(¡¯x¡¯)

ylabel(¡¯f(x)¡¯)

legend([¡¯sin(x)¡¯, ¡¯cos(x)¡¯], loc = 3)

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2

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10

Bar plot

0.5

0.0

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2.0

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3.0

3.5

4.0

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4

Histogram

y = [9, 12, 7]

errors = [1.3, 0.9, 2]

x = arange(len(y))

bar(x, y, yerr=errors, ecolor="red",

capsize=10)

x = randn(1000)

hist(x, bins=20)

14

sin(x) and cos(x)

1.0

12

160

10

140

8

120

6

100

4

80

f(x)

0.5

0.0

1.00

60

2

0.5

sin(x)

cos(x)

1

00.0

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x

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40

0.5

1.0

1.5

2.0

2.5

3.0

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Scatter plot

x = arange(10)

y = x + randn(len(x))

y2 = x + randn(len(x))

scatter(x, y, s=100, alpha=0.7)

scatter(x, y2, s=100, marker="d", color="red")

Errorbars

x = arange(0.1, 4, 0.5)

y = exp(-x)

y_error = 0.1 + 0.2*np.sqrt(x)

x_error = 0.1

errorbar(x, y, xerr = x_error,

yerr = y_error, fmt=¡¯o¡¯, ecolor="red")

title(¡¯Fixed x-error and variable y-error¡¯)

20

04

3

2

1

Boxplot

x = randn(100, 5)

boxplot(x)

2

2

1

1

0

0

¦ÒXY = 0.5

0.200

0.175

Y

0.150

1

1

2

2

0.125

0.100

0.075

0.050

1

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3

33

5

Stem plot

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2

1

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X

2

0.000

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Surface plot

x = range(10)

y = rand(10)

stem(x, y)

1.0

from mpl_toolkits.mplot3d import Axes3D

fig = figure()

ax = fig.add_subplot(111, projection=¡¯3d¡¯)

ax.plot_surface(X, Y, Z, cmap="jet")

sin(0.125n ¡¤x2 )

3

0.025

x = arange(0, 2*pi, 0.2)

y = sin(x)

stem(x,y)

axis([0, 2*pi, -1.2, 1.2])

xlabel(¡¯x¡¯)

ylabel(¡¯sinx(x)¡¯)

subplot(223)

y = randn(1000)

hist(y)

xlabel(¡¯bin¡¯)

ylabel(¡¯count¡¯)

subplot(224)

boxplot(y)

ylabel(¡¯y¡¯)

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0.20

0.6

0.15

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0.05

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0.00

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0.00

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count

200

0.8

0.5

0.5

1.00.0

250

1.0

1.0

0.5

sinx(x)

3

150

100

50

03

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0.5

1.0

0.2 0.4 0.6 0.8 1.0 0

x

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bin

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x

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y

3

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Links

? Matplotlib tutorial:

?rougier/teaching/matplotlib/

? Examples gallery:

gallery.html



Contour

Subplots

x = linspace(-3, 3, 200)

y = x

X,Y = meshgrid(x, y)

Z = bivariate_normal(X, Y, sigmaxy=0.5)

contourf(X, Y, Z)

colorbar()

xlabel(¡¯X¡¯)

ylabel(¡¯Y¡¯)

title(r"$\sigma_{XY}$ = 0.5")

n = 128.

x = arange(n)/n

y = sin(0.125*pi*n*x**2)

subplot(221)

plot(x,y,¡¯r¡¯)

xlabel(¡¯x¡¯)

ylabel(r¡¯$sin(0.125n \cdot x?2)$¡¯)

subplot(222)

? Matplotlib colormaps

2013/05/02/matplotlib_colormaps/

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