XKCD 样图表

为什么!?

因为喜欢哪!


In [56]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

In [67]:
%pylab inline


Populating the interactive namespace from numpy and matplotlib

In [68]:
plt.xkcd()  # Yes...
plt.plot(sin(linspace(0, 10)))
plt.title('Whoo Hoo!!!')


Out[68]:
<matplotlib.text.Text at 0x11181cd90>

In [72]:
x = np.linspace(0, 10)
y1 = x * np.sin(x)
y2 = x * np.cos(x)

plt.fill(x, y1, 'red', alpha=0.4)
plt.fill(x, y2, 'blue', alpha=0.4)
plt.xlabel('x axis yo!')
plt.ylabel("I don't even know")


Out[72]:
<matplotlib.text.Text at 0x111f109d0>

In [74]:
fig = plt.figure(figsize=(8, 6))
ax = fig.add_subplot(211)

years = np.linspace(1975, 2013)
pct = 2 + 98. / (1 + np.exp(0.6 * (2008 - years)))
ax.plot(years, pct)

ax.set_xlim(1976, 2013)
ax.set_ylim(0, 100)
ax.yaxis.set_major_formatter(plt.FormatStrFormatter('%i%%'))

ax.text(1977, 67,
        ("Percentage of the US Population\n"
         "carrying cameras everywhere they go,\n"
         "every waking moment of their lives:"),
        size=16)

ax.set_xlabel(("In the last few years, with very little fanfare,\n"
               "We've conclusively settled the questions of\n"
               "flying saucers, lake monsters, ghosts, and bigfoot."),
              size=16)


Out[74]:
<matplotlib.text.Text at 0x111f1a550>

In [73]:
from IPython.display import HTML
url = 'http://jakevdp.github.io/downloads/videos/double_pendulum_xkcd.mp4'
HTML('<video controls alt="animation" src="{0}">'.format(url))


Out[73]:

In [69]:
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.collections import PolyCollection
from matplotlib.colors import colorConverter
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = fig.gca(projection='3d')

cc = lambda arg: colorConverter.to_rgba(arg, alpha=0.6)

xs = np.arange(0, 10, 0.4)
verts = []
zs = [0.0, 1.0, 2.0, 3.0]
for z in zs:
    ys = np.random.rand(len(xs))
    ys[0], ys[-1] = 0, 0
    verts.append(list(zip(xs, ys)))

poly = PolyCollection(verts, facecolors = [cc('r'), cc('g'), cc('b'),
                                           cc('y')])
poly.set_alpha(0.7)
ax.add_collection3d(poly, zs=zs, zdir='y')

ax.set_xlabel('X')
ax.set_xlim3d(0, 10)
ax.set_ylabel('Y')
ax.set_ylim3d(-1, 4)
ax.set_zlabel('Z')
ax.set_zlim3d(0, 1)

plt.show()



In [70]:
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
for c, z in zip(['r', 'g', 'b', 'y'], [30, 20, 10, 0]):
    xs = np.arange(20)
    ys = np.random.rand(20)

    # You can provide either a single color or an array. To demonstrate this,
    # the first bar of each set will be colored cyan.
    cs = [c] * len(xs)
    cs[0] = 'c'
    ax.bar(xs, ys, zs=z, zdir='y', color=cs, alpha=0.8)

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

plt.show()



In [71]:
import matplotlib.pyplot as plt


# The slices will be ordered and plotted counter-clockwise.
labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
sizes = [15, 30, 45, 10]
colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral']
explode = (0, 0.1, 0, 0) # only "explode" the 2nd slice (i.e. 'Hogs')

plt.pie(sizes, explode=explode, labels=labels, colors=colors,
        autopct='%1.1f%%', shadow=True, startangle=90)
# Set aspect ratio to be equal so that pie is drawn as a circle.
plt.axis('equal')
plt.show()