在jupyter中使用matplotlib绘制非常小的值

Question

I am trying to plot some extremely small values with matplotlib in jupyter notebook (on a macbook pro). However, regardless if I set the y-axis limits, all I get is a flat line. What I am after is something like the example (png) below with regard to y-axis notation. I also tried the same example outside of jupyter and I still get the same results. Here's the code suggested by Andrew Walker on my previous question :

%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure(figsize=(13,6))
ax = fig.add_subplot(111)
plt.hold(True)


xs = np.linspace(0, 1, 101)
ys = 1e-300 * np.exp(-(xs-0.5)**2/0.01)

ax.plot(xs, ys, marker='.')

Here's what I get:

And here's what I'm after:

Answer 1

The easiest thing to do is to just plot your values multiplied by 10^300, and then change the y-axis label:

%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure(figsize=(13,6))
ax = fig.add_subplot(111)
plt.hold(True)

xs = np.linspace(0, 1, 101)
ys = np.exp(-(xs-0.5)**2/0.01)

ax.plot(xs, ys, marker='.')

ax.set_ylabel(r'Value [x 10^{-300}]')

Answer 2

You can use the set_ylim method on your axes object to do what you need, simply change your code to this and it would do what you need:

%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure(figsize=(13,6))
ax = fig.add_subplot(111)
plt.hold(True)


xs = np.linspace(0, 1, 101)
ys = 1e-300 * np.exp(-(xs-0.5)**2/0.01)

ax.set_ylim([0,10^-299])

ax.plot(xs, ys, marker='.')

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