Matplotlib面向对象的代码可在笔记本中内联显示

Question

Any ideas on how I can get this code

# -*- noplot -*-
"""
=============================
The object-oriented interface
=============================

A pure OO (look Ma, no pylab!) example using the agg backend
"""
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure

fig = Figure()
canvas = FigureCanvas(fig)
ax = fig.add_subplot(111)
ax.plot([1, 2, 3])
ax.set_title('hi mom')
ax.grid(True)
ax.set_xlabel('time')
ax.set_ylabel('volts')

from the matplotlib example gallery at this link to show me the chart in-line in my notebook?

Please Note:

• I want to avoid using pyplot as I am trying to use matplotlib using their "Object Oriented" Library only
• I have no issues getting pyplot based plots to render inline in my notebook using the %matplotlib inline or %matplotlib notebook magic

This confusing Object Oriented API of matplotlib isn't necessarily rendering inline.

Should I be using a different canvas?

Using fig.show() gives me the following error

AttributeError: 'FigureCanvasAgg' object has no attribute 'manager' Figure.show works only for figures managed by pyplot, normally created by pyplot.figure().

Also, this particular canvas doesn't have a show method. So I am totally lost on how to get these darn Obj Oriented plots to render inline.

Answer 1

To display a figure which does not live in pyplot and has no figure manager associated with it, you can use IPython.core.display :

from IPython.core.display import display
display(fig)

---

Just note that there is actually no reason at all not to use pyplot to create the figure. Using pyplot, the code is much cleaner and will automatically show.

 %matplotlib inline import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.plot([1, 2, 3]) ax.set_title('hi mom') ax.grid(True) ax.set_xlabel('time') ax.set_ylabel('volts');