How to Make Ipython Notebook Matplotlib Plot Inline

How to make IPython notebook matplotlib plot inline

I used %matplotlib inline in the first cell of the notebook and it works. I think you should try:

%matplotlib inline

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

You can also always start all your IPython kernels in inline mode by default by setting the following config options in your config files:

c.IPKernelApp.matplotlib=<CaselessStrEnum>
  Default: None
  Choices: ['auto', 'gtk', 'gtk3', 'inline', 'nbagg', 'notebook', 'osx', 'qt', 'qt4', 'qt5', 'tk', 'wx']
  Configure matplotlib for interactive use with the default matplotlib backend.

Automatically run %matplotlib inline in IPython Notebook

The configuration way

IPython has profiles for configuration, located at ~/.ipython/profile_*. The default profile is called profile_default. Within this folder there are two primary configuration files:

• ipython_config.py
• ipython_kernel_config.py

Add the inline option for matplotlib to ipython_kernel_config.py:

c = get_config()
# ... Any other configurables you want to set
c.InteractiveShellApp.matplotlib = "inline"

matplotlib vs. pylab

Usage of %pylab to get inline plotting is discouraged.

It introduces all sorts of gunk into your namespace that you just don't need.

%matplotlib on the other hand enables inline plotting without injecting your namespace. You'll need to do explicit calls to get matplotlib and numpy imported.

import matplotlib.pyplot as plt
import numpy as np

The small price of typing out your imports explicitly should be completely overcome by the fact that you now have reproducible code.

How to make inline plots in Jupyter Notebook larger?

Yes, play with figuresize and dpi like so (before you call your subplot):

fig=plt.figure(figsize=(12,8), dpi= 100, facecolor='w', edgecolor='k')

As @tacaswell and @Hagne pointed out, you can also change the defaults if it's not a one-off:

plt.rcParams['figure.figsize'] = [12, 8]
plt.rcParams['figure.dpi'] = 100 # 200 e.g. is really fine, but slower

How can I open the interactive matplotlib window in IPython notebook?

According to the documentation, you should be able to switch back and forth like this:

In [2]: %matplotlib inline 
In [3]: plot(...)

In [4]: %matplotlib qt  # wx, gtk, osx, tk, empty uses default
In [5]: plot(...) 

and that will pop up a regular plot window (a restart on the notebook may be necessary).

I hope this helps.

jupyter notebook matplotlib show plot and then plot on the origin figure

Update: I actually figured out the answer.

def plot(step):
  fig = plt.figure(figsize=(5,5))
  ax = plt.axes()
  ax.set_xlabel('cat')
  ax.set_ylabel('dog')
  plt.title("Set of 2 animals")
  if step>=1:
    x = np.linspace(0, 1.0, 1000)
    ax.plot(x, 1.0-x,zorder = 0)
  if step>=2:
    p0 = 0.5
    p1 = 0.5
    color = "blue"
    textd =0.05
    ax.scatter([p0],[p1], color = color,zorder=1)
    ax.text(p0+textd, p1+textd, 'tiger',color = color,zorder =2)
  plot.show()

should be able to solve the problem.

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