I'm new to python scientific computing, and I tried to make a simple graph on IPython notebook.
import pandas
plot(arange(10))
Then error had shown as below.
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-2-6b139d572bd6> in <module>()
1 import pandas
----> 2 plot(arange(10))
NameError: name 'plot' is not defined
Instead, with IPython --pylab mode, a right graph popped up when I tried the same code.
Am I missing any environment?
My environment is Mac OSX 10.8.5, python 2.7.5, IPython 1.1.0, matplotlib 1.3.1, and pandas 0.12.0. I downloaded python scientific environment by Anaconda installer from continuum.io. Anaconda version is the newest one as of 1/30/2014.
Usually, displaying plots involves using the show() function from PyPlot. With Jupyter notebooks, this isn't necessary as the plots are displayed after running the cells containing the code that generates them. These plots are by default, displayed inline, which means, they're displayed in the notebook itself.
The plot() function is used to draw points (markers) in a diagram. By default, the plot() function draws a line from point to point. The function takes parameters for specifying points in the diagram.
Matplotlib is a Python library that is used often with Jupyter Notebook.
It is not advisable to use pylab
mode. See the following post from Matthias Bussonnier
A summary from that post:
Why not to use pylab
flag:
You are much better by doing the following inside your IPython notebook.
%matplotlib inline import matplotlib.pyplot as plt plt.plot(range(10))
The following is the code which --pylab
brings into the namespace
import numpy import matplotlib from matplotlib import pylab, mlab, pyplot np = numpy plt = pyplot from IPython.core.pylabtools import figsize, getfigs from pylab import * from numpy import *
Still, if you wish to use pylab
and have plots inline, you may do either of the following:
From shell:
$ ipython notebook --pylab inline
Or, from within your notebook
%pylab inline
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With