Tag: numpy

A small discovery

I just discovered that in using pylab you can plot an array or list of number vs the list lenght by default.

Let’s say we have a list of point like [2,2,3,4,5,5,6,10, 23,45,58,42,12]
points = [2,2,3,4,5,5,6,10,23,45,58,42,12]
well to plot this you just have to
pylab.plot(points)

and this is the results:

pylab example

pylab example

The whole script in python
import pylab
points = [2,2,3,4,5,5,6,10,23,45,58,42,12]
pylab.plot(points)
pylab.show()

The last one is needed to show the window, which will happen automatically if you are running the script using ipython with the pylab option.

I just discovered by chance. I always thought that to plot you need x and y, but of course it’s possible to infer the x if you just one to plot only the points, cause each point in the list has a “Cartesian coordinates” embedded, i.e. [0,2];[1,2];[2,3];[3,4];… etc.

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