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Basic objects in numpy
numpy, scipy and matplotlib example from a Well House Consultants training course
More on numpy, scipy and matplotlib [link]

This example is described in the following article(s):
   • What are numpy and scipy? - [link]

Source code: nphw Module: Y118
import numpy

# setting up and using floating point objects - 32 and 64 bit

print "32 bit float"
pi = numpy.float32(3.1415)
print pi
eachdwarf = pi / 7.0
print pi, eachdwarf

print "\n64 bit float"
pi = numpy.float64(3.1415)
print pi
eachdwarf = pi / 7.0
print pi, eachdwarf

# Setting up and using integers and an array (v a list)

print "\n16 bit integer"
footstool = [4,3,6,7,6,5,4,-10,-90]
print footstool
# next line fails / can't add int to list
# print footstool+5

table = numpy.int16([4,3,6,7,66,5,4,-10,-90])
print table
# addition of 5 to each array member
print table + 5
print table[4]

# Setting up a multidimensional array

print "\nSetting up an array"
tab2 = numpy.indices((3,3))
print tab2

""" Sample output

32 bit float
3.1415 0.448785713741

64 bit float
3.1415 0.448785714286

16 bit integer
[4, 3, 6, 7, 6, 5, 4, -10, -90]
[ 4 3 6 7 66 5 4 -10 -90]
[ 9 8 11 12 71 10 9 -5 -85]

Setting up an array
[[[0 0 0]
  [1 1 1]
  [2 2 2]]

 [[0 1 2]
  [0 1 2]
  [0 1 2]]]
wizard:plymgen graham$


Learn about this subject
This module and example are covered on the following public courses:
 * Learning to program in Python
 * Python Programming
Also available on on site courses for larger groups

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Other Examples
This example comes from our "numpy, scipy and matplotlib" training module. You'll find a description of the topic and some other closely related examples on the "numpy, scipy and matplotlib" module index page.

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