Convert floating point array to integer array?

Question

I have an array known as start. I am trying to use it as a key in a dictionary known as G.

Here is a sample of the array:

array([(1497315, 11965605), (1502535, 11967915), (1501785, 11968665),
       (1520325, 11972295), (1522905, 11972805), (1504545, 11972865),
       (1500465, 11973075), (1489695, 11975205), (1485855, 11978775),
       (1499535, 11978955), (1508205, 11981745), (1521315, 11982615),
       (1501215, 11983335), (1508595, 11985225), (1503045, 11986635),
       (1522425, 11987745), (1512705, 11988255), (1519035, 11989185)...

len (start) is 50

I want to convert start into an integer type so I can use it as a key in my dictionary.

I've tried type (start) is int to confirm that it is not an integer. Start was created from two columns of integers representing x and y coordinates.

Related to previous question:

Dictionary not recognizing floating point keys

What do you mean convert to integer? The elements of the array tuples are already integers. — Jayanth Koushik
– Jayanth Koushik, Commented Mar 6, 2014 at 14:42
How is start initialised? If it's an array I'm not sure why (or how) you'd convert it to int. — Holloway
– Holloway, Commented Mar 6, 2014 at 14:45
This post is related to OP's last post stackoverflow.com/questions/22226725/… he was using floats before — Cory Kramer
– Cory Kramer, Commented Mar 6, 2014 at 14:45
Array and list are two different thing in Python, yours look like Numpy's ndarray. — Ashwini Chaudhary
– Ashwini Chaudhary, Commented Mar 6, 2014 at 14:46

Community · Accepted Answer · 2017-05-23 10:26:12Z

1

I believe it is with reference to your previous question

array = [(1497315.0, 11965605.0),(1502535.0, 11967915.0),(1501785.0, 11968665.0)]
print map(tuple, map(lambda x: map(int, x), array))
# [(1497315, 11965605), (1502535, 11967915), (1501785, 11968665)]

with list comprehension

print [[int(item) for item in items] for items in array]

If you want to convert the keys of your dictionary to int, you use dictionary comprehension

d = {(15035.0, 119915.0): 'b', (15085.0, 119665.0): 'c', (14975.0, 11965.0): 'a'}
print {(int(k[0]), int(k[1])):v for k, v in d.iteritems()}
# {(15085, 119665): 'c', (14975, 11965): 'a', (15035, 119915): 'b'}

edited May 23, 2017 at 10:26

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answered Mar 6, 2014 at 14:45

thefourtheye

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2 Comments

JC11 Over a year ago

This prints the conversion, is there a way to change it permanently. When you typeprint array again the values are still floats.

thefourtheye Over a year ago

array = {(int(k[0]), int(k[1])):v for k, v in d.iteritems()} :)

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