How to print numpy array with 3 decimal places?

Question

How can I print numpy array with 3 decimal places? I tried array.round(3) but it keeps printing like this 6.000e-01. Is there an option to make it print like this: 6.000?

I got one solution as print ("%0.3f" % arr), but I want a global solution i.e. not doing that every time I want to check the array contents.

Asked By: Jack Twain

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Source

Answer 1

 np.set_printoptions(formatter={'float': lambda x: "{0:0.3f}".format(x)})

This will set numpy to use this lambda function for formatting every float it prints out.

other types you can define formatting for (from the docstring of the function)

    - 'bool'
    - 'int'
    - 'timedelta' : a `numpy.timedelta64`
    - 'datetime' : a `numpy.datetime64`
    - 'float'
    - 'longfloat' : 128-bit floats
    - 'complexfloat'
    - 'longcomplexfloat' : composed of two 128-bit floats
    - 'numpy_str' : types `numpy.string_` and `numpy.unicode_`
    - 'str' : all other strings

Other keys that can be used to set a group of types at once are::

    - 'all' : sets all types
    - 'int_kind' : sets 'int'
    - 'float_kind' : sets 'float' and 'longfloat'
    - 'complex_kind' : sets 'complexfloat' and 'longcomplexfloat'
    - 'str_kind' : sets 'str' and 'numpystr'

Answered By: M4rtini

Answer 2

Actually what you need is np.set_printoptions(precision=3). There are a lot of helpful other parameters there.

For example:

np.random.seed(seed=0)
a = np.random.rand(3, 2)
print a
np.set_printoptions(precision=3)
print a

will show you the following:

[[ 0.5488135   0.71518937]
 [ 0.60276338  0.54488318]
 [ 0.4236548   0.64589411]]
[[ 0.549  0.715]
 [ 0.603  0.545]
 [ 0.424  0.646]]

Answered By: Salvador Dali

Answer 3

An easier solution is to use numpy around.

>>> randomArray = np.random.rand(2,2)
>>> print(randomArray)
array([[ 0.07562557,  0.01266064],
   [ 0.02759759,  0.05495717]])
>>> print(np.around(randomArray,3))
[[ 0.076  0.013]
 [ 0.028  0.055]]

Answered By: Thomas

How to print numpy array with 3 decimal places?

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