Numpy is the fundamental library of python, used to perform scientific computing. It provides high-performance multidimensional arrays and tools to deal with them. A NumPy array is a grid of values (of the same type) that are indexed by a tuple of positive integers. Numpy arrays are fast, easy to understand and give users the right to perform calculations across entire arrays.
Let us print number from 0 to 1000 by using simple NumPy functions
Python3
import numpy as np arr = np.arange(1001) print(arr) |
The output will be displayed like this
[ 0 1 2 ... 998 999 1000]
Whenever we have to print a large range of numbers then the output will be truncated and the result will be displayed within one line. But what to do if we don’t want truncation of output.
numpy.set_printoptions()
In NumPy, it is possible to remove truncation and display results as it is. We use numpy.set_printoptions() function having attribute threshold = np.inf or threshold = sys.maxsize
Syntax: numpy.set_printoptions(precision=None, threshold=None, edgeitems=None, linewidth=None,
suppress=None, nanstr=None, infstr=None, formatter=None)
Example 1: using threshold = sys.maxsize
Printing first 1000 numbers without truncation using np.set_printoptions(threshold = sys.maxsize)
Here, we set the threshold to sys.maxsize which represents the maximum values that python can handle.
Python3
# Importing Numpy and sys modules import numpy as np import sys # Creating a 1-D array with 100 values arr = np.arange(101) # Printing all values of array without truncation np.set_printoptions(threshold=sys.maxsize) print(arr) |
Output:
[ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35
36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53
54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71
72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89
90 91 92 93 94 95 96 97 98 99 100]
The above example shows how we can print a large range of values(like 0 to 100) without truncation.
Example 2: using threshold = np.inf
Printing first 1200 numbers without truncation using np.set_printoptions(threshold = np.inf)
Here, we set the threshold to np.inf which is the floating-point representation of infinity.
Python3
# Importing Numpy and sys modules import numpy as np import sys # Creating a 1-D array with 50 values arr = np.arange(51) # Printing all values of array without truncation np.set_printoptions(threshold=np.inf) print(arr) |
Output:
[ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
48 49 50]
The above example shows how we can print a large range of values(like 0 to 50) without truncation.
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