The data in the array is returned as a single string. This function is similar to array_repr, with the difference that array_repr also returns information about the type of the array and its data type.
Syntax: numpy.array_str (arr, max_line_width = None, precision = None, suppress_small = None)
arr: [array_like] Input array.
max_line_width: [int, optional] Inserts newlines if text is longer than max_line_width. The default is, indirectly, 75.
precision: [int, optional] Floating point precision. Default is the current printing precision (generally 8).
suppress_small: [bool, optional] It represent very small numbers as zero, default is False. Very small number is defined by precision, if the precision is 8 then numbers smaller than 5e-9 are represented as zero.
Return: [str] The string representation of an array .
Code # 1: Work
Input array: [4 -8 7] class `numpy.ndarray` The string representation of input array: array ([4, -8, 7]) class` str `
Code # 2: Job< p>
Input array: [5.00000000e-08 4.0 0000000e-07 8.00000000e + 00 -4.00000000e + 00] class `numpy.ndarray` The string representation of input array: array ([0., 0., 8., -4.]) Class` str` pre >
I remember one day, when I was about 15, my little cousin had come over. Being the good elder sister that I was, I spent time with her outside in the garden, while all the adults were inside having a ...
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems PDF, 2nd Edition. This book assumes you know next to nothing about m...
During 2014, 2015, and 2016, surveys show that among all software developers, those with higher wages are the data engineers, the data scientists, and the data architects. This is because there is ...
Since you are interested in learning more about designing data visualizations (by virtue of the fact that you’re reading this book), then chances are good that you have been the reader of other peop...