NumPy Input and Output: array_str() function
numpy.array_str() function
The array_str() function is used to convert a given string representation of the data into an array.
This function is similar to array_repr, the difference being that array_repr also returns information on the kind of array and its data type.
Syntax:
numpy.array_str(a, max_line_width=None, precision=None, suppress_small=None)
Version: 1.15.0
Parameter:
| Name | Description | Required / Optional |
|---|---|---|
| a | Input array. ndarray |
Required |
| max_line_width | Inserts newlines if text is longer than max_line_width. The default is, indirectly, 75. int |
Optional |
| precision | Floating point precision. Default is the current printing precision (usually 8), which can be altered using set_printoptions. int |
Optional |
| suppress_small | Represent numbers "very close" to zero as zero; default is False. Very close is defined by precision: if the precision is 8, e.g., numbers smaller (in absolute value) than 5e-9 are represented as zero. bool |
Optional |
NumPy.array_str() method Example:
>>> import numpy as np
>>> np.array_str(np.arange(5))
Output:
'[0 1 2 3 4]'
Python - NumPy Code Editor:
Previous: array_repr() function
Next: format_float_positional() function
- Weekly Trends
- Java Basic Programming Exercises
- SQL Subqueries
- Adventureworks Database Exercises
- C# Sharp Basic Exercises
- SQL COUNT() with distinct
- JavaScript String Exercises
- JavaScript HTML Form Validation
- Java Collection Exercises
- SQL COUNT() function
- SQL Inner Join
- JavaScript functions Exercises
- Python Tutorial
- Python Array Exercises
- SQL Cross Join
- C# Sharp Array Exercises
We are closing our Disqus commenting system for some maintenanace issues. You may write to us at reach[at]yahoo[dot]com or visit us at Facebook