Python – tensorflow.histogram_fixed_width()

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TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.

histogram_fixed_width() is used to find the histogram values.

Syntax: tensorflow.histogram_fixed_width( values, value_range, nbins, dtype, name )

Parameters:

values: It is a numeric Tensor.

value_range: It is a Tensor of shape [2] with same dtype as values.

nbins(optional): It defines the number of bins in histogram. Default value is 100.

dtype(optional): It defines the dtype of returned histogram. Default value is int32.

name(optional): It defines the name of the operation.

Returns: It returns a Tensor of histogram values.

Example 1:

Python3

# Importing the library 
import tensorflow as tf 
  
# Initializing the input 
nbins = 6
value_range = [0.0, 6.0] 
new_values = [3.0, 0.0, 1.5, 2.0, 5.0, 15] 
  
# Finding histogram values 
hist = tf.histogram_fixed_width(new_values, value_range, nbins) 
  
# Printing the result 
print("res: ", hist.numpy()) 

Output:


res:  [1 1 1 1 0 2]

Example 2:

Python3

# Importing the library 
import tensorflow as tf 
  
# Initializing the input 
nbins = 6
value_range = [0.0, 4.0] 
new_values = [3.0, 0.0, 1.5, 2.0, 5.0, 1.0] 
  
# Finding histogram values 
hist = tf.histogram_fixed_width(new_values, value_range, nbins) 
  
# Printing the result 
print("res: ", hist.numpy()) 