Python – histogram_fixed_width_bins()

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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_bins() is used to find the indices into which elements would be binned.

Syntax: tensorflow.histogram_fixed_width_bins( 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 indices. 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] 
values = [3.0, 0.0, 1.5, 2.0, 5.0, 15.0] 
  
# Finding histogram values 
indices = tf.histogram_fixed_width_bins(values, value_range, nbins) 
  
# Printing the result 
print("res: ", indices.numpy())

Output:

res:  [3 0 1 2 5 5]

Example 2:

Python3

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