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Python – tensorflow.histogram_fixed_width()

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  • Last Updated : 28 Jul, 2020

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())


Output:


res:  [1 1 1 1 1 1]


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