Python – histogram_fixed_width_bins()

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())

Output:

res:  [4 0 2 3 5 1]