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())
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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())
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Output:
res: [1 1 1 1 1 1]