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 = 6value_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 = 6value_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]
