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 = 6value_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 = 6value_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]
