tf.histogram_fixed_width

Return histogram of values.

View aliases

Compat aliases for migration

tf.compat.v1.histogram_fixed_width

tf.histogram_fixed_width(
    values, value_range, nbins=100, dtype=tf.dtypes.int32, name=None
)

Given the tensor values, this operation returns a rank 1 histogram counting the number of entries in values that fell into every bin. The bins are equal width and determined by the arguments value_range and nbins.

Args
`values`	Numeric `Tensor`.
`value_range`	Shape [2] `Tensor` of same `dtype` as `values`. values <= value_range[0] will be mapped to hist[0], values >= value_range[1] will be mapped to hist[-1].
`nbins`	Scalar `int32 Tensor`. Number of histogram bins.
`dtype`	dtype for returned histogram.
`name`	A name for this operation (defaults to 'histogram_fixed_width').

Returns
A 1-D `Tensor` holding histogram of values.

Raises
`TypeError`	If any unsupported dtype is provided.
`tf.errors.InvalidArgumentError`	If value_range does not satisfy value_range[0] < value_range[1].

Examples:

# Bins will be:  (-inf, 1), [1, 2), [2, 3), [3, 4), [4, inf)

nbins = 5
value_range = [0.0, 5.0]
new_values = [-1.0, 0.0, 1.5, 2.0, 5.0, 15]
hist = tf.histogram_fixed_width(new_values, value_range, nbins=5)
hist.numpy()
array([2, 1, 1, 0, 2], dtype=int32)

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/histogram_fixed_width