Histograms
[TOC]
Histograms
tf.histogram_fixed_width(values, value_range, nbins=100, dtype=tf.int32, name=None)
Return histogram of values.
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
: NumericTensor
.value_range
: Shape [2]Tensor
. new_values <= value_range[0] will be mapped to hist[0], values >= value_range[1] will be mapped to hist[-1]. Must be same dtype as new_values.nbins
: Scalarint32 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.
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]
with tf.default_session() as sess:
hist = tf.histogram_fixed_width(new_values, value_range, nbins=5)
variables.initialize_all_variables().run()
sess.run(hist) => [2, 1, 1, 0, 2]