HistogramVectorPostprocessor

Short Description

Compute a histogram for each column of a VectorPostprocessor

Description

Used to compute the histogram for all columns of another VectorPostprocessor (VPP). The only inputs are the other VPP (vpp) and the number of bins to use in the histogram (num_bins).

This will actually generate three columns for each column in the original VPP:

• column_name: The histogram data

• column_name_lower: The lower bound for each bin

• column_name_upper: The upper bound for each bin

Plotting

MOOSE comes with built-in plotting capabilities that can help plot the output of a HistogramVectorPostprocessor. These plotting capabilities are part of the Chigger suite of visualization tools located in the moose/python directory. To use them you must add the full path of your moose/python directory to the environment variable called $PYTHONPATH using something like:

export PYTHONPATH=/full/path/to/moose/python:$PYTHONPATH

Once that is completed a script such as the following will plot your data:

import matplotlib.pyplot as plt
import mooseutils

# Create Figure and Axes
figure = plt.figure(facecolor='white')
axes0 = figure.add_subplot(111)

# Read Postprocessor Data
data = mooseutils.PostprocessorReader('histogram_vector_postprocessor_out_histo_0001.csv')

# Grab upper and lower bin bounds
lower = data('value_lower')
upper = data('value_upper')

# Compute the midpoint and width of each bin
mid = (lower + upper) / 2.0
width = upper - lower

# Grab the data to be plotted
y = data('value')

# Plot everything
axes0.bar(mid, y, width=width)

# Show the plot and save it
plt.show()
figure.savefig("output.pdf")

Input Parameters

References