I've started with a data file consisting of one number per line, wide
distribution of values. I've created a histogram out of it, showing the
frequency of occurrence of values in about 200 bins. Even managed to do
a log xscale.
#
import matplotlib.pyplot as plt
impor
Hi,
this is my best result... figure is acceptable when I use a lot of points...
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import matplotlib
import matplotlib.art3d
import matplotlib.axes3d
import pylab
if __name__ == "__main__":
data_filename = ...
# We load data
#
#
Hi,
I would like to generate (or simulate) 3D histogram... How I can do this with
matplotlib/pylab (if I can) ?
I tried different ways :
- 2D histogram in 3D but the result is not usable for me (because I have lot
of small bars)
- generation of bars with, for each bar, 5 Polygons but I didn't
