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Commit 6255c96a authored by Stephan Thober's avatar Stephan Thober

added post_proc folder

- moved plotting scripts for variograms to post_proc folder
- removed dependency on ufz library from variogram plotting script
parent c811f359
This diff is collapsed.
......@@ -8,7 +8,8 @@
#
import numpy as np
import matplotlib as mpl
import ufz
from fread import fread
from position import position
# -------------------------------------------------------------------------
# Command line arguments
......@@ -21,7 +22,7 @@ parser = optparse.OptionParser(usage='%prog [options]',
description="Plotting of SMI for drought monitor.")
parser.add_option('-i', '--infile', action='store', dest='infile', type='string',
default=infile, metavar='File',
help='Name of NetCDF input file (no default).')
help='Name of variogram file written by EDK (no default).')
parser.add_option('-p', '--pdffile', action='store', dest='pdffile', type='string',
default=pdffile, metavar='File',
help='Name of pdf output file (default: open X-window).')
......@@ -130,26 +131,26 @@ mpl.rc('text.latex', unicode=True)
##############################################################################################
if (outtype == 'pdf'):
print 'Plot PDF ', pdffile
print('Plot PDF ', pdffile)
pdf_pages = PdfPages(pdffile)
elif (outtype == 'png'):
print('Plot PNG ', pngbase)
else:
print 'Plot X'
print('Plot X')
figsize = mpl.rcParams['figure.figsize']
ifig = 0
# read variogram data
data = ufz.fread(infile, skip=1)
header = ufz.fread(infile, skip=1, header=True, strarr=True)
data = fread(infile, skip=1)
header = fread(infile, skip=1, header=True, strarr=True)
dist = data[:,np.where(header=='h')[0][0]] / 1000
empvar = data[:,np.where(header=='gamma(h)')[0][0]]
varfit = data[:,np.where(header=='g_cal(h)')[0][0]]
fig = plt.figure(ifig)
ax = fig.add_axes(ufz.position(nrow,ncol, 1, bottom=0.08, top=0.94, left=0.08, right=0.97))
ax = fig.add_axes(position(nrow,ncol, 1, bottom=0.08, top=0.94, left=0.08, right=0.97))
ax.plot(dist,empvar,'+k')
ax.plot(dist,varfit,'k')
......
#!/usr/bin/env python
from __future__ import division, absolute_import, print_function
import numpy as np
__all__ = ['position']
def position(row=1, col=1, num=1,
left=0.125, right=0.9, bottom=0.1, top=0.9,
hspace=0.1, vspace=None, wspace=None,
width=None, height=None,
sortcol=False, golden=False, inversegolden=False,
figsize=(1.,1.)):
"""
Gives positions of subplots.
To be used with add_axes instead of subplot.
All dimensions are fractions of the figure width or height.
Figure and subplot spaces are the same as for figure.subplotparams
except for hspace and vspace, which are halved.
If the figsize keyword is given, a rectangular section of the figure
will be used.
Definition
----------
def position(row=1, col=1, num=1,
left=0.125, right=0.9, bottom=0.1, top=0.9,
hspace=0.1, vspace=None, wspace=None,
width=None, height=None,
sortcol=False, golden=False, inversegolden=False,
figsize=(1.,1.)):
Optional Input
--------------
row number of subplot rows (default 1)
col number of subplot columns (default 1)
num subplot number (default 1)
left left border of plot (default 0.125)
right right border of plot (default 0.9)
bottom bottom border of plot (default 0.1)
top top border of plot (default 0.9)
hspace space between columns (default 0.1)
vspace space between rows (default 0.1)
wspace historical, same as vspace; will be overwritten by vspace
width prescribe width of plots (default None)
height prescribe height of plots (default None)
sortcol fill columns then rows (default False)
golden golden ratio of width/height = (1+sqrt(5))/2
(default False)
inversegolden golden ratio of height/width
(overwritten by golden) (default False)
figsize (width, height) of figure as given by e.g.
matplotlib.rcParams['figure.figsize'].
Scales everything to rectangular section
(default (1,1))
Output
------
position array with [left, bottom, width, height)
to be used with fig.add_axes.
Examples
--------
# Use, for example, as follows
# fig1 = figure(1)
# sub1 = fig1.add_axes(position(2,2,1))
# sub2 = fig1.add_axes(position(2,2,2))
# if you want to have a true rectangle
# figsize = matplotlib.rcParams['figure.figsize']
# sub = fig1.add_axes(position(1,1,1,figsize=figsize,left=0.1))
# if you want to have a true golden ratio
# sub = fig1.add_axes(position(1,1,1,figsize=figsize,golden=True))
# Doctest examples
>>> from autostring import astr
>>> print(astr(position(2,2,1),3,pp=True))
['0.125' '0.550' '0.338' '0.350']
>>> print(astr(position(2,2,1,sortcol=True),3,pp=True))
['0.125' '0.550' '0.338' '0.350']
>>> print(astr(position(2,2,1,golden=True),3,pp=True))
['0.125' '0.409' '0.338' '0.209']
>>> print(astr(position(2,2,1,inversegolden=True),3,pp=True))
['0.125' '0.550' '0.216' '0.350']
>>> print(astr(position(2,2,1,golden=True,sortcol=True),3,pp=True))
['0.125' '0.409' '0.338' '0.209']
>>> print(astr(position(2,2,1,top=1.,bottom=0.,left=0.,right=1.,hspace=0.,vspace=0.),3,pp=True))
['0.000' '0.500' '0.500' '0.500']
>>> print(astr(position(2,2,2,top=1.,bottom=0.,left=0.,right=1.,hspace=0.,vspace=0.),3,pp=True))
['0.500' '0.500' '0.500' '0.500']
>>> print(astr(position(2,2,3,top=1.,bottom=0.,left=0.,right=1.,hspace=0.,vspace=0.),3,pp=True))
['0.000' '0.000' '0.500' '0.500']
>>> print(astr(position(2,2,4,top=1.,bottom=0.,left=0.,right=1.,hspace=0.,vspace=0.),3,pp=True))
['0.500' '0.000' '0.500' '0.500']
>>> print(astr(position(2,2,1,top=1.,bottom=0.,left=0.,right=1.,hspace=0.,vspace=0.,golden=True),3,pp=True))
['0.000' '0.309' '0.500' '0.309']
>>> print(astr(position(2,2,2,top=1.,bottom=0.,left=0.,right=1.,hspace=0.,vspace=0.,golden=True),3,pp=True))
['0.500' '0.309' '0.500' '0.309']
>>> print(astr(position(2,2,3,top=1.,bottom=0.,left=0.,right=1.,hspace=0.,vspace=0.,golden=True),3,pp=True))
['0.000' '0.000' '0.500' '0.309']
>>> print(astr(position(2,2,4,top=1.,bottom=0.,left=0.,right=1.,hspace=0.,vspace=0.,golden=True),3,pp=True))
['0.500' '0.000' '0.500' '0.309']
>>> figsize=[8,11]
>>> print(astr(position(2,2,1,golden=True,sortcol=True,figsize=figsize),3,pp=True))
['0.125' '0.324' '0.338' '0.152']
>>> print(astr(position(2,2,1,figsize=figsize,left=0.1),3,pp=True))
['0.100' '0.427' '0.350' '0.255']
>>> print(astr(position(2,2,1,figsize=figsize,left=0.1,golden=True),3,pp=True))
['0.100' '0.330' '0.350' '0.157']
License
-------
This file is part of the JAMS Python package, distributed under the MIT
License. The JAMS Python package originates from the former UFZ Python library,
Department of Computational Hydrosystems, Helmholtz Centre for Environmental
Research - UFZ, Leipzig, Germany.
Copyright (c) 2009-2016 Matthias Cuntz - mc (at) macu (dot) de
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
History
-------
Written, MC, Aug 2009
Modified, MC, Feb 2013 - ported to Python 3
MC, Jul 2013 - vspace, wspace obsolete
MC, Apr 2014 - assert
ST, Feb 2016 - added height and width
"""
#
# Check
nplots = row*col
assert num <= nplots, 'num > number of plots: '+str(num)+' > '+str(nplots)
assert right-left > 0., 'right > left: '+str(right)+' > '+str(left)
assert top-bottom > 0., 'top < bottom: '+str(top)+' < '+str(bottom)
if vspace != None:
ivspace = vspace
elif wspace != None:
ivspace = wspace
else:
ivspace = 0.1
#
# Scaling to figsize
scalex = figsize[1]/float(max(figsize))
scaley = figsize[0]/float(max(figsize))
#
# width, height
if width is None:
dx = (right-left-(col-1)*hspace)/col
else:
dx = width
if height is None:
dy = (top-bottom-(row-1)*ivspace)/row
else:
dy = height
#
# golden ratio
ratio = (1.+np.sqrt(5.))/2.
if golden:
width = dx
height = dx / ratio
checkheight = (top-bottom-row*height) - (row-1)*ivspace
if checkheight < 0.:
height = dy
width = dy * ratio
checkwidth = (right-left-col*width) - (col-1)*hspace
if checkwidth < 0.:
raise ValueError('golden ratio does not work. Have to recode.')
else:
if inversegolden:
height = dy
width = dy / ratio
checkwidth = (right-left-col*width) - (col-1)*hspace
if checkwidth < 0.:
width = dx
height = dx * ratio
checkheight = (top-bottom-row*height) - (row-1)*ivspace
if checkheight < 0.:
raise ValueError('inverse golden ratio does not work. Have to recode.')
else:
width = dx
height = dy
#
# order row/colmn, column/row
if sortcol:
irow = (num-1) % row
icol = (num-1) // row
else:
irow = (num-1) // col
icol = (num-1) % col
#
# position
pos = np.empty(4)
pos[0] = left + icol*(width+hspace) *scalex
pos[1] = bottom + (row-1-irow)*(height+ivspace) *scaley
pos[2] = width *scalex
pos[3] = height *scaley
#
return pos
if __name__ == '__main__':
import doctest
doctest.testmod(optionflags=doctest.NORMALIZE_WHITESPACE)
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