1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
|
#!/usr/bin/python
# coding=utf-8
from __future__ import division
from array import array
from numpy import *
import matplotlib
# Rsplit_surface.py
#
# Plot Rsplit as a contour map
#
# Copyright © 2013 Fedor Chervinskii
#
# Authors:
# 2013 Fedor Chervinskii <fedor.chervinskii@gmail.com>
#
# This file is part of CrystFEL.
#
# CrystFEL is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# CrystFEL is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with CrystFEL. If not, see <http://www.gnu.org/licenses/>.
"""there could be problems with dependencies, in this case, """
#matplotlib.use('PS')
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.mlab import griddata
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
import sys
plt.rc('text', usetex=True)
plt.rc('font', family='serif')
data_name = sys.argv[1]
Nfile = open('N.dat', 'r')
line = array(Nfile.readlines())[0]
N0 = eval(line.split()[0])
steps = arange(1, 10)
verts = []
for i in steps :
filename='rsplit'+str(i)+'.dat'
file = open(filename, 'r')
lines = array(file.readlines())
N = lines.size
for j in range(1, N) :
numbers = lines[j].split()
if 0 < eval(numbers[1]) <= 100 : verts.append((eval(numbers[0]),i,eval(numbers[1])))
x, y, z = zip(*verts)
fig = plt.figure()
ax = host_subplot(111, axes_class=AA.Axes)
X = arange(1, 5, 0.05)
Y = arange(0, 10, 0.1)
X, Y = meshgrid(X, Y)
Z = griddata(x,y,z,X,Y)
cm = ax.pcolormesh(X, Y, Z, cmap = plt.get_cmap('spectral'), vmin=0, vmax=100)
plt.title(r"$R_{split}$ surface for %s data $N_0$ = %d" % (data_name, N0), fontsize=16)
ax.set_xlabel(r"1/d / nm^-1", fontsize=16)
ax.set_ylabel(r"Number of patterns", fontsize=16)
ypoints = [50000,40000,30000,20000,10000,9000,8000,7000,6000,5000,4000,3000,2000,1000,900,800,700,600,500,400,300,200,100]
temp = []
for ypoint in ypoints : temp.append(N0/ypoint)
ax.set_yticks(log2(temp)+1)
labels = []
for ypoint in ypoints :
if ypoint in [50000,10000,5000,1000,500] : labels.append(str(ypoint))
else : labels.append("")
ax.set_yticklabels(labels)
ax.set_ylim(log2(temp[0])+1,log2(temp[-1])+1)
fig.colorbar(cm, shrink=0.5, aspect=10)
plt.savefig(data_name[:-7] + '.png')
#plt.savefig(data_name[:-7] + '.ps')
plt.show()
|
