POD/plot_POD_mode_z.py at master · luzyPer/POD · GitHub

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
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.patches as patches

# cm inch transfer for matplotlib
def cm2inch(*tupl):
    inch = 2.54
    return tuple(i/inch for i in tupl)

# figure and axes parameters
# total width is fixed, for one column plot

## manuscript
#plot_width    = 9.0
#margin_left   = 1.5
#margin_right  = 0.1
#margin_bottom = 1.2
#margin_top    = 0.2
#space_width   = 1.0
#space_height  = 0.5
#ftsize        = 9

# slides
plot_width    = 9.0
margin_left   = 2.2
margin_right  = 0.4
margin_bottom = 1.8
margin_top    = 0.2
space_width   = 1.0
space_height  = 0.5
ftsize        = 20

font = {'family':'serif',
        'weight':'normal',
        'size':ftsize}

# use TEX for interpreter
plt.rc('text',usetex=True)
plt.rc('text.latex', preamble=[r'\usepackage{amsmath}',r'\usepackage{bm}'])
# use serif font
plt.rc('font',**font)

num_cols = 1
num_rows = 1

subplot_width = (plot_width
                -margin_left
                -margin_right
                -(num_cols-1)*space_width)/num_cols
subplot_height = subplot_width * 1.0

plot_height = (num_rows*subplot_height
              +margin_bottom
              +margin_top
              +(num_rows-1)*space_height)

###############################################################################

mode = 1
# resolution set in paraview
resolution = 1000

for z in np.arange(-35.,60.,10.):
    filename = 'cut_z{0:g}_Mode.{1:d}.csv'.format(z,mode)

    data = np.genfromtxt( filename, names = True, delimiter=',' )

    for i in range(3):
        fig, ax = plt.subplots(num_rows,num_cols,
                               figsize=cm2inch(plot_width,plot_height))

        if z < 40 and z > 0:
            r = (13.6+14.4*z/40)/1000
        elif z >= 40:
            r = 0.04
        else:
            r = 0.0136

        patch = patches.Circle((0,0), radius=r, facecolor='none')

        ax.add_patch(patch)

        ax.imshow(data['U{:d}'.format(i)].reshape((resolution, resolution)),
                   extent=[data['Points0'].min(),
                           data['Points0'].max(),
                           data['Points1'].min(),
                           data['Points1'].max()],
                   cmap='seismic',
                   origin='lower',
                   aspect='auto',
                   clip_path=patch,
                   clip_on=True,
                  )

        if r < 0:
            circle = plt.Circle((0,0), 0.0022, color='w')
            ax.add_artist(circle)

        ax.set_xticks(np.linspace(-0.04,0.04,num=5))
        ax.set_yticks(np.linspace(-0.04,0.04,num=5))

        ax.set_xticklabels(np.linspace(-40,40,num=5,dtype=int))
        ax.set_yticklabels(np.linspace(-40,40,num=5,dtype=int))

        ax.set_xlabel('$x\;(\mathrm{mm})$')
        ax.set_ylabel('$y\;(\mathrm{mm})$')

        fig.subplots_adjust(
                left = margin_left/plot_width,
                bottom = margin_bottom/plot_height,
                right = 1.0-margin_right/plot_width,
                top = 1.0-margin_top/plot_height,
                wspace = space_width/subplot_width,
                hspace = space_height/subplot_height
                )

        fig.savefig('fig_POD_mode{0:d}_z{1:d}_U{2:d}.eps'.format(mode,int(z),i))
        fig.savefig('fig_POD_mode{0:d}_z{1:d}_U{2:d}.png'.format(mode,int(z),i))

        plt.close()