plot.py 5.64 KB
Newer Older
Martin Reinecke's avatar
Martin Reinecke committed
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
from __future__ import division
import numpy as np
from ..import Field, RGSpace, HPSpace, GLSpace, PowerSpace
import os

# relevant properties:
# - x/y size
# - x/y/z log
# - x/y/z min/max
# - colorbar/colormap
# - axis on/off
# - title
# - axis labels

def _mollweide_helper(xsize):
    xsize = int(xsize)
    ysize = xsize//2
    res = np.full(shape=(ysize, xsize), fill_value=np.nan,
                  dtype=np.float64)
    xc = (xsize-1)*0.5
    yc = (ysize-1)*0.5
    u, v = np.meshgrid(np.arange(xsize), np.arange(ysize))
    u = 2*(u-xc)/(xc/1.02)
    v = (v-yc)/(yc/1.02)

    mask = np.where((u*u*0.25 + v*v) <= 1.)
    t1 = v[mask]
    theta = 0.5*np.pi-(
        np.arcsin(2/np.pi*(np.arcsin(t1) + t1*np.sqrt((1.-t1)*(1+t1)))))
    phi = -0.5*np.pi*u[mask]/np.maximum(np.sqrt((1-t1)*(1+t1)), 1e-6)
    phi = np.where(phi < 0, phi+2*np.pi, phi)
    return res, mask, theta, phi

def _find_closest(A, target):
    # A must be sorted
    idx = A.searchsorted(target)
    idx = np.clip(idx, 1, len(A)-1)
    left = A[idx-1]
    right = A[idx]
    idx -= target - left < right - target
    return idx

def _makeplot(name):
44
    import matplotlib.pyplot as plt
Martin Reinecke's avatar
Martin Reinecke committed
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
    if name is None:
        plt.show()
        return
    extension = os.path.splitext(name)[1]
    if extension==".pdf":
        plt.savefig(name)
        plt.close()
    elif extension==".png":
        plt.savefig(name)
        plt.close()
    #elif extension==".html":
        #import mpld3
        #mpld3.save_html(plt.gcf(),fileobj=name,no_extras=True)
        #import plotly.offline as py
        #import plotly.tools as tls
        #plotly_fig = tls.mpl_to_plotly(plt.gcf())
        #py.plot(plotly_fig,filename=name)
        #py.plot_mpl(plt.gcf(),filename=name)
        #import bokeh
        #bokeh.mpl.to_bokeh(plt.gcf())
    else:
        raise ValueError("file format not understood")

Martin Reinecke's avatar
Martin Reinecke committed
68
69
70
71
72
73
74
75
76
77
78
79
80
81
def _limit_xy(**kwargs):
    import matplotlib.pyplot as plt
    x1,x2,y1,y2 = plt.axis()
    if (kwargs.get("xmin")) is not None:
        x1 = kwargs.get("xmin")
    if (kwargs.get("xmax")) is not None:
        x2 = kwargs.get("xmax")
    if (kwargs.get("ymin")) is not None:
        y1 = kwargs.get("ymin")
    if (kwargs.get("ymax")) is not None:
        y2 = kwargs.get("ymax")
    plt.axis((x1,x2,y1,y2))

def plot(f,**kwargs):
82
    import matplotlib.pyplot as plt
Martin Reinecke's avatar
Martin Reinecke committed
83
84
85
86
87
88
    if not isinstance(f,Field):
        raise TypeError("incorrect data type")
    if len(f.domain)!=1:
        raise ValueError("input field must have exactly one domain")

    dom = f.domain[0]
Martin Reinecke's avatar
Martin Reinecke committed
89
90
91
92
93
94
95
96
97
    fig = plt.figure()
    ax = fig.add_subplot(1,1,1)

    xsize,ysize = 6,6
    if kwargs.get("xsize") is not None:
        xsize = kwargs.get("xsize")
    if kwargs.get("ysize") is not None:
        ysize = kwargs.get("ysize")
    fig.set_size_inches(xsize,ysize)
Martin Reinecke's avatar
Martin Reinecke committed
98

Martin Reinecke's avatar
Martin Reinecke committed
99
100
101
102
103
104
105
106
107
    if kwargs.get("title") is not None:
        ax.set_title(kwargs.get("title"))
    if kwargs.get("xlabel") is not None:
        ax.set_xlabel(kwargs.get("xlabel"))
    if kwargs.get("ylabel") is not None:
        ax.set_ylabel(kwargs.get("ylabel"))
    cmap=plt.rcParams['image.cmap']
    if kwargs.get("colormap") is not None:
        cmap = kwargs.get("colormap")
Martin Reinecke's avatar
Martin Reinecke committed
108
109
110
111
112
113
114
    if isinstance(dom, RGSpace):
        if len(dom.shape)==1:
            npoints = dom.shape[0]
            dist = dom.distances[0]
            xcoord = np.arange(npoints,dtype=np.float64)*dist
            ycoord = f.val
            plt.plot(xcoord, ycoord)
Martin Reinecke's avatar
Martin Reinecke committed
115
116
            _limit_xy(**kwargs)
            _makeplot(kwargs.get("name"))
Martin Reinecke's avatar
Martin Reinecke committed
117
118
119
120
121
122
123
124
            return
        elif len(dom.shape)==2:
            nx = dom.shape[0]
            ny = dom.shape[1]
            dx = dom.distances[0]
            dy = dom.distances[1]
            xc = np.arange(nx,dtype=np.float64)*dx
            yc = np.arange(ny,dtype=np.float64)*dy
Martin Reinecke's avatar
Martin Reinecke committed
125
126
127
128
129
130
131
132
            im=ax.imshow(f.val,extent=[xc[0],xc[-1],yc[0],yc[-1]],vmin=kwargs.get("zmin"),vmax=kwargs.get("zmax"),cmap=cmap)
            #from mpl_toolkits.axes_grid1 import make_axes_locatable
            #divider = make_axes_locatable(ax)
            #cax = divider.append_axes("right", size="5%", pad=0.05)
            #plt.colorbar(im,cax=cax)
            plt.colorbar(im)
            _limit_xy(**kwargs)
            _makeplot(kwargs.get("name"))
Martin Reinecke's avatar
Martin Reinecke committed
133
134
135
136
137
138
139
140
            return
    elif isinstance(dom, PowerSpace):
        xcoord = dom.kindex
        ycoord = f.val
        plt.xscale('log')
        plt.yscale('log')
        plt.title('power')
        plt.plot(xcoord, ycoord)
Martin Reinecke's avatar
Martin Reinecke committed
141
142
        _limit_xy(**kwargs)
        _makeplot(kwargs.get("name"))
Martin Reinecke's avatar
Martin Reinecke committed
143
144
145
146
147
148
149
150
151
152
153
154
        return
    elif isinstance(dom, HPSpace):
        import pyHealpix
        xsize = 800
        res, mask, theta, phi = _mollweide_helper(xsize)

        ptg = np.empty((phi.size, 2), dtype=np.float64)
        ptg[:, 0] = theta
        ptg[:, 1] = phi
        base = pyHealpix.Healpix_Base(int(np.sqrt(f.val.size//12)), "RING")
        res[mask] = f.val[base.ang2pix(ptg)]
        plt.axis('off')
Martin Reinecke's avatar
Martin Reinecke committed
155
156
157
        plt.imshow(res,vmin=kwargs.get("zmin"),vmax=kwargs.get("zmax"),cmap=cmap)
        plt.colorbar(orientation="horizontal")
        _makeplot(kwargs.get("name"))
Martin Reinecke's avatar
Martin Reinecke committed
158
159
160
161
162
163
164
165
166
167
168
169
170
        return
    elif isinstance(dom, GLSpace):
        import pyHealpix
        xsize = 800
        res, mask, theta, phi = _mollweide_helper(xsize)
        ra = np.linspace(0, 2*np.pi, dom.nlon+1)
        dec = pyHealpix.GL_thetas(dom.nlat)
        ilat = _find_closest(dec, theta)
        ilon = _find_closest(ra, phi)
        ilon = np.where(ilon == dom.nlon, 0, ilon)
        res[mask] = f.val[ilat*dom.nlon + ilon]

        plt.axis('off')
Martin Reinecke's avatar
Martin Reinecke committed
171
172
173
        plt.imshow(res,vmin=kwargs.get("zmin"),vmax=kwargs.get("zmax"),cmap=cmap)
        plt.colorbar(orientation="horizontal")
        _makeplot(kwargs.get("name"))
Martin Reinecke's avatar
Martin Reinecke committed
174
175
176
        return

    raise ValueError("Field type not(yet) supported")