Python regression.run函数代码示例

       'w20', 'w21', 'w22', 'w23', 'w24', 'w25', 'w26', 'w27', 'w28', 'w29',
       'w30', 'w31', 'w32', 'w33', 'w34', 'w35', 'w36', 'w37', 'w38', 'w39',
       'w40', 'w41', 'w42', 'w43', 'w44', 'w45', 'w46', 'w47', 'w48', 'w49',
       'w50', 'w51', 'w52', 'w53', 'w54', 'w55', 'w56', 'w57', 'w58', 'w59',
       'w60', 'w61', 'w62', 'w63', 'w64', 'w65', 'w66', 'w67', 'w68', 'w69',
       'w70', 'w71', 'w72', 'w73', 'w74', 'w75', 'w76', 'w77', 'w78', 'w79',
       'w80', 'w81', 'w82', 'w83', 'w84', 'w85', 'w86', 'w87', 'w88', 'w89',
       'w90', 'w91', 'w92', 'w93', 'w94', 'w95', 'w96', 'w97', 'w98', 'w99',
       'w100', 'w101', 'w102']

x = regression.init()

m = x.createmarker()
M=7
m.worldcoordinate=[0,M,0,M]
m.type = wmo
m.color=[242,]
m.size=[10.,]
xs = []
ys=[]
for Y in range(7):
  for X in range(15):
    ys.append([M-M*(Y+1)/8.,])
    xs.append([M*(X+1)/16.,])
m.x = xs
m.y = ys
m.list()
x.plot(m, bg=1)
regression.run(x, "wmo_markers.png");

for i in range(12):
    cont_index = i % 6 + 1
    cont_line = vcs.createline()
    cont_line.width = i % 3 + 1
    cont_line.type = line_styles[i % 5]
    print "Cont_line_rtype:",line_styles[i % 5]
    cont_line.color = i + 200
    template = multitemplate.get(i)
    if cont_index != 3 and i != 4 and i != 11:
        canvas.plot(clt, template, boxfill, continents=cont_index, continents_line=cont_line, bg=1)
    elif cont_index == 3:
        canvas.setcontinentsline(cont_line)
        canvas.setcontinentstype(3)
        canvas.plot(clt, template, boxfill, bg=1)
    elif i == 4:
        canvas.setcontinentstype(0)
        # Make sure absolute path works
        path = os.path.join(vcs.prefix, "share", "vcs", "data_continent_political")
        canvas.plot(clt, template, boxfill, continents=path, continents_line=cont_line, bg=1)
    elif i == 11:
        # Make sure the dotdirectory other* works
        dotdir = vcs.getdotdirectory()
        current_dotdir = os.environ.get(dotdir[1], dotdir[0])
        os.environ["UVCDAT_DIR"] = os.path.join(vcs.prefix, "share", "vcs")
        # Should pick up the other7 continents
        canvas.plot(clt, template, boxfill, continents=7, continents_line=cont_line, bg=1)
        os.environ["UVCDAT_DIR"] = current_dotdir

regression.run(canvas, "test_continents.png")

import os, sys, numpy, cdms2, MV2, vcs, vcs.testing.regression as regression

x = regression.init()
t = cdms2.createAxis(numpy.arange(120))
t.designateTime()
t.id = "time"
t.units = "months since 2014"
data = MV2.arange(120,0,-1)
data.id = "data"
data.setAxis(0,t)
x = regression.init()
x.plot(data,bg=1)
fnm = 'test_vcs_monotonic_decreasing_yxvsx_default.png'
regression.run(x, fnm)

import os, sys, cdms2, vcs, vcs.testing.regression as regression

dataset = cdms2.open(os.path.join(vcs.sample_data, "clt.nc"))
data = dataset("clt")
canvas = regression.init()

isoline = canvas.createisoline()
isoline.label = "y"
isoline.labelskipdistance = 15.0
texts = []
colors = []
for i in range(10):
    text = canvas.createtext()
    text.color = 20 * i
    text.height = 12
    colors.append(255 - text.color)
    if i % 2 == 0:
        texts.append(text.name)
    else:
        texts.append(text)
isoline.text = texts
isoline.linecolors = colors

# Next plot the isolines with labels
canvas.plot(data, isoline, bg=1)
regression.run(canvas, "test_vcs_isoline_labelskipdistance.png")

import os, sys, cdms2, vcs, vcs.testing.regression as regression

f = cdms2.open(os.path.join(vcs.sample_data, "clt.nc"))
s = f("clt")
x = regression.init()
iso = x.createisofill()
p = x.createprojection()
p.type = "lambert"
iso.projection = p
x.plot(s(latitude=(20, 60), longitude=(-140, -20)), iso, bg=True)
regression.run(x, "test_vcs_lambert.png")

import vcs, numpy, cdms2, MV2, os, sys, vcs.testing.regression as regression

x = regression.init()
f=cdms2.open(os.path.join(vcs.sample_data,"ta_ncep_87-6-88-4.nc"))
vr = "ta"
s=f(vr,slice(0,1),longitude=slice(90,91),squeeze=1)
x.plot(s,bg=1)
regression.run(x, 'test_vcs_flipY.png')

import os, sys, numpy, cdms2, MV2, vcs, vcs.testing.regression as regression

x = regression.init()
f = cdms2.open(os.path.join(vcs.sample_data, "clt.nc"))
s = f("clt")
box = x.createboxfill()

# Should ignore the string here
box.xmtics1 = {i:"Test" for i in range(-180, 180, 15) if i % 30 != 0}
box.ymtics1 = {i:"Test" for i in range(-90, 90, 5) if i % 10 != 0}
box.xmtics2 = "lon15"
box.ymtics2 = "lat5"
template = x.createtemplate()
template.xmintic1.priority = 1
template.ymintic1.priority = 1
template.xmintic2.priority = 1
template.xmintic2.y2 += template.xmintic1.y1 - template.xmintic1.y2
template.ymintic2.priority = 1
x.plot(s, template, box, bg=1)
regression.run(x, "test_vcs_mintics.png")

import cdms2
import os
import sys
import vcs.testing.regression as regression
import vcs
import numpy

data = sys.argv[2]
level = sys.argv[3]
levels = {'0': range(-5,36,5),
          '1': [-1000, -15, 35],
          '2': [-300, -15, 0, 15, 25],
          '3': range(190, 320, 10)}

x=regression.init(bg=1)
f=cdms2.open(data)
if (level == '3'):
    s=f("test")
else:
    s=f("sst")
iso=x.createisofill()
iso.levels=levels[level]
x.plot(s,iso)
regression.run(x, "test_vcs_isofill_level%s.png"%level)

import os, sys, cdms2, vcs, vcs.testing.regression as regression

x = regression.init()
x.backgroundcolor = (255, 255, 255)
x.open()
regression.run(x, "test_backgroundcolor_white.png")

import vcs, numpy, cdms2, MV2, os, sys, vcs.testing.regression as regression

x = regression.init()
d = numpy.sin(numpy.arange(100))
b = x.createboxfill()
x.plot(d,b,bg=1)
regression.run(x, "test_1d_in_boxfill.png", sys.argv[1])

import vcs, numpy, os, sys, cdms2, vcs.testing.regression as regression

x=regression.init()
f=cdms2.open(os.path.join(vcs.sample_data,"clt.nc"))
data=f("clt",slice(0,1,))
gm = x.createisoline()
gm.levels = range(0,110,10)
gm.linecolors = ["green","red","blue","bisque","yellow","grey",
        [100,0,0,50], [0,100,0],"salmon",[0,0,100,75]]
x.plot(data,gm,bg=True)
regression.run(x, 'test_vcs_settings_color_name_rgba_isoline.png')

import vcs, numpy, os, sys, cdms2, vcs.testing.regression as regression

x = regression.init()
f=cdms2.open(os.path.join(vcs.sample_data,"clt.nc"))
data=f("clt",slice(0,1,))
gm = x.createboxfill()
gm.boxfill_type = "custom"
gm.levels = range(0,110,10)
gm.fillareacolors = ["green","red","blue","bisque","yellow","grey",
        [100,0,0,50], [0,100,0],"salmon",[0,0,100,75]]
x.plot(data,gm,bg=True)
regression.run(x, 'test_vcs_settings_color_name_rgba_boxfill.png')

import vcs,numpy,cdms2,MV2,os,sys


import vcs.testing.regression as regression
x = regression.init()


m = x.createmarker()
M=1
m.worldcoordinate=[0,M,0,M]
m.type = "w07"
m.color=[242,]
m.size=[1.,2.,5.]
m.x = [[.25,],[.5,],[.75]]
m.y = [.5,]
x.plot(m,bg=1)
fnm = 'wmo_marker.png'
x.png(fnm)

regression.run(x, "wmo_marker.png")

isoline = canvas.createisoline()
isoline.label = "y"
texts = []
colors = []
bcolors = []
bopacities = []
for i in range(10):
    text = canvas.createtext()
    random.seed(i*200)
    text.color = random.randint(1, 255)
    text.height = 12
    random.jumpahead(i * 100)
    colors.append(random.randint(1, 255))
    random.jumpahead(i * 20)
    bcolors.append(random.randint(1, 255))
    bopacities.append(random.randint(0, 100))
    if i % 2 == 0:
        texts.append(text.name)
    else:
        texts.append(text)
isoline.text = texts
isoline.labelbackgroundcolors = bcolors
isoline.labelbackgroundopacities = bopacities
isoline.labelskipdistance = 15.0

# First test using isoline.text[...].color
canvas.plot(data, isoline, bg=1)
baseline = os.path.splitext(sys.argv[1])
baselineImage = "%s%s" % baseline
regression.run(canvas, baselineImage)

import cdms2, os, sys, vcs, vcs.testing.regression as regression

cdmsfile = cdms2.open(os.path.join(vcs.sample_data,"clt.nc"))
data = cdmsfile('clt')
x = regression.init()
t=x.gettemplate('default')
x.plot(data, t, bg=True)

# This should force the image to update
x.setcolormap('blue2darkorange')
regression.run(x, "test_vcs_setcolormap.png")