本文整理汇总了Python中clawpack.visclaw.data.ClawPlotData.save_frames方法的典型用法代码示例。如果您正苦于以下问题：Python ClawPlotData.save_frames方法的具体用法？Python ClawPlotData.save_frames怎么用？Python ClawPlotData.save_frames使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类clawpack.visclaw.data.ClawPlotData的用法示例。
在下文中一共展示了ClawPlotData.save_frames方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: setplot
# 需要导入模块: from clawpack.visclaw.data import ClawPlotData [as 别名]
# 或者: from clawpack.visclaw.data.ClawPlotData import save_frames [as 别名]
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
import os
import numpy as np
import matplotlib.pyplot as plt
from clawpack.visclaw import geoplot, gaugetools, colormaps
import clawpack.clawutil.data as clawutil
import clawpack.amrclaw.data as amrclaw
import clawpack.geoclaw.data
import clawpack.geoclaw.multilayer.plot as ml_plot
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
from numpy import linspace
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.save_frames = False
# Load data from output
clawdata = clawutil.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir,'claw.data'))
amrdata = amrclaw.AmrclawInputData(clawdata)
amrdata.read(os.path.join(plotdata.outdir,'amr.data'))
geodata = clawpack.geoclaw.data.GeoClawData()
geodata.read(os.path.join(plotdata.outdir,'geoclaw.data'))
multilayer_data = clawpack.geoclaw.data.MultilayerData()
multilayer_data.read(os.path.join(plotdata.outdir,'multilayer.data'))
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos='all', format_string='ko', add_labels=True)
# ========================================================================
# Generic helper functions
# ========================================================================
def pcolor_afteraxes(current_data):
# bathy_ref_lines(current_data)
gauge_locations(current_data)
def contour_afteraxes(current_data):
# gauge_locations(current_data)
# m_to_km_labels()
plt.hold(True)
pos = -80.0 * (23e3 / 180) + 500e3 - 5e3
plt.plot([pos,pos],[-300e3,300e3],'b',[pos-5e3,pos-5e3],[-300e3,300e3],'y')
plt.hold(False)
wind_contours(current_data)
bathy_ref_lines(current_data)
def profile_afteraxes(current_data):
pass
def gauge_locations(current_data,gaugenos='all'):
plt.hold(True)
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos=gaugenos, format_string='kx', add_labels=True)
plt.hold(False)
# ========================================================================
# Axis limits
# xlimits = [amrdata.xlower,amrdata.xupper]
xlimits = [-100.0, 100.0]
# ylimits = [amrdata.ylower,amrdata.yupper]
ylimits = [-100.0, 100.0]
eta = [multilayer_data.eta[0],multilayer_data.eta[1]]
top_surface_limits = [eta[0]-10,eta[0]+10]
internal_surface_limits = [eta[1]-5,eta[1]+5]
depth_limits = [0.0, 0.4]
top_speed_limits = [0.0,0.1]
internal_speed_limits = [0.0,0.03]
# ========================================================================
# Surface Elevations
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
plotfigure.show = True
#.........这里部分代码省略.........