pythonStagYY/06.plot_field.py at main · chingchenn/pythonStagYY · GitHub

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 15 15:54:16 2023

@author: chingchen
"""

import stagpy
import numpy as np
from stagpy import field
from stagpy import stagyydata
import matplotlib.pyplot as plt
model = 'kvar_a0101'
# model = 'h13'
path = '/Users/chingchen/Desktop/data/'
# path = '/lfs/jiching/ScalingLaw_model/23summer/'
#path = '/lfs/jiching/thermo_chemical/'
path = '/lfs/jiching/thermal_conductivity/'
# path = '/Users/chingchen/Desktop/model/'
# figpath = '/Users/chingchen/Desktop/figure/'
figpath = '/lfs/jiching/figure/'

data = stagyydata.StagyyData(path+model)
plotting_3field = 0
plotting_Tv = 0
plotting_T = 0
plotting_bs = 0
plotting_prim = 1
gif = 1
mp4 = 1
end = 300
if plotting_3field:
    for shot in range(end-2,end):
        kk1,kk2,kk3,kk4 = field.get_meshes_fld(data.snaps[shot],'T')
        bs1,bs2,bs3,bs4 = field.get_meshes_fld(data.snaps[shot],'bs')
        prim1,prim2,prim3,prim4 = field.get_meshes_fld(data.snaps[shot],'prim')

        kk1 = np.concatenate((kk1, kk1[:1]), axis=0)
        kk2 = np.concatenate((kk2, kk2[:1]), axis=0)
        newline = (kk3[:1] + kk3[-1:]) / 2
        kk3 = np.concatenate((kk3, newline), axis=0)
        newline = (bs3[:1] + bs3[-1:]) / 2
        bs3 = np.concatenate((bs3, newline), axis=0)
        newline = (prim3[:1] + prim3[-1:]) / 2
        prim3 = np.concatenate((prim3, newline), axis=0)


        fig,(ax,ax2,ax3) = plt.subplots(1,3,figsize=(12,4))
        ax.set_aspect('equal')
        cmap = plt.cm.get_cmap('RdBu_r')
        colorbar = ax.pcolormesh(kk1,kk2,kk3,cmap = cmap, vmin = 0,vmax = 1)
        ax.axis('off')
        cax = plt.axes([0.165, 0.05, 0.15, 0.05])
        cc1=fig.colorbar(colorbar, ax=ax,cax=cax,orientation='horizontal')
        cc1.ax.tick_params(labelsize=20)
        cc1.set_label(label='Temperature', size=25)
        cc1.ax.yaxis.set_label_position('left')
        ax.set_title(model+' at time '+str(shot/1000),fontsize = 26)
        ax2.set_aspect('equal')
        cmap = plt.cm.get_cmap('RdBu_r')
        colorbar = ax2.pcolormesh(kk1,kk2,bs3,cmap = cmap, vmin = 0,vmax = 1)
        ax2.axis('off')
        cax = plt.axes([0.445, 0.05, 0.15, 0.05])
        cc2=fig.colorbar(colorbar, ax=ax2,cax=cax,orientation='horizontal')
        cc2.ax.tick_params(labelsize=20)
        cc2.set_label(label='Basalt', size=25)
        ax3.set_aspect('equal')
        cmap = plt.cm.get_cmap('RdBu_r')
        colorbar = ax3.pcolormesh(kk1,kk2,prim3,cmap = cmap, vmin = 0,vmax = 1)
        ax3.axis('off')
        cax = plt.axes([0.72, 0.05, 0.15, 0.05])
        cc3=fig.colorbar(colorbar, ax=ax3,cax=cax,orientation='horizontal')
        cc3.set_label(label='Primordial Material', size=25)
        cc3.ax.tick_params(labelsize=20)
        fig.savefig(figpath+model+'_'+'snapshot_'+str(shot)+'_3field.png')
        fig.gca()
        plt.close(fig)
if plotting_Tv:
    print('plotting')
    for shot in range(1,end):
        kk1,kk2,kk3,kk4 = field.get_meshes_fld(data.snaps[shot],'T')
        eta1,eta2,eta3,eta4 = field.get_meshes_fld(data.snaps[shot],'eta')

        fig,(ax,ax2) = plt.subplots(1,2,figsize=(8,5))
        ax.set_aspect('equal')
        cmap = plt.cm.get_cmap('RdBu_r')
        colorbar = ax.pcolormesh(kk1,kk2,kk3,cmap = cmap, vmin = 0,vmax = 1)
        ax.axis('off')
        cax = plt.axes([0.157, 0.15, 0.3, 0.05])
        cc1=fig.colorbar(colorbar, ax=ax,cax=cax,orientation='horizontal')
        cc1.ax.tick_params(labelsize=15)
        cc1.set_label(label='Temperature', size=15)
        cc1.ax.yaxis.set_label_position('left')
        ax.set_title(model+' at time '+str(shot/1000),fontsize = 26)
        ax2.set_aspect('equal')
        cmap = plt.cm.get_cmap('rainbow')
        colorbar = ax2.pcolormesh(kk1,kk2,np.log10(eta3),cmap = cmap, vmin = -2.5,vmax = 2.5)
        ax2.axis('off')
        cax = plt.axes([0.585, 0.15, 0.30, 0.05])
        cc2=fig.colorbar(colorbar, ax=ax2,cax=cax,orientation='horizontal')
        cc2.ax.tick_params(labelsize=15)
        cc2.set_label(label='Viscosity', size=15)

        fig.savefig(figpath+model+'_'+'snapshot_'+str(shot)+'_field.png')
        fig.gca()
        plt.close(fig)

if plotting_T:
    for shot in range(1,end):
        kk1,kk2,kk3,kk4 = field.get_meshes_fld(data.snaps[shot],'T')
        ### Cause the mesh lack one column,
        ### need to concatenate it for xmesh, ymseh and field
        kk1 = np.concatenate((kk1, kk1[:1]), axis=0)
        kk2 = np.concatenate((kk2, kk2[:1]), axis=0)
        newline = (kk3[:1] + kk3[-1:]) / 2
        kk3 = np.concatenate((kk3, newline), axis=0)

        # normalized the field to [0-1]
        #nor_kk3=(kk3-np.min(kk3))/(np.max(kk3)-np.min(kk3))

        ### plot begin
        fig,(ax) = plt.subplots(1,figsize=(13,13))
        ax.set_aspect('equal')
        cmap = plt.cm.get_cmap('RdBu_r')
        colorbar = ax.pcolormesh(kk1,kk2,kk3,cmap = cmap, vmin = 0,vmax = 1)
        ax.axis('off')
        ax.set_title(model+' at time '+str(shot/1000),fontsize = 12)
        cax = plt.axes([0.93, 0.285, 0.01, 0.431])
        cbar = plt.colorbar(colorbar, cax=cax)
        cbar.set_label(label = 'Temperature',size=12)

        fig.savefig(figpath+model+'_'+'temperature_snapshot_'+str(shot)+'_field.png')
        print('save figure '+model+'_'+'temperature_snapshot_'+str(shot)+'_field.png')
        fig.gca()
        plt.close(fig)

if plotting_bs:
    for shot in range(1,end):
        kk1,kk2,kk3,kk4 = field.get_meshes_fld(data.snaps[shot],'bs')
        ### Cause the mesh lack one column,
        ### need to concatenate it for xmesh, ymseh and field
        kk1 = np.concatenate((kk1, kk1[:1]), axis=0)
        kk2 = np.concatenate((kk2, kk2[:1]), axis=0)
        newline = (kk3[:1] + kk3[-1:]) / 2
        kk3 = np.concatenate((kk3, newline), axis=0)

        # normalized the field to [0-1]
        nor_kk3=(kk3-np.min(kk3))/(np.max(kk3)-np.min(kk3))

        ### plot begin
        fig,(ax) = plt.subplots(1,figsize=(13,13))
        ax.set_aspect('equal')
        cmap = plt.cm.get_cmap('RdBu_r')
        colorbar = ax.pcolormesh(kk1,kk2,nor_kk3,cmap = cmap, vmin = 0,vmax = 1)
        ax.axis('off')
        ax.set_title(model+' at time '+str(shot/1000),fontsize = 12)
        cax = plt.axes([0.93, 0.285, 0.01, 0.431])
        cbar = plt.colorbar(colorbar, cax=cax)
        cbar.set_label(label = 'Basalt',size=12)

        fig.savefig(figpath+model+'_'+'basalt_snapshot_'+str(shot)+'_field.png')
        print('save figure '+model+'_'+'basalt_snapshot_'+str(shot)+'_field.png')
        fig.gca()
        plt.close(fig)

if plotting_prim:
    for shot in range(1,end):
        kk1,kk2,kk3,kk4 = field.get_meshes_fld(data.snaps[shot],'prim')
        ### Cause the mesh lack one column,
        ### need to concatenate it for xmesh, ymseh and field
        kk1 = np.concatenate((kk1, kk1[:1]), axis=0)
        kk2 = np.concatenate((kk2, kk2[:1]), axis=0)
        newline = (kk3[:1] + kk3[-1:]) / 2
        kk3 = np.concatenate((kk3, newline), axis=0)

        # normalized the field to [0-1]
        nor_kk3=(kk3-np.min(kk3))/(np.max(kk3)-np.min(kk3))

        ### plot begin
        fig,(ax) = plt.subplots(1,figsize=(13,13))
        ax.set_aspect('equal')
        cmap = plt.cm.get_cmap('RdBu_r')
        colorbar = ax.pcolormesh(kk1,kk2,nor_kk3,cmap = cmap, vmin = 0,vmax = 1)
        ax.axis('off')
        ax.set_title(model+' at time '+str(shot/1000),fontsize = 12)
        cax = plt.axes([0.93, 0.285, 0.01, 0.431])
        cbar = plt.colorbar(colorbar, cax=cax)
        cbar.set_label(label = 'Primordial Material',size=12)

        fig.savefig(figpath+model+'_'+'primordial_snapshot_'+str(shot)+'_field.png')
        print('save figure '+model+'_'+'primordial_snapshot_'+str(shot)+'_field.png')
        fig.gca()
        plt.close(fig)
#-----------------------------creat GIF-----------------------------------------
if gif:
    from PIL import Image

    frames = []
    for shot in  range(1,end):
        img=figpath+model+'_'+'temperature_snapshot_'+str(shot)+'_field.png'
        new_frame = Image.open(img)
        frames.append(new_frame)
    frames[0].save(figpath+'temperature_png2gif.gif', format='GIF', append_images=frames[1:],
                   save_all=True, duration=40, loop=0)
#    frames = []
#    for shot in  range(1,end):
#        img=figpath+model+'_'+'basalt_snapshot_'+str(shot)+'_field.png'
#        new_frame = Image.open(img)
#        frames.append(new_frame)
#    frames[0].save(figpath+'basalt_png2gif.gif', format='GIF', append_images=frames[1:],
#                  save_all=True, duration=40, loop=0)
    frames = []
    for shot in  range(1,end):
        img=figpath+model+'_'+'primordial_snapshot_'+str(shot)+'_field.png'
        new_frame = Image.open(img)
        frames.append(new_frame)
    frames[0].save(figpath+'primordial_png2gif.gif', format='GIF', append_images=frames[1:],
                   save_all=True, duration=40, loop=0)

#    for shot in  range(1,2001,5):
#        img=figpath+model+'_'+'snapshot_'+str(shot)+'_3field.png'
#        new_frame = Image.open(img)
#        frames.append(new_frame)
#    frames[0].save(figpath+'png_to_gif4.gif', format='GIF', append_images=frames[1:],
#                   save_all=True, duration=40, loop=0)


#-----------------------------creat mp4-----------------------------------------
if mp4:
    import moviepy.editor as mp
    clip = mp.VideoFileClip(figpath+'temperature_png2gif.gif')
    clip.write_videofile(figpath+'temperature_field_'+model+".mp4")
#    clip = mp.VideoFileClip(figpath+'basalt_png2gif.gif')
#    clip.write_videofile(figpath+'basalt_field_'+model+".mp4")
    clip = mp.VideoFileClip(figpath+'primordial_png2gif.gif')
    clip.write_videofile(figpath+'primordial_field_'+model+".mp4")
#     clip = mp.VideoFileClip(figpath+'png_to_gif4.gif')
#     clip.write_videofile(figpath+'3fieldStagYY'+model+".mp4")