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plotGamma100.py
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plotGamma100.py
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# Julien K.L. Brillon
# Purdue University
#-----------------------------------------------------
# Import libraries
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
from matplotlib import rc as matplotlibrc
matplotlibrc('text.latex', preamble='\usepackage{color}')
matplotlibrc('text',usetex=True)
matplotlibrc('font', family='serif')
#-----------------------------------------------------
from var import *
#-----------------------------------------------------
# Plot parameters
#-----------------------------------------------------
clr = ['b','r','g','tab:purple','c','k','y']
mrkr = ['s','o','^','v','>','<','d']
#-----------------------------------------------------
# Common
#-----------------------------------------------------
xlimits = [-1,80]
ylimits = [-7,22]
#-----------------------------------------------------
# Common
#-----------------------------------------------------
# u_mkr_values = [2.0,4.0,8.0,12.0]
u_mkr_values = []
u_mkr_values = np.array(u_mkr_values)
u_mkr_values = list(u_mkr_values)
#-----------------------------------------------------
modes = range(1,Nmodes+1)
names = [None]*Nmodes
for l in range(0,Nmodes):
names[l] = "Mode %i" % modes[l]
subdirectories[0] += 'g100/'
#-----------------------------------------------------
print("---------------------------------------------")
figure_fileName = 'argand_g100_comparison'
figure_title = 'Argand Plot'
print('Plotting: ' + figure_title)
fig, ax = plt.subplots(figsize=(6,6))
plt.grid()
# ax.set_title(figure_title,fontsize=12,fontweight='bold')
ax.set_xlabel(r'Re$(\omega)$',fontsize=14)
ax.set_ylabel(r'Im$(\omega)$',rotation=90,fontsize=14)
ax.set_xlim(xlimits)
ax.set_ylim(ylimits)
ax.axhline(y=0, color='k', linestyle='--')
#-----------------------------------------------------
# Load data -- eps = 0.00
#-----------------------------------------------------
subsubdir = 'eps000/'
data_fileName = 'u_store'
u = np.loadtxt(subdirectories[0]+subsubdir+data_fileName+'.'+data_fileType, unpack=False)
# load complex
data_fileName = 'real_w_store'
real_omega = np.loadtxt(subdirectories[0]+subsubdir+data_fileName+'.'+data_fileType, unpack=False)
data_fileName = 'imag_w_store'
imag_omega = np.loadtxt(subdirectories[0]+subsubdir+data_fileName+'.'+data_fileType, unpack=False)
omega = real_omega + (1.0j)*imag_omega
for i in range(0,3):
ax.plot(np.real(omega[:,i]), np.imag(omega[:,i]),color=clr[i])
# - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Annotate velocities
# - - - - - - - - - - - - - - - - - - - - - - - - - - -
data_fileName = 'u_crit'
u_crit = np.loadtxt(subdirectories[0]+subsubdir+data_fileName+'.'+data_fileType, unpack=False)
u_crit[u_crit==-1.0]=0.0
u_crit_flag = np.zeros((4,5),dtype='int64')
u_crit_flag[np.nonzero(u_crit)] = 1
u_crit = u_crit[np.nonzero(u_crit)]
u_mkrs = list(u_mkr_values)
u_mkrs.extend(list(u_crit))
u_mkrs.sort()
u_crit_index = np.argmin(abs(u_crit-u_mkrs))
u_mkrs_index = []
for i,u_val in enumerate(u_mkrs):
index = np.argmin(abs(np.float64(u_val)-u))
u_mkrs_index.append(index)
u_mkrs_xy = np.zeros((len(u_mkrs_index),2,4),dtype='float64')
for i in range(0,4):
u_mkrs_xy[:,0,i] = np.real(omega[u_mkrs_index,i])
u_mkrs_xy[:,1,i] = np.imag(omega[u_mkrs_index,i])
u_mkrs = np.array(u_mkrs,dtype='float64')
xshifts = 1.03*np.ones((np.size(u_mkrs),4),dtype='float64')
yshifts = 0.9*np.ones((np.size(u_mkrs),4),dtype='float64')
plot_flag = 1
for i in range(0,3):
for k,u_val in enumerate(u_mkrs):
if(k==u_crit_index):
if(u_crit_flag[i,0]!=0):
plot_flag = 1
else:
plot_flag = 0
else:
plot_flag = 1
if(plot_flag != 0):
xloc = xshifts[k,i]*u_mkrs_xy[k,0,i]
yloc = yshifts[k,i]*u_mkrs_xy[k,1,i]
if(((xloc>xlimits[0]) and (xloc<xlimits[1])) and ((yloc>ylimits[0]) and (yloc<ylimits[1]))):
ax.plot(u_mkrs_xy[k,0,i],u_mkrs_xy[k,1,i],color=clr[i],marker='o',markersize=4, mfc=clr[i], linestyle='None')
vel_name = '%.1f' % u_val
t = ax.text(xloc, yloc, vel_name, fontsize=11, fontweight='bold',color=clr[i])
t.set_bbox(dict(boxstyle='square,pad=0',facecolor='white', alpha=0.7 , edgecolor='none'))
# - - - - - - - - - - - - - - - - - - - - - - - - - - -
#-----------------------------------------------------
# Load data -- eps = 0.01
#-----------------------------------------------------
subsubdir = 'eps054/'
data_fileName = 'u_store'
u = np.loadtxt(subdirectories[0]+subsubdir+data_fileName+'.'+data_fileType, unpack=False)
# load complex
data_fileName = 'real_w_store'
real_omega = np.loadtxt(subdirectories[0]+subsubdir+data_fileName+'.'+data_fileType, unpack=False)
data_fileName = 'imag_w_store'
imag_omega = np.loadtxt(subdirectories[0]+subsubdir+data_fileName+'.'+data_fileType, unpack=False)
omega = real_omega + (1.0j)*imag_omega
for i in range(0,3):
ax.plot(np.real(omega[:,i]), np.imag(omega[:,i]),color=clr[i],linestyle='--')
# - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Annotate velocities
# - - - - - - - - - - - - - - - - - - - - - - - - - - -
data_fileName = 'u_crit'
u_crit = np.loadtxt(subdirectories[0]+subsubdir+data_fileName+'.'+data_fileType, unpack=False)
u_crit[u_crit==-1.0]=0.0
u_crit_flag = np.zeros((4,5),dtype='int64')
u_crit_flag[np.nonzero(u_crit)] = 1
u_crit = u_crit[np.nonzero(u_crit)]
u_mkrs = list(u_mkr_values)
u_mkrs.extend(list(u_crit))
u_mkrs.sort()
u_crit_index = np.argmin(abs(u_crit-u_mkrs))
u_mkrs_index = []
for i,u_val in enumerate(u_mkrs):
index = np.argmin(abs(np.float64(u_val)-u))
u_mkrs_index.append(index)
u_mkrs_xy = np.zeros((len(u_mkrs_index),2,4),dtype='float64')
for i in range(0,4):
u_mkrs_xy[:,0,i] = np.real(omega[u_mkrs_index,i])
u_mkrs_xy[:,1,i] = np.imag(omega[u_mkrs_index,i])
u_mkrs = np.array(u_mkrs,dtype='float64')
xshifts = 0.85*np.ones((np.size(u_mkrs),4),dtype='float64')
yshifts = 0.9*np.ones((np.size(u_mkrs),4),dtype='float64')
plot_flag = 1
for i in range(0,3):
for k,u_val in enumerate(u_mkrs):
if(k==u_crit_index):
if(u_crit_flag[i,0]!=0):
plot_flag = 1
else:
plot_flag = 0
else:
plot_flag = 1
if(plot_flag != 0):
xloc = xshifts[k,i]*u_mkrs_xy[k,0,i]
yloc = yshifts[k,i]*u_mkrs_xy[k,1,i]
if(((xloc>xlimits[0]) and (xloc<xlimits[1])) and ((yloc>ylimits[0]) and (yloc<ylimits[1]))):
ax.plot(u_mkrs_xy[k,0,i],u_mkrs_xy[k,1,i],color=clr[i],marker='o',markersize=4, mfc=clr[i], linestyle='None')
vel_name = '%.1f' % u_val
t = ax.text(xloc, yloc, vel_name, fontsize=11, fontweight='bold',color=clr[i])
t.set_bbox(dict(boxstyle='square,pad=0',facecolor='white', alpha=0.7 , edgecolor='none'))
# - - - - - - - - - - - - - - - - - - - - - - - - - - -
#-----------------------------------------------------
# Load data -- eps = 0.4
#-----------------------------------------------------
subsubdir = 'eps080/'
data_fileName = 'u_store'
u = np.loadtxt(subdirectories[0]+subsubdir+data_fileName+'.'+data_fileType, unpack=False)
# load complex
data_fileName = 'real_w_store'
real_omega = np.loadtxt(subdirectories[0]+subsubdir+data_fileName+'.'+data_fileType, unpack=False)
data_fileName = 'imag_w_store'
imag_omega = np.loadtxt(subdirectories[0]+subsubdir+data_fileName+'.'+data_fileType, unpack=False)
omega = real_omega + (1.0j)*imag_omega
# - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Annotate velocities
# - - - - - - - - - - - - - - - - - - - - - - - - - - -
data_fileName = 'u_crit'
u_crit = np.loadtxt(subdirectories[0]+subsubdir+data_fileName+'.'+data_fileType, unpack=False)
u_crit[u_crit==-1.0]=0.0
u_crit_flag = np.zeros((4,5),dtype='int64')
u_crit_flag[np.nonzero(u_crit)] = 1
u_crit = u_crit[np.nonzero(u_crit)]
u_mkrs = list(u_mkr_values)
u_mkrs.extend(list(u_crit))
u_mkrs.sort()
u_crit_index = np.argmin(abs(u_crit-u_mkrs))
u_mkrs_index = []
for i,u_val in enumerate(u_mkrs):
index = np.argmin(abs(np.float64(u_val)-u))
u_mkrs_index.append(index)
u_mkrs_xy = np.zeros((len(u_mkrs_index),2,4),dtype='float64')
for i in range(0,4):
u_mkrs_xy[:,0,i] = np.real(omega[u_mkrs_index,i])
u_mkrs_xy[:,1,i] = np.imag(omega[u_mkrs_index,i])
u_mkrs = np.array(u_mkrs,dtype='float64')
xshifts = 0.82*np.ones((np.size(u_mkrs),4),dtype='float64')
yshifts = 0.9*np.ones((np.size(u_mkrs),4),dtype='float64')
plot_flag = 1
for i in range(0,3):
for k,u_val in enumerate(u_mkrs):
if(k==u_crit_index):
if(u_crit_flag[i,0]!=0):
plot_flag = 1
else:
plot_flag = 0
else:
plot_flag = 1
if(plot_flag != 0):
xloc = xshifts[k,i]*u_mkrs_xy[k,0,i]
yloc = yshifts[k,i]*u_mkrs_xy[k,1,i]
if(((xloc>xlimits[0]) and (xloc<xlimits[1])) and ((yloc>ylimits[0]) and (yloc<ylimits[1]))):
ax.plot(u_mkrs_xy[k,0,i],u_mkrs_xy[k,1,i],color=clr[i],marker='o',markersize=4, mfc=clr[i], linestyle='None')
vel_name = '%.1f' % u_val
t = ax.text(xloc, yloc, vel_name, fontsize=11, fontweight='bold',color=clr[i])
t.set_bbox(dict(boxstyle='square,pad=0',facecolor='white', alpha=0.7 , edgecolor='none'))
# - - - - - - - - - - - - - - - - - - - - - - - - - - -
for i in range(0,3):
ax.plot(np.real(omega[:,i]), np.imag(omega[:,i]),color=clr[i],linestyle='-.')
plt.text(1.0, 1.0, r'\textbf{Mode 1}', {'color': clr[0], 'fontsize': 13})
plt.text(12, -1.5, r'\textbf{Mode 2}', {'color': clr[1], 'fontsize': 13})
plt.text(68, -1.5, r'\textbf{Mode 3}', {'color': clr[2], 'fontsize': 13})
legend_elements = [Line2D([0],[0], color='k', label=r'Paidoussis (1977) $(\epsilon=0)$'),
Line2D([0],[0], color='k', linestyle='--', label=r'Two-phase $(\epsilon=0.54)$'),
Line2D([0],[0], color='k', linestyle='-.', label=r'Two-phase $(\epsilon=0.8)$')]
leg = plt.legend(handles=legend_elements, loc='best', ncol=1, shadow=True, fancybox=True, fontsize=13)
plt.tight_layout()
print('\t ... Saving figure ...')
plt.savefig(subdirectories[1] + figure_fileName + '.' + figure_fileType,bbox_inches='tight',format=figure_fileType,dpi=500)
plt.close()
print('-----------------------------------------------------')