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2025-11-25 23:05:11 -05:00
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import numpy as np
import matplotlib.pyplot as plt
'''
This file gives the trace for 2 data sets (Nominally measured and simulated)
but can be modified to do 1 or more if needed.
It will automatically scale from -180 to 180 for a 2-Stroke
It needs .txt files copied from the data of GT-Power with the format of:
title line
data CAD
data CAD
. .
. .
. .
Other needed info: Max y value for the y axis
**Will need to adjust colors, line type, etc.**
'''
def get_data(filename):
file = open(filename)
title = file.readline()
lines = file.readlines()
x = []
y = []
x_shift = []
y_shift = []
for line in lines:
line.strip()
data = line.split()
if float(data[0])<=180:
x.append(float(data[0]))
y.append(float(data[1]))
else:
x_shift.append(float(data[0])-360)
y_shift.append(float(data[1]))
return x_shift+x, y_shift+y
x_meas, y_meas = get_data('Python/Plotting/Base/Measured_P.txt') #Files go here
x_sim, y_sim = get_data("Python/Plotting/Base/Simulated_P.txt")
y_max_data = 36
################################# BASIC PLOT CODE #################################
# Basic Styling
plt.rcParams.update({
'font.family': 'Courier New', # monospace font
'font.size': 20, # Fonts
'axes.titlesize': 20, # |
'axes.labelsize': 20, # V
'xtick.labelsize': 15,
'ytick.labelsize': 15,
'legend.fontsize': 15,
'figure.titlesize': 20,
'figure.figsize': [10,5] # Figure Size
})
# Figure Setup
fig, ax = plt.subplots()
title = 'Cylinder Pressure Trace' # Title
xlab = '' # X Label
ylab = 'Pressure [Bar]' # Y Label
ax.set_xlabel(xlab)
ax.set_ylabel(ylab)
ax.set_title(title, pad = 20) #pad controls distance to plot
ax.spines['top'].set_visible(False) # Controls non axis borders
ax.spines['right'].set_visible(False)
x_min = -180 # Axis Limits and Ticks
x_max = 180
x_step_maj = 1 #steps not division
x_step_min = 1
y_min = 0
y_max = y_max_data
y_step_maj = 5
y_step_min = 1
ax.set_xlim(x_min,x_max) # X limits
ax.set_xticks([-180,-90,0,90,180],['BDC\n-180°','Intake/Compression','TDC\n','Exhaust/Expansion','BDC\n180°']) # X Major Ticks
ax.set_xticks([-180,-90,0,90,180], minor=True) # X Minor Ticks
ax.set_ylim(y_min,y_max) # Y limits
ax.set_yticks(np.arange(y_min,y_max,y_step_maj),tickpad = 10) # Y Major Ticks
# ax.set_yticks(np.arange(y_min,y_max,y_step_min),minor=True) # Y Minor Ticks
ax.grid(True, which='major',alpha=0.5) # Turn On Major Grid
ax.grid(True, which='minor',alpha=0.2) # Turn on Minor Grid
# alpha controls transparency
###################### Single Line ######################
'''
# x = []
# y = []
# ax.plot(x,y,color='black',linestyle='-',linewidth='1')
# # Basic Line Styles: -, --, :, -.
# # Basic Colors: red, blue, green, purple, cyan, magenta, black, brown, etc
# # Can Specify Hex code for colors
# ax.scatter(x,y,color='black',marker='o',size=20)
# # Many Markers: circle-'o', square-'s', triangle-'^',star-'*', x-'x'
# plt.show()
'''
###################### Multi Line ######################
x = [x_sim,x_meas,[0,0]] # List of Lists
y = [y_sim,y_meas,[0,36]] # List of Lists
#### Lists must be equal length ###
dl = ['Simulated','Measured',''] # Data Labels (list)
lc = ['black','black','black'] # Line Color |
ls = ['-','--','-'] # Line Style |
lw = [2,2,1] # Line Width V
a = [1,1,0.8] # Transparency
s = [] # Marker Size, 20 is default
m = [] # Marker Type, 'o' is default
# Use color-hex.com for color pallets
# Common ones: Shades of Teal, Ocean Breezes By,Ppt Cv
for i in range(len(x)):
ax.plot(x[i],y[i],label=dl[i],color=lc[i],linestyle=ls[i],linewidth=lw[i], alpha=a[i])
#ax.scatter(x[i],y[i],label=dl[i],color=lc[i],marker=m[i],size=s[i])
ax.legend(loc='center', bbox_to_anchor=(0.8,0.8), ncol=1, frameon=True,edgecolor='white',framealpha=1, labelspacing=0.2,
columnspacing=0.75,handlelength=0.9, handletextpad=0.3)
# anchor loc is based on the plot area, 0.5 is half the width, 1.01 is just above the top
# labelspacing is for vertical spacing, column is for horizontal, handel is for line length, textpad is for handl eto text
plt.tight_layout()
plt.show()

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import numpy as np
import matplotlib.pyplot as plt
'''
This file gives the pressure trace for 2 traces (Nominally measured and simulated)
but can be modified to do 1 or more if needed.
It will automatically scale from -180 to 180 for a 2-Stroke
It needs .txt files copied from the data of GT-Power with the format of:
title line
pressure CAD
pressure CAD
. .
. .
. .
Other needed info: Max y value for the y axis
**Will need to adjust colors, line type, etc.**
'''
def get_data(filename):
file = open(filename)
title = file.readline()
lines = file.readlines()
x = []
y = []
x_shift = []
y_shift = []
for line in lines:
line.strip()
data = line.split()
if float(data[0])<=180:
x.append(float(data[0]))
y.append(float(data[1]))
else:
x_shift.append(float(data[0])-360)
y_shift.append(float(data[1]))
return x_shift+x, y_shift+y
x_meas, y_meas = get_data('Python/Plotting/Base/Measured_P.txt') #Files go here
x_sim, y_sim = get_data("Python/Plotting/Base/Simulated_P.txt")
y_max_data = 36
################################# BASIC PLOT CODE #################################
# Basic Styling
plt.rcParams.update({
'font.family': 'Courier New', # monospace font
'font.size': 20, # Fonts
'axes.titlesize': 20, # |
'axes.labelsize': 15, # V
'xtick.labelsize': 15,
'ytick.labelsize': 15,
'legend.fontsize': 15,
'figure.titlesize': 20,
'figure.figsize': [10,5] # Figure Size
})
# Figure Setup
fig, ax = plt.subplots()
title = 'Cylinder Pressure Trace' # Title
xlab = 'Crank Angle [degrees]' # X Label
ylab = 'Pressure [Bar]' # Y Label
ax.set_xlabel(xlab)
ax.set_ylabel(ylab)
ax.set_title(title, pad = 20) #pad controls distance to plot
ax.spines['top'].set_visible(False) # Controls non axis borders
ax.spines['right'].set_visible(False)
x_min = -180 # Axis Limits and Ticks
x_max = 180
x_step_maj = 1 #steps not division
x_step_min = 1
y_min = 0
y_max = y_max_data
y_step_maj = 5
y_step_min = 1
ax.set_xlim(x_min,x_max) # X limits
ax.set_xticks([-180,-90,0,90,180],['BDC\n-180°','Intake/Compression','TDC\n','Exhaust/Expansion','BDC\n180°']) # X Major Ticks
# ax.set_xticks([-180,-90,0,90,180], minor=True) # X Minor Ticks
ax.set_ylim(y_min,y_max) # Y limits
ax.set_yticks(np.arange(y_min,y_max,y_step_maj),tickpad = 10) # Y Major Ticks
# ax.set_yticks(np.arange(y_min,y_max,y_step_min),minor=True) # Y Minor Ticks
ax.grid(True, which='major',alpha=0.5) # Turn On Major Grid
ax.grid(True, which='minor',alpha=0.2) # Turn on Minor Grid
# alpha controls transparency
###################### Single Line ######################
'''
# x = []
# y = []
# ax.plot(x,y,color='black',linestyle='-',linewidth='1')
# # Basic Line Styles: -, --, :, -.
# # Basic Colors: red, blue, green, purple, cyan, magenta, black, brown, etc
# # Can Specify Hex code for colors
# ax.scatter(x,y,color='black',marker='o',size=20)
# # Many Markers: circle-'o', square-'s', triangle-'^',star-'*', x-'x'
# plt.show()
'''
###################### Multi Line ######################
x = [x_sim,x_meas,[0,0]] # List of Lists
y = [y_sim,y_meas,[0,36]] # List of Lists
#### Lists must be equal length ###
dl = ['Simulated','Measured',''] # Data Labels (list)
lc = ['black','black','black'] # Line Color |
ls = ['-','--','-'] # Line Style |
lw = [2,2,1] # Line Width V
a = [1,1,0.8] # Transparency
s = [] # Marker Size, 20 is default
m = [] # Marker Type, 'o' is default
# Use color-hex.com for color pallets
# Common ones: Shades of Teal, Ocean Breezes By,Ppt Cv
for i in range(len(x)):
ax.plot(x[i],y[i],label=dl[i],color=lc[i],linestyle=ls[i],linewidth=lw[i], alpha=a[i])
#ax.scatter(x[i],y[i],label=dl[i],color=lc[i],marker=m[i],size=s[i])
ax.legend(loc='center', bbox_to_anchor=(0.8,0.8), ncol=1, frameon=True,edgecolor='white',framealpha=1, labelspacing=0.2,
columnspacing=0.75,handlelength=0.9, handletextpad=0.3)
# anchor loc is based on the plot area, 0.5 is half the width, 1.01 is just above the top
# labelspacing is for vertical spacing, column is for horizontal, handel is for line length, textpad is for handl eto text
plt.tight_layout()
plt.show()

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import numpy as np
import matplotlib.pyplot as plt
'''
This file gives the trace for 2 data sets (Nominally measured and simulated)
but can be modified to do 1 or more if needed.
It will automatically scale from -180 to 540 for a 4-Stroke
It needs .txt files copied from the data of GT-Power with the format of:
(no headers)
data CAD
data CAD
. .
. .
. .
Other needed info: Max y value for the y axis
**Will need to adjust colors, step scaling, line type, etc.**
'''
def get_data(filename):
file = open(filename)
# title = file.readline()
lines = file.readlines()
x = []
y = []
x_shift = []
y_shift = []
for line in lines:
line.strip()
data = line.split()
if float(data[0])<=540:
x.append(float(data[0]))
y.append(float(data[1]))
else:
x_shift.append(float(data[0])-720)
y_shift.append(float(data[1]))
return x_shift+x, y_shift+y
x1, y1 = get_data('Python/Plotting/Base/mass_atm.txt') #Files go here
x2, y2 = get_data("Python/Plotting/Base/mass_2bar.txt")
y_max_data = 1.8
################################# BASIC PLOT CODE #################################
# Basic Styling
plt.rcParams.update({
'font.family': 'Courier New', # monospace font
'font.size': 20, # Fonts
'axes.titlesize': 20, # |
'axes.labelsize': 20, # V
'xtick.labelsize': 15,
'ytick.labelsize': 15,
'legend.fontsize': 15,
'figure.titlesize': 20,
'figure.figsize': [10,5] # Figure Size
})
# Figure Setup
fig, ax = plt.subplots()
title = 'Trapped Mass' # Title
xlab = 'Crank Angle [degrees]' # X Label
ylab = 'Pressure [Bar]' # Y Label
# ax.set_xlabel(xlab)
ax.set_ylabel(ylab)
ax.set_title(title, pad = 20) #pad controls distance to plot
ax.spines['top'].set_visible(False) # Controls non axis borders
ax.spines['right'].set_visible(False)
x_min = -180 # Axis Limits and Ticks
x_max = 540
x_step_maj = 1 #steps not division
x_step_min = 1
y_min = 0
y_max = y_max_data
y_step_maj = 0.2
y_step_min = 0.1
ax.set_xlim(x_min,x_max) # X limits
ax.set_xticks([-180,-90,0,90,180,270,360,450,540],['BDC\n-180°','Compression','TDCF\n','Power','BDC\n180°','Exhaust','TDC\n360°','Intake','BDC\n540°']) # X Major Ticks
# ax.set_xticks([-180,-90,0,90,180], minor=True) # X Minor Ticks
ax.set_ylim(y_min,y_max) # Y limits
ax.set_yticks(np.arange(y_min,y_max,y_step_maj),tickpad = 10) # Y Major Ticks
# ax.set_yticks(np.arange(y_min,y_max,y_step_min),minor=True) # Y Minor Ticks
ax.grid(True, which='major',alpha=0.5) # Turn On Major Grid
ax.grid(True, which='minor',alpha=0.2) # Turn on Minor Grid
# alpha controls transparency
###################### Single Line ######################
'''
# x = []
# y = []
# ax.plot(x,y,color='black',linestyle='-',linewidth='1')
# # Basic Line Styles: -, --, :, -.
# # Basic Colors: red, blue, green, purple, cyan, magenta, black, brown, etc
# # Can Specify Hex code for colors
# ax.scatter(x,y,color='black',marker='o',size=20)
# # Many Markers: circle-'o', square-'s', triangle-'^',star-'*', x-'x'
# plt.show()
'''
###################### Multi Line ######################
x = [x1,x2,[0,0]] # List of Lists
y = [y1,y2,[0,y_max_data]] # List of Lists
#### Lists must be equal length ###
dl = ['No Boost','2 Bar Boost',''] # Data Labels (list)
lc = ['black','black','black'] # Line Color |
ls = ['-','--','-'] # Line Style |
lw = [2,2,1] # Line Width V
a = [1,1,0.8] # Transparency
s = [] # Marker Size, 20 is default
m = [] # Marker Type, 'o' is default
# Use color-hex.com for color pallets
# Common ones: Shades of Teal, Ocean Breezes By,Ppt Cv
for i in range(len(x)):
ax.plot(x[i],y[i],label=dl[i],color=lc[i],linestyle=ls[i],linewidth=lw[i], alpha=a[i])
#ax.scatter(x[i],y[i],label=dl[i],color=lc[i],marker=m[i],size=s[i])
ax.legend(loc='center', bbox_to_anchor=(0.8,0.8), ncol=1, frameon=True,edgecolor='white',framealpha=1, labelspacing=0.2,
columnspacing=0.75,handlelength=0.9, handletextpad=0.3)
# anchor loc is based on the plot area, 0.5 is half the width, 1.01 is just above the top
# labelspacing is for vertical spacing, column is for horizontal, handel is for line length, textpad is for handl eto text
plt.tight_layout()
plt.show()

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import numpy as np
import matplotlib.pyplot as plt
'''
This file gives the PV Diagram for 2 traces (Nominally measured and simulated)
but can be modified to do 1 or more if needed.
It needs .txt files copied from the data of GT-Power with the format of:
(no headers)
pressure volume fraction
pressure volume fraction
. .
. .
. .
Other needed info: Max y value for the y axis
**Will need to adjust how far out min/max lines go, as well as
colors, line type, etc.**
'''
def get_data(filename):
file = open(filename)
title = file.readline()
lines = file.readlines()
x = []
y = []
for line in lines:
line.strip()
data = line.split()
x.append(float(data[0]))
y.append(float(data[1]))
return x, y, round(min(x),3), round(max(y),2)
x_meas, y_meas, x_meas_min, y_meas_max = get_data('Python/Plotting/Base/Measured.txt') #Files here
x_sim, y_sim, x_sim_min, y_sim_max = get_data("Python/Plotting/Base/Simulated.txt")
x_min_data = min(x_meas_min, x_meas_min)
#print(min(x_meas),min(x_sim))
################################# BASIC PLOT CODE #################################
# Basic Styling
plt.rcParams.update({
'font.family': 'Courier New', # monospace font
'font.size': 20, # Fonts
'axes.titlesize': 30, # |
'axes.labelsize': 20, # V
'xtick.labelsize': 15,
'ytick.labelsize': 15,
'legend.fontsize': 20,
'figure.titlesize': 20,
'figure.figsize': [10,10] # Figure Size
})
# Figure Setup
fig, ax = plt.subplots()
title = 'PV Diagram' # Title
xlab = '% of Volume' # X Label
ylab = 'Cyinder Pressure [Bar]' # Y Label
ax.set_xlabel(xlab)
ax.set_ylabel(ylab, labelpad=0)
ax.set_title(title, pad = 0) #pad controls distance to plot
ax.spines['top'].set_visible(False) # Controls non axis borders
ax.spines['right'].set_visible(False)
# ax.set_xscale('log')
# ax.set_yscale('log')
x_min = 0 # Axis Limits and Ticks
x_max = 1.1
x_step_maj = 1 #steps not division
x_step_min = 1
y_min = 0
y_max = 25
y_step_maj = 25
y_step_min = 1
ax.set_xlim(x_min,x_max) # X limits
ax.set_xticks([x_min_data,1]) # X Major Ticks
# ax.set_xticks(np.arange(x_min,x_max,x_step_min), minor=True) # X Minor Ticks
ax.set_ylim(y_min,y_max) # Y limits
ax.set_yticks([y_meas_max,y_sim_max]) # Y Major Ticks
# ax.set_yticks(np.arange(y_min,y_max,y_step_min),minor=True) # Y Minor Ticks
# ax.grid(True, which='major',alpha=1, lw=1, ls='--', color='black') # Turn On Major Grid
# ax.grid(True, which='minor',alpha=0.2) # Turn on Minor Grid
# alpha controls transparency
###################### Single Line ######################
'''
# x = []
# y = []
# ax.plot(x,y,color='black',linestyle='-',linewidth='1')
# # Basic Line Styles: -, --, :, -.
# # Basic Colors: red, blue, green, purple, cyan, magenta, black, brown, etc
# # Can Specify Hex code for colors
# ax.scatter(x,y,color='black',marker='o',size=20)
# # Many Markers: circle-'o', square-'s', triangle-'^',star-'*', x-'x'
# plt.show()
'''
###################### Multi Line ######################
x = [x_meas,x_sim,[1,1],[x_min_data,x_min_data],[0,.125],[0,.125]] # List of Lists
y = [y_meas,y_sim,[0,1.1],[0,12.5],[y_meas_max,y_meas_max],[y_sim_max,y_sim_max]] # List of Lists
#### Lists must be equal length ###
dl = ['Measured', 'Simulated','','','',''] # Data Labels (list)
lc = ['black', 'black','black','black','black','black'] # Line Color |
ls = ['-','--','--','--', '--','--'] # Line Style |
lw = [1.5,2,1,1,1,1] # Line Width V
a = [1,1,1,1,1,1]
s = [] # Marker Size, 20 is default
m = [] # Marker Type, 'o' is default
# Use color-hex.com for color pallets
# Common ones: Shades of Teal, Ocean Breezes By,Ppt Cv
for i in range(len(x)):
ax.plot(x[i],y[i],label=dl[i],color=lc[i],linestyle=ls[i],linewidth=lw[i],alpha=a[i])
#ax.scatter(x[i],y[i],label=dl[i],color=lc[i],marker=m[i],size=s[i])
ax.legend(loc='upper right', bbox_to_anchor=(0.85, 0.85), ncol=1, frameon=False, labelspacing=0.2, columnspacing=0.75,
handlelength=1, handletextpad=0.3)
# anchor loc is based on the plot area, 0.5 is half the width, 1.01 is just above the top
# labelspacing is for vertical spacing, column is for horizontal, handel is for line length, textpad is for handl eto text
plt.tight_layout()
plt.show()

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import numpy as np
import matplotlib.pyplot as plt
def get_data(filename):
file = open(filename)
lines = file.readlines()
x = []
y = []
for line in lines:
line.strip()
data = line.split()
x.append(float(data[0]))
y.append(float(data[1]))
return x, y
x, y = get_data('Python/Plotting/Base/10k_rpm.txt')
################################# BASIC PLOT CODE #################################
# Basic Styling
plt.rcParams.update({
'font.family': 'Courier New', # monospace font
'font.size': 20, # Fonts
'axes.titlesize': 20, # |
'axes.labelsize': 20, # V
'xtick.labelsize': 20,
'ytick.labelsize': 20,
'legend.fontsize': 20,
'figure.titlesize': 20,
'figure.figsize': [10,5] # Figure Size
})
# Figure Setup
fig, ax = plt.subplots()
title = '10,000 rpm Jetfire' # Title
xlab = 'Power [kW]' # X Label
ylab = 'BSFC [g/kW-h]' # Y Label
ax.set_xlabel(xlab)
ax.set_ylabel(ylab)
ax.set_title(title, pad = 20) #pad controls distance to plot
ax.spines['top'].set_visible(False) # Controls non axis borders
ax.spines['right'].set_visible(False)
x_min = 2.5 # Axis Limits and Ticks
x_max = 10
x_step_maj = 1 #steps not division
x_step_min = .25
y_min = 340
y_max = 550
y_step_maj = 25
y_step_min = 5
ax.set_xlim(x_min,x_max) # X limits
ax.set_xticks([3,4,5,6,7,8,9,10]) # X Major Ticks
# ax.set_xticks(np.arange(x_min,x_max,x_step_min), minor=True) # X Minor Ticks
ax.set_ylim(y_min,y_max) # Y limits
ax.set_yticks(np.arange(y_min,y_max,y_step_maj)) # Y Major Ticks
# ax.set_yticks(np.arange(y_min,y_max,y_step_min),minor=True) # Y Minor Ticks
ax.grid(True, which='major',alpha=0.5) # Turn On Major Grid
ax.grid(True, which='minor',alpha=0.2) # Turn on Minor Grid
# alpha controls transparency
###################### Single Line ######################
# x = []
# y = []
ax.plot(x,y,color='black',linestyle='-',linewidth='2')
# Basic Line Styles: -, --, :, -.
# Basic Colors: red, blue, green, purple, cyan, magenta, black, brown, etc
# Can Specify Hex code for colors
# ax.scatter(x,y,color='black',marker='o',size=20)
# Many Markers: circle-'o', square-'s', triangle-'^',star-'*', x-'x'
plt.tight_layout()
plt.show()
###################### Multi Line ######################
# x = [[],[]] # List of Lists
# y = [[],[]] # List of Lists
# #### Lists must be equal length ###
# dl = [] # Data Labels (list)
# lc = [] # Line Color |
# ls = [] # Line Style |
# lw = [] # Line Width V
# a = [] # Transparency
# s = [] # Marker Size, 20 is default
# m = [] # Marker Type, 'o' is default
# # Use color-hex.com for color pallets
# # Common ones: Shades of Teal, Ocean Breezes By,Ppt Cv
# for i in range(len(x)):
# ax.plot(x[i],y[i],label=dl[i],color=lc[i],linestyle=ls[i],linewidth=lw[i], alpha=a[i])
# #ax.scatter(x[i],y[i],label=dl[i],color=lc[i],marker=m[i],size=s[i])
# ax.legend(loc='center', bbox_to_anchor=(0.5, 1.01), ncol=len(x), frameon=False, labelspacing=0.2, columnspacing=0.75,
# handlelength=0.75, handletextpad=0.3)
# # anchor loc is based on the plot area, 0.5 is half the width, 1.01 is just above the top
# # labelspacing is for vertical spacing, column is for horizontal, handel is for line length, textpad is for handl eto text
# plt.tight_layout()
# plt.show()

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import numpy as np
import matplotlib.pyplot as plt
'''
This file gives 2 stacked graphs, both with the options to have multiple data sets (Nominally measured and simulated for the top graph and temperature for the bottom)
It will automatically scale from -180 to 180 for a 2-Stroke
It needs .txt files copied from the data of GT-Power with the format of:
title
data CAD
data CAD
. .
. .
. .
Other needed info: Max y value for the y axis
**Will need to adjust colors, line type, etc.**
'''
def get_data(filename):
file = open(filename)
title = file.readline()
lines = file.readlines()
x = []
y = []
x_shift = []
y_shift = []
for line in lines:
line.strip()
data = line.split()
if float(data[0])<=180:
x.append(float(data[0]))
y.append(float(data[1]))
else:
x_shift.append(float(data[0])-360)
y_shift.append(float(data[1]))
return x_shift+x, y_shift+y
x_meas, y_meas = get_data('Python/Plotting/Base/Measured_P.txt') #Files go here
x_sim, y_sim = get_data("Python/Plotting/Base/Simulated_P.txt")
x_temp, y_temp = get_data("Python/Plotting/Base/temperature.txt")
################################# BASIC PLOT CODE #################################
# Basic Styling
plt.rcParams.update({
'font.family': 'Courier New', # monospace font
'font.size': 20, # Fonts
'axes.titlesize': 20, # |
'axes.labelsize': 20, # V
'xtick.labelsize': 15,
'ytick.labelsize': 15,
'legend.fontsize': 15,
'figure.titlesize': 20,
'figure.figsize': [10,10] # Figure Size
})
# Figure Setup
fig, ax = plt.subplots(2)
title = 'Cylinder Pressure Trace' # Title
ax[0].set_title(title, pad = 20) #pad controls distance to plot
### Figure 1 (top) ###
x_1_lab = '' # X Label
y_1_lab = 'Pressure [Bar]' # Y Label
ax[0].set_xlabel(x_1_lab)
ax[0].set_ylabel(y_1_lab)
ax[0].spines['top'].set_visible(False) # Controls non axis borders
ax[0].spines['right'].set_visible(False)
### Figure 2 (bottom) ###
x_2_lab = '' # X Label
y_2_lab = 'Temperature [K]' # Y Label
ax[1].set_xlabel(x_2_lab)
ax[1].set_ylabel(y_2_lab)
ax[1].spines['top'].set_visible(False) # Controls non axis borders
ax[1].spines['right'].set_visible(False)
### axis is the same for both graphs ###
### x displays on bottom graph only ###
x_min = -180 # Axis Limits and Ticks
x_max = 180
x_step_maj = 1 #steps not division
x_step_min = 1
ax[1].set_xlim(x_min,x_max) # X limits
ax[1].set_xticks([-180,-90,0,90,180],['BDC\n-180°','Intake/Compression','TDC\n','Exhaust/Expansion','BDC\n180°']) # X Major Ticks
ax[1].set_xticks([-180,-90,0,90,180], minor=True) # X Minor Ticks
ax[0].set_xlim(x_min,x_max) # X limits
ax[0].set_xticks([-180,-90,0,90,180],[]) # X Major Ticks
ax[0].set_xticks([-180,-90,0,90,180], minor=True) # X Minor Ticks
### Figure 1 (top) ###
y_1_min = 0
y_1_max = 36
y_1_step_maj = 5
y_1_step_min = 1
ax[0].set_ylim(y_1_min,y_1_max) # Y limits
ax[0].set_yticks(np.arange(y_1_min,y_1_max,y_1_step_maj),tickpad = 10) # Y Major Ticks
# ax.set_yticks(np.arange(y_min,y_max,y_step_min),minor=True) # Y Minor Ticks
ax[0].grid(True, which='major',alpha=0.5) # Turn On Major Grid
ax[0].grid(True, which='minor',alpha=0.2) # Turn on Minor Grid
# alpha controls transparency
### Figure 2 (bottom) ###
y_2_min = 500
y_2_max = 2150
y_2_step_maj = 200
y_2_step_min = 100
ax[1].set_ylim(y_2_min,y_2_max) # Y limits
ax[1].set_yticks(np.arange(y_2_min,y_2_max,y_2_step_maj),tickpad = 10) # Y Major Ticks
# ax[1].set_yticks(np.arange(y_2_min,y_2_max,y_2_step_min),minor=True) # Y Minor Ticks
ax[1].grid(True, which='major',alpha=0.5) # Turn On Major Grid
ax[1].grid(True, which='minor',alpha=0.2) # Turn on Minor Grid
# alpha controls transparency
###################### Single Line ######################
'''
# x = []
# y = []
ax.plot(x,y,color='black',linestyle='-',linewidth='1')
# Basic Line Styles: -, --, :, -.
# Basic Colors: red, blue, green, purple, cyan, magenta, black, brown, etc
# Can Specify Hex code for colors
# ax.scatter(x,y,color='black',marker='o',size=20)
# # Many Markers: circle-'o', square-'s', triangle-'^',star-'*', x-'x'
# plt.show()
'''
###################### Stacked Line ######################
x1 = [x_meas,x_sim,[0,0]] # List of Lists
y1 = [y_meas,y_sim,[0,36]] # List of Lists
dl1 = ['Measured','Simulated',''] # Data Labels (list)
lc1 = ['black','black','black'] # Line Color |
ls1 = ['--','-','-'] # Line Style |
lw1 = [2,2,1] # Line Width V
a1 = [1,1,0.8] # Transparency
for i in range(len(x1)):
ax[0].plot(x1[i],y1[i],label=dl1[i],color=lc1[i],linestyle=ls1[i],linewidth=lw1[i], alpha=a1[i])
ax[0].legend(loc='center', bbox_to_anchor=(0.8,0.8), ncol=1, frameon=True,edgecolor='white',framealpha=1, labelspacing=0.2, columnspacing=0.75,handlelength=0.9, handletextpad=0.3)
# anchor loc is based on the plot area, 0.5 is half the width, 1.01 is just above the top
# labelspacing is for vertical spacing, column is for horizontal, handel is for line length, textpad is for handl eto text
x2 = [x_temp,[0,0]] # List of Lists
y2 = [y_temp,[0,2150]] # List of Lists
dl2 = ['',''] # Data Labels (list)
lc2 = ['black','black'] # Line Color |
ls2 = ['-','-'] # Line Style |
lw2 = [2,1] # Line Width V
a2 = [1,0.8] # Transparency
for i in range(len(x2)):
ax[1].plot(x2[i],y2[i],label=dl2[i],color=lc2[i],linestyle=ls2[i],linewidth=lw2[i], alpha=a2[i])
# ax[1].fill_between(x_temp,y_temp,hatch='///', alpha=0)
# ax[1].legend(loc='center', bbox_to_anchor=(0.8,0.8), ncol=1, frameon=True,edgecolor='white',framealpha=1, labelspacing=0.2, columnspacing=0.75,handlelength=0.9, handletextpad=0.3)
# anchor loc is based on the plot area, 0.5 is half the width, 1.01 is just above the top
# labelspacing is for vertical spacing, column is for horizontal, handel is for line length, textpad is for handl eto text
plt.tight_layout()
plt.show()