Intial repository commit
This commit is contained in:
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4.05 384
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4.64 377
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5.88 358
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6.07 349
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import numpy as np
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import matplotlib.pyplot as plt
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import random
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import ast
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# Getting Random Data for Examples
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random.seed(10)
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x = np.linspace(1,20,50)
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y1 = np.sin(x)
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y2 = np.e**(-0.5*x)
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num= np.random.random
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def make_basic_single_plot(x:list, y:list, xlabel:str = 'X-Axis', ylabel:str ='Y-Axis', title:str = '', lcolor = ['black'],lstyle: list = ['solid']):
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plt.rcParams.update({
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'font.family': 'Courier New', # monospace font
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'font.size': 20,
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'axes.titlesize': 20,
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'axes.labelsize': 20,
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'xtick.labelsize': 20,
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'ytick.labelsize': 20,
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'legend.fontsize': 20,
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'figure.titlesize': 20,
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'figure.figsize': [10,10]
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})
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fig, ax = plt.subplots()
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ax.set_xlabel(xlabel)
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ax.set_ylabel(ylabel)
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ax.set_title(title)
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if type(y)==np.ndarray:
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ax.plot(x,y, color=lcolor[0], linestyle=lstyle[0])
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if type(y[0])==np.ndarray:
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for i in range(len(y)):
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ax.plot(x,y[i], color=lcolor[i], linestyle=lstyle[i])
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#ax[i].set_color(lcolor[i])
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#ax[i.set_linestyle(lstyle[i])]
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plt.show()
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print("Done")
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def make_basic_single_plot_int(x,y):
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#Set Base Styling
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plt.rcParams.update({
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'font.family': 'Courier New', # monospace font
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'font.size': 20,
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'axes.titlesize': 20,
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'axes.labelsize': 20,
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'xtick.labelsize': 20,
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'ytick.labelsize': 20,
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'legend.fontsize': 20,
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'figure.titlesize': 20,
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'figure.figsize': [10,10]
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})
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#Basic Inputs
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fig, ax = plt.subplots()
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title = input("Title: ")
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xlab = input("X-axis Label: ")
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ylab = input("Y-axis Label: ")
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size = input("Figure Size [w, h]: ")
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#Set Labels
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if size!="def":
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plt.rcParams.update({'figure.figsize': ast.literal_eval(size)})
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ax.set_xlabel(xlab)
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ax.set_ylabel(ylab)
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ax.set_title(title)
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#Ask for data and add to plot
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num = int(input("Number of Datasets: "))
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if num==1:
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lc = input("Line Color: ")
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if lc=='def':
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lc='black'
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ls = input("Line Style (-,--,:,-.): ")
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lw = input("Line Width (def=1): ")
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if lw=='def':
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lw=1
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else:
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lw=float(lw)
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ax.plot(x,y,color=lc,linestyle=ls,linewidth=lw)
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if num>1:
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for i in range(num):
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dl = input("Data Label: ")
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#data = input("First Data Set ([[x],[y]]): ")
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#data = ast.literal_eval(data)
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lc = input("Line Color: ")
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if lc=='def':
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lc='black'
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ls = input("Line Style (-,--,:,-.): ")
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lw = input("Line Width (def=1): ")
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if lw=='def':
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lw=1
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else:
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lw=float(lw)
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ax.plot(x[i],y[i],label=dl,color=lc,linestyle=ls,linewidth=lw)
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ax.legend(loc='center', bbox_to_anchor=(0.5, 1.01), ncol=num, frameon=False)
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plt.tight_layout()
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plt.show()
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################################# BASIC PLOT CODE #################################
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# Basic Styling
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plt.rcParams.update({
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'font.family': 'Courier New', # monospace font
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'font.size': 20, # Fonts
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'axes.titlesize': 20, # |
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'axes.labelsize': 20, # V
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'xtick.labelsize': 20,
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'ytick.labelsize': 20,
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'legend.fontsize': 20,
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'figure.titlesize': 20,
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'figure.figsize': [10,10] # Figure Size
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})
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# Figure Setup
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fig, ax = plt.subplots()
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title = '' # Title
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xlab = '' # X Label
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ylab = '' # Y Label
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ax.set_xlabel(xlab)
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ax.set_ylabel(ylab)
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ax.set_title(title, pad = 20) #pad controls distance to plot
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ax.spines['top'].set_visible(False) # Controls non axis borders
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ax.spines['right'].set_visible(False)
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x_min = 0 # Axis Limits and Ticks
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x_max = 1
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x_step_maj = 1 #steps not division
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x_step_min = 1
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y_min = 0
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y_max = 1
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y_step_maj = 1
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y_step_min = 1
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ax.set_xlim(x_min,x_max) # X limits
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ax.set_xticks(np.arange(x_min,x_max,x_step_maj)) # X Major Ticks
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ax.set_xticks(np.arange(x_min,x_max,x_step_min), minor=True) # X Minor Ticks
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ax.set_ylim(y_min,y_max) # Y limits
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ax.set_yticks(np.arange(y_min,y_max,y_step_maj)) # Y Major Ticks
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ax.set_yticks(np.arange(y_min,y_max,y_step_min),minor=True) # Y Minor Ticks
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ax.grid(True, which='major',alpha=0.5) # Turn On Major Grid
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ax.grid(True, which='minor',alpha=0.2) # Turn on Minor Grid
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# alpha controls transparency
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###################### Single Line ######################
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x = []
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y = []
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ax.plot(x,y,color='black',linestyle='-',linewidth='1')
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# Basic Line Styles: -, --, :, -.
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# Basic Colors: red, blue, green, purple, cyan, magenta, black, brown, etc
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# Can Specify Hex code for colors
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ax.scatter(x,y,color='black',marker='o',size=20)
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# Many Markers: circle-'o', square-'s', triangle-'^',star-'*', x-'x'
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plt.show()
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###################### Multi Line ######################
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x = [[],[]] # List of Lists
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y = [[],[]] # List of Lists
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#### Lists must be equal length ###
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dl = [] # Data Labels (list)
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lc = [] # Line Color |
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ls = [] # Line Style |
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lw = [] # Line Width V
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a = [] # Transparency
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s = [] # Marker Size, 20 is default
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m = [] # Marker Type, 'o' is default
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# Use color-hex.com for color pallets
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# Common ones: Shades of Teal, Ocean Breezes By,Ppt Cv
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# Green Palette:
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'#002005'
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'#164f29'
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'#3b7639'
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'#638d66'
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'#b5c5b4'
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for i in range(len(x)):
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ax.plot(x[i],y[i],label=dl[i],color=lc[i],linestyle=ls[i],linewidth=lw[i], alpha=a[i])
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#ax.scatter(x[i],y[i],label=dl[i],color=lc[i],marker=m[i],size=s[i])
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ax.legend(loc='center', bbox_to_anchor=(0.5, 1.01), ncol=len(x), frameon=False, labelspacing=0.2, columnspacing=0.75,
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handlelength=0.75, handletextpad=0.3)
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# anchor loc is based on the plot area, 0.5 is half the width, 1.01 is just above the top
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# labelspacing is for vertical spacing, column is for horizontal, handel is for line length, textpad is for handl eto text
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plt.tight_layout()
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plt.show()
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@@ -0,0 +1,121 @@
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import numpy as np
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import matplotlib.pyplot as plt
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def get_data(filename):
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file = open(filename)
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title = file.readline()
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lines = file.readlines()
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x = []
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y = []
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x_shift = []
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y_shift = []
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for line in lines:
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line.strip()
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data = line.split()
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if float(data[0])<=180:
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x.append(float(data[0]))
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y.append(float(data[1]))
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else:
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x_shift.append(float(data[0])-360)
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y_shift.append(float(data[1]))
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return x_shift+x, y_shift+y
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x_meas, y_meas = get_data('Python/Plotting/Base/Measured_P.txt')
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x_sim, y_sim = get_data("Python/Plotting/Base/Simulated_P.txt")
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for i in x_meas:
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print(i)
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################################# BASIC PLOT CODE #################################
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# Basic Styling
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plt.rcParams.update({
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'font.family': 'Courier New', # monospace font
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'font.size': 20, # Fonts
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'axes.titlesize': 20, # |
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'axes.labelsize': 20, # V
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'xtick.labelsize': 15,
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'ytick.labelsize': 15,
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'legend.fontsize': 15,
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'figure.titlesize': 20,
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'figure.figsize': [10,5] # Figure Size
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})
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# Figure Setup
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fig, ax = plt.subplots()
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title = 'Cylinder Pressure Trace' # Title
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xlab = '' # X Label
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ylab = 'Pressure [Bar]' # Y Label
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ax.set_xlabel(xlab)
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ax.set_ylabel(ylab)
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ax.set_title(title, pad = 20) #pad controls distance to plot
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ax.spines['top'].set_visible(False) # Controls non axis borders
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ax.spines['right'].set_visible(False)
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x_min = -180 # Axis Limits and Ticks
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x_max = 180
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x_step_maj = 1 #steps not division
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x_step_min = 1
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y_min = 0
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y_max = 36
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y_step_maj = 5
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y_step_min = 1
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ax.set_xlim(x_min,x_max) # X limits
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ax.set_xticks([-180,-90,0,90,180],['BDC','Intake/Compression','TDC','Exhaust/Expansion','BDC']) # X Major Ticks
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ax.set_xticks([-180,-90,0,90,180], minor=True) # X Minor Ticks
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ax.set_ylim(y_min,y_max) # Y limits
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ax.set_yticks(np.arange(y_min,y_max,y_step_maj)) # Y Major Ticks
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# ax.set_yticks(np.arange(y_min,y_max,y_step_min),minor=True) # Y Minor Ticks
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ax.grid(True, which='major',alpha=0.5) # Turn On Major Grid
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ax.grid(True, which='minor',alpha=0.2) # Turn on Minor Grid
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# alpha controls transparency
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###################### Single Line ######################
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# x = []
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# y = []
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# ax.plot(x,y,color='black',linestyle='-',linewidth='1')
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# # Basic Line Styles: -, --, :, -.
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# # Basic Colors: red, blue, green, purple, cyan, magenta, black, brown, etc
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# # Can Specify Hex code for colors
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# ax.scatter(x,y,color='black',marker='o',size=20)
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# # Many Markers: circle-'o', square-'s', triangle-'^',star-'*', x-'x'
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# plt.show()
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###################### Multi Line ######################
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x = [x_sim,x_meas] # List of Lists
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y = [y_sim,y_meas] # List of Lists
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#### Lists must be equal length ###
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dl = ['Simulated','Measured'] # Data Labels (list)
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lc = ['black','black'] # Line Color |
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ls = ['-','--'] # Line Style |
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lw = [2,2] # Line Width V
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a = [1,1] # Transparency
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s = [] # Marker Size, 20 is default
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m = [] # Marker Type, 'o' is default
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# Use color-hex.com for color pallets
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||||
# Common ones: Shades of Teal, Ocean Breezes By,Ppt Cv
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||||
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for i in range(len(x)):
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ax.plot(x[i],y[i],label=dl[i],color=lc[i],linestyle=ls[i],linewidth=lw[i], alpha=a[i])
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#ax.scatter(x[i],y[i],label=dl[i],color=lc[i],marker=m[i],size=s[i])
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ax.legend(loc='center', bbox_to_anchor=(0.8,0.8), ncol=1, frameon=True,edgecolor='white',framealpha=1, labelspacing=0.2,
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columnspacing=0.75,handlelength=0.75, handletextpad=0.3)
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# anchor loc is based on the plot area, 0.5 is half the width, 1.01 is just above the top
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||||
# labelspacing is for vertical spacing, column is for horizontal, handel is for line length, textpad is for handl eto text
|
||||
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plt.tight_layout()
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plt.show()
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@@ -0,0 +1,360 @@
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Measured
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0.62941825 1.4159249
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0.6292404 1.4162701
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0.62146497 1.4501166
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||||
0.61364883 1.4846574
|
||||
0.6057943 1.5103542
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||||
0.5979039 1.5425
|
||||
0.58998007 1.5685343
|
||||
0.58202535 1.59443
|
||||
0.57404226 1.6333632
|
||||
0.5660334 1.6624316
|
||||
0.5580015 1.6914659
|
||||
0.5499493 1.7277586
|
||||
0.5418794 1.7718027
|
||||
0.5337947 1.800122
|
||||
0.525698 1.820073
|
||||
0.51759225 1.864939
|
||||
0.50948024 1.9143927
|
||||
0.50136495 1.9424458
|
||||
0.49324933 1.9689004
|
||||
0.48513648 2.0007682
|
||||
0.47702935 2.0428734
|
||||
0.46893105 2.092996
|
||||
0.46084467 2.1401384
|
||||
0.4527733 2.1865857
|
||||
0.44472015 2.2368457
|
||||
0.43668833 2.285979
|
||||
0.42868105 2.3294344
|
||||
0.42070147 2.3846078
|
||||
0.41275287 2.4397848
|
||||
0.40483844 2.4869232
|
||||
0.39696145 2.5410275
|
||||
0.3891251 2.599124
|
||||
0.38133273 2.6664405
|
||||
0.37358752 2.7430947
|
||||
0.36589277 2.8212624
|
||||
0.35825172 2.9068794
|
||||
0.35066766 2.9896586
|
||||
0.34314382 3.0711071
|
||||
0.3356835 3.1559534
|
||||
0.32828987 3.2481284
|
||||
0.3209662 3.3423545
|
||||
0.3137157 3.4481862
|
||||
0.3065416 3.5555441
|
||||
0.299447 3.6477833
|
||||
0.29243514 3.7581906
|
||||
0.2855091 3.889259
|
||||
0.27867204 4.0075665
|
||||
0.27192703 4.1237774
|
||||
0.26527712 4.257856
|
||||
0.25872535 4.3807116
|
||||
0.2522747 4.49738
|
||||
0.24592812 4.6305895
|
||||
0.23968853 4.778136
|
||||
0.23355883 4.9141903
|
||||
0.22754185 5.046443
|
||||
0.22164036 5.1944184
|
||||
0.21585713 5.356183
|
||||
0.21019486 5.505464
|
||||
0.2046562 5.6514354
|
||||
0.19924374 5.813004
|
||||
0.19396004 5.978728
|
||||
0.18880758 6.1567254
|
||||
0.1837888 6.3394485
|
||||
0.17890608 6.51239
|
||||
0.17416175 6.682379
|
||||
0.16955803 6.872758
|
||||
0.16509715 7.0743103
|
||||
0.16078122 7.270871
|
||||
0.1566123 7.464198
|
||||
0.15259242 7.650001
|
||||
0.14872345 7.847092
|
||||
0.1450073 8.05476
|
||||
0.14144573 8.25817
|
||||
0.13804047 8.466103
|
||||
0.13479313 8.678619
|
||||
0.13170531 8.887357
|
||||
0.1287785 9.093097
|
||||
0.1260141 9.296996
|
||||
0.12341346 9.500862
|
||||
0.12097783 9.696824
|
||||
0.118708394 9.896242
|
||||
0.11660625 10.104578
|
||||
0.11467242 10.3127575
|
||||
0.11290786 10.516966
|
||||
0.111313395 10.735301
|
||||
0.10988983 10.967971
|
||||
0.10863784 11.187811
|
||||
0.10755804 11.409951
|
||||
0.10665096 11.649704
|
||||
0.10591704 11.915226
|
||||
0.105356626 12.229004
|
||||
0.10497 12.624488
|
||||
0.10475736 13.143764
|
||||
0.1047188 13.786082
|
||||
0.10485433 14.520525
|
||||
0.105163895 15.332433
|
||||
0.10564734 16.170528
|
||||
0.10630444 16.998716
|
||||
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|
||||
78.42575 6.0916553
|
||||
79.42854 5.9737186
|
||||
80.43133 5.855297
|
||||
81.43411 5.742545
|
||||
82.4369 5.6421056
|
||||
83.43968 5.5450706
|
||||
84.44247 5.4420176
|
||||
85.44525 5.343885
|
||||
86.44804 5.242539
|
||||
87.45082 5.1345644
|
||||
88.453606 5.0409527
|
||||
89.4564 4.950507
|
||||
90.45918 4.8487654
|
||||
91.46197 4.7431936
|
||||
92.46475 4.64871
|
||||
93.46754 4.5707674
|
||||
94.47032 4.4867187
|
||||
95.47311 4.3956923
|
||||
96.47589 4.308978
|
||||
97.478676 4.2200656
|
||||
98.48146 4.121357
|
||||
99.48425 4.004675
|
||||
100.48704 3.876544
|
||||
101.48982 3.749862
|
||||
102.49261 3.6186206
|
||||
103.49539 3.480858
|
||||
104.49818 3.3373597
|
||||
105.50096 3.1904325
|
||||
106.503746 3.0482006
|
||||
107.50653 2.9068234
|
||||
108.50932 2.7632055
|
||||
109.51211 2.621736
|
||||
110.51489 2.4763553
|
||||
111.51768 2.33616
|
||||
112.52046 2.219924
|
||||
113.52325 2.1094823
|
||||
114.52603 1.9892626
|
||||
115.52882 1.8689619
|
||||
116.5316 1.7576358
|
||||
117.534386 1.6642258
|
||||
118.53718 1.5729184
|
||||
119.53996 1.4829215
|
||||
120.54275 1.4054621
|
||||
121.54553 1.3275464
|
||||
122.54832 1.2654024
|
||||
123.5511 1.2165117
|
||||
124.55389 1.1615419
|
||||
125.55667 1.1109456
|
||||
126.559456 1.0769604
|
||||
127.56224 1.055147
|
||||
128.56503 1.0252388
|
||||
129.56781 0.9901923
|
||||
130.5706 0.96990806
|
||||
131.57338 0.95258635
|
||||
132.57617 0.9336768
|
||||
133.57896 0.9253882
|
||||
134.58174 0.91230047
|
||||
135.58453 0.90129495
|
||||
136.58731 0.9054593
|
||||
137.5901 0.91190815
|
||||
138.59288 0.909744
|
||||
139.59567 0.90060055
|
||||
140.59845 0.89651513
|
||||
141.60124 0.9008918
|
||||
142.60403 0.9136557
|
||||
143.60681 0.9320812
|
||||
144.6096 0.94551986
|
||||
145.61238 0.9487948
|
||||
146.61517 0.9600983
|
||||
147.61795 0.9731612
|
||||
148.62074 0.97801316
|
||||
149.62352 0.9859535
|
||||
150.62631 0.9945002
|
||||
151.62909 1.0036399
|
||||
152.63188 1.0150312
|
||||
153.63467 1.0259724
|
||||
154.63745 1.0369852
|
||||
155.64024 1.0350384
|
||||
156.64302 1.0357995
|
||||
157.64581 1.0359021
|
||||
158.64859 1.0297711
|
||||
159.65138 1.0229367
|
||||
160.65416 1.0179937
|
||||
161.65695 1.013861
|
||||
162.65974 1.0129942
|
||||
163.66252 1.0114627
|
||||
164.66531 1.0127962
|
||||
165.66809 1.0171802
|
||||
166.67088 1.013339
|
||||
167.67366 1.0141994
|
||||
168.67645 1.0218638
|
||||
169.67923 1.0163764
|
||||
170.68202 1.0101875
|
||||
171.68481 1.0091355
|
||||
172.68759 1.0096533
|
||||
173.69038 1.008341
|
||||
174.69316 1.0026432
|
||||
175.69595 1.0052398
|
||||
176.69873 1.0060496
|
||||
177.70152 0.9967013
|
||||
178.7043 0.9878458
|
||||
179.70709 0.9839804
|
||||
180.70987 0.9760148
|
||||
181.71266 0.9612156
|
||||
182.71545 0.95233417
|
||||
183.71823 0.94827366
|
||||
184.72102 0.95032763
|
||||
185.7238 0.9489888
|
||||
186.7266 0.9413412
|
||||
187.72937 0.9321435
|
||||
188.73216 0.9269663
|
||||
189.73494 0.9275942
|
||||
190.73773 0.931649
|
||||
191.74052 0.93175244
|
||||
192.7433 0.9294
|
||||
193.7461 0.9268199
|
||||
194.74887 0.92264336
|
||||
195.75166 0.91768956
|
||||
196.75444 0.91781014
|
||||
197.75723 0.9279098
|
||||
198.76001 0.9326931
|
||||
199.7628 0.9248333
|
||||
200.76558 0.9208289
|
||||
201.76837 0.92364204
|
||||
202.77116 0.9299292
|
||||
203.77394 0.9292018
|
||||
204.77673 0.9185374
|
||||
205.77951 0.91318405
|
||||
206.7823 0.9146962
|
||||
207.78508 0.91144925
|
||||
208.78787 0.90992945
|
||||
209.79065 0.911773
|
||||
210.79344 0.9122371
|
||||
211.79623 0.90611064
|
||||
212.79901 0.90441227
|
||||
213.8018 0.9121109
|
||||
214.80458 0.90272975
|
||||
215.80737 0.89632297
|
||||
216.81015 0.89989316
|
||||
217.81294 0.9051845
|
||||
218.81572 0.9100196
|
||||
219.81851 0.9102259
|
||||
220.8213 0.9135357
|
||||
221.82408 0.91254646
|
||||
222.82687 0.92026895
|
||||
223.82965 0.9256599
|
||||
224.83244 0.93140644
|
||||
225.83522 0.94289523
|
||||
226.83801 0.9277499
|
||||
227.84079 0.9251155
|
||||
228.84358 0.9344981
|
||||
229.84636 0.93383306
|
||||
230.84915 0.9371384
|
||||
231.85194 0.9566001
|
||||
232.85472 0.98191655
|
||||
233.85751 1.0115029
|
||||
234.86029 1.052593
|
||||
235.86308 1.0647767
|
||||
236.86586 1.0809778
|
||||
237.86865 1.1169581
|
||||
238.87143 1.144694
|
||||
239.87422 1.1597354
|
||||
240.87701 1.1733167
|
||||
241.87979 1.1917465
|
||||
242.88258 1.2060626
|
||||
243.88536 1.2150607
|
||||
244.88815 1.224319
|
||||
245.89093 1.2263381
|
||||
246.89372 1.2341791
|
||||
247.8965 1.2424152
|
||||
248.89929 1.253828
|
||||
249.90208 1.259936
|
||||
250.90486 1.2629273
|
||||
251.90765 1.2670362
|
||||
252.91043 1.2750268
|
||||
253.91322 1.2844045
|
||||
254.916 1.2853887
|
||||
255.9188 1.2811004
|
||||
256.92157 1.2833349
|
||||
257.92435 1.2966868
|
||||
258.92715 1.3158177
|
||||
259.92993 1.3382878
|
||||
260.9327 1.3550657
|
||||
261.93552 1.370769
|
||||
262.9383 1.3981235
|
||||
263.94107 1.4086291
|
||||
264.94385 1.4224737
|
||||
265.94666 1.4538087
|
||||
266.94943 1.4778475
|
||||
@@ -0,0 +1,89 @@
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
x_data = np.linspace(0,10,150)
|
||||
y1 = np.sin(3*x_data+(3.14159/2))
|
||||
y2 = 1.5*np.e**(-0.7*x_data)
|
||||
y3 = 1.5*np.e**(-0.7*x_data)*np.sin(3*x_data+(3.14159/2))
|
||||
|
||||
|
||||
################################# BASIC PLOT CODE #################################
|
||||
|
||||
# Basic Styling
|
||||
plt.rcParams.update({
|
||||
'font.family': 'Courier New', # monospace font
|
||||
'font.size': 20, # Fonts
|
||||
'axes.titlesize': 30, # |
|
||||
'axes.labelsize': 25, # V
|
||||
'xtick.labelsize': 20,
|
||||
'ytick.labelsize': 20,
|
||||
'legend.fontsize': 20,
|
||||
'figure.titlesize': 30,
|
||||
'figure.figsize': [9,6] # Figure Size
|
||||
})
|
||||
|
||||
# Figure Setup
|
||||
fig, ax = plt.subplots()
|
||||
title = 'Damped Oscillation' # Title
|
||||
xlab = 'Time' # X Label
|
||||
ylab = 'Force' # Y Label
|
||||
ax.set_xlabel(xlab)
|
||||
ax.set_ylabel(ylab)
|
||||
ax.set_title(title, pad=40)
|
||||
#fig.suptitle(title)
|
||||
|
||||
x_min = 0 # Axis Limits and Ticks
|
||||
x_max = 10
|
||||
x_step = 1
|
||||
|
||||
y_min = -1.5
|
||||
y_max = 1.6
|
||||
y_step = 1
|
||||
|
||||
ax.set_xlim(x_min,x_max)
|
||||
ax.set_xticks(np.arange(x_min,x_max,x_step))
|
||||
ax.set_xticks(np.arange(x_min,x_max,0.5), minor=True)
|
||||
|
||||
ax.set_ylim(y_min,y_max)
|
||||
ax.set_yticks(np.arange(y_min,y_max,y_step))
|
||||
ax.set_yticks(np.arange(y_min,y_max,0.5),minor=True)
|
||||
|
||||
#ax.minorticks_on()
|
||||
|
||||
ax.grid(True, which='major',alpha=0.5)
|
||||
ax.grid(True, which='minor',alpha=0.2)
|
||||
|
||||
|
||||
###################### 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
|
||||
|
||||
# plt.show()
|
||||
|
||||
###################### Multi Line ######################
|
||||
x = [x_data,x_data,x_data] # List of Lists
|
||||
y = [y1,y2,y3] # List of Lists
|
||||
|
||||
#### Lists must be equal length ###
|
||||
|
||||
dl = ['Sine Part', 'Exponential Part','Result'] # Data Labels (list)
|
||||
lc = ['#ae5a41', '#559e83','#5a5255'] # Line Color |
|
||||
ls = ['--','--','-'] # Line Style |
|
||||
lw = ['1','1','2'] # Line Width V
|
||||
|
||||
for i in range(len(x)):
|
||||
ax.plot(x[i],y[i],label=dl[i],color=lc[i],linestyle=ls[i],linewidth=lw[i])
|
||||
|
||||
ax.legend(loc='center', bbox_to_anchor=(0.5, 1.04), ncol=len(x), frameon=False, columnspacing=1, handlelength=0.75,
|
||||
handletextpad=0.2)
|
||||
# anchor loc is based on the plot area, 0.5 is half the width, 1.01 is just above the top
|
||||
|
||||
|
||||
plt.tight_layout()
|
||||
plt.show()
|
||||
|
||||
@@ -0,0 +1,117 @@
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
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
|
||||
|
||||
x_meas, y_meas = get_data('Plotting\Base\Measured.txt')
|
||||
x_sim, y_sim = get_data("Plotting\Base\Simulated.txt")
|
||||
|
||||
#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([0.1047,1]) # 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([24.04,24.68]) # 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],[.107,.107],[0,.125],[0,.125]] # List of Lists
|
||||
y = [y_meas,y_sim,[0,1.1],[0,12.5],[24.04,24.04],[24.68,24.68]] # 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()
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user