114 lines
3.8 KiB
Python
114 lines
3.8 KiB
Python
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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lines = file.readlines()
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x = []
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y = []
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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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x.append(float(data[0]))
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y.append(float(data[1]))
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return x, y
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x, y = get_data('Python/Plotting/Base/10k_rpm.txt')
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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': [10,5] # 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 = '10,000 rpm Jetfire' # Title
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xlab = 'Power [kW]' # X Label
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ylab = 'BSFC [g/kW-h]' # 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 = 2.5 # Axis Limits and Ticks
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x_max = 10
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x_step_maj = 1 #steps not division
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x_step_min = .25
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y_min = 340
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y_max = 550
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y_step_maj = 25
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y_step_min = 5
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ax.set_xlim(x_min,x_max) # X limits
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ax.set_xticks([3,4,5,6,7,8,9,10]) # 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='2')
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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.tight_layout()
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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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# 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() |