Transcription of Basic Plotting with Python and Matplotlib
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Basic Plotting with Python and Matplotlib
Basic Plotting with Python and MatplotlibThis guide assumes that you have already installed NumPy and Matplotlib for your Python can check if it is installed by importing it:import numpy as npimport as plt # The code below assumes this convenient renamingFor those of you familiar with MATLAB, the Basic Matplotlib syntax is very Line plotsThe Basic syntax for creating line plots (x,y), wherexandyare arrays of the same length thatspecify the (x, y) pairs that form the line. For example, let s plot the cosine function from 2 to 1. To doso, we need to provide a discretization (grid) of the values along thex-axis, and evaluate the function oneachxvalue. This can typically be done = (-2, 1, ) # Grid of spacing from -2 to 10yvals = (xvals) # Evaluate function on (xvals, yvals) # Create line plot with yvals against () # Show the figureYou should put last after you have made all relevant changes to the plot .
plt.plot(xvals, newyvals, ’r--’) # Create line plot with red dashed line plt.title(’Example plots’) plt.xlabel(’Input’) plt.ylabel(’Function values’) plt.show() # Show the figure (remove the previous instance) The third parameter supplied to plt.plot above is …
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