My Customized Stencil-o-Matic

thingiverse

It appears you've shared some code snippets with specific parameters related to visual plotting tools, specifically `Matplotlib`. You'll find detailed guides on the internet if you need more about them. Here's how you might create simple charts based off these data points using a common and powerful Python visualization library like Matplotlib: ```python import matplotlib.pyplot as plt # Example data 1 (Assuming you have multiple data sources) x = [100, 200, 300] y1 = [50, 120, 140] y2 = [150, 90, 200] plt.plot(x, y1, label='Series 1') plt.plot(x, y2, label='Series 2') plt.title('Simple Example of Two Series Data') plt.xlabel('X-Axis') plt.ylabel('Y-Axis') plt.legend() plt.show() # Handling more data points (Multiple Subplots) import matplotlib.pyplot as plt fig, axs = plt.subplots(2) axs[0].bar(x=[1, 2, 3], height=[20, 30, 40]) axs[0].set_title('First Series') axs[0].set_xlabel('X-Axis') axs[0].set_ylabel('Y-Axis') # Add more data to the second subplot x = [4, 5, 6] y3 = [150, 90, 200] axs[1].bar(x=[4, 5, 6], height=y3) axs[1].set_title('Second Series') axs[1].set_xlabel('X-Axis') axs[1].set_ylabel('Y-Axis') plt.tight_layout() plt.show() # Display more specific information or handle each case def display_plot(x_data, y_data, title): import matplotlib.pyplot as plt # Creating the plot plt.plot(x_data, y_data) # Add some text for good measure plt.title(title) # Display data on plot for i in range(len(x_data)): plt.annotate('({}, {})'.format(x_data[i],y_data[i]), xy=(x_data[i], y_data[i])) plt.show() # Example calls display_plot([1,2,3], [10,15,20], "Test Title") ``` This will create some simple line and bar charts. Feel free to add, subtract or modify these examples as per your needs.