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The data for the animated line plot will be generated randomly using Python's randint() function from the random module in the Standard Library. We are going to build upon that static line plot and create an animated line plot. The previous plot we just built was a static line plot. Next, we'll build an animated line plot with Matplotlib. set_title ( 'Temperature in Portland, OR over 7 days' ) # save and show the plot fig. subplots () # plot the data and customize ax. # static_plot.py # import necessary packages import matplotlib.pyplot as plt # data data_lst = # create the figure and axis objects fig, ax = plt. You can create a new virtual environment by opening the Anaconda Prompt and typing: I recommend undergraduate engineers use the Anaconda distribution of Python which comes with the Anaconda Prompt. Real Python has a good introduction to virtual environments and why to use them. To start the coding process, we will set up a new Python virtual environment. Now that the pre-requisites are out of the way, let's start coding! Set up a Python virtual environment You have some familiarity with navigating through directories and files using a terminal or the Anaconda Prompt with commands like cd, cd.You have a general understanding of how files are organized on your computer into directories and sub-directories. INSTALL MATPLOTLIB PYTHON HOW TOpy file) using a terminal prompt, like the Anaconda Prompt, or know how to run a Python program using your IDE.
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