Making Graphs in Python using Matplotlib for Beginners

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Data and analytics are becoming increasingly important in our world and in modern day businesses. To start off with data analytics (and ultimately provide nice images of our results), we need to be able to plot our data, preferably in the way we imagine it in our heads. Matplotlib provides many great plotting opportunities and methods for data visualization, and in this course we will be looking at some introductory methods for getting started with creating plots in Python. Once we have a starting point for plotting data we can easily expand our knowledge to different areas to make sure we can best represent all of our data. Who is the target audience? Anyone interested in analyzing data Anyone who needs to visualize data People who want to incorporate data visualization into their vode Anyone who is interested in expanding their Python knowledge
  • Basics of plotting with matplotlib
    01:33:27
    • Introduction to Matplotlib
      00:02:51
    • Importing Libraries in Python
      00:08:40
    • Dealing with Files in Python
      00:14:18
    • Making Line and Scatter Plots
      00:14:07
    • Adding Labels, Titles, Axis Ticks, and Changing Line Styles
      00:08:52
    • Rotating Axis Ticks, Adding Text and Annotations
      00:07:57
    • Adjusting Plot Sizes, Adding a Legend, and Saving the Plot
      00:08:33
    • Creating 1-Dimensional and 2-Dimensional Histograms
      00:13:42
    • Changing the Axis Scale
      00:13:27
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