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  1. Aug 13, 2024 · Plotting a line chart in Python using Matplotlib follows the basic procedure described above. You define your x-values and y-values, use plt.plot() to create the line, and then display the plot with plt.show(). You can also add titles and labels to make the chart more informative.

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  2. Learn how to plot y versus x as lines and/or markers using matplotlib.pyplot.plot function. See the syntax, parameters, format strings, and examples of plotting multiple sets of data.

  3. Learn how to create and style line charts in Python using Plotly, a powerful data visualization library. See how to use plotly.express, column encoding, dash, and date axes for line plots.

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  5. Learn how to draw a line plot with seaborn, a Python visualization library. See the parameters, examples, and options for customizing the plot with different semantics and aesthetics.

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    • the hit testing function
    • a matplotlib.transform.Bbox instance
    • Introduction to pyplot# matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc.
    • Plotting with keyword strings# There are some instances where you have data in a format that lets you access particular variables with strings. For example, with structured arrays or pandas.DataFrame.
    • Plotting with categorical variables# It is also possible to create a plot using categorical variables. Matplotlib allows you to pass categorical variables directly to many plotting functions.
    • Controlling line properties# Lines have many attributes that you can set: linewidth, dash style, antialiased, etc; see matplotlib.lines.Line2D. There are several ways to set line properties.
  6. Nov 22, 2023 · Learn how to plot a line plot in Matplotlib, a popular data visualization library in Python. See how to customize the plot, use logarithmic scales, and handle different types of data.

  7. Mar 29, 2023 · Learn how to create and customize line plots with Matplotlib, a powerful data visualization library in Python. This tutorial covers the basics of creating a simple line plot and then moves on to more advanced techniques, such as adding statistical information to plots.

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