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  1. plot([x], y, [fmt], *, data=None, **kwargs) plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs) The coordinates of the points or line nodes are given by x, y. The optional parameter fmt is a convenient way for defining basic formatting like color, marker and linestyle.

    • Tutorials

      This page contains a few tutorials for using Matplotlib. For...

    • Pyplot tutorial

      matplotlib.pyplot is a collection of functions that make...

  2. seaborn is a high-level api for matplotlib, and offers additional options for plotting single points. sns.lineplot and sns.scatterplot are axes-level plots. sns.lineplot has keyword arguments, which are passed to matplotlib.axes.Axes.plot

  3. Learn how to use matplotlib.pyplot to create and customize plots with various line styles, colors, and formats. See examples of plotting with lists, arrays, keyword strings, and categorical variables.

  4. Plotting x and y points. The plot() function is used to draw points (markers) in a diagram. By default, the plot() function draws a line from point to point. The function takes parameters for specifying points in the diagram.

  5. matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, *, edgecolors=None, plotnonfinite=False, data=None, **kwargs)[source] #. A scatter plot of y vs. x with varying marker size and/or color.

  6. Learn how to create production-quality graphics with matplotlib, a comprehensive library for data visualization. Explore key concepts, examples, and tips for plotting points, arrays, and more.

  7. To plot points using Matplotlib, you can use plot() function in matplotlib.pyplot. Pass points on the X and Y axis in arrays as arguments to plot() function, and the marker value as third argument.

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