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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
The Lifecycle of a Plot. The Lifecycle of a Plot. Artist...
- Pyplot tutorial
Each pyplot function makes some change to a figure: e.g.,...
- Matplotlib.Pyplot.Scatter
A scatter plot of y vs. x with varying marker size and/or...
- Tutorials
Learn how to use matplotlib.pyplot to create and customize plots with points in Python. See examples of plotting with lists, arrays, keyword strings, categorical variables, and line properties.
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
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. Parameter 1 is an array containing the points on the x-axis.
A scatter plot of y vs. x with varying marker size and/or color. Parameters: x, y float or array-like, shape (n, ) The data positions. s float or array-like, shape (n, ), optional. The marker size in points**2 (typographic points are 1/72 in.). Default is rcParams['lines.markersize'] ** 2.
Learn how to create production-quality graphics with Python's matplotlib library, a powerful and comprehensive tool for data visualization. This tutorial covers the basics, the object hierarchy, the stateful and stateless approaches, and more.
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.
