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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.
- Matplotlib.Pyplot.Scatter
The plot function will be faster for scatterplots where...
- plot(x, y)
plot (x, y) #. Plot y versus x as lines and/or markers. See...
- Matplotlib.Pyplot.Scatter
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.
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.
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
plot (x, y) #. Plot y versus x as lines and/or markers. See plot. import matplotlib.pyplot as plt import numpy as np plt.style.use('_mpl-gallery') # make data x = np.linspace(0, 10, 100) y = 4 + 1 * np.sin(2 * x) x2 = np.linspace(0, 10, 25) y2 = 4 + 1 * np.sin(2 * x2) # plot fig, ax = plt.subplots() ax.plot(x2, y2 + 2.5, 'x', markeredgewidth=2) ax.
Using one-liners to generate basic plots in matplotlib is fairly simple, but skillfully commanding the remaining 98% of the library can be daunting. This article is a beginner-to-intermediate-level walkthrough on matplotlib that mixes theory with examples.
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.
