Αποτελέσματα Αναζήτησης
matplotlib.axes.Axes.plot# Axes. plot (* args, scalex = True, scaley = True, data = None, ** kwargs) [source] # Plot y versus x as lines and/or markers. Call signatures:
- Matplotlib.Axes
The Axes class represents one (sub-)plot in a figure. It...
- Introduction to Axes (or Subplots)
Matplotlib Axes are the gateway to creating your data...
- Matplotlib.Axes
Learn how to use the Axes class to create and manipulate plots in matplotlib. The web page lists the methods for basic, spectral, statistical, binned, contour, 2D array, unstructured triangle, text and annotation, vector field, and clearing operations.
Matplotlib Axes are the gateway to creating your data visualizations. Once an Axes is placed on a figure there are many methods that can be used to add data to the Axes. An Axes typically has a pair of Axis Artists that define the data coordinate system, and include methods to add annotations like x- and y-labels, titles, and legends.
By mastering the art of formatting axes in Matplotlib, you’ll be able to create professional-looking charts and graphs that effectively communicate your data. When formatting axes in Matplotlib, you have control over various elements, including: Axis labels. Tick marks and tick labels. Axis limits and scales.
13 Ιουν 2013 · You can use the plot function of a specific axes: import matplotlib.pyplot as plt from scipy import sin, cos f, ax = plt.subplots(2,1) x = [1,2,3,4,5,6,7,8,9] y1 = sin(x) y2 = cos(x) plt.sca(ax[0]) plt.plot(x,y1) plt.sca(ax[1]) plt.plot(x,y2) plt.show() This should plot to the two different subplots.
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.
Learn how to create plots with two y-axes in Matplotlib to visualize datasets with different y-scales on the same plot.
