Hướng dẫn multiple plots in python
Prerequisites: Matplotlib Show Nội dung chính
In Matplotlib, we can draw multiple graphs in a single plot in two ways. One is by using subplot() function and other by superimposition of second graph on the first i.e, all graphs will appear on the same plot. We will look into both the ways one by one. Multiple Plots using subplot () FunctionA subplot () function is a wrapper function which allows the programmer to plot more than one graph in a single figure by just calling it once.
Example : Python3
Output Multiple plots using subplot() function In Matplotlib, there is another function very similar to subplot which is subplot2grid (). It is same almost same as subplot function but provides more flexibility to arrange the plot objects according to the need of the programmer. This function is written as follows:
Example : Python3
Output Multiple Plots using subplot2grid() function Plotting in same plotWe have now learnt about plotting multiple graphs using subplot and subplot2grid function of Matplotlib library. As mentioned earlier, we will now have a look at plotting multiple curves by superimposing them. In this method we do not use any special function instead we directly plot the curves one above other and try to set the scale. Example : Python3
Output sine and cosine function curve in one graph How do you plot multiple things on one graph in Python?Call matplotlib. pyplot. plot(x, y) with x and y set to arrays of data points to construct a plot. Calling this function multiple times on the same figure creates multiple plots in the same graph. How do you plot multiple values in Python?Set the figure size and adjust the padding between and around the subplots.. Create random xs and ys data points using numpy.. Zip xs and ys. Iterate them together.. Make a scatter plot with each x and y values.. To display the figure, use show() method.. |