Suppose I made 2 plots overlaid on one another. I am using legend command to distinguish between the two. I used legend([log(x) , log(y)]) to add legend to plot.
Answers
Answer:the command is correct
Explanation:
That is correct
Answer:
The command is incorrect; log(x), log(y), and the rest should all be inverted commas.
Explanation:
When you add or remove data series from the axes, the legend immediately updates. The gca command returns a legend that was created in the current axes by this command. The legend is empty if the current axes are empty. If there are no axes, a Cartesian axes is created by legend.
In order to improve understanding of the plotted graphs, it entails the establishment of titles, indexes, and plot box arrangement.
The numerous plot elements are given meaning by plot legends, which give a graphical context. We previously looked at how to make a straightforward legend; in this section, we'll look at customizing the legend's positioning and appearance in Matplotlib.
By default, the legend contains all items with labels. Using the objects supplied by plot commands, we may precisely control which components and labels appear in the legend if that is not what is required.
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