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You can add a title to a base R plot using the title function. This is equivalent to set the argument main of the plot function. The title function also supports adding a subtitle with the sub argument. You can also specify the axis labels using this function.

Program Approach: Import matplotlib. pyplot module for visualization. Open sample. txt file in read mode 'r' with file open( ) function. Iterate through each line in the file using a for a loop. Append each row in the file into the list as required for our visualization. Using plt.

Use 'wrap_labs()' to wrap the title, subtitle, and caption of a ggplot2 chart onto multiple lines, left-align them, and split 'notes' and 'source' onto multiple lines.

Following steps were followed: Define the x-axis and corresponding y-axis values as lists. Plot them on canvas using . plot() function. Give a name to x-axis and y-axis using . xlabel() and . ylabel() functions. Give a title to your plot using . title() function. Finally, to view your plot, we use . show() function.

You can use strwrap and paste to automatically wrap the title of your graph. The width need to be adapted to your media width. R should do that automatically, nobody want cropped title.

First, you import the matplotlib. pyplot module and rename it to plt . Then you call plot() and pass the DataFrame object's "Rank" column as the first argument and the "P75th" column as the second argument. You can use both pyplot.

The matplotlib.pyplot.plot() function provides a unified interface for creating different types of plots. The simplest example uses the plot() function to plot values as x,y coordinates in a data plot. In this case, plot() takes 2 parameters for specifying plot coordinates: Parameter for an array of X axis coordinates.

The text() function allows us to put text on the plot where we want it. An obvious use is to label a line or group of points. This would give us two labels in the upper right corner of the plot, which with appropriate arrows could be used in place of a legend. Note that vectors were supplied as the coordinates.

You can use strwrap and paste to automatically wrap the title of your graph. The width need to be adapted to your media width. R should do that automatically, nobody want cropped title. I'm sure there's a more efficient way to do it, but it does the job.

Use 'wrap_labs()' to wrap the title, subtitle, and caption of a ggplot2 chart onto multiple lines, left-align them, and split 'notes' and 'source' onto multiple lines.