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To display the title at any other position of the plot use theme() function. Within theme() function use plot. title parameter with element_text() function as value to it. Again within this function pass the value for hjust attribute.

Plot data from a . txt file using matplotlib Set the figure size and adjust the padding between and around the subplots. Initialize empty lists for bar_names and bar_heights. Open a sample . txt file in read "r" mode and append to bar's name and height list. Make a bar plot. To display the figure, use show() method.

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.

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.

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.

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.

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.