![]() ![]() You also learned how to control these titles globally and how to reset values back to their default values. You also learned how to control the style, size, and position of these titles. In this tutorial, you learned how to use Matplotlib to add titles, subtitles, and axis labels to your plots. update() method again and pass in the default values: # Restoring rcParams back to default values In order to restore values to their default values, we can use the. Matplotlib stores the default values in the rcParamsDefault attribute. Once youâve set the rcParams in Matplotlib, you may want to reset these styles in order to ensure that the next time you run your script that default values are applied. Resetting Matplotlib Title Styles to Default Values If youâre curious about the different rcParams that are available, you can print them using the () method. Plt.ylabel('y-Axis Title', style='italic', loc='bottom') Plt.xlabel('x-Axis Label', fontweight='bold') ![]() fig plt.figure() Adds a subplot at the 1st position. Example usage for the above is: from matplotlib import pyplot as plt. ![]() Letâs see how we can add and style axis labels in Matplotlib: # Adding Axis Labels to a Matplotlib Plot The first one being the number of rows in the grid, the second one being the number of columns in the grid and the third one being the position at which the new subplot must be placed. Use plt.subplotsadjust(wspace, hspace).The default value is 0.ylabel() adds an y-axis label to your plot wspace stands for width space, hspace stands for height space. xlabel() adds an x-axis label to your plot We can add axis titles using the following methods: This is part of the incredible flexibility that Matplotlib offers. Matplotlib handles the styling of axis labels in the same way that you learned above. Axis labels provide descriptive titles to your data to help your readers understand what your dad is communicating. In this section, youâll learn how to add axis labels to your Matplotlib plot. In the next section, youâll learn how to add and style axis labels in a Matplotlib plot. While this is an official way to add a subtitle to a Matplotlib plot, it does provide the option to visually represent a subtitle. Y = Īdding a subtitle to your Matplotlib plot Letâs see how we can use these parameters to style our plot: # Adding style to our plot's title The ones above represent the key parameters that we can use to control the styling. There are many, many more attributes that you can learn about in the official documentation. family= controls the font family of the font.fontweight= controls the the weight of the font.loc= controls the positioning of the text.fontsize= controls the size of the font and accepts an integer or a string.title() method in order to style our text: Letâs take a look at the parameters we can pass into the. Matplotlib provides you with incredible flexibility to style your plotâs title in terms of size, style, and positioning (and many more). Changing Font Sizes and Positioning in Matplotlib Titles This is what youâll learn in the next section. We can easily control the font styling, sizing, and positioning using Matplotlib. Line 7-10: Index the ax array to plot different subplots on the figure fig.We can see that the title is applied with Matplotlibâs default values.Line 5: Generate some data using numpy.Line 4: Generate a figure with 2 rows and 2 columns of subplots.Line 1-2: Import matplotlib.pyplot for plotting and numpy for generating data to plot.Here is an example on how to use the method: ax: A single object of the axes.Axes object if there is only one plot, or an array of axes.Axes objects if there are multiple plots, as specified by the nrows and ncols.fig: The object to be used as a container for all the subplots.Here is an explanation of the tuple returned by the function: **fig_kw: Any additional keyword arguments to be passed to pyplot.figure call.gridspec_kw: Dict of grid specifications passed to GridSpec constructor to place grids on each subplot.subplot_kw: Dict of keywords to be passed to the add_subplot call to add keywords to each subplot.squeeze: Boolean value specifying whether to squeeze out extra dimension from the returned axes array ax.Possible values are none, all, row, col or a boolean with a default value of False. sharex, sharey: Specifies sharing of properties between axes. ![]() Both of these are optional with a default value of 1. nrows, ncols: Number of rows and columns of the subplot grid.Given below is the detail of each parameter to the method: ![]()
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