![]() Gridspec_kw: This parameter is the dict with keywords passed to the GridSpec constructor used to create the grid the subplots are placed on. Subplot_kwd: This parameter is the dict with keywords passed to the add_subplot call used to create each subplot. Num: This parameter is the pyplot.figure keyword that sets the figure number or label. Squeeze : This parameter is an optional parameter and it contains boolean value with default as True. Sharex, sharey : These parameter controls sharing of properties among x (sharex) or y (sharey) axes. Nrows, ncols - These parameter are the number of rows/columns of the subplot grid. (nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True, subplot_kw=None, gridspec_kw=None, **fig_kw) To build subplots using Matplotlib, use the subplots() function from the Pyplot class in Matplotlib. Subplots help you analyze multiple plots side-by-side, demonstrating different aspects of a problem. Subplots in Matplotlib refer to having multiple plots inside a single Matplotlib figure. How to have shared axis for Matplotlib subplots?.If you wish to explore other plotting techniques, you can navigate backward or forward. To further enhance your matplotlib capabilities, download more examples. Plt.title( 'Legend Positioned Outside to the Right') ![]() ![]() Here’s a complete implementation: import matplotlib.pyplot as plt To locate the legend externally on the right, we need to resize the plot and set the legend’s position relative to it: chartBox = ax.get_position()Īx.set_position()Īx.legend(loc= 'upper center', bbox_to_anchor=( 1.45, 0.8), shadow= True, ncol= 1) To shift the legend to the top of your visualization, modify the bbox_to_anchor values: ax.legend(loc= 'upper center', bbox_to_anchor=( 0.5, 1.00), shadow= True, ncol= 2)Ĭomplete code for this setup: import matplotlib.pyplot as pltĪx.legend(loc= 'upper center', bbox_to_anchor=( 0.5, 1.00), shadow= True, ncol= 2) Positioning the Matplotlib Legend at the Top Additionally, a shadow effect has been added for aesthetic purposes.Ĭomplete code example: import matplotlib.pyplot as pltĪx.legend(loc= 'upper center', bbox_to_anchor=( 0.5, - 0.05), shadow= True, ncol= 2) Note the introduction of the ncol=2 parameter, which sets the number of columns in the legend. To move the legend to the bottom of your chart, you can adjust the legend() parameters as shown: ax.legend(loc= 'upper center', bbox_to_anchor=( 0.5, - 0.05), shadow= True, ncol= 2) Positioning the Matplotlib Legend at the Bottom ![]() Y2 = Īx.plot(x, y2, label= '$y2 = other numbers') Here’s a practical example: import matplotlib.pyplot as plt Utilizing matplotlib’s legend() function, one can seamlessly position the legend within the chart. Positioning the Matplotlib Legend Inside the Chart
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