To show mouse release event coordinates with matplotlib, we can take the following steps−Set the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Plot a line in the range of 10.Bind the function *onclick* to the event *button_release_event*.Print event and its ... Read More

To make longer subplot tick marks in matplotlib, we can use tick_params() method for minor and major ticks length and width.StepsAdd a subplot to the current figure using subplot() method.Plot a range(2) values for x and y data points.Turn the minor ticks of the colorbar ON without extruding into the ... Read More

To make bold font weight LaTeX axes label in matplotlib, we can take the following steps−Create x and y data points using numpy.Using subplot() method, add a subplot to the current figure.Set x and y ticks with data points x and y using set_xticks and set_yticks methods, respectively.Plot x and ... Read More

To make bold font weight LaTeX axes label in matplotlib, we can take the following steps−Create data points for x.Create data points for y, i.e., y=sin(x).Plot the curve x and y with LaTex representation.To activate the label, use legend() method.To display the figure, use show() method.Exampleimport numpy as np from ... Read More

Matplotlib does not support the functionality to plot implicit equations, however, you can try a code like the one we have shown here.StepsCreate xrange and yrange data points using numpy.Return coordinate matrices from coordinate vectors using meshgrid() method.Create an equation from x and y.Create a 3D contour using contour() method ... Read More

To set the aspect ratio of a 3D plot in matplotlib, we can take the following steps−Using figure() method, create a new figure or activate an existing figure.Get the current axes, creating one if necessary, with projection='3d'.Create data points, R, Y and z, using numpy.Create a surface plot using R, ... Read More

To plot a Cartesian coordinate system in matplotlib, we can take the following Steps −Initialize a variable (N) with a value.Create random data points for x and y.Plot the points using scatter method with x and y data points.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot ... Read More

To plot multiple X or Y axis, we can use twinx() or twiny() methods, we can take the following Steps −Using subplots() method, create a figure and a set of subplots.Plot [1, 2, 3, 4, 5] data points on the left Y-axis scales.Using twinx() method, create a twin of Axes ... Read More

To get empty tick labels before showing a plot in matplotlib, we can take the following Steps −Create a list of data points.Add a subplot to the current figure using subplot() method.Set ticks and ticklabels using set_xticks() method and set_xticklabels() method.To get the empty tick labels, use get_xticklabels(which='minor').To display the ... Read More

Gaussian filtering an image with NaN values makes all the values of a matrix NaN, which produces an NaN valued matrix.StepsCreate a figure and a set of subplots.Create a matrix with NaN value in that matrix.Display the data as an image, i.e., on a 2D regular raster, data.Apply Gaussian filter ... Read More