To remove a specific line or curve in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Plot line1 and line2 using plot() method.Pop the second line and remove it.To display the figure, use show() method.Examplefrom matplotlib import pyplot as ... Read More

To set a colormap of an image, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Read an image from a file into an array.Pick one channel of your data.Display the data as an image, i.e., on a 2D regular raster ... Read More

To plot at full resolution with matplotlib.pyplot, imshow() and savefig(), we can keep the dpi value from 600 to 1200.StepsSet the figure size and adjust the padding between and around the subplots.Set random values in a given shape.Display the data as an image, i.e., on a 2D regular rasterSave the ... Read More

Pseudocolor can be a useful tool for enhancing the contrast and visualizing your data more easily. This is especially useful when making presentations of your data using projectors(because their contrast is typically quite poor).Pseudocolor is only relevant to single-channel, grayscale, luminosity images. We currently have an RGB image. Since R, ... Read More

To plot 3D scatter plots in Python with hue colormap and legend, we can take the following steps−Set the figure size and adjust the padding between and around the subplotsCreate x, y and z data points using numpy.Create a new figure or activate an existing figure using figure() method.Get the ... Read More

To fix the deprecation warning that comes while using a deprecated method, we can use warnings.filterwarnings("ignore") in the code.−Examplefrom matplotlib import pyplot as plt, pylab as pl import warnings plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True warnings.filterwarnings("ignore") pl.pause(0) plt.show()OutputProcess finished with exit code 0Read More

To plot customized legend symbols on a plot, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Inherit HandlerPatch class, override create artists method, add an elliptical patch to the plot, and return the patch handler.Plot a circle on the plot ... Read More

To plot a single line that continuously changes color, we can take the following steps−Set the figure size and adjust the padding between and around the subplots.Create random x and y data points using numpy.Create a figure and a set of subplots.Iterate the index in the range of 1 to ... Read More

To set the Matplotlib title in bold while using "Times New Roman", we can use fontweight="bold".StepsSet the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Create x and y data points using numpy.Plot x and y data points using scatter() method.Set ... Read More

To plot a 3D surface from x, y and z scatter data in Python, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure using figure() method.Add an axes to the figure as ... Read More