To add a title on Seaborn Implot, we can take the following steps−Set the figure size and adjust the padding between and around the subplots.Make a Pandas dataframe with two columns, X-Axis and Y-AxisUse implot() method.Get the current axis using gca() method.To display the figure, use show() method.Exampleimport pandas import ... Read More

To plot a transparent Poly3DCollection plot in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplotsCreate a new figure or activate an existing figure.Add an '~.axes.Axes' to the figure as part of a subplot arrangement with projection=3d.Create x, y ... Read More

To install Matplotlib in virtualenv, we can take the following steps in terminal −vritualenv source env/bin/activatepip install matplotlibpip freeze > requirements.txtcat requirements.txt (To see the Matplotlib details)

To plot two horizontal bar charts sharing the same Y-axis, we can use sharey=ax1 in subplot() method and for horizontal bar, we can use barh() method.StepsCreate lists for data points.Create a new figure or activate an existing figure using figure() methodAdd a subplot to the current figure using subplot() method, ... Read More

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