To specify different colors for different bars in a matplotlib histogram, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Plot a histogram with random data with 100 sample data.Iterate in the range of ... Read More

To fill a region with only hatch (no background color) in matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Initialize a variable n to store the number of sample data.Create a figure and a set of subplots.Plot the x ... Read More

To set a line color to orange, and specify line markers in matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Plot the x and y data points with the attributes color='orange' and ... Read More

To deal with NaN value while plotting a boxplot using Python, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Initialize a variable N for data samples and for range.Next create the random spread, center's data, flier high and low, get ... Read More

To plot a smooth line with matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create a list of data points, x and y.Plot the x and y data points.Create x_new and bspline data points for smooth line.Get y_new data ... Read More

In 3D computer graphics, a voxel represents a value on a regular grid in three-dimensional space. We can say a voxel is a 3D equivalent of a pixel that is used in 2D. A pixel is a square inside of a 2D image with a position in a 2D grid ... Read More

To avoid line color repetition in matplotlib.pyplot we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Plot the x and y data points using plot() method.In the plot() method, use a unique hexadecimal value ... Read More

To visualize values on logarithmic scale on matplotlib, we can use yscale('log').StepsImport matplotlib nd numpy.Set the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Use yscale('log') to visualize the values on a logarithmic scale.Plot x and y data points using plot ... Read More

To plot multiple horizontal bars in one chart with matplotlib, we can take the following steps −StepsImport the libraries pandas, matplotlib, and numpy.Set the figure size and adjust the padding between and around the subplots.Create an array for horizontal bar's position.Initialize a variable width for bar's width.Create a horizontal bar ... Read More

To shift the colorbar position to right in matplotlib, we can take the following steps −StepsImport numpy and matplotlib.Set the figure size and adjust the padding between and around the subplots.Initialize a variable N to store the number of sample data.Create x and y data points using numpy.Create a scatter ... Read More