To plot a spectrogram the same way that pylab's specgram() does, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create t, s1, s2, nse, x, NEFT and Fs data points using numpy.Create a new figure or activate an existing figure ... Read More

To save an array as a grayscale image with Matplotlib/numpy, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create random data with 5☓5 dimension.Set the colormap to "gray".Plot the data using imshow() method.To display the figure, use show() method.Exampleimport numpy ... Read More

To change the font size of the scale in Matplotlib, we can use labelsize in the tick_params() method.StepsSet the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Plot x data points using plot() method.To change the font size of the scale ... Read More

To plot categorical variables in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a dictionary with some details.Extract the keys and values from the dictionary (Step 2).Create a figure and a set of subplots.Plot bar, scatter and plot ... Read More

To use fivethirtyeight stylesheet, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.To use fivethirtyeight, we can use plt.style.use() method.Create x data points using numpy.Create a figure and a set of subplots using subplots() method.Plot three curves using plot() method.Set ... Read More

To add a line to a scatter plot using Python's Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a variable, n, for number of data points.Plot x and y data points using scatter() method.Plot a line using plot() ... Read More

To disable the keyboard shortcuts in Matplotlib, we can use remove('s') method.StepsSet the figure size and adjust the padding between and around the subplots.To disable the shortcut "s" to save the figure, use remove("s") method.Initialize a variable n for number of data points.Create x and y data points using numpyPlot ... Read More

To set the location of the minor ticks in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Create a figure and a set of subplots.Plot x and y data points using plot() ... Read More

To label and change the scale of a Seaborn kdeplot's axes, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create random data points using numpy.Plot Kernel Density Estimate (KDE) using kdeplot() method.Set Y-axis tscale and label.To display the figure, use ... Read More

We can take the following steps to make a broken bar plot, Set the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Plot a horizontal sequence of rectangles.Set x and y axes scale, X-axis label, Y ticks and Y tick labels.Configure ... Read More