To plot complex numbers using matplotlib, we can make a dataset with complex numbers.StepsSet the figure size and adjust the padding between and around the subplots.Create random complex numbers.Create a figure and a set of subplots using subplots() method.Plot the scatter points using scatter() method.To display the figure, use show() ... Read More

To plot multiple line graphs using Pandas and Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a 2D potentially heterogeneous tabular data using Pandas DataFrame class, where the column are x, y and equation.Get the reshaped dataframe organized ... Read More

To animate the line plot in matplotlib, we can take the following steps −Create a figure and a set of subplots using subplots() method.Limit x and y axes scale.Create x and t data points using numpy.Return coordinate matrices from coordinate vectors, X2 and T2.Plot a line with x and F ... Read More

To show multiple colorbars in 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.Initialize a variable N for the number of sample data.Create random data1 using numpy.Display data as an image, i.e., on ... Read More

To plot a circle with an edgecolor in matplotlib, we can take the following Steps −Create a new figure or activate an existing figure using figure() method.Add a subplot method to the current axis.Create a circle instance using Circle() class with an edgecolor and linewidth of the edge.Add a circle ... Read More

To plot a bar graph from a Pandas series in matplotlib, we can take the following Steps −Make a dictionary of different keys, between the range 1 to 10.Make a dataframe using Pandas data frame.Create a bar plot using plot() method with kind="bar".To display the figure, use show() method.Exampleimport pandas ... Read More

To change the axis tick font in matplotlib when rendering using LaTeX, 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, ... Read More

To show a plot in Flask, we can take the following steps−Make a small application.To run Flask application, go to the current directory.$ export FLASK_APP=file.py$ flask runOpen the browser, hit url:http://127.0.0.1:5000/print-plot/To plot the figure, we can create data points for x and y using random.Plot data points, x and y, ... Read More

To rotate tick labels in a subplot, we can use set_xticklabels() or set_yticklabels() with rotation argument in the method.Create a list of numbers (x) that can be used to tick the axes.Get the axis using subplot() that helps to add a subplot to the current figure.Set ticks on the X ... Read More

To write unit test cases against a code, we can consider a plot that takes an array as x points and plot it as y=x^2. While testing, we would extract y_data for x data points.−StepsCreate a method, i.e., plot_sqr_curve(x) to plot x and x^2 using plot() method and return the ... Read More