To plot a vector field over the axes in matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make X, Y, T, R, U and V data points using numpy.Add an axes to the current figure and make it the ... Read More

To plot two Pandas time series on the sameplot with legends and secondary Y-axis, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a one-dimensional ndarray with axis labels (including time series).Make a dataframe with some column list.Plot columns A ... Read More

To work with quiver, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create vector cordinates using numpy array.Get x, y, u and v data points.Create a new figure or activate an existing figure using figure() method.Get the current axis using ... Read More

To repress scientific notation in factorplot Y-axis in Seaborn/Matplotlib, we can use style="plain" in ticklabel_format()method.StepsSet the figure size and adjust the padding between and around the subplots.Make a dataframe with keys, col1 and col2.The factorplot() has been renamed to catplot().To repress the scientific notation, use style="plain" in ticklabel_format() method.To display ... Read More

To make axes transparent in matplotlib, 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.Axes' to the figure as part of a subplot arrangement.Set face color of ... Read More

To name different lines in the same plot of matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make two lists of data points.Plot point1 and point2 using plot() method.Place a legend on the figure.To display the figure, use show() ... Read More

To draw a circle on an image with matplotlib and numpy, 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.Create x and y data points using numpy.Create a figure and a set ... Read More

To change the legend fontname in matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x data points using numpy.Plot x, sin(x) and cos(x) using plot() method.Use legend() method to place the legend.Iterate legend.get_texts() and update the legend fontname.To ... Read More

To add units to a heatmap annotation in Seaborn, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a 5×5 dimension matrix using numpy.Plot rectangular data as a color-encoded matrix.Annotate heatmap value with %age unit.To display the figure, use show() ... Read More

To color a matplotlib scatterplot using continuous value, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x, y and z random data points using numpy.Create a figure and a set of subplots.Create a scatter plot.Draw a colorbar in an ... Read More