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To increase colormap/linewidth quality in streamplot matplotlib, we can take the following stepsStepsSet the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Create x and y data points and then use np.meshgrid() to return the coordinate matrices from the coordinate vectors.Find X and Y using x and y data points.Create a streamplot with x, y, X and Y data points. You can increase the linewidth using the linewidth parameter in the method. Here we have used linewidth=5.Create a colorbar for a ScalarMappable instance, *stream.lines*.To display the figure, use Show() method.Exampleimport numpy ... Read More
To change the transparency/opaqueness of a matplotlib table, we can atke following stepsStepsSet the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Create a random dataset with 10×3 dimension.Create a tuple of columns.Get rid of the axis markers using axis('off').Create a table with data and columns.Iterate each cell of the table and change its transparency/opaqueness using set_alpha() method.To display the figure, use Show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig, axs = plt.subplots(1, 1) data = np.random.random((10, 3)) ... Read More
To embed a matplotlib animation into a tkinter frame, we can take the following stepsStepsSet the figure size and adjust the padding between and around the subplots.Create a Toplevel widget of Tk which represents mostly the main window of an applicationSet the title of this widget.Add an axes to the current figure and make it the current axes.Create a new figure or activate an existing figure.Add an 'ax' to the figure as part of a subplot arrangement.Make a dummy line plot with linewidth=2.Create the canvas the figure renders into.Create the figure canvas on which to operate.Create a keypress event to ... Read More
To save multiple figures in one PDF file at once, we can take follwong stepsStepsSet the figure size and adjust the padding between and around the subplots.Create a new figure (fig1) or activate and existing figure using figure() method.Plot the first line using plot() method.Create another figure (fig2) or activate and existing figure using figure() method.Plot the second line using plot() method.Initialize a variable, filename, to make a pdf file.Create a user-defined function save_multi_image() to save multiple images in a PDF file.Call the save_multi_image() function with filename.Create a new PdfPages object.Get the number of open figures.Iterate the opened figures and ... Read More
To show a 2D array as a grayscale image in Jupyter Notebook, we can take the following stepsStepsSet the figure size and adjust the padding between and around the subplots.Create a random data using numpy.Display the data as an image, i.e., on a 2D regular raster, with gray colormap.To display the figure, use Show() method.Examplefrom matplotlib import pyplot as plt import numpy as np # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Random data points data = np.random.rand(5, 5) # Plot the data using imshow with gray colormap plt.imshow(data, cmap='gray') # ... Read More
To fill the region between a curve and X-axis in Python using Matplotlib, we can take the following stepsStepsSet 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.Fill the area between the curve and the X-axis using fill_between() method.To display the figure, use Show() method.Exampleimport matplotlib.pyplot as plt import numpy as np # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Create x and y data points x = np.linspace(-5, 5, 100) y = np.sin(x) ... Read More
To use colorbar with hist2d in matplotlib.pyplot, we can take the following steps.StepsSet the figure size and adjust the padding between and around the subplots.Initialize a variable "N" for the number of sample data.Createx and y data points using numpy.Create a figure and a set of subplots using subplots() method.Make a 2D histogram plot using hist2D().Create a colorbar for the hist2d scalar mappable instance.To display the figure, use Show() method.Examplefrom matplotlib.colors import LogNorm import matplotlib.pyplot as plt import numpy as np # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Number of sample data ... Read More
To use unicode symbols in matplotlib, we can take the following steps.StepsSet the figure size and adjust the padding between and around the subplots.Add text to figure, using text() method with unicode symbols. Here we have used the Unicode chararacter (Δ) which has the character code (0394).To display the figure, use Show() method.Exampleimport matplotlib.pyplot as plt # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Unicode symbol plt.text(0.5, 0.5, s=u"\u0394", fontsize=50) # Display the plot plt.show() OutputIt will produce the following output −Now, let's use another Unicode character (\u2734).It will produce the following ... Read More
Tp append a single labeled tick to X-axis using 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 x and y data points using plot() method.Set xticks at a single point.Set the tick label for single tick point.To display the figure, use Show() method.Exampleimport numpy as np import matplotlib.pyplot as plt # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Create x and y data points x = np.linspace(-5, 5, 50) y = np.sin(x) # Plot ... Read More
The ng-class Directive in angularjs allows the user to dynamically set the CSS classes on an HTML element by databinding an expression which will further represent all those classes to be added. The class is only added if the expression inside the ngClass Directive returns True, else it will not be added. It is supported by all the HTML elements.The directive does not set any duplicate class if it was already set. When the expression changes, the previously added classes will be removed and the new classes will be added only after that.Syntax..Content..Example − ngClass DirectiveCreate a file "ngClass.html" in ... Read More