Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
To update the plot title with Matplotlib using animation, 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.Create x and y data points using numpy.Get the current axis.Add text to the axes using text() method.Add an animate method that can be used to make an animation by repeatedly calling a function.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt, animation plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ... Read More
To color the edges by weight in networkx, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a graph with edges, name, or graph attributes.Add nodes to the current graph.Add edges to the current graph's nodes.Iterate the given graph's edges and set some weight to them.Draw current graphs with weights for edge color.To display the figure, use show() method.Exampleimport random as rd import matplotlib.pylab as plt import networkx as nx plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True G = nx.DiGraph() G.add_nodes_from([1, 2, 3, 4]) G.add_edges_from([(1, 2), (2, 3), ... Read More
To animate quivers in Python, 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 u and v data points using numpy.Create a figure and a set of subplots.Plot a 2D field of arrows using quiver() method.To animate the quiver, we can change the u and v values, in animate() method. Update the u and v values and the color of the vectors.To display the figure, use show() method.Exampleimport numpy as np import random as rd from matplotlib import pyplot as plt, animation ... Read More
To make markers on lines smaller in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create random data points, x.Plot x data points using plot() method, with linewidth =0.5 and color="black".To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.random.rand(20) plt.plot(x, '*-', color='black', markersize=10, lw=0.5) plt.show()Output
To make matplotlib.pyplot stop forcing the style of markers, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create random x and y data points using numpy.Plot x and y data points using plot() method, with "r*" marker with markersize=10.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.random.rand(20) y = np.random.rand(20) plt.plot(x, y, 'r*', markersize=10) plt.show()Output
To set the limits on a colorbar of a countour plot 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.Get the data using x and y.Get the coordinate matrices from the coordinate vectors.Initialize vmin and vmax to set the limits on a colorbar of a contour plot in matplotlib.Plot contours using contourf() method.Make the colorbar using scalar mappable within the range of vmin and vmax.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt import numpy as np from ... Read More
To make xtick labels of a plot be simple drawings using Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize the y position of simple drawings.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 using add_subplot()method.Plot a line using plot() method.Set the X-axis ticks using set_ticks() method.Set empty tick labels.Add circles and rectangles patches using add_patch() method. Instantiate Circle() and Rectangle() class.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt import matplotlib.patches as patches ... Read More
To indicate the statistically significant difference in bar graph, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create means, std, index, width and labels data points.Create a figure and a set of subplots using subplots() method.Make a bar plot using bar() method.Plot Y versus X as lines and/or markers with attached errorbars.Scale the Y-axis.Get or set the current tick locations and labels of the X-axis.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True means = (5, 15, ... Read More
To show node name in graphs using networkx, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a graph with edges, name, or graph attributes.Add multiple nodes using add_nodes_from() method.Add all the edges using add_edge_from() method.Draw the graph G with Matplotlib using draw() method. Set with_labels to True.To display the graph, we can use show() method.Exampleimport matplotlib.pylab as plt import networkx as nx plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True G = nx.DiGraph() G.add_nodes_from([1, 2, 3, 4]) G.add_edges_from([(1, 2), (2, 1), (2, 3), (1, 4), (3, 4)]) nx.draw(G, ... Read More
Tkinter canvas widget is used for many different purposes such as adding objects, drawing shapes, images and complex visuals to a graphical interface in an application. We can also configure its style such as background color, foreground color, and other properties using the configure properties or passing attributes.Suppose we want to inherit the background color of the Canvas widget in another widget or in some part of the application. This can be achieved by using my_canvas["background"] property. Further, we can use canvas["background"] to fetch the background color of the canvas widget.Example# Import the required library from tkinter import * from ... Read More