Python Articles - Page 521 of 1048

To make frames around the tiles in a Seaborn heatmap, we can use linewidths and linecolor values in the heatmap() method.StepsSet the figure size and adjust the padding between and around the subplots.Create a Pandas data frame with 5 columns.Use heatmap() method to plot rectangular data as a color-encoded matrix.To display the figure, use show() method.Exampleimport seaborn as sns import pandas as pd import numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame(np.random.random((5, 5)), columns=["col1", "col2", "col3", "col4", "col5"]) sns.heatmap(df, linewidths=4, linecolor='green') plt.show()OutputRead More

To create a heatmap in Python that ranges from green to red, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a dictionary for different colors.Create a colormap from linear mapping segments using LinearSegmentedColormap.Create a figure and a set of subplots.Create random data with 5☓5 dimension.Create a pseudocolor plot with a non-regular rectangular grid.Create a colorbar for a ScalarMappable instance, *mappable*.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt import matplotlib.colors as colors import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True cdict = {'red': ... Read More

To get all the bars in a Matplotlib chart, we can use the bar() method and return the bars.−StepsSet 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 using subplots() method.Make a bar plot and store it in bars variable.Set the facecolor of a particular set of bars.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 fig, ax = plt.subplots() x = np.arange(7) y = np.random.rand(7) bars = ax.bar(x, ... Read More

To remove a frame without removing the axes tick labels from a Matplotlib figure, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a list of y data points.Plot the y data points using plot() methodTo remove the left-right-top and bottom spines, we can use set_visible() method.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True y = [0, 2, 1, 5, 1, 2, 0] plt.plot(y, color='red', lw=7) for pos in ['right', 'top', 'bottom', 'left']:    plt.gca().spines[pos].set_visible(False) plt.show()OutputRead More

To get a reverse-order cumulative histogram in Matplotlib, we can use cumulative = -1 in the hist() method.Set the figure size and adjust the padding between and around the subplots.Make a list of data points.Plot a histogram with data and cumulative = -1.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = [1, 2, 2, 3, 1, 4, 3, 0, 1, 3, 0] plt.hist(data, edgecolor='black', align="mid", cumulative=-1) plt.show()Output

To use an update function to animate a NetworkX graph 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.Initialize a graph with edges, name, and graph attributes.Add nodes to the graph using add_nodes_from() method.Draw the graph G with Matplotlib.Use FuncAnimation() class to make an animation by repeatedly calling a function, animate.Function animate clears the current figure, generate two random numbers, and draws the edges between them.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt, ... Read More

To plot a pcolor colorbar in a different subplot 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 wuth two rows and two columns.Make a list of colormaps.Iterate the axes and create a pseudocolor plot with a non-regular rectangular grid.Make colorbars with the same axes of pcolormesh.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig, axs = plt.subplots(2, 2) cm = ['plasma', 'copper'] for col ... Read More

To plot a smooth 2D color plot for z = f(x, y) 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 z data points using f(x, y).Display the data as an image, i.e., on a 2D regular raster, with z data points.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True def f(x, y):    return np.array([i * i + j * j for j in ... Read More

To display two sympy plots as one Matplotlib plot, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Transform strings into instances of :class:'Symbol' class.Plot a function of a single variable as a curve.Use the extend method to add all the series of plot2 (p2) in plot1 (p1).To display the figure, use show() method.Examplefrom sympy import symbols from sympy.plotting import plot from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = symbols('x') p1 = plot(x*x, show=False) p2 = plot(x, show=False) p1.extend(p2) p1.show()OutputRead More

Tkinter label widgets are used to display text and images in the application. We can also configure the properties of Label widget that are created by default in a tkinter application.If we want to delete a label that is defined in a tkinter application, then we have to use the destroy() method.ExampleIn this example, we will create a Button that will allow the user to delete the label from the widget.# Import the required libraries from tkinter import * from tkinter import ttk from PIL import Image, ImageTk # Create an instance of tkinter frame or window win = ... Read More