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Articles on Trending Technologies
Technical articles with clear explanations and examples
Colorplot of 2D array in Matplotlib
To plot a colorplot of a 2D array, we can take the following steps −Create data (i.e., 2D array) using numpy.For colorplot, use imshow() method, with input data (Step 1) and colormap is "PuBuGn".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 data = np.random.rand(4, 4) plt.imshow(data, cmap='PuBuGn') plt.show()Output
Read MoreAdding caption below X-axis for a scatter plot using Matplotlib
To add caption below X-axis for a scatter plot, we can use text() method for the current figure.StepsCreate x and y data points using numpy.Create a new figure or activate an existing figure using figure() method.Plot the scatter points with x and y data points.To add caption to the figure, use text() method.Adjust the padding between and around the subplots.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 x = np.random.rand(10) y = np.random.rand(10) fig = plt.figure() plt.scatter(x, y, c=y) fig.text(.5, .0001, "Scatter Plot", ha='center') plt.tight_layout() plt.show()Output
Read MoreSet variable point size in Matplotlib
To set the variable point size in matplotlib, we can take the following steps−Initialize the coordinates of the point.Make a variable to store the point size.Plot the point using scatter method, with marker=o, color=red, s=point_size.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True xy = (3, 4) point_size = 100 plt.scatter(x=xy[0], y=xy[1], marker='o', c='red', s=point_size) plt.show()Output
Read MoreHow to draw a rectangle over a specific region in a Matplotlib graph?
To draw a rectangle over a specific region in a matplotlib graph, we can take the following steps −Using subplots() method, create a figure and a set of subplots, where nrows=1.Using rectangle, we can create a rectangle, defined via an anchor point and its width and height. Where, edgecolor=orange, linewidth=7, and facecolor=green.To plot a diagram over the axis, we can create a line using plot() method, where line color is red.Add a rectangle patch on the diagram, using add_patch() method.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt, patches plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True figure, ax = plt.subplots(1) ...
Read MoreHow to create a draggable legend in Matplotlib?
To create a draggable legend in matplotlib, we can take the following steps −Create two lines, line1 and line2, using plot() method.Place the legend for plot line1 and line2 with ordered lables at location 1, using legend() method.To create a draggable legend, use set_draggable() method, where state=True. If state=False, then we can't drag the legend.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True line1, = plt.plot([1, 2, 3]) line2, = plt.plot([3, 2, 1]) leg = plt.legend([line2, line1], ["line 2", "line 1"], loc=1) leg.set_draggable(state=True) plt.show()OutputOn the output window, you can drag the legend around with ...
Read MoreAutomatically Rescale ylim and xlim in Matplotlib
To rescale ylim and xlim automatically, we can take the following steps −To plot a line, use plot() method and data range from 0 to 10.To scale the xlim and ylim automatically, we can make the variable scale_factore=6.Use scale_factor (from Step 2) to rescale the xlim and ylim, using xlim() and ylim() methods, respectively.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True plt.plot(range(0, 10)) scale_factor = 6 xmin, xmax = plt.xlim() ymin, ymax = plt.ylim() plt.xlim(xmin * scale_factor, xmax * scale_factor) plt.ylim(ymin * scale_factor, ymax * scale_factor) plt.show()Output
Read MoreHow do I plot Shapely polygons and objects using Matplotlib?
To plot shapely polygons and objects using matplotlib, the steps are as follows −Create a polygon object using (x, y) data points.Get x and y, the exterior data, and the array using polygon.exterior.xy.Plot x and y data points using plot() method with red color.Examplefrom shapely.geometry import Polygon import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True polygon1 = Polygon([(0, 5), (1, 1), (3, 0), (4, 6), ]) x, y = polygon1.exterior.xy plt.plot(x, y, c="red") plt.show()Output
Read MoreHow to bind the spacebar key to a certain method in Tkinter?
Tkinter methods can be bound with the Keys or Mouse to perform certain operations or events in an application. Let us suppose for a particular application, we want to bind the Key such that it will perform a certain operation. We can bind any key to a particular operation or event by defining the bind(, callback) method.ExampleIn this example, we will create rectangles of random width and height by using random Module in Python. So, whenever we will press the Key, it will generate some random shapes on the screen.#Import the required Libraries from tkinter import * import random ...
Read MoreHow to change the title bar in Tkinter?
Tkinter initially sets a default title bar for every application. We can update or replace the Title Bar of the Tkinter application by configuring the title("Enter any Title") method. For a particular application, let us see how we can change the title of a Tkinter application that calculates the square of a number.Example#Import the required Libraries from tkinter import * from tkinter import ttk import math #Create an instance of Tkinter frame win = Tk() #Set the geometry of tkinter frame win.geometry("750x270") #Set the Title of Tkinter window win.title("Square Calculator") def find_square(): no= int(entry.get()) ...
Read MoreHow to connect a progress bar to a function in Tkinter?
A Progress Bar helps to visualize the state of a running process. We have used and interacted with many progress bars such as getting the status of downloading a file from the internet, Loading a file on the local system, etc.Let us suppose that we want to create and connect a progress bar in our application. We will create a full-width progress bar by using ProgressBar(win, options) method. It can be configured through a button that enables and disables it.Example#Import the required Libraries from tkinter import * from tkinter import ttk import time #Create an instance of tkinter frame ...
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