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To get the signal plot, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Get random seed value.Initialize dt for sampling interval and find the sampling frequency.Create random data points for t.To generate noise, get nse, r, cnse and s using numpy.Create a figure and a set of subplots using subplots() method.Set the title of the plot.Plot t and s data points.Set x and y labels.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 np.random.seed(0) dt ... Read More
To tweak axis labels and names orientation for 3D plots 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 with facecolor=white.Get the current figure with 3d projection.Set X, Y and Z Axis labels with linespacing.Plot the data points using plot() method.Set the axis distance.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 figure = plt.figure(facecolor='w') ax = figure.gca(projection='3d') xLabel = ax.set_xlabel('X-axis', linespacing=3.2) yLabel = ax.set_ylabel('Y-axis', linespacing=3.1) zLabel = ax.set_zlabel('Z-Axis', ... Read More
To plot scatter points with clover symbols in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x, y and z data points using numpy.Plot x, y and s using scatter() method.Set X and Y axes labels.Place a legend at the upper left of the plot.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 x = np.arange(0.0, 50.0, 2.0) y = x ** 1.3 + np.random.rand(*x.shape) * 30.0 s = np.random.rand(*x.shape) * 800 + 500 ... Read More
matplotlib.pyplotThe matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc.In matplotlib.pyplot, various states are preserved across function calls, so that it keeps track of things like the current figure and plotting area, and the plotting functions are directed to the current axesmatplotlib.figureThe figure keeps track of all the child Axes, a smattering of 'special' artists (titles, figure legends, etc), and the canvas. A figure ... Read More
To pass RGB color values to Python's Matplotlib eventplot, we can take the following stepsStepsSet the figure size and adjust the padding between and around the subplots.Create a 1D array, pos, to define the positions of one sequence of eventsMake a list of color tuple r, g, b.Plot identical parallel lines at the given positions.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 pos = 10 * np.random.random(100) colors = [(0.75, 0.50, 0.25)] plt.eventplot(pos, orientation='horizontal', linelengths=0.75, color=colors) ... Read More
To put gap between Y-axis and the first bar in vertical barchart, we can reduce the X-axis scale.StepsSet the figure size and adjust the padding between and around the subplots.Create lists x_val, x_names andvaldata points. Also, initialize width and interval variables.Make a bar plot using bar() method.Get or set the current tick locations and labels of the X-axis.Get or set the current tick locations and labels of the Y-axis.Get or set the x limits of the current axes.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 x_val = ... Read More
To embed fonts in PDFs produced by Matplotlib, we can use rc.Params['pdf.fonttype']=42.StepsSet 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.Plot x and y data points using scatter() method.Set the title of the plot.Save the figure in pdf format.Exampleimport numpy as np from matplotlib import pyplot as plt, font_manager as fm plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True plt.rcParams['pdf.fonttype'] = 42 fig, ax = plt.subplots() x = np.random.rand(100) y = np.random.rand(100) ax.scatter(x, y, c=y, marker="v") ... Read More
To animate the colorbar 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.Add an '~.axes.Axes' to the figure as part of a subplot arrangement.Instantiate Divider based on the pre-existing axes, i.e., ax object and return a new axis locator for the specified cell.Create an axes at the given *position* with the same height (or width) of the main axes.Create random data using numpy.Use imshow() method to plot random data.Set the title of the plot.Instantiate the list of colormaps.To animate the ... Read More
To animate a plot in matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a random data of shape 10X10 dimension.Create a figure and a set of subplots, using subplots() method.Makes an animation by repeatedly calling a function *func*, using FuncAnimation() class.To update the contour value in a function, we can define a method animate that can be used in FuncAnimation() class.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = ... Read More
2’s complement of binary numbers can be done by using two approaches.Adding 1’s complement+1Traverse bits from left to right, find the 1st 1 bit then reverse all the bits after the 1 bit.ExampleLet the input be 1110010Thus, after performing 2’s complement, the output will be as follows −Output − 0001110Coming to the Turing machine to find 2’s complement, If input is as follows −B010000100The output is as follows −B101111100ExplanationStep 1 − Here, we need to start from the rightmost ends.Step 2 − We will move the R/W head all the way to the right, skipping all the 0s and 1s.Step ... Read More