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To show a figure that has been closed in Matplotlib, we can create a new Canvas Manager and store the previous figure into a new Canvas figure.StepsSet the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure.Create x and y data points using numpy.Plot x and y data points using plot() method.Close the current figure where the plot has been plotted.Now, store the previous figure in a new Canvas figure.Set the Canvas that contains the figure.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as ... Read More
To set the Y-axis in radians in a Python plot, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x and y data point using numpy.Create a new figure or activate an existing figure using figure() method.Add an axes, ax, to the figure as part of a subplot arrangement.Get the list of Y-axis ticks and ticklabels.Set the ticks and ticklabels using set_yticks() and set_yticklabels() methods.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(-10.0, ... Read More
To plot histograms against Pandas/Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a potentially hetrogeneous tabular data using Pandas dataframe.Use the dataframe to make a histogram.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt import pandas as pd plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame({'a': [1, 1, 1, 1, 3], 'b': [1, 1, 2, 1, 3], 'c': [2, 2, 2, 1, 3], 'd': [2, 1, 2, 1, 3], }) df.hist() plt.show()Output
To plot a Box plot overlaid on top of a Swarm plot in Seaborn, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a Pandas dataframe, i.e., two-dimensional, size-mutable, potentially heterogeneous tabular data.Initialize the plotter, swarmplot.To plot the box plot, use boxplot() method.To display the figure, use show() method.Exampleimport seaborn as sns import matplotlib.pyplot as plt import pandas as pd import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = pd.DataFrame({"Box1": np.arange(10), "Box2": np.arange(10)}) ax = sns.swarmplot(x="Box1", y="Box2", data=data, zorder=0) sns.boxplot(x="Box1", y="Box2", data=data, showcaps=False, ... Read More
To set the display range subplot or errorbars 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.Create a figure and a set of subplots.Plot y versus x as lines and/or markers with attached errorbars.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 x = np.arange(0.1, 4, 0.5) y = np.exp(-x) fig, ax = plt.subplots() ax.errorbar(x, y, xerr=0.2, yerr=0.4) plt.show()OutputRead More
To adjust the width of box in boxplot in Python matplotlib, we can use width in the boxplot() method.StepsSet the figure size and adjust the padding between and around the subplots.Make a Pandas dataframe, i.e., two-dimensional, size-mutable, potentially heterogeneous tabular data.Make a box and whisker plot, using boxplot() method with width tuple to adjust the box in boxplot.To display the figure, use show() method.Exampleimport pandas as pd import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = pd.DataFrame({"Box1": np.random.rand(10), "Box2": np.random.rand(10)}) ax = plt.boxplot(data, widths=(0.25, 0.5)) plt.show()OutputRead More
To draw a heart with pylab/pyplot, we can follow the steps given below −StepsSet the figure size and adjust the padding between and around the subplots.Create x, y1 and y2 data points using numpy.Fill the area between (x, y1) and (x, y2) using fill_between() method.Place text on the plot using text() method at (0, -1.0) point.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 x = np.linspace(-2, 2, 1000) y1 = np.sqrt(1 - (abs(x) - 1) ** 2) y2 = -3 * np.sqrt(1 - ... Read More
To save an image with matplotlib.pyplot.savefig(), 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.Plot x and y data points using plot() method.To save the figure, use savefig() method.Exampleimport numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(-np.pi, np.pi, 100) plt.plot(x, np.sin(x) * x, c='red') plt.savefig("myimage.png")OutputWhen we execute the code, it will save the following image as "myimage.png" in the Project directory.Read More
To find the sum of numerical columns based on the combination of values in categorical columns in R data frame, we can follow the below steps −First of all, create a data frame.Then, find the sum of numerical columns based on the combination of values in categorical columns by using recast function of reshape2 package with sum function.Create the data frameExampleLet's create a data frame as shown below − Live Demo> x1 x2 x3 x4 f1 f2 df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) −Output x1 x2 x3 x4 ... Read More
Time complexity of any algorithm is the time taken by the algorithm to complete. It is an important metric to show the efficiency of the algorithm and for comparative analysis. We tend to reduce the time complexity of algorithm that makes it more effective.Example 1Find the time complexity of the following code snippetsfor(i= 0 ; i < n; i++){ cout