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To plot multiple columns of a Pandas dataframe on the bar chart in matplotlib, we can take the following steps −Make a dictionary of different keys, between 1 to 10 range.Make a dataframe using Pandas dataframe.Create a bar plot, using the plot() method with kind=”bar”.To display the figure, use the show() method.Exampleimport pandas as pd from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True d = { 'y=1/x': [1 / i for i in range(1, 10)], 'y=x': [i for i in range(1, 10)], 'y=x^2': [i * i for i in range(1, 10)], 'y=x^3': [i ... Read More
In this tutorial, we are going to write a program that finds out the k-th missing element in the given sorted array.Find the k-th number that is missing from min to max in the given unsorted array. Let's see the steps to solve the problem.Initialise the sorted array.Initialise two variables difference and count with k.Iterate over the array.If the current element is not equal to the next element.Find the difference between the two numbers.If the difference is greater than or equal to k, then return current element plus count.Else subtract difference from the count.Return -1.ExampleLet's see the code. Live Demo#include ... Read More
In this tutorial, we are going to write a program that finds out the k-th missing element in the given unsorted array.Find the k-th number that is missing from min to max in the given unsorted array. Let's see the steps to solve the problem.Initialise the unsorted array.Insert all the elements into a set.Find the max and min elements from the array.Write a loop that iterates from min to max and maintain a variable for the count.If the current element is present in the set, then increment the count.If the count is equal to k, then return i.ExampleLet's see the ... Read More
To hide ticks label and keep the ticks in place, we can take the following steps −Initialize x1 and x10 variables to get the x and y points, using numpy.Plot points x and y using the plot() method.Using xticks method, get or set the current tick locations and labels of the X-axis. Pass no arguments to return the current values without modifying them. So, pass the range(x1, x10) to get ticks but pass an empty list to hide the labels.To display the figure, use the show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] ... Read More
In this tutorial, we are going to write a program that finds the k-th largest element from the max-heap.We will use priority queue to solve the problem. Let's see the steps to complete the program.Initialise the max-heap with correct values.Create a priority queue and insert the root node of the max-heap.Write a loop that iterates k - 1 times.Pop the greatest element from the queue.Add the left and right nodes of the above node into the priority queue.The greatest element in priority queue is the k-th greatest element now.Return it.ExampleLet's see the code. Live Demo#include using namespace std; struct Heap ... Read More
To get the list of figures in matplotlib, we can take the following steps −Using figure() method, create a new figure, or activate an existing figure. Creating x figures, i.e., x=3.To get the list of figures, use the plt.get_fignums() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True plt.figure() plt.figure() plt.figure() print("Number of figures created: ", len(plt.get_fignums())) plt.show()OutputNumber of figures created: 3
To get the color of the most recent plotted line, we can take the following steps −Create x and y points using numpy.Plot the line using x and y, with color red and linewidth 2.To get the color of the line, use the get_color() method, and print it.To display the figure, use the 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(1, 10, 1000) y = np.linspace(10, 20, 1000) line, = plt.plot(x, y, c="red", lw=2) print("Color of the most recent plot line: ", line.get_color()) plt.show()OutputColor of the most ... Read More
To set the log scale tick label number on the axes, we can take the following steps −Set x and y axis limits (1 to 100), using ylim and xlim, on both the axes.Using loglog() method, make a plot with log scaling on both the x and y axis.To display the figure, use the plot() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True plt.ylim(1, 100) plt.xlim(1, 100) plt.loglog() plt.show()Output
To plot a .wav file using matplotlib, we can take following the steps −To read a .wav file, we can use the read() method.After reading the .wav file, we will get a tuple. At the 0 th index, rate would be there and at the 1st index, array sample data.Use the plot() method to plot the .wav file.Set y and x labels using ylabel and xlabel with “Amplitude” and “Time” label, respectively.To display the figure, use the show() method.Examplefrom scipy.io.wavfile import read import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True input_data = read("my_audio.wav") audio = input_data[1] plt.plot(audio[0:1024]) plt.ylabel("Amplitude") plt.xlabel("Time") plt.show()OutputRead More
To increase the distance between the title and the plot in matplotlib, we can take the following steps −Create point x using numpy.Create point y using numpy sin.Set the title of the plot. After changing the value y (in argument), we can increase or decrease the distance between the title and the plot.Plot x and y points using the plot() method, where color is red and line width is 2.Ti display the figure, use the 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(1, 10, 1000) y = np.sin(x) ttl = ... Read More