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We will first create a numpy matrix and then find out the number of rows and columns in that matrixAlgorithmStep 1: Create a numpy matrix of random numbers. Step 2: Find the rows and columns of the matrix using numpy.shape function. Step 3: Print the number of rows and columns.Example Codeimport numpy as np matrix = np.random.rand(2,3) print(matrix) print("Total number of rows and columns in the given matrix are: ", matrix.shape)Output[[0.23226052 0.89690884 0.19813164] [0.85170808 0.97725669 0.72454096]] Total number of rows and columns in the given matrix are: (2, 3)
To make a custom color, we can create a hexadecimal string. From it, we can make different sets of color representation and can pass them into the scatter method to get the desired output.Using the set_color method, we could set the color of the bar.StepsTake user input for the number of bars.Add bar using plt.bar() method.Create colors from hexadecimal alphabets by choosing random characters.Set the color for every bar, using set_color() method.To show the figure we can use plt.show() method.Examplefrom matplotlib import pyplot as plt import random bar_count = int(input("Enter number of bars: ")) bars = plt.bar([i for ... Read More
We can override the backend value using atplotlib.rcParams['backend'] variable.StepsUsing get_backend() method, return the name of the current backend, i.e., default name.Now override the backend name.Using get_backend() method, return the name of the current backend, i.e., updated name.Exampleimport matplotlib print("Before, Backend used by matplotlib is: ", matplotlib.get_backend()) matplotlib.rcParams['backend'] = 'TkAgg' print("After, Backend used by matplotlib is: ", matplotlib.get_backend())OutputBefore, Backend used by matplotlib is: GTK3Agg After, Backend used by matplotlib is: TkAgg Enter number of bars: 5
Using the subplot method, we can configure the number of rows and columns. nrows*nclos will create number positions to draw a diagram.StepsNumber of rows = 2, Number of columns = 1, so total locations are: 2*1 = 2.Add a subplot to the current figure, nrow = 2, ncols = 1, index = 1.Add a subplot to the current figure, nrow = 2, ncols = 1, index = 2.Using plt.show(), we can show the figure.Examplefrom matplotlib import pyplot as plt row_count = 2 col_count = 1 index1 = 1 # no. of subplots are: row*col, index is the position ... Read More
We need to write a Python program which will remove a certain substring from a given stringAlgorithmStep 1: Define a string. Step 2: Use the replace function to remove the substring from the given string.Example CodeLive Demooriginal_string = "C++ is a object oriented programming language"modified_string = original_string.replace("object oriented", "")print(modified_string)OutputC++ is a programming languageExplanationThe in-build Python replace() function takes the following parameters:Oldstring: The string which you want to removeNewstring: The new string you want to replace in place of the oldstringCount: Optional. Number of times you want to replace the oldstring with the newstringRead More
To find the row product of a matrix in R, we can use apply function along with prod function. For example, if we have a matrix called M then to find the row product of a matrix we can use the command apply(M,1,prod). We need to remember that the output will be a vector not matrix. Check out the below examples to understand how to perform the row product of the matrix.ExampleConsider the below matrix − Live DemoM1
In this program, we will plot two lines using the matplot library. Before starting to code, we need to first import the matplotlib library using the following command −Import matplotlib.pyplot as pltPyplot is a collection of command style functions that make matplotlib work like MATLAB.AlgorithmStep 1: Import matplotlib.pyplot Step 2: Define line1 and line2 points. Step 3: Plot the lines using the plot() function in pyplot. Step 4: Define the title, X-axis, Y-axis. Step 5: Display the plots using the show() function.Example Codeimport matplotlib.pyplot as plt line1_x = [10, 20, 30] line1_y = [20, 40, 10] line2_x = ... Read More
We can first activate the figure using plt.ion() method. Then, we can update the plot with different sets of values.StepsCreate fig and ax variables using subplots method, where default nrows and ncols are 1.Draw a line, using plot() method.Set the color of line, i.e., orange.Activate the interaction, using plt.ion() method.To make the plots interactive, change the line coordinates.ExampleIn [1]: %matplotlib auto Using matplotlib backend: GTK3Agg In [2]: import matplotlib.pyplot as plt # Diagram will get popped up. Let’s update the diagram. In [3]: fig, ax = plt.subplots() # Drawing a line In [4]: ax.plot(range(5)) In ... Read More
In this program, we will replace or, in other words, reset the default index in the Pandas dataframe. We will first make a dataframe and see the default index and then replace this default index with our custom index.AlgorithmStep 1: Define your dataframe. Step 2: Define your own index. Step 3: Replace the default index with your index using the reset function in Pandas library.Example Codeimport pandas as pd dataframe = {'Name':["Allen", "Jack", "Mark", "Vishal"], 'Marks':[85, 92, 99, 87]} df = pd.DataFrame(dataframe) print("Before using reset_index:", df) own_index = ['a', 'j', 'm', 'v'] df = pd.DataFrame(dataframe, own_index) ... Read More
Using Pandas, we can create a data frame and create a figure and axis. After that, we can use the scatter method to draw points.StepsCreate lists of students, marks obtained by them, and color codings for each score.Make a data frame using Panda’s DataFrame, with step 1 data.Create fig and ax variables using subplots method, where default nrows and ncols are 1.Set the X-axis label using plt.xlabel() method.Set the Y-axis label using plt.ylabel() method.A scatter plot of *y* vs. *x* with varying marker size and/or color.To show the figure, use plt.show() method.Examplefrom matplotlib import pyplot as plt import pandas as ... Read More