Display Mean in a Boxplot with Cross Sign in Base R

Nizamuddin Siddiqui
Updated on 16-Mar-2021 11:14:20

344 Views

To display mean in a boxplot with cross sign in base R, we can use the points function and pass the mean with pch = 4 that represents a star, also we can change the color to highlight the mean using col argument and the size of the start can be changed using lwd argument as shown in the below examples.Example Live Demox

Create a Simple Screen Using Tkinter

Prasad Naik
Updated on 16-Mar-2021 11:10:50

563 Views

 We will create a simple screen using the Tkinter library.AlgorithmStep 1: Import tkinter. Step 2: Create an object of the tkinter class. Step 3: Display the screen.Example Codeimport tkinter as tk window = tk.Tk()Output

Select Columns in R Without Missing Values

Nizamuddin Siddiqui
Updated on 16-Mar-2021 11:09:52

3K+ Views

There are two easy methods to select columns of an R data frame without missing values, first one results in a vector and other returns a matrix. For example, if we have a data frame called df then the first method can be used as df[,colSums(is.na(df))==0] and the second method will be used as t(na.omit(t(df))).ExampleConsider the below data frame − Live Demodf1

Display Various DateTime Formats in Python

Prasad Naik
Updated on 16-Mar-2021 11:09:09

293 Views

The datetime module supplies classes for manipulating dates and time. We will display different formats like day of the week, week number, day of the year, etc.AlgorithmStep 1: Import datetime. Step 2: Print day of the week. Step 3: Print week number. Step 4: Print day of the year.Example CodeLive Demoimport datetime print("Day of the week: ", datetime.date.today().strftime("%A")) print("Week number: ", datetime.date.today().strftime("%W")) print("Day of the year: ", datetime.date.today().strftime("%j"))OutputDay of the week:  Sunday Week number:  06 Day of the year:  045ExplanationThe arguments of the strftime() function are explained below:%A: Weekday's full name (Example: 'Monday')%W: Week number of the year with ... Read More

Adding Textures to Graphs Using Matplotlib

Prasad Naik
Updated on 16-Mar-2021 11:07:40

602 Views

In this program, we will plot a bar graph using the matplotlib library. The most important Step in solving matplotlib related problems using the matplotlib library is importing the matplotlib library. The syntax is:import matplotlib.pyplot as pltPyplot is a collection of command style functions that make Matplotlib work like MATLAB. In addition to plotting the bar graphs, we will also add some textures to the graphs. The 'hatch' parameter in the bar() function is used to define the texture of the barAlgorithmStep 1: Define a list of values. Step 2: Use the bar() function and define parameters like xaxis, yaxis, ... Read More

Show Two Figures Using Matplotlib

Rishikesh Kumar Rishi
Updated on 16-Mar-2021 11:06:50

10K+ Views

We can use the method, plt.figure(), to create the figures, and then, set their titles by passing strings as arguments.StepsCreate a new figure, or activate an existing figure, with the window title “Welcome to figure 1”.Draw a line using plot() method, over the current figure.Create a new figure, or activate an existing figure, with the window title “Welcome to figure 2”.Draw a line using plot() method, over the current figure.Using plt.show(), show the figures.Examplefrom matplotlib import pyplot as plt plt.figure("Welcome to figure 1") plt.plot([1, 3, 4]) plt.figure("Welcome to figure 2") plt.plot([11, 13, 41]) plt.show()OutputRead More

Displaying Horizontal Bar Graphs Using Matplotlib

Prasad Naik
Updated on 16-Mar-2021 11:06:31

916 Views

In this program, we will plot a bar graph using the matplotlib library. The most important Step in solving matplotlib related problems using the matplotlib library is importing the matplotlib library. The syntax is:import matplotlib.pyplot as pltPyplot is a collection of command style functions that make Matplotlib work like MATLAB. We will use the function barh() for plotting the horizontal bar chartsAlgorithmStep 1: Define a list of values. Step 2: Use the barh() function in the matplotlib.pyplot library and define different parameters like height width, etc. Step 3: Label the axes using xlabel() and ylabel(). Step 3: Plot the graph ... Read More

Plotting a 3D Cube, Sphere and Vector in Matplotlib

Rishikesh Kumar Rishi
Updated on 16-Mar-2021 11:06:14

5K+ Views

Get fig from plt.figure() and create three different axes using add_subplot, where projection=3d.Set up the figure title using ax.set_title("name of the figure"). Use the method ax.quiver to plot vector projection, plot3D for cube, and plot_wireframe for sphere after using sin and cos.StepsCreate a new figure, or activate an existing figure.To draw vectors, get a 2D array.Get a zipped object.Add an ~.axes.Axes to the figure as part of a subplot arrangement, with 3d projection, where nrows = 1, ncols = 3 and index = 1.Plot a 3D field of arrows.Set xlim, ylim and zlim.Set the title of the axis (at index ... Read More

Displaying Bar Graphs Using Matplotlib

Prasad Naik
Updated on 16-Mar-2021 11:05:57

322 Views

In this program, we will plot a bar graph using the matplotlib library. The most important Step in solving matplotlib related problems using the matplotlib library is importing the matplotlib library. The syntax is −import matplotlib.pyplot as pltPyplot is a collection of command style functions that make Matplotlib work like MATLABAlgorithmStep 1: Define a list of values. Step 2: Use the bar() function in the matplotlib.pyplot library and define different parameters like height, width, etc. Step 3: Label the axes using xlabel() and ylabel(). Step 3: Plot the graph using show().Example Codeimport matplotlib.pyplot as plt data_x = ['Mumbai', 'Delhi', ... Read More

Display Tick Marks on Upper and Right Side of Plot Using ggplot2 in R

Nizamuddin Siddiqui
Updated on 16-Mar-2021 11:05:36

770 Views

To display tick marks on upper as well as right side of the plot, we can create duplicate axes for X as well Y by using scale_x_continuous and scale_y_continuous functions. The argument that will help us in this case is sec.axis and we need to set it to dup_axis as scale_x_continuous(sec.axis=dup_axis()) and scale_y_continuous(sec.axis=dup_axis()). Check out the below example to understand how it can be done.ExampleConsider the below data frame − Live Demox

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