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Articles by Rishikesh Kumar Rishi
Page 30 of 102
Golang Program to Create a Class and Compute the Area and Perimeter of a Circle
To compute the area and perimeter of a circle, we can take following steps −Define a struct with circle properties such as radius.Define a method to calculate the area of the circle.Define a method to calculate the perimeter of the circle.In the main method, take the user's input for circle's radius.Instantiate the circle with the radius.Print the area of the circle.Print the perimeter of the circle.Example Live Demopackage main import ( "fmt" "math" ) type Circle struct { radius float64 } func (r *Circle)Area() float64{ return math.Pi * r.radius * r.radius } func (r *Circle)Perimeter() float64{ ...
Read MoreGolang Program to Find the Area of a Rectangle Using Classes
To find the area of a rectangle using classes, we can take following StepsDefine a struct with rectangle properties such as breadth and length.Define a method to calculate the area of the rectangle.In the main method, instantiate an object of rectangle.Call the struct method, i.e., Area, to calculate the area of the rectangle.Print the area of the rectangle.Example Live Demopackage main import ( "fmt" ) type Rectangle struct { breadth int len int } func (r *Rectangle)Area() int{ return r. len * r.breadth } func main(){ rectangle := Rectangle{ breadth: 10, ...
Read MoreGolang Program to Read the Contents of a File
pre.prettyprint{width:99%!important;} a.demo{top:12px!important; float:right!important;}To read the contents of a file, we can take following steps −We can create a file called test.txt.Clean-up using defer statement.Write the contents of string.Call ReadFile() method to read the file.ReadFile reads the file named by filename and returns the contents.Print the content of the file.Example Live Demopackage main import ( "fmt" "io/ioutil" "log" "os" ) func CreateFile() { file, err := os.Create("test.txt") if err != nil { log.Fatalf("failed creating file: %s", err) } defer file.Close() _, err = file.WriteString("Welcome to Tutorials Point") if err ...
Read MoreHow to automatically annotate the maximum value in a Pyplot?
To annotate the maximum value in a Pyplot, 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.Make a list of x and y data points.Plot x and y data points using numpy.Find the maximum in Y array and position corresponding to that max element in the arrayAnnotate that point with local max.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 fig = plt.figure() ax = fig.add_subplot(111) x ...
Read MoreHow to color a Seaborn boxplot based on DataFrame column name in Matplotlib?
To color a Seaborn boxplot based on dataframe column name, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a Pandas dataframe with two columns, col1 and col2.Make a boxplot with horizontal orientation.Get the boxes artists.Iterate the boxes and set the facecolor of the box.To display the figure, use show() method.Exampleimport seaborn as sns import matplotlib.pyplot as plt import pandas as pd plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame( [[2, 4], [7, 2] ], columns=['col1', 'col2']) ...
Read MoreHow to draw rounded line ends using Matplotlib?
To draw rounded line ends using matplotlib, we can use solid_capstyle='round'.StepsSet the figure size and adjust the padding between and around the subplots.Create random x and y data points using numpy.Create a figure and a set of subplots.Plot x and y data points using plot() method, with solid_capstyle in the method argument.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.random.randn(5) y = np.random.randn(5) fig, ax = plt. subplots() ln, = ax.plot(x, y, lw=10, solid_capstyle='round', color='red') plt.show()Output
Read MorePlot 95% confidence interval errorbar Python Pandas dataframes in Matplotlib
To plot 95% confidence interval errorbar Python Pandas dataframes, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Get a dataframe instance of two-dimensional, size-mutable, potentially heterogeneous tabular data.Make a dataframe with two columns, category and number.Find the mean and std of category and number.Plot y versus x as lines and/or markers with attached errorbars.To display the figure, use show() method.Exampleimport numpy as np import pandas as pd import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame() df['category'] = np.random.choice(np.arange(10), 1000, replace=True) df['number'] = ...
Read MoreHow does parameters 'c' and 'cmap' behave in a Matplotlib scatter plot?
To get a sense of how the parameters c and cmap behave in a Matplotlib scatterplot, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a variable N to store the number of sample data.Create x and y data points using numpy.Plot x and y data points using scatter() method, color and colormap.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 N = 50 x = np.random.randn(N) y = np.random.randn(N) plt.scatter(x, y, c=x, ...
Read MoreCreating multiple boxplots on the same graph from a dictionary, using Matplotlib
To create multiple boxplots on the same graph from a dictionary, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a dictionary, dict, with two columns.Create a figure and a set of subplots.Make a box and whisker plotSet the xtick labels using set_xticklabels() methodTo 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 data = {'col1': [3, 5, 2, 9, 1], 'col2': [2, 6, 1, 3, 4]} fig, ax = plt.subplots() ax.boxplot(data.values()) ax.set_xticklabels(data.keys()) plt.show()Output
Read MoreHow to edit the properties of whiskers, fliers, caps, etc. in a Seaborn boxplot in Matplotlib?
To edit the properties of whiskers, fliers, caps, etc. in a Seaborn boxplot, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a dataframe using Pandas.Make a boxplot from the DataFrame columns.Get the boxplot's outliers, boxes, medians, and whiskers data.Print all the above data.To display the figure, use show() method.Exampleimport seaborn as sns import pandas as pd from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame(dict(age=[23, 45, 21, 15, 12])) _, bp = pd.DataFrame.boxplot(df, return_type='both') outliers = [flier.get_ydata() for flier ...
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