To change the color of data points based on some variable in matplotlib, we can take the following steps −Create x, y and c variables using numpy.Plot the scatter points using x, y and for color, use c (Step 1).To display the image, use the show() method.Exampleimport numpy as np from ... Read More

To put a legend outside the plot with Pandas, we can take the following Steps −Make a dictionary d with keys Column1 and Column2.Make a data frame using DataFrame (d).Plot the data frame with a list of styles.Using legend(), place a legend on the figure. The bbox_to_anchor keyword gives a great ... Read More

To save image for maximized window instead of default size, we can use the following Steps −Create figure with figsize=(7.50, 3.50), using the figure() method.Plot the lines using the plot() method with list, color=”red”, and linewidth=2.Save the figure using the savefig() method.To display the figure, use the show() method.Examplefrom matplotlib import ... Read More

To show multiple figures in matplotlib, we can take the following Steps −To create a new figure, or activate an existing figure, use the figure() method. (Create two figures namely, Figure1 and Figure2).Plot the lines with the same lists (colors red and green and linewidth 2 and 5).Set the title ... Read More

To position a textbox automatically in matplotlib, we can take the following Steps −Create xpoints from 1 to 2 and 100 samples.Create y1points and y2points using xpoints (Step 1) and numpy.Plot xpoints, y1points and y2points using the plot() method.To set the label, use the legend() method. It will help to position the text box.To display the figure, ... Read More

Definingadd_axes − Add an axes to the figure.add_subplot − Add an axes to the figure as part of a subplot arrangement.StepsCreate a new figure, or activate an existing figure, using the figure() method.Add an axes to the figure as part of a subplot arrangement where nrows=2, ncols=2. At index 1, add ... Read More

To change the color of a line using radiobuttons, we can take the following steps −Create x, sin and cos data points using numpy.Adjust the figure size and padding between and around the subplots.Create a figure and a set of subplots using the subplots() method.Plot curve with x and y ... Read More

To detect outliers in one dimensional observation data, we can take the following Steps −Create spread, center, flier_high and flier_low.Using the above data (Step 1), we can calculate data.Use the suplots() method to create a figure and a set of subplots, i.e., fig1 and ax1.Set the title of ax1.Now using ... Read More

ExampleAbs(x, y) => √(x)2+(y)2Scale(f) => (x*f, y*f)ApproachDefine a vertex as a struct.Initialize the vertex with some x and value.Define a method to calculate absolute(x, y).Define a method to calculate scale(x*f, y*f).Example Live Demopackage main import (    "fmt"    "math" ) type Vertex struct {    X, Y float64 } func ... Read More

ExampleApproachAsk the user to enter the size of array.Make a string array of given size.Ask the user to enter elements.At the end, print the array.Example Live Demopackage main import "fmt" func main(){    arr := []int{10, 20, 30, 60, 40, 50}    boolArr := []bool{true, false, true, false, true, false}   ... Read More