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Articles by Rishikesh Kumar Rishi
Page 94 of 102
Automatically position text box in Matplotlib
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, 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 xpoints = np.linspace(1, 2, 100) y1points = np.log(xpoints) y2points = np.exp(xpoints) plt.plot(xpoints, y1points, label="Log") plt.plot(xpoints, y2points, label="Exp") plt.legend() plt.show()Output
Read MoreWhat are the differences between add_axes and add_subplot in Matplotlib?
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 the title "subtitle1" and at index 2, add the title "subplot2".Create points for four rectangles and use add_axes() method to add an axes to the figure.To display the figure, use the show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() fig.add_subplot(221) plt.title("subplot1") fig.add_subplot(222) ...
Read MoreGolang Program to find the position of the rightmost set bit
ExamplesConsider n = 20(00010100)Now return log2(20 & -20) => 2+1 => 3Approach to solve this problemStep 1 − Define a method, where n and is an argument, return type is int.Step 2 − Return log2(n & -n)+1.Examplepackage main import ( "fmt" "math" "strconv" ) func FindRightMostSetBit(n int) int { if (n & 1) != 0{ return 1 } return int(math.Log2(float64(n & -n))) + 1 } func main(){ var n = 20 fmt.Printf("Binary of %d is: %s.", n, strconv.FormatInt(int64(n), 2)) fmt.Printf("Position of the rightmost set bit of the given number %d is %d.", n, FindRightMostSetBit(n)) }OutputBinary of 20 is: 10100. Position of the rightmost set bit of the given number 20 is 3.
Read MoreGolang Program to toggle the Kth of the given number n.
ExamplesConsider n = 20(00010100), k = 3.After toggling the kth bit of the given number: 00010000 => 16.Approach to solve this problemStep 1 − Define a method, where n and k would be the arguments, returns type is int.Step 2 − Perform AND operation with n ^ (1
Read MoreGolang program to check if k'th bit is set for a given number or not.
ExamplesConsider n = 20(00010100), k = 3So, the result after turning off the 3rd bit => 00010000 & (1
Read MoreGolang Program to turn on the k'th bit in a number.
Example For example consider n = 20(00010100), k = 4. So result after turning on 4th bit => 00010000 | (1
Read MoreGolang program to turn off the k'th bit in a number.
ExampleConsider n = 20(00010100), k = 3 The result after turning off the 3rd bit => 00010000 & ^(1 16sApproach to solve this problemStep 1 − Define a method, where n and k would be the arguments, return type is int.Step 2 − Perform AND operation with n & ^(1
Read MoreText box with line wrapping in Matplotlib
Matplotlib can wrap text automatically, but if it's too long, the text will be displayed slightly outside of the boundaries of the axis anyways.StepsCreate a new figure, or activate an existing figure, using figure().Set the axis properties using plt.axis() method.Make a variable input_text to store the string.Add text to figure, using plt.text() method where style='oblique', ha='center', va='top', ...etc.To show the figure use plt.show() method.Exampleimport matplotlib.pyplot as plt fig = plt.figure() plt.axis([0, 10, 0, 10]) input_text = 'Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy.' plt.text(5, 5, input_text, fontsize=10, style='oblique', ha='center', va='top', ...
Read MorePlot mean and standard deviation in Matplotlib
First, we can calculate the mean and standard deviation of the input data using Pandas dataframe.Then, we could plot the data using Matplotlib.StepsCreate a list and store it in data.Using Pandas, create a data frame with data (step 1), mean, std.Plot using a dataframe.To show the figure, use plt.show() method.Exampleimport pandas as pd from matplotlib import pyplot as plt data = [-5, 1, 8, 7, 2] df = pd.DataFrame({ 'data': data, 'mean': [2.6 for i in range(len(data))], 'std': [4.673328578 for i in range(len(data))]}) df.plot() plt.show()Output
Read MoreHow to overplot a line on a scatter plot in Python?
First, we can create a scatter for different data points using the scatter method, and then, we can plot the lines using the plot method.StepsCreate a new figure, or activate an existing figure with figure size(4, 3), using figure() method.Add an axis to the current figure and make it the current axes, create x using plt.axes().Draw scatter points using scatter() method.Draw line using ax.plot() method.Set the X-axis label using plt.xlabel() method.Set the Y-axis label using plt.ylabel() method.To show the plot, use plt.show() method.Exampleimport random import matplotlib.pyplot as plt plt.figure(figsize=(4, 3)) ax = plt.axes() ax.scatter([random.randint(1, 1000) % 50 for i ...
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