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Page 1964 of 2109
Golang 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 do I format the axis number format to thousands with a comma in Matplotlib?
First, we can make two lists of x and y, where the values will be more than 1000. Then, we can use the ax.yaxis.set_major_formatter method where can pass StrMethodFormatter('{x:, }') method with {x:, } formatter that helps to separate out the 1000 figures from the given set of numbers.StepsMake two lists having numbers greater than 2000.Create fig and ax variables using subplots method, where default nrows and ncols are 1, using subplot() method.Plot line using x and y (from step 1).Set the formatter of the major ticker, using ax.yaxis.set_major_formatter() method, where StrMethodFormatter helps to make 1000 with common, i.e., expression ...
Read MoreHow can I get the output of a Matplotlib plot as an SVG?
Just using the savefig method of the pyplot package and mentioning the file format, we can save the output as a SVG format.StepsCreate fig and ax variables using subplots method, where default nrows and ncols are 1.Create xpoints and ypoints using np.array(0, 5).Plot lines using xpoints and ypoints.Set the X-axis label using plt.xlabel() method.Set the Y-axis label using plt.ylabel() method.To save the file in SVG format, use savefig() method where image name is myImagePDF.svg, format="svg".To show the image, use plt.show() method.Exampleimport matplotlib.pyplot as plt import numpy as np fig, ax = plt.subplots() xpoints = np.array([0, 5]) ypoints = np.array([0, ...
Read MoreChange figure size and figure format in Matplotlib
Using the figsize attribute of figure(), we can change the figure size. To change the format of a figure, we can use the savefig method.StepsStore the figure size in the variable.Create a new figure, or activate an existing figure, with given figure size.Plot the line using x.Set the image title with its size.Save the figure using savefig() method.Examplefrom matplotlib import pyplot as plt figure_size = (10, 10) plt.figure(figsize=figure_size) x = [1, 2, 3] plt.plot(x, x) plt.title("Figure dimension is: {}".format(figure_size)) plt.savefig("imgae.png", format="png")Output
Read MoreHow to print the Y-axis label horizontally in a Matplotlib/Pylab chart?
Just by using plt.ylabel(rotation='horizontal'), we can align a label according to our requirement.StepsPlot the lines using [0, 5] and [0, 5] lists.Set the y-label for Y-axis, using ylabel method by passing rotation='horizontal'.Set the x-label for X-axis, using xlabel method.To show the plot, use plt.show() method.Examplefrom matplotlib import pyplot as plt plt.plot([0, 5], [0, 5]) plt.ylabel("Y-axis ", rotation='horizontal') plt.xlabel("X-axis ") plt.show()Output
Read MoreDisplaying rotatable 3D plots in IPython or Jupyter Notebook
By creating a 3D projection on the axis and iterating that axis for different angles using view_init(), we can rotate the output diagram.StepsCreate a new figure, or activate an existing figure.Add an `~.axes.Axes` to the figure as part of a subplot arrangement with nrow = 1, ncols = 1, index = 1, and projection = '3d'.Use the method, get_test_data to return a tuple X, Y, Z with a test dataset.Plot a 3D wireframe with data test data x, y, and z.To make it rotatable, we can set the elevation and azimuth of the axes in degrees (not radians), using view_init() ...
Read MoreShow Matplotlib plots (and other GUI) in Ubuntu
Use the plot method of matplotlib and set the legend with different sets of colors.StepsSet the X-axis label using plt.xlabel() method.Set the Y-axis label using plt.ylabel() method.Plot the lines using plt.plot() method with [9, 5], [2, 5] and [4, 7, 8] array.Initialize two variables; location = 0 for the best location and border_drawn_flag = True (True, if border to be drawn for legend. False, if border is not drawn).Use plt.legend() method for the legend and set the location and border_drawn_flag accordingly to get the perfect legend in the diagram.Show the figure using plt.show() method.Exampleimport matplotlib.pyplot as plt plt.ylabel("Y-axis ") ...
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