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Programming Articles
Page 2231 of 2547
Show the origin axis (x,y) in Matplotlib plot
To show the origin, we can take the following Steps −Create the points x, y1 and y2 using numpy.Plot the sine and cosine curves using plot() methods.Plot the vertical line, i.e., x=0.Plot the horizontal line, i.e., y=0.Intersection point of (Step 3 and 4), could be the origin.To display the label of lines, use legend() method.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 x = np.linspace(1, 10, 50) y1 = np.sin(x) y2 = np.cos(x) plt.plot(x, y1, c="orange", label="y=sin(x)") plt.plot(x, y2, c="green", label="y=cos(x)") plt.axvline(x=0, c="red", label="x=0") plt.axhline(y=0, c="yellow", ...
Read MoreHow to change the color of data points based on some variable in Matplotlib?
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 matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(1, 20, 50) y = np.log(x) c = np.random.randint(x) plt.scatter(x, y, c=c) plt.show()Output
Read MoreHow to make pylab.savefig() save image for 'maximized' window instead of default size in Matplotlib?
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 pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() plt.plot([1, 3, 7, 3, 1], c="red", lw=2) plt.savefig("full_image.png") plt.show()Output
Read MoreHow can I show figures separately in Matplotlib?
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 of the plot over both the figures.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 fig1 = plt.figure("Figure 1") plt.plot([1, 3, 7, 3, 1], c="red", lw=2) plt.title("I am the part of figure 1") fig2 = plt.figure("Figure 2") plt.plot([1, 3, ...
Read MoreAutomatically 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 MoreUse Declarations in Rust Programming
Use Declarations in Rust are used to bind a full path to a new name. It can be very helpful in cases where the full path is a bit long to write and invoke.In normal cases, we were used to doing something like this:use crate::deeply::nested::{ my_function, AndATraitType }; fn main() { my_function(); }We invoked the use declaration function by the name of the function my_function. Use declaration also allows us to bind the full path to a new name of our choice.ExampleConsider the example shown below:// Bind the `deeply::nested::function` path to `my_function`. use deeply::nested::function as my_function; ...
Read MoreSuper and Self Keywords in Rust Programming
Whenever we want to remove the tedious long importing paths of functions that we want to invoke, either from the same function or from a different module, we can make use of the super and self keywords provided in Rust.These keywords help in removing the ambiguity when we want to access the items and also prevent unnecessary hardcoding of paths.ExampleConsider a simple example shown below:fn function() { println!("called `function()`"); } mod cool { pub fn function() { println!("called `cool::function()`"); } } mod my { fn function() { println!("called `my::function()`"); ...
Read MoreChannels in Rust Programming
Channels are a medium that allow communication to take place between two or more threads. Rust provides asynchronous channels that enable communication between threads.Channels in Rust allow a unidirectional flow of communication between two endpoints. These two endpoints are Sender and Receiver.ExampleConsider the example shown below −use std::sync::mpsc::{Sender, Receiver}; use std::sync::mpsc; use std::thread; static NTHREADS: i32 = 3; fn main() { let (tx, rx): (Sender, Receiver) = mpsc::channel(); let mut children = Vec::new(); for id in 0..NTHREADS { let thread_tx = tx.clone(); let child = thread::spawn(move || { ...
Read MoreStruct Visibility in Rust Programming
Structs in Rust contains an extra level of visibility. These can be modified by the developers as per his/her convenience.In a normal scenario, the visibility of the struct in Rust is private and it can be made public by making use of the pub modifier.It should be noted that this case of visibility only makes sense when we are trying to access the struct fields from outside the module, from where it is defined.When we are hiding the fields of the struct, we are simply trying to encapsulate the data.ExampleConsider the example shown below −mod my { // A ...
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