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Articles on Trending Technologies
Technical articles with clear explanations and examples
How 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 put a legend outside the plot with Pandas?
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 degree of control for manual legend placement. For example, if you want your axes legend located at the figure's top right-hand corner instead of the axes' corner, simply specify the corner's location, and the coordinate system of that location.To display the figure, use the show() method.Exampleimport pandas as pd from ...
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 MoreHow to automate google Signup form in Selenium using Python?
We can automate Google Signup form with Selenium webdriver in Python. To automate this page, we have to first launch the Google Signup page and identify each element on the form.Let us have a look at the Google Signup form −Examplefrom selenium import webdriver #set chromodriver.exe path driver = webdriver.Chrome(executable_path="C:\chromedriver.exe") #implicit wait driver.implicitly_wait(0.5) #launch URL driver.get("https://accounts.google.com/signup") #identify elements within form f = driver.find_element_by_id("firstName") f.send_keys("Test") l = driver.find_element_by_id("lastName") l.send_keys("One") u = driver.find_element_by_id("username") u.send_keys("test124ewin") p = driver.find_element_by_name("Passwd") p.send_keys("test124@") c = driver.find_element_by_name ("ConfirmPasswd") c.send_keys("test124@") #get value entered s = f.get_attribute("value") t = l.get_attribute("value") v = u.get_attribute("value") w = p.get_attribute("value") print("Values entered in form: ...
Read MoreHow does Selenium Webdriver handle SSL certificate in Chrome?
We can handle SSL certificate with Selenium webdriver in Chrome browser. A SSL is the standardized protocol used to create a connection between the browser and server.The information exchanged via a SSL certificate is encrypted and it verifies if the information is sent to the correct server. It authenticates a website and provides protection from hacking.An untrusted SSL certificate error is thrown if there are problems in the SSL certificate. We shall receive such an error while we launch a website. In Chrome, we use the ChromeOptions class to work with SSL certificates.We shall create an instance of this class ...
Read MoreHow to install Selenium package in Anaconda?
We can install the Selenium package in Anaconda. The conda has multiple packages so that it can be integrated with Selenium, Selenium-pytest, and so on from the below link − https://anaconda.org/searchA conda is a command line tool in the form of a package which is used for Anaconda.It has some similarities with pip. Selenium is present within the community based conda-forge channel available from the below link − https://anaconda.org/conda-forge/seleniumTo complete installation of this package, we can execute any of the below commands −conda install -c conda-forge seleniumconda install -c conda-forge/label/gcc7 seleniumconda install -c conda-forge/label/cf201901 seleniumconda install -c conda-forge/label/cf202003 selenium
Read MoreHow to get the following-sibling element for a table type of structure in Selenium?
We can get the following-sibling element for a table type of structure in Selenium webdriver. A following-sibling is used to determine the siblings of the context node.Also, these siblings should be present at the same hierarchy of the current node and share the same parent. Let us take an instance of a table with table tag having multiple children with tag tr.Then let us try to identify the elements in the third row highlighted on the below image from the first row which contains the table headers.Syntax//table[@id='table1']/tbody/tr[1]/following-sibling::tr[2]/tdHere, we are locating the third row in the table, but we have provided ...
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