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To annotate points from a Pandas dataframe in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a two-dimensional, size-mutable, potentially heterogeneous tabular data, with x, y and textc columns.Plot the columns x and y data points, using plot() method.Concatenate Pandas objects along a particular axis with optional set logic along the other axes.Iterate the Pandas object.Place text for each plotted points using text() method.To display the figure, use show() method.Exampleimport pandas as pd import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = ... Read More
To show a bar and line graph on the same plot in matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a two-dimensional, size-mutable, potentially heterogeneous tabular data.Create a figure and a set of subplots.Plot the bar and line with the dataframe obtained from Step 2.To display the figure, use show() method.Exampleimport pandas as pd import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame(dict(data=[2, 4, 1, 5, 9, 6, 0, 7])) fig, ax = plt.subplots() df['data'].plot(kind='bar', color='red') df['data'].plot(kind='line', marker='*', color='black', ms=10) ... Read More
To plot blurred points in matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing new figure.Add an ax1 to the figure as part of a subplot arrangement.First, we can make a marker, i.e., to be blurred.Set the X and Y axes scale, turn off the axes.Save the marker in a file, and load that image to be plotted after blurred.Close the previous figure, fig1.Create a new figure or activate an existing figure, fig2.Create random data points, x and y.Apply Gaussian filter, to ... Read More
To randomize column values of a data.table object for a set of columns in R, we can follow the below steps −First of all, create a data.table object.Then, use sample function for randomizationwith lapply while selecting the columns with SDcols.Create the data frameLet's create a data frame as shown below −Examplelibrary(data.table) ID
When you create a Dockerfile, you can use two different commands to build your context. Building a context means including the files and directories that you want from your local machine, to be in your container when it’s created. These files may be directories in your local machine, a URL from which you want to download files, or a compressed tarball file that you want to include as it is or after extracting the tarball file.We can use two different instructions to add the files from the build context in the local machine to the Docker container. These are the ... Read More
The AND has the highest priority than the OR operator in MySQL select query.Let us check how MySQL gives the highest priority to AND operator.The query is as followsmysql> select 0 AND 0 OR 1 as Result;The following is the output+--------+ | Result | +--------+ | 1 | +--------+ 1 row in set (0.00 sec)If you are considering the OR operator has the highest priority then MySQL will wrap up the above query like this.The query is as followsselect 0 AND (0 OR 1) as ResultFirst, solve the 0 OR 1, this will give result 1. After that ... Read More
We can build Docker images by specifying instructions inside a Dockerfile. Dockerfile allows us to specify step-by-step instructions which define the rules for making a container environment. The Docker containers are created for specific tasks and processes to be run inside them. There are three important instructions that are used inside a Dockerfile which lets us define which processes need to be run inside the containers and in what sequence and order.These 3 instructions are -RUNCMDENTRYPOINTThe RUN instruction is quite simple. We can define simple subcommands along with the RUN instruction that we want to execute inside the container. For ... Read More
Vagrant is a software that allows you to create a virtual machine that replicates the user's experience exactly as they want to set it up. Specifically, Vagrant allows you to test your application in a specific environment by mirroring the OS and all appropriate configurations.Whereas Docker is a framework that lets you containerize your app and build so-called microenvironments for deploying it without having to run a whole VM. Each container is a separate isolated environment that contains a unique application environment.As a result, programmers, testers, and DevOps engineers are able to spend less time debugging and identifying important bugs ... Read More
Docker allows you to create containerized, packaged, and isolated environments called Docker containers using Docker images. Inside these Docker containers, you can build, test, and even deploy your applications. This allows you to easily share your application run-time environment with other developers. All of this is possible because of a read-only template called Docker images.You can pull Docker images directly from any Docker registry such as Dockerhub or use a bse image inside a Dockerfile to build your own custom images. You can then use the Docker build command to build your Docker images. Once you have your Docker image ... Read More
Docker allows you to remove old and stale containers that are of no use to you. You can use the Docker rm or Docker container rm commands to do so. However, before you start removing your containers, you need to make sure that none of your containers are actively running. In such a case, Docker will throw an error.However, there is another workaround to this. You can remove Docker containers forcefully using the --force option as well. The Docker remove commands allow you to remove one or more Docker containers together. You just need to specify the container IDs or ... Read More