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Articles by Tapas Kumar Ghosh
Page 14 of 19
How to select a range of rows from a dataframe in PySpark?
The dataframe in PySpark is defined by a shared collection of data that can be used to run in computer machines and structurize the data into rows and columns format. The range of rows defines a horizontal line(set of multiple values according to condition) in the dataset. In general, the range sets the lowest and highest values. In Python, we have some built-in functions like filter(), where(), and, collect() to select a range of rows from a dataframe in PySpark. Syntax The following syntax is used in the examples − createDataFrame() This is a built-in method in Python ...
Read MoreHow to slice a 3D Tensor in Pytorch?
The 3D Tensor in Python is known for its array of matrices whereas the 1D and 2D Tensor represents vector and matrix respectively. The Pytorch is defined by an open-source module of machine learning framework based on Python programming and it provides the module named torch. In Python, we have some built-in functions like randn(), rand(), and split() that can be used to represent the slice of a 3D tensor in Pytorch. Syntax The following syntax is used in the examples − import torch This is a Python module that holds the base class of all neural networks. It ...
Read MoreHow to skip rows while reading csv file using Pandas
Python has a built-in method read_csv that can be used to set the skip rows while reading csv file using Pandas. The CSV stands for Comma Separated Values and is known as an extension of a file that contains the database. This technique can be used in any application that involves reading and processing data from a CSV file. The various application used like data filtering, excel tool, etc. Syntax The following syntax is used in the examples − read_csv('file_name.csv', skiprows= set the condition according to user choice) This is a built-in function of the pandas module that can ...
Read MoreHow to Show Values on Seaborn Barplot?
In Seaborn's barplot, the average value of a numerical variable is displayed, while error bars indicate the range of possible values surrounding the average. When comparing values to 0, it is helpful. In Python, we have some built-in functions like barplot(), enumerate(), and, text() that can be used to Show Values on Seaborn Barplot. For example, we might compare the average sales of various products or the average test results of students in various classrooms using a barplot. Syntax The following syntax is used in the examples − barplot() This is an in-built function in Python that will use to ...
Read MorePython Program to display date in different country format
In Python, we have some time in-built functions like datetime.now(), utcnow(), astimezone(), and strftime() that can be used to display time in the different country formats. In this program, we will use the modules namely datetime(to access all content related to date and time) and pytz(allows for timezone calculation and conversion of datetime). To get the timezone of different countries the UTC will be set by an in-built function named utcnow(). The problem statement follows some built-in functions of Python such as datetime.now(), utcnow(), astimezone(), and strftime() that will be used to display time in different country formats. Syntax The ...
Read MoreHow to slice a PySpark dataframe in two row-wise dataframe?
PySpark dataframe is defined as a collection of distributed data that can be used in different machines and generate the structure data into a named column. The term slice is normally used to represent the partitioning of data. In Python, we have some built-in functions like limit(), collect(), exceptAll(), etc that can be used to slice a PySpark dataframe in two row-wise dataframe. Syntax The following syntax is used in the examples − limit() This is a built-in method in Python that can be used to set the range of rows by specifying the integer value. subtract() The ...
Read MoreHow to set axes labels & limits in a Seaborn plot?
Creating the plots using Seaborn will adjust the labels and axes limitations to make the plots more understandable. The axes labels are the names we can provide to the x and y axes so that others can understand what the plots show. We can focus on select areas of the data that are significant by altering the axes' limitations. Seaborn includes straightforward methods for setting axis labels and boundaries that allow us to make our plots more informative. In Python, we have some built-in functions like xlabel(), ylabel(), xlim(), and, ylim() that can be used to set the axes labels ...
Read MoreHow to set the tab size in Text widget in Tkinter?
The Python Tkinter module allows us to develop graphical user interfaces (GUIs) and show main windows on the screen. The value of a Tkinter window screen from its ability to improve the user experience and enable the interactivity of user's programs. In Python, we have some built-in functions like Tk(), Text(), pack(), etc. that can be used to set the tab size in Text widget in tkinter. Syntax The following syntax is used in the examples − Tk() This is a built-in function of tkinter module that helps to display the main window and manage all the components of ...
Read MoreHow to setup Conda environment with Jupyter Notebook?
The Jupyter Notebook is an open-source web application that allows users to run all features of the Data and Machine Learning project. The word Conda is known as package manager which handles different packages by installing them through its command. The Conda environment is similar to Python virtual environment that allows users to write code in Python programming language. The benefits of a conda environment − Getting more Python Package that handles large-scale data project. Its packages help to understand the complex structure of any dataset. System Requirement to set up Conda Environment With Jupyter Notebook ...
Read MoreHow to set alignment of each dropdown widget in Jupyter?
We will use HTML and CSS to align dropdown widgets in Jupyter. We may modify the alignment of the dropdown widget by adding certain CSS classes to it. This allows us to place the dropdowns in our Jupyter notebook either side by side or one below the other, making it seem visually attractive. Here is a simple method to help us align dropdown widgets in Jupyter and improve the user experience. The following syntax is used in the examples − Dropdown() The Dropdown() is a built-in function that follows the module named ipywidgets and it builds the list ...
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