Modules is one of the best feature of Python. Except some core modules, you can install what you need and keep your Python setup smooth.
Tkinter, an acronym for Tk interface is the Python library that provided a tool kit for Graphical User Interface(GUI) in Python. It is usually shipped with Python, which means if you have Python installed in your system, you likely already have Tkinter with you. Tkinter is widely used to develop desktop based GUI applications and …
Tkinter-Simple Drop Down Calendar and Date Picker Read More »
Python’s ‘re’ module, short for regular expressions, provides a powerful toolset for pattern recognition in text. There is a module called “re” which stands for regular expression in Python which contains various in-built functions for performing special operations on text and string objects. Unlike standard string objects, regular expressions account for patterns of various characters, …
Python Regex for Case-Insensitive Text Matching without re.compile() Read More »
Python is gifted with an variety of tools to optimise the cosmetics of the data analysed. One among them is the Styler which shall be explored to its lengths & breadths in this article. We shall narrow down particularly to how these styling are transferred from Python to an Excel spreadsheet. Styler object is very …
In this article, we make ourselves familiar with one more file type the Stata files in Python which come with several extensions(.dta,.ado,.do,.smcl, etc explained below). We also look at different methods to return a dictionary associating each variable name with the corresponding label. Understanding Stata Files Academic and research communities widely use Stata software a …
Working with Stata Files in Python: Reading Variable Labels with Pandas Read More »
To read data from fixed-width formatted text files to DataFrame, pandas have introduced a function called read_fwf().So what are fixed-width formatted text files? Fixed-width formatted text files are files where each field in a row has a fixed width or fixed number of characters. These types of files were primarily used in legacy systems for …
The Groupby function of the Pandas library is used to categorize the data based on a certain condition. The Pandas data frame can be split based on criteria with the help of the groupby function. It is similar to the groupby function in SQL querying where the output is printed based on certain conditions. The …
The most useful, easy to understand, and efficient open-source library tool for handling data, cleaning the data, modification, and analysis in Python is Pandas. As a result, Pandas is quite useful when working with large datasets. Pandas’ built-in function facilitates reading datasets in a variety of formats. Python users can read CSV files (Comma Separated Values files) in …
ORC stands for Optimized Row Columnar storage format was introduced to store the Hive workloads efficiently. As the name suggests, the ORC format stores the data in the form of columns which enables us to perform parallel processing of data and also helps to store the data efficiently. The ORC format was initially introduced by …
What Is ORC and How to Write a Data Frame to ORC Format? Read More »
When you’re working with Pandas, you must have seen the axis as the argument for many functions. What is this axis? What does it mean? Why is it so important? Let’s dive deep into Pandas and understand what this axis is and how to use it. What is Pandas? Pandas is one of the most …
Legend in terms of a graph or any plot provides the description of the elements inside the plot. These elements can be the entities plotted on the graph, their scales, their colors, and so on. A legend is usually a box placed at the top right or left corner of the graph, but its location …
How to Place the Legend Outside the Plot Using Matplotlib? Read More »