How you can use these pandas methods to transition from Microsoft Excel to Python, saving you serious time and sanity.
This reads your Excel file into a pandas dataframe (the python equivalent of the tabular structure you’re used to). You’ll want to reuse this dataframe, so we’ll save it to the variable
df = pd.read_excel(some_file_path)
It might seem a bit strange at first that you’re not viewing every single row of data like in an Excel file. Here’s how to view the first five records — you can specify this value inside the parentheses, it’s default is just five.
It’s usually helpful to know how many rows you’re working with, so to get this you can call the
With one line of code you’re able to get the min, max and mean of all columns within your dataframe — hopefully you’re starting to be sold using Pandas already…
This one is fairly self explanatory, to replace all null values (these appear as
NaN -not a number- within a dataframe) with a zero.
You can take this one step further by forward filling, or backwards filling the value with that above or below that particular row.
In this post, we will learn about pandas’ data structures/objects. Pandas provide two type of data structures:- ### Pandas Series Pandas Series is a one dimensional indexed data, which can hold datatypes like integer, string, boolean, float...
Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
Python’s popularity is growing the quickest among programming languages. This means more and more employers are looking for developers, data scientists and analysts that know how to program Python and take advantage of its many open source libraries.
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.