Retrieving Data from a Dataframe by Indexing using List of Tuples
by Abdul Rawoof A R Updated: Mar 1, 2023
In Pandas, the method that returns specified columns from the DataFrame is the get() method. If we specify only one column, the return value is a Pandas Series object, and to specify more than one column, specify the columns inside an array. Then the result will be a new DataFrame object.
To get or retrieve the index of a Pandas DataFrame, then call DataFrame.index property. This property returns an index object representing the index of this DataFrame. To access the Pandas DataFrame by column index, use DataFrame.loc and DataFrame. iloc to select a single required column or multiple columns that we want from Pandas DataFrame by column names/labels or index position respectively. loc is used with column labels/name, whereas iloc is used with column index/position.
We can create a DataFrame from different tuples, and we can even choose the specific elements of the tuples we want to use. Program execution is faster when manipulating a tuple than the equivalent list, and sometimes we do not want data to be modified. Suppose the values inside the collection will remain constant for the program's life. In that case, we use a tuple instead of a list to guard against accidental modification. There is another Python data type that we will encounter shortly called a dictionary, which requires a value of an immutable type as one of its components. A tuple can be used for this case, whereas a list cannot be.
Here is an example of how to retrieve data from a DataFrame by indexing using the list of tuples:
Fig : Preview of the output that you will get on running this code from your IDE.
In this solution we're using Pandas library.
Follow the steps carefully to get the output easily.
- Install pandas on your IDE(Any of your favorite IDE).
- Copy the snippet using the 'copy' and paste it in your IDE.
- Add required dependencies and import them in Python file.
- Run the file to generate the output.
I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.
I found this code snippet by searching for 'how to retrieve data from a dataframe by indexing using a list of tuples in pandas' in kandi. You can try any such use case!
I tested this solution in the following versions. Be mindful of changes when working with other versions.
- The solution is created in PyCharm 2021.3.
- The solution is tested on Python 3.9.7.
- Pandas version-v1.5.2.
Using this solution, we are able to retrieve data from a dataframe by indexing using a list of tuples in pandas with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to retrieve data from a dataframe by indexing using a list of tuples in pandas.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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