Filter the Pandas Serials

In Python, Pandas Series.filter() is a one-dimensional ndarray with axis labels, and the labels need not be unique but must be a washable type in Python. The objects support both integer-and label-based indexing, providing various methods for performing operations involving the index. 

Pandas Series.filter() function returns the subset of rows and columns of the dataframe according to labels in the specified index. Note that this routine will not filter a dataframe on its contents. 

Series. filter() function: 

1. Parameter of filter(): 

• items: takes a list of axis labels that we want to filter. 
• like: takes the axis string label that we want to filter. 
• regex: regular expression. 
• axis: [0 or 'index', 1 or 'columns', None], By default, None, and it uses a column when we have not specified any. 

2. Return Value of filter(): 

• The filter() function of the same type as the input object returns the value. 

3. Create Pandas Series: 

• It can store all the data types, such as integers, strings, float, and other python objects, and we can access every element in the series using the corresponding default indices. 

Here is an example of how to filter Pandas serials: 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using Pandas library.

Instructions

Follow the steps carefully to get the output easily.

1. Install pandas on your IDE(Any of your favorite IDE).
2. Copy the snippet using the 'copy' and paste it in your IDE.
3. Add required dependencies and import them in Python file.
4. 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 filter the Pandas serials' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in PyCharm 2021.3.
2. The solution is tested on Python 3.9.7.
3. Pandas version-v1.5.2.

Using this solution, we are able to filter the pandas serials 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 filter the pandas serials.

Dependent Library

You can also search for any dependent libraries on kandi like 'pandas'.

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