How to Install and Uninstall python3-pandas-flavor.noarch Package on Fedora 38

Last updated: October 12,2024

1. Install "python3-pandas-flavor.noarch" package

This tutorial shows how to install python3-pandas-flavor.noarch on Fedora 38


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                python3-pandas-flavor.noarch
            
                    
    
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2. Uninstall "python3-pandas-flavor.noarch" package

Here is a brief guide to show you how to uninstall python3-pandas-flavor.noarch on Fedora 38:


    
        
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                sudo dnf remove
            
                        
                python3-pandas-flavor.noarch
            
                    
    
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                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-pandas-flavor.noarch package on Fedora 38

Last metadata expiration check: 5:51:19 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : python3-pandas-flavor
Version : 0.5.0
Release : 1.fc38
Architecture : noarch
Size : 67 k
Source : python-pandas-flavor-0.5.0-1.fc38.src.rpm
Repository : fedora
Summary : The easy way to write your own flavor of Pandas
URL : https://github.com/Zsailer/pandas_flavor
License : MIT
Description :
: The easy way to write your own flavor of Pandas
: -----------------------------------------------
:
: Pandas 0.23 added a (simple) API for registering accessors with Pandas objects.
:
: Pandas-flavor extends Pandas’ extension API by:
:
: 1. adding support for registering methods as well.
: 2. making each of these functions backwards compatible with older versions of
: Pandas.
:
: What does this mean?
: --------------------
:
: It is now simpler to add custom functionality to Pandas DataFrames and Series.
:
: Import this package. Write a simple python function. Register the function
: using one of the following decorators.
:
: Why?
: ----
:
: Pandas is super handy. Its general purpose is to be a "flexible and powerful
: data analysis/manipulation library".
:
: Pandas Flavor allows you add functionality that tailors Pandas to specific
: fields or use cases.
:
: Maybe you want to add new write methods to the Pandas DataFrame? Maybe you want
: custom plot functionality? Maybe something else?