This Python function, `show_unique_values`, is designed to analyze and display...

This Python function, show_unique_values, is designed to analyze and display the unique values in each column of a given Pandas DataFrame, dataframe. Here's what it does step by step:

1. It prints a decorative header made up of = characters and a descriptive message ("Unique values in each column").
2. It then iterates over all the columns in the input DataFrame (dataframe.columns).
3. For each column:
   • It calculates the unique values in the column using dataframe[column].unique() and stores them in the variable unique_values.
   • It prints the column name, the count of unique values using len(unique_values), and the actual unique values themselves.
4. After processing all columns, it prints a final decorative footer made of = characters.
5. Lastly, the function is invoked on a DataFrame named df to display its unique values column by column.

Example Behavior:

For example, if df is:

   A  B
0  1  x
1  2  y
2  1  x
3  3  z
4  2  x

The function will output:

==================================================
          
          Unique values in each column
==================================================

Column: A
Number of unique values: 3
Unique values: [1 2 3]

Column: B
Number of unique values: 3
Unique values: ['x' 'y' 'z']

==================================================

This function is useful for exploratory data analysis, helping you quickly understand the diversity or cardinality of data in each column.