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The method to distinguish between values of different items in a pandas dataframe is to use indexing and slicing.

Indexing allows you to access specific rows, columns or cells of the dataframe. For example, you can use df.iloc[0] to access the first row of the dataframe, or df['Column_name'] to access a specific column.

Slicing is used to extract specific portions of the dataframe. For example, df.loc[start_index:end_index, column_name] is used to extract a portion of the dataframe that includes specific rows and columns.

You can also use conditional statements to filter out specific values, such as df[df['Column_name'] > 50] which returns all rows where the value in "Column_name" is greater than 50.

Overall, pandas provides many methods to explore and manipulate the values in a dataframe.