from WatsonExplorer import Explorer

"""Place the following statement at the end of your Python file."""
Explorer()

"""
After running the script, it will extract all the dataframes from the file, delete all old HTML files, create new HTML files, and open a local host to display the DataFrames. 
You can access the DataFrames using the dropdown menu. To stop the local host, click on the 'Stop Server' button, and the tab sheet will automatically close.
"""

"""REMARK:
It is not possible to view data from dataframes that are not linked to variables.
For example:
"""

example_dict = {'A' : [1,2,3,4], 'B' : [5,6,7,8]}

class Example():
    def __init__(self, dictionary=None):
        self.dataframe = pd.DataFrame(example_dict)
    
    def return_df_1(self):
        return self.dataframe
    
    def return_df_2(self):
        self.dataframe2 = self.dataframe.assign(D='Test')
        return self.dataframe2

example = Example(example_dict)
example.return_df_1() # The explorer will not include this dataframe.
example_df = example.return_df_2() # The explorer will include this dataframe.

"""REMARK 2:
This library is not designed to load more than 20,000 rows (yet). We recommend using .head() to reduce the size of your dataframe before using this library.
"""