Using Python pandas script as flow in your Tableau Prep!

python_tableau_pandas.py

# This is a sample pandas script which you can integrate with your Tableau Prep flow
# 'import pandas as pd' can be skipped as it is already loaded on your server
# 'df is your input dataset' which you connected

def get_data(df):
    return df.head(100)

def drop_duplicates(df):
    return df.drop_duplicates()

def get_bottom_n(df):
    return df.tail(n=100)

def get_top_n(df):
    return df.head(n=100)

def get_sample_n(df):
    return df.sample(n=50)

python_tableau_pandas_cols.py

# If you want to get different fields / columns from the input
# you have to define the schema using the get_output_schema function
# this tells Tableau Prep how to format your data

def get_columns(df):
    out_df = df.query('Discount == 0')
    return out_df[['Discount','Days to Ship']]

def get_output_schema():       
    return pd.DataFrame({
    'Discount' : prep_int(),
    'Days to Ship' : prep_int()
})