Write a python pandas algoithm

Write a python function that takes as input 2 dataframes: (a large full dataset with 50,000 rows and 10 columns, and a small dataframe which will be a single row with 10 columns) both dataframes are of the exact same format (same column names and format) 1) The function should count the number of rows in the larfe full dataset where all 10 values in the small dataset match exactly, if the count is greater than 10, return the count, else remove a column and count the number of rows where values for 9 columns match, if count >=10, return count, else remove another column and do the same for 8 columns until the base case of 2 columns is reached, then count and return the count Columns are final and should be hardcoded column names are: MEDICALCASECATEORY PROVIDERENTITYID PROVIDERCOUNTRYID PROVIDERAGREEMENTCLASSID DXCOUNT AGE GENDERID FOBCLASSID FOBID MEDICALCASECLASSIFICATIONCODE Remove columns in the following order: 1) MEDICALCASECATEORY 2) FOBCLASSID 3) FOBID 4) GENDERID 5) AGE 6) PROVIDERENTITYID 7) PROVIDERAGREEMENTCLASSID 8) DXCOUNT The last 2 columns should not be removed