python - Function which changes strings of filenames based on a list -

i have multiple folders csv files in them, , creating cartesian lists , running statistics on file combinations.

so far executing this:

import pandas pd import os import scipy sp scipy import stats import glob import itertools # # path =r'f:\sheyenne\statistics\idl_stats\ndvi' # use path allfiles = glob.glob(path + "/*.csv") result = list(itertools.product(allfiles,allfiles)) # dataframe=[] files in result:      x=(pd.read_csv(files[0], names = ['percent', 'value']))      z=x.percent      y=(pd.read_csv(files[1], names = ['percent', 'value']))      d=y.percent      stats2=sp.stats.ks_2samp(z,d)      g=files, stats2      df=pd.dataframe(data=list(sum(g, ())), index=['file1', 'file2', 'd', 'p_value']).transpose()      dataframe.append(df) df=pd.concat(dataframe) print df 

but problem have multiple folders need navigate within pathway. r'f:\sheyenne\statistics\idl_stats\ndvi' 1 of many folders need execute code on. there way create function , change string of pathway this? if next folder location r'f:\sheyenne\statistics\idl_stats\ndii' , have list names ndvi , ndii want automate run same code on next folder changing string (only portion after r'f:\sheyenne\statistics\idl_stats\) within pathway based on items in list.

i hope makes sense.

create function:

def get_df(path):     allfiles = glob.glob(path + "/*.csv")     result = list(itertools.product(allfiles,allfiles))     #     dataframe=[]     files in result:         x=(pd.read_csv(files[0], names = ['percent', 'value']))         z=x.percent         y=(pd.read_csv(files[1], names = ['percent', 'value']))         d=y.percent         stats2=sp.stats.ks_2samp(z,d)         g=files, stats2         df=pd.dataframe(data=list(sum(g, ())), index=['file1', 'file2', 'd', 'p_value']).transpose()         dataframe.append(df)     return pd.concat(dataframe) 

and use paths:

import os  paths = [os.path.join(r'f:\sheyenne\statistics\idl_stats', name)          name in ['ndvi', 'ndii']] dfs = [get_df(path) path in paths]