#!/usr/bin/env python3
import numpy as np
from numpy import loadtxt
from scipy import stats
import statsmodels.api as sm
import matplotlib.pyplot as plt
import pylab

import sys

cc19=loadtxt(sys.argv[1],delimiter=',')
cc19s_o=stats.spearmanr(cc19,nan_policy='omit')
cc19s_x=np.array([np.concatenate((cc19s_o.correlation[i][1:i],cc19s_o.correlation[i][i+1:])) for i in range(1,101)])
cc19s_xd=[stats.describe(cc19s_x[i]) for i in range(100)]