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# import packages.
import numpy as np
import cv2
import time
  
# Initialize the fist webcam as webCam
webCam = cv2.VideoCapture(0)  
  
# Define the codec, fps, and resolution, to create the VideoWriter object
fourcc = cv2.VideoWriter_fourcc(*'mp4v')

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"""Nonparametric permutation testing Monte Carlo"""
np.random.seed(0)
rhos = []
n_iter = 5000
true_rho, _ = stats.spearmanr(upper(m1), upper(m2))
# matrix permutation, shuffle the groups
m_ids = list(m1.columns)
m2_v = upper(m2)
for iter in range(n_iter):
  np.random.shuffle(m_ids) # shuffle list 

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# Now lets measure the similarity 
print(stats.spearmanr(upper(m1), upper(m2)))

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def upper(df):
    '''Returns the upper triangle of a correlation matrix.

    You can use scipy.spatial.distance.squareform to recreate matrix from upper triangle.

    Args:
      df: pandas or numpy correlation matrix

    Returns:
      list of values from upper triangle

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import seaborn as sns
import numpy as np
import pandas as pd
import scipy.stats as stats
from scipy.spatial.distance import squareform
import matplotlib.pyplot as plt

# n is the number of subjects or items that will determine the size of the correlation matrix. 
n = 20 
data_length = 50

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from scipy import stats

def create_future():
  """Code to create datetime index for the covid WFH period."""
  future = list()
  for y in [2020]:
    for m in range(4, 13):
      date = f'{y}-{m:02d}' 
      future.append([date])
  for y in [2021]: