kwcooper

# Modified 190812 k
# Be sure to add to the list of packages in deployment.py
# /usr/lib/python3/dist-packages/landscape/sysinfo/deployment.py

from twisted.internet.defer import succeed
from requests import get

current_instance = None

kwcooper

# To clean and convert a whatsapp txt file export to a CSV file

import pandas as pd

# read file by lines
file_path = "whatsapp.txt"
f = open(file_path, 'r')
data = f.readlines()
f.close()

kwcooper

# Wald-Wolfowitz Runs Test (Actual)
# *** For educational purposes only, 
# use more robust code for actual analysis

import math
import scipy.stats as st # for pvalue 

# Example data (Current script only works for binary ints)
L = [1,1,1,0,1,1,1,0,0,1,1,0,0,1,1,1,0,1,1,0,0,0,1,0,1,0,0,1,0,0,1,1,1,0,0,0,1]

kwcooper

import matplotlib.pyplot as plt
from matplotlib import dates
import datetime

from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()

# TODO: Turn this bad boy into a function

# Raw data example (Format will vary)

kwcooper

# make a movie from images

import glob
import imageio
import os

path_name = "img/*.png"

# grab files, sorted by modification time
#filenames = glob.glob("img/*.png")

kwcooper

import math as m
import kMath as km
import matplotlib.pyplot as plt

A = .96 #initial height
ma = 5.0 #mass
k = 2.1 #spring constant
b = 0.09  #dampening
theta = 0 #phase angle
w = m.sqrt(k / ma)

kwcooper

import numpy as np
import matplotlib.image as img
import matplotlib.pyplot as plt

image = img.imread('school.png') # Grab the image

def toGreyscale(image):
    # convert the RGB to Greyscale
    return np.dot(image[...,:3], [0.114, 0.299, 0.587])