jenncross

%Get started by opening MATLAB and clicking "New Script" then paste this code in the script window.
% Run the code by clicking "Run" in the editor tab.

%In MATLAB, comments are marked with percent signs instead of # (hash signs) or """
%(triple quotes).

%Code that is saved in a file and performs some actions is called a script.
%MATLAB scripts are saved with the suffix .m

%Assignment is still done with an equals sign and linspace works basically

jenncross

import numpy as np
import matplotlib.pyplot as plt
import random


def openckdfile():
    glucose, hemoglobin, classification = np.loadtxt('ckd.csv', delimiter=',', skiprows=1, unpack=True)
    return glucose, hemoglobin, classification

jenncross

import sympy as sym
import math

def title(s):
    print("\n")
    print("*******")
    print(s)

title("Square Root of 9")
print("Math: " + str(math.sqrt(9)))

jenncross

"""
Created on Wed Apr 10 13:27:17 2019

@author: jenncross
"""

import numpy as np

jenncross

"""
Created on Mon Apr  8 12:32:37 2019

@author: jenncross
"""

import imageio
from scipy import ndimage
import matplotlib.pyplot as plt
import numpy as np

jenncross

import numpy as np
import matplotlib.pyplot as plt
import scipy.signal as sig

x = np.linspace(1,100,200)

error = (np.random.normal(size=200))*1000 #generate random errror centered at 0
  

jenncross

"""
Data Parsing of the Bike Share Data
Available at https://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset
"""
#Here is a little magic that clears out your variables and console in Spyder
from IPython import get_ipython
get_ipython().magic('reset -sf') #deletes variables
get_ipython().magic('clear') #clears console

jenncross

import random
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

import dice # My custom module

rollsums = testSums(1, 100) 

jenncross

import random
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

def rolldice(number):
    rolls = np.zeros((number,), int)
    for i in range(number):
        die = random.randint(1,6)
        rolls[i] = die   

jenncross

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

fin = open("balloon.csv")

data = []

for line in fin:
    data.append(float(line[1:6]))