Part1.py

import matplotlib.pyplot as plt
import pandas as pd

def collectSameData(list1,list2):
    dateList=[]
    sumList=[]
    i=0
    while i != len(list1):
        if(list1[i]==0):
            i+=1
            continue
        else:
            date=list1[i]
            sum=0
            for j in range(i,len(list1)):
                if(date==list1[j]):
                    sum=sum+list2[j]
                    list1[i]=0
                    list1[j]=0
            dateList.append(date)
            sumList.append(sum)
            i+=1
    return  dateList,sumList


print('Question 1 part 1')
df=pd.read_csv('dailySteps_merged.csv')
list1=df['ActivityDay'].values.tolist()
list2=df['StepTotal'].values.tolist()
dateList,stepList=collectSameData(list1, list2)
plt.plot(dateList,stepList,color='green' )
plt.title('Daily Steps')
plt.xlabel('steps')
plt.ylabel('Date')
plt.xticks(rotation=90)
plt.show()


print('Question 1 part 2 ')
df=pd.read_csv('dailyActivity_merged.csv')
list3=df['ActivityDate'].values.tolist()
list4=df['TotalDistance'].values.tolist()
dateList,stepList=collectSameData(list3, list4)
plt.bar(dateList,stepList,width=1,color=['red','black'])
plt.title('Daily Steps ')
plt.xlabel('steps')
plt.ylabel('Date')
plt.xticks(rotation=90)
plt.show()




print('Question 1 part 3')

df=pd.read_csv('sleepDay_merged.csv')
list1=df['SleepDay'].values.tolist()
list2=df["TotalTimeInBed"].values.tolist()
dateList,bedList=collectSameData(list1,list2)
plt.scatter(dateList,bedList)
plt.ylabel(' total time in bed (s)')
plt.xlabel('Date')
plt.xticks(rotation=90)
plt.show()


print('Question 1 part 4 ')

df=pd.read_csv('hourlySteps_merged.csv')
list1=df['ActivityHour'].values.tolist()
list2=df["StepTotal"].values.tolist()
hoursList,stepsList=collectSameData(list1, list2)
lhours=[]
lsteps=[]
for  i in range(0,24):
    lhours.append(hoursList[i])
    lsteps.append(stepList[i])
plt.pie(lsteps,labels=lhours)
plt.show()