EX_7_Script_Q3

import numpy
import os
import matplotlib.pyplot as plt
from plotnine import *
os.listdir('.')
os.chdir('/Users/sampathkumarbalaji/EX_7/Intro_Biocom_ND_319_Tutorial7')
import pandas

#to parse and read
data_txt = pandas.read_csv("data.txt")
directions = ['north','south','east','west']

#create dataframe
A=numpy.zeros((4,2))
mean_DF=pandas.DataFrame(A,columns=['region', 'mean_dir'])

#assigning values to data frame elements with mean of 4 regions
for i in range(0,4) :
    mean_DF.mean_dir[i] = numpy.mean(data_txt[data_txt.region==directions[i]].observations)
    mean_DF.region[i] = directions[i]

a=ggplot(mean_DF)+theme_classic()+xlab("region")+ylab("mean_dir")
a+geom_bar(aes(x="region",y="mean_dir"),stat="summary")

b=ggplot(data, aes(x="region", y="observations")) #Plot all observations on scatter plot
b+geom_jitter()+theme_classic()

#Bar Graph had mean plotted across the regions which almost had same values (~15). They almost looked the same.
#But on the scatter plot we north has points centered around 15 while east and west are equally spread and south
#has a bi-modal distribution.