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analysis_functions.py
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analysis_functions.py
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#!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib
matplotlib.use('TkAgg')
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
data = pd.read_excel('Data/A_new.xlsx')
data.dropna(inplace = True)
def __init__(self,window):
self.box=Entry(window)
self.button=Button(window,text="check",command=self.plot)
self.box.pack()
self.button.pack()
#A
def getTotalAreaSoldVsLeased(year):
year_data = data[data['Year'] == year]
owned = data[data['Year']==year ]
owned = owned[owned['Tenure'] == 'Owned']
area_owned = sum(owned['Area'])
leased = data[data['Year']==year ]
leased = leased[leased['Tenure'] == 'Leased']
area_leased = sum(leased['Area'])
sns.countplot(x='Tenure',data=year_data,palette='Set1')
return area_owned, area_leased
plt.show()
plt.gcf().canvas.draw()
fig=plt.figure()
canvas=FigureCanvasTkAgg(fig, master=window)
canvas.get_tk_widget().grid(row=1,column=24)
canvas.draw()
# own_area, leas_area = getTotalAreaSoldVsLeased(2019)
#
# print('The total property area sold in Sq-M is ',own_area)
# print('The total property area leased in Sq-M is ',leas_area)
#B
def yeargotmaximumleasedareainCAandWScountries(year):
leased_data = data[data["Tenure"] == "Leased"]
CA = leased_data[leased_data["Country"] == "CA"]
WS = leased_data[leased_data["Country"] == "WS"]
CA_YEAR = CA[CA["Year"] == year]
WS_YEAR = WS[WS["Year"] == year]
ca_max_leased_area = sum(CA_YEAR["Area"])
ws_max_leased_area = sum(WS_YEAR["Area"])
return ("CA",ca_max_leased_area),("WS", ws_max_leased_area)
#year = int(input("Enter the year: "))
#country1,country2 = yeargotmaximumleasedareainCAandWScountries(year)
#print(country1, "has the maximum leased area in the",year)
#print(country2, "has the maximum leased area in the",year)
# data["Agent"].value_counts().to_dict()
# data[data["Tenure"] == "Leased" and data["Year"] == 2017]
#C
def agentcode(year):
agent_data = data[data["Tenure"] == "Owned"]
agent_data = agent_data[agent_data["Year"] == year]
return agent_data["Identifier"].unique().tolist(), agent_data["Agent"].unique().tolist()
# year = int(input("Enter the year: "))
# identifier, agents = agentcode(year)
# print("Identifiers = ", identifier)
# print("Agents = ", agents)
#D
def maxleasedagent(year):
leased_data = data[data["Tenure"] == "Leased"]
leased_data = leased_data[leased_data["Year"] == year]
leased_data = leased_data[leased_data["City"] == "Chilliwack"]
agent_dict = leased_data["Agent"].value_counts().to_dict()
# print(agent_dict)
required_agent = max(agent_dict, key=agent_dict.get)
return required_agent
# year = int(input("Enter the year: "))
# agent = maxleasedagent(year)
# print(agent,"agent has got the maximum deals in leased form. ")
# leased_data = data[data["Tenure"] == "Leased"]
# leased_data = leased_data[leased_data["Year"] == 2018]
# leased_data = leased_data[leased_data["City"] == "Chilliwack"]
#E
agent_list_dict = data['Agent'].value_counts().to_dict()
agent_list = []
for k in agent_list_dict:
agent_list.append(k)
agent_list
def get_agent(year):
area_owned_agent={}
area_leased_agent={}
year_data = data[data['Year']==year]
for agent in agent_list:
agent_data = year_data[year_data['Agent']==agent]
owned_area_data = agent_data[agent_data['Tenure'] == 'Owned']
leased_area_data = agent_data[agent_data['Tenure'] == 'Leased']
area_owned_agent[agent] = round(sum(owned_area_data['Area']),2)
area_leased_agent[agent] = round(sum(leased_area_data['Area']),2)
return area_owned_agent, area_leased_agent
#owned_agent_list, leased_agent_list = get_agent(2017)
# plt.hist(owned_agent_list.keys(), owned_agent_list.values(), color='g', label = "Real distribution")
# plt.show()
#print(owned_agent_list)
#print(leased_agent_list)
#keys = owned_agent_list.keys()
#vals = owned_agent_list.values()
#plt.figure(figsize=(14, 6), dpi= 80, facecolor='w', edgecolor='k')
#plt.bar(keys, vals, label="Distrinution")
#plt.ylim(0,max(vals))
#plt.ylabel ('Area Sold (sq.meter)')
#plt.xlabel ('Agents')
#plt.xticks(list(keys))
#plt.legend (bbox_to_anchor=(1, 1), loc="upper right", borderaxespad=0.)
#F
def propertysoldforjuly():
owned =data[data["Tenure"] == "Owned"]
area_owned = sum(owned['Area'])
return area_owned
#year = int(input("Enter the year: "))
#propertyareasold= propertysoldforjuly()
#print("The amount of property area sold for the month of july is",propertyareasold,"sq.m in the year",year)
#G
#x=data[['Year']]
#datatoplot=data[['Area']]
#plt.plot(x,datatoplot)