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gui_tab6.py
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# -*- coding: utf-8 -*-
"""
Created on Tue Jan 4 20:56:40 2022
@author: wb305167
"""
import json
from tkinter import *
import tkinter as tk
from tkinter import ttk
import tkinter.font as tkfont
from tkinter.messagebox import showinfo
from tkinter import filedialog
from threading import Thread
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.pyplot import figure
from matplotlib import rcParams
from matplotlib.ticker import NullFormatter
rcParams.update({'figure.autolayout': True})
import numpy as np
#from taxcalc import *
from PIL import Image,ImageTk
def update_chart_list(self):
self.chart_combo['values'] = self.chart_list
def tab6(self):
global_vars = self.get_inputs()
#print('global_vars[chart_list] ', global_vars['chart_list'])
# self.button_1_TAB6_pos_x = self.block_1_title_pos_x
# self.button_1_TAB6_pos_y = self.block_1_title_pos_y
"""
self.button_1_TAB6_pos_x = 0.5
self.button_1_TAB6_pos_y = 0.1
self.button_display_charts = ttk.Button(self.TAB6, text = "Display Charts", style='my.TButton', command=self.display_chart)
self.button_display_charts.place(relx = self.button_1_TAB6_pos_x, rely = self.button_1_TAB6_pos_y, anchor = "w")
"""
self.combo_1_TAB6_x = 0.10
self.combo_1_TAB6_y = 0.10
self.TAB6_combo_entry_gap_x = 0.10
self.label_1_TAB6_x = self.combo_1_TAB6_x
self.label_1_TAB6_y = self.combo_1_TAB6_y
l1_TAB6=tk.Label(self.TAB6, text="Select Chart: ", font = self.fontStyle)
l1_TAB6.place(relx = self.label_1_TAB6_x,
rely = self.label_1_TAB6_y, anchor = "e")
self.combo_2_TAB6_x = self.combo_1_TAB6_x
self.combo_2_TAB6_y = self.label_1_TAB6_y + 0.1
"""
self.active_tax = self.find_active_taxes()
chart_list = []
for tax_type in self.active_tax:
chart_list = chart_list + [tax_type+'_revenue_projection']
chart_list = chart_list + [tax_type+'_distribution_table']
"""
chart_list = global_vars['chart_list']
self.chart_selection = tk.StringVar()
self.chart_combo = ttk.Combobox(self.TAB6, textvariable=self.chart_selection,
value=chart_list, font=self.text_font)
#chart_combo.current(0)
self.chart_combo.place(relx = self.combo_1_TAB6_x,
rely = self.combo_1_TAB6_y, anchor = "w", width=250)
f = open('global_vars.json')
global_vars = json.load(f)
#self.chart_combo.bind("<<ComboboxSelected>>", lambda event: self.get_attribute_selection(event))
self.chart_combo.bind("<<ComboboxSelected>>", lambda event: self.display_chart(event, global_vars))
def display_chart(self, event, global_vars):
def formatter(x, pos):
return str(round(x / 1e6, 1))
self.image = ImageTk.PhotoImage(Image.open("blank.png"))
self.pic = tk.Label(self.TAB6,image=self.image)
self.pic.place(relx = 0.30, rely = 0.1, anchor = "nw")
#self.selected_attribute_chart = self.attribute_selection.get()
selected_chart = self.chart_selection.get()
tax_type = selected_chart[:3]
tax_collection_var = tax_type+'ax'
print('tax_type in chart is', tax_type)
start_year= global_vars['start_year']
data_start_year= global_vars['data_start_year']
kakwani_list = global_vars['kakwani_list']
if (selected_chart==tax_type+'_revenue_projection'):
df = pd.read_csv(selected_chart+'.csv', index_col=0)
df = df.T
#print('df in chart is', df)
if self.vars[tax_type+'_adjust_behavior']:
df1=df[df.columns[:3]]
df1.columns=['Current Law', 'Reform', 'Behavior']
else:
df1=df[df.columns[:2]]
df1.columns=['Current Law', 'Reform']
df1 = df1.rename_axis('Year').reset_index()
fig, ax = plt.subplots(figsize=(8, 6))
plt.plot(df1['Year'], df1['Current Law'], color='r', marker='x',
label='Current Law')
plt.plot(df1['Year'], df1['Reform'], color='b', marker='o',
markerfacecolor='None', markeredgecolor='b',
label='Reform')
if self.vars[tax_type+'_adjust_behavior']:
plt.plot(df1['Year'], df1['Behavior'], color='g', marker='o',
markerfacecolor='None', markeredgecolor='g',
label='Behavior')
plt.legend()
plt.title('{} forecast (in billions)'.format(tax_type.upper()))
pic_filename1 = "rev_forecast.png"
plt.savefig(pic_filename1)
self.image = ImageTk.PhotoImage(Image.open("rev_forecast.png"))
self.pic = tk.Label(self.TAB6,image=self.image)
self.pic.place(relx = 0.4, rely = 0.1, anchor = "nw")
self.pic.image = self.image
elif (selected_chart==tax_type+'_distribution_table'):
df = pd.read_csv(selected_chart+'.csv', thousands=',')
df.drop('Unnamed: 0', axis=1, inplace=True)
df = df.set_index('index')
df.index.names = ['Decile']
fig, ax = plt.subplots(figsize=(8, 8))
#drop the rows that includes the average and top 1%
df=df[:-4]
ax = df.plot(kind='bar',y=[tax_collection_var+'_'+str(data_start_year), tax_collection_var+'_'+str(start_year), tax_collection_var+'_ref_'+str(start_year)],figsize=(7, 7))
ax.set_xlabel("Gross Taxable Income Deciles")
ax.yaxis.set_major_formatter(formatter)
ax.yaxis.set_minor_formatter(NullFormatter())
ax.set_ylabel("Average Tax Liability in millions")
pic_filename1 = "distribution_chart.png"
plt.savefig(pic_filename1)
self.image = ImageTk.PhotoImage(Image.open("distribution_chart.png"))
self.pic = tk.Label(self.TAB6,image=self.image)
self.pic.place(relx = 0.4, rely = 0.1, anchor = "nw")
self.pic.image = self.image
elif (selected_chart==tax_type+'_distribution_table_top1'):
df = pd.read_csv(selected_chart+'.csv', thousands=',')
df.drop('Unnamed: 0', axis=1, inplace=True)
df = df.set_index('index')
df.index.names = ['Decile']
fig, ax = plt.subplots(figsize=(8, 8))
ax=df.plot(kind='bar',y=[tax_collection_var+'_'+str(data_start_year),
tax_collection_var+'_'+str(start_year), tax_collection_var+'_ref_'+str(start_year)],figsize=(7, 7))
ax.set_xlabel("Gross Taxable Income Deciles")
ax.yaxis.set_major_formatter(formatter)
ax.yaxis.set_minor_formatter(NullFormatter())
ax.set_ylabel("Average Tax Liability in millions")
pic_filename1 = "distribution_chart_top.png"
plt.savefig(pic_filename1)
self.image = ImageTk.PhotoImage(Image.open("distribution_chart_top.png"))
self.pic = tk.Label(self.TAB6,image=self.image)
self.pic.place(relx = 0.4, rely = 0.1, anchor = "nw")
self.pic.image = self.image
elif (selected_chart==tax_type+'_distribution_table_income_bins'):
df = pd.read_csv(selected_chart+'.csv', thousands=',')
df.drop('Unnamed: 0', axis=1, inplace=True)
df = df.set_index('index')
df.index.names = ['Income Group']
#df1=df[df.columns[0]][2:][:-1]
df1 = df[[tax_collection_var+'_'+str(start_year), tax_collection_var+'_ref_'+str(start_year)]][2:][:-1]
#print('df1 is ', df1)
df1['pct1'] = df1[tax_collection_var+'_'+str(start_year)]/df1[tax_collection_var+'_'+str(start_year)].sum()
df1['pct2'] = df1[tax_collection_var+'_ref_'+str(start_year)]/df1[tax_collection_var+'_ref_'+str(start_year)].sum()
print("df1['pct2'] is", df1['pct2'])
labels1 = []
for i in range(len(df1['pct1'])):
if df1['pct1'][i]<0.05:
labels1=labels1+['']
else:
labels1=labels1+[df1.index[i]]
fig, (ax1,ax2) = plt.subplots(1,2,figsize=(10,7)) #ax1,ax2 refer to your two pies
w1,l1,p1 = ax1.pie(df1.pct1,labels=labels1,autopct = '%1.1f%%', startangle=90, pctdistance=1) #plot first pie
pctdists = [0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.3, 0.3]
for t,d in zip(p1, pctdists):
xi,yi = t.get_position()
ri = np.sqrt(xi**2+yi**2)
phi = np.arctan2(yi,xi)
x = d*ri*np.cos(phi)
y = d*ri*np.sin(phi)
t.set_position((x,y))
ax1.set_title('Under Current Law')
ax1.legend(df1.index, fontsize='small',bbox_to_anchor=(1.1, 1.0))
labels2 = []
for i in range(len(df1['pct2'])):
if df1['pct2'][i]<0.05:
labels2=labels2+['']
else:
labels2=labels2+[df1.index[i]]
w2,l2,p2 = ax2.pie(df1.pct2,labels=labels2,autopct = '%1.1f%%', startangle=90, pctdistance=1) #plot first pie
for t,d in zip(p2, pctdists):
xi,yi = t.get_position()
ri = np.sqrt(xi**2+yi**2)
phi = np.arctan2(yi,xi)
x = d*ri*np.cos(phi)
y = d*ri*np.sin(phi)
t.set_position((x,y))
ax2.set_title('Under Reform')
fig.suptitle('{} Contribution to Tax Revenue by Income Groups in '.format(tax_type.upper())+str(start_year))
pic_filename1 = "tax_contribution.png"
plt.savefig(pic_filename1)
self.image = ImageTk.PhotoImage(Image.open("tax_contribution.png"))
self.pic = tk.Label(self.TAB6,image=self.image)
self.pic.place(relx = 0.4, rely = 0.1, anchor = "nw")
self.pic.image = self.image
elif (selected_chart==tax_type+'_etr'):
df = pd.read_csv(selected_chart+'.csv', index_col=0)
df = df[:-1]
df=df.fillna(0)
df.replace([np.inf, -np.inf], 0, inplace=True)
df['ETR'] = np.where(df['ETR']>1, 1, df['ETR'])
df['ETR_ref'] = np.where(df['ETR_ref']>1, 1, df['ETR_ref'])
df['ETR'] = np.where(df['ETR']<0, 0, df['ETR'])
df['ETR_ref'] = np.where(df['ETR_ref']<0, 0, df['ETR_ref'])
maxy = max(df['ETR'].max(), df['ETR_ref'].max())
miny = min(df['ETR'].min(), df['ETR_ref'].min())
d = (maxy - miny)/10
df = df.reset_index()
fig, ax = plt.subplots(figsize=(10, 8))
ax=df.plot(kind="line", x='index', y=['ETR', 'ETR_ref'], color=["r", "b"], label=["ETR "+str(start_year), "ETR Under Reform "+str(start_year)])
ax.set_ylim([miny - d, maxy + d])
#col = ['r', 'b', 'y', 'c', 'm', 'k', 'g', 'r', 'b', 'y']
#ax.set_xlabel('Percentile')
ax.set_xticks(np.arange(0, 101, 10))
ax.set_xticklabels(list(df.index[::10])+[100])
ax.set_title('Effective Tax Rates (ETR) by Percentile')
ax.set_xlabel("Gross Taxable Income Percentile")
if tax_type == 'pit':
kakwani_text0 = str(start_year)+' Pre Tax Gini : '+ str(round(kakwani_list[0],3))
kakwani_text1 = str(start_year)+' Kakwani Index (Current Law): '+ str(round(kakwani_list[1],3))
kakwani_text2 = str(start_year)+' Kakwani Index (Reform) : '+ str(round(kakwani_list[2],3))
else:
kakwani_text0 = 'na'
kakwani_text1 = 'na'
kakwani_text2 = 'na'
ax.text(5, miny+5.5*d, kakwani_text0, fontsize = 8)
ax.text(5, miny+5*d, kakwani_text1, fontsize = 8)
ax.text(5, miny+4.5*d, kakwani_text2, fontsize = 8)
# ax.text(7, 9*(maxy/10), kakwani_text0, fontsize = 8)
# ax.text(7, 8.5*(maxy/10), kakwani_text1, fontsize = 8)
# ax.text(7, 8*(maxy/10), kakwani_text2, fontsize = 8)
pic_filename1 = "etr.png"
plt.savefig(pic_filename1)
self.image = ImageTk.PhotoImage(Image.open("etr.png"))
self.pic = tk.Label(self.TAB6,image=self.image)
self.pic.place(relx = 0.4, rely = 0.1, anchor = "nw")
self.pic.image = self.image
def get_attribute_selection(self, event):
selected_chart = self.chart_selection.get()
tax_type = selected_chart[:3]
f = open('global_vars.json')
global_vars = json.load(f)
self.image = ImageTk.PhotoImage(Image.open("blank.png"))
self.pic = tk.Label(self.TAB6,image=self.image)
self.pic.place(relx = 0.20, rely = 0.1, anchor = "nw")
self.pic.image = self.image
if global_vars['charts_ready']:
df = pd.read_csv(tax_type+'_revenue_projection.csv', index_col=0)
df = df.T
#print('df columns ', df.columns)
cols = df.columns[df.columns.str.startswith('current_law')]
#print('self.attribute_cols ', self.attribute_columns)
attribute_name=self.attribute_columns[0]
attribute_types = [i[12:].title() for i in cols]
l2_TAB6=tk.Label(self.TAB6, text="Select "+attribute_name+" : ", font = self.fontStyle)
l2_TAB6.place(relx = self.combo_2_TAB6_x,
rely = self.combo_2_TAB6_y, anchor = "e")
self.attribute_selection = tk.StringVar()
self.attributes_combo = ttk.Combobox(self.TAB6, textvariable=self.attribute_selection,
value=attribute_types, font=self.text_font)
self.attributes_combo.place(relx = self.combo_2_TAB6_x,
rely = self.combo_2_TAB6_y, anchor = "w", width=150)
self.attributes_combo.bind("<<ComboboxSelected>>", lambda event: self.display_chart(event, selected_chart, global_vars))
# self.img1 = Image.open(pic_filename1)
# self.img2 = self.img1.resize((500, 500), Image.ANTIALIAS)
# self.img3 = ImageTk.PhotoImage(self.img2)
# self.pic.configure(image=self.img3)
# self.pic.image = self.img3