app.py

import streamlit as st
import pandas as pd
import plotly.graph_objects as go


PERCENTILES = {
	0.05: 81069,
	0.06: 100000,
	0.07: 116412,
	0.08: 130566,
	0.09: 150000,
	0.1: 157072,
	0.11: 180783,
	0.12: 198996,
	0.13: 200000,
	0.14: 202674,
	0.15: 230835,
	0.16: 248745,
	0.17: 253342,
	0.18: 273619,
	0.19: 288544,
	0.2: 298494,
	0.21: 300000,
	0.22: 301305,
	0.23: 304011,
	0.24: 318393,
	0.25: 321378,
	0.26: 328343,
	0.27: 334412,
	0.28: 337000,
	0.29: 344546,
	0.3: 348242,
	0.31: 350000,
	0.32: 353326,
	0.33: 354679,
	0.34: 368142,
	0.35: 378092,
	0.36: 382040,
	0.37: 395214,
	0.38: 397991,
	0.39: 397991,
	0.4: 400000,
	0.41: 400000,
	0.42: 403321,
	0.43: 405348,
	0.44: 410000,
	0.45: 420548,
	0.46: 435749,
	0.47: 447740,
	0.48: 450000,
	0.49: 452000,
	0.5: 457690,
	0.51: 476284,
	0.52: 486426,
	0.53: 497489,
	0.54: 497489,
	0.55: 500000,
	0.56: 500000,
	0.57: 506685,
	0.58: 506685,
	0.59: 525000,
	0.6: 547219,
	0.61: 552985,
	0.62: 570000,
	0.63: 596987,
	0.64: 596987,
	0.65: 600000,
	0.66: 605000,
	0.67: 610000,
	0.68: 641761,
	0.69: 658690,
	0.7: 690000,
	0.71: 700000,
	0.72: 703428,
	0.73: 726677,
	0.74: 750000,
	0.75: 795983,
	0.76: 800000,
	0.77: 803480,
	0.78: 820829,
	0.79: 861364,
	0.8: 895481,
	0.81: 912032,
	0.82: 972834,
	0.83: 994978,
	0.84: 1004351,
	0.85: 1023503,
	0.86: 1094476,
	0.87: 1193974,
	0.88: 1201000,
	0.89: 1293471,
	0.9: 1388316,
	0.91: 1492468,
	0.92: 1520000,
	0.93: 1600000,
	0.94: 1800000,
	0.95: 1989957,
	0.96: 2067273,
	0.97: 2487446,
	0.98: 2984935,
	0.99: 3979914
}

st.header("Observatorio de sueldos en Chile")

sueldo = st.number_input(
	"Ingrese su sueldo líquido mensual",
	value = 500_000,
	min_value = 100_000,
	format = "%d",
)

DF_CURVA = pd.Series(PERCENTILES)
aux = DF_CURVA[DF_CURVA<sueldo]
if DF_CURVA.iloc[-1] <sueldo:
    percentile_sueldo = 0.99
else:
	percentile_sueldo = int(100*DF_CURVA[DF_CURVA>=sueldo].index[0])
st.write(percentile_sueldo, '% de las personas ocupadas ganan menos que usted.')
fig = go.Figure()
fig.add_trace(go.Scatter(x=list(DF_CURVA.index), y=list(DF_CURVA.values), hovertemplate='Sueldo mensual: %{y:$,.0f}<extra></extra>'))
fig.add_trace(go.Scatter(x=list(aux.index), y=list(aux.values), fill='tozeroy', hovertemplate='<extra></extra>'))
fig.update_layout(
	title = f'{percentile_sueldo} % de las personas ocupadas ganan menos que usted.',
	yaxis_title = 'Sueldos mensuales',
	xaxis = dict(
		tickmode = 'array',
		tickvals = [.1*i for i in range(11)],
		ticktext = [f'{10*i}%' for i in range(11)]
	),
	xaxis_tickformat=',.0%',
	yaxis_tickformat=',.0'.replace(',',','),
	yaxis = dict(
		tickmode = 'array',
		tickvals = [500_000*i for i in range(9)],
		ticktext = [f'${500_000*i:,}'.replace(',','.') for i in range(9)]
	),
	showlegend=False
)
fig.update_layout(
	hovermode="x",
	hoverlabel=dict(
		bgcolor="white",
	)
)
st.plotly_chart(fig, use_container_width=True)