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[PYBD] Adèle PLUQUET & Adrien ANTON LUDWIG - Compute figure in get_data and save as pickle #119

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[PYBD] Adèle PLUQUET & Adrien ANTON LUDWIG - Compute figure in get_data and save as pickle #119

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67 changes: 5 additions & 62 deletions APAAL_criminalite_education/criminalite_education.py
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Original file line number Diff line number Diff line change
@@ -1,78 +1,21 @@
import dash
import json
from dash import dcc
from dash import html
import pandas as pd
import numpy as np
import plotly.express as px
import plotly.graph_objs as go
from scipy import stats
import pickle


class Criminalite_Education:
def __init__(self, application=None):

# Education

education_df = pd.read_csv("APAAL_criminalite_education/data/education.csv")
suspension_ward = education_df.groupby("ward", as_index=False).mean()

wards = json.load(open("APAAL_criminalite_education/data/wards.geojson"))

fig_education = go.Figure(
px.choropleth_mapbox(
suspension_ward,
geojson=wards,
locations="ward",
featureidkey="properties.ward",
color="suspension",
color_continuous_scale=["green", "yellow", "red"],
mapbox_style="carto-positron",
zoom=9,
center={
"lat": 41.8375,
"lon": -87.7340,
}, # Chicago : 41° 52′ 55″ N, 87° 34′ 40″ O
opacity=0.5,
labels={"suspension": "Student average suspension (%)"},
)
)

fig_education.update_layout(margin={"r": 0, "t": 0, "l": 0, "b": 0})
with open('APAAL_criminalite_education/data/fig_education.pickle', 'rb') as handle:
fig_education = pickle.load(handle)

# Crimes

crimes_csv = "APAAL_criminalite_education/data/reductedDB_2015-2017.csv"
crimes_df = pd.read_csv(crimes_csv, parse_dates=[0])

ward_count = crimes_df.drop(
crimes_df.columns.difference(["Ward", "IUCR"]), axis=1
)
ward_count = ward_count.groupby(by="Ward", as_index=False).count()
ward_count = ward_count.rename(columns={"IUCR": "Nb of crimes"})

fig_crimes = go.Figure(
px.choropleth_mapbox(
ward_count,
geojson=wards,
locations="Ward",
featureidkey="properties.ward",
color="Nb of crimes",
color_continuous_scale=["green", "yellow", "red"],
mapbox_style="carto-positron",
zoom=9,
center={
"lat": 41.8375,
"lon": -87.7340,
}, # Chicago : 41° 52′ 55″ N, 87° 34′ 40″ O
opacity=0.5,
labels={
"Crimes": "Crime repartition between Chicago wards between 2015 and 2017"
},
)
)

fig_crimes.update_layout(margin={"r": 0, "t": 0, "l": 0, "b": 0})
with open('APAAL_criminalite_education/data/fig_crimes.pickle', 'rb') as handle:
fig_crimes = pickle.load(handle)

self.main_layout = html.Div(
children=[
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