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app.py
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app.py
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import pandas as pd
from dash import Dash, Input, Output, dcc, html
data = (
pd.read_csv("avocado.csv")
.assign(Date=lambda data: pd.to_datetime(data["Date"], format="%m/%d/%Y"))
.sort_values(by="Date")
)
regions = data["region"].sort_values().unique()
avocado_types = data["type"].sort_values().unique()
external_stylesheets = [
{
"href": (
"https://fonts.googleapis.com/css2?"
"family=Lato:wght@400;700&display=swap"
),
"rel": "stylesheet",
},
]
app = Dash(__name__, external_stylesheets=external_stylesheets)
app.title = "Avocado Analytics: Understand Your Avocados"
app.layout = html.Div(
children=[
html.Div(
children=[
html.P(children="🥑", className="header-emoji"),
html.H1(
children="Avocado Analytics", className="header-title"
),
html.P(
children=(
"Analyze the behavior of avocado prices and the number"
" of avocados sold in the US between 2015 and 2018"
),
className="header-description",
),
],
className="header",
),
html.Div(
children=[
html.Div(
children=[
html.Div(children="Region", className="menu-title"),
dcc.Dropdown(
id="region-filter",
options=[
{"label": region, "value": region}
for region in regions
],
value="Albany",
clearable=False,
className="dropdown",
),
]
),
html.Div(
children=[
html.Div(children="Type", className="menu-title"),
dcc.Dropdown(
id="type-filter",
options=[
{
"label": avocado_type.title(),
"value": avocado_type,
}
for avocado_type in avocado_types
],
value="organic",
clearable=False,
searchable=False,
className="dropdown",
),
],
),
html.Div(
children=[
html.Div(
children="Date Range", className="menu-title"
),
dcc.DatePickerRange(
id="date-range",
min_date_allowed=data["Date"].min().date(),
max_date_allowed=data["Date"].max().date(),
start_date=data["Date"].min().date(),
end_date=data["Date"].max().date()
),
]
),
],
className="menu",
),
html.Div(
children=[
html.Div(
children=dcc.Graph(
id="price-chart",
config={"displayModeBar": False},
),
className="card",
),
html.Div(
children=dcc.Graph(
id="volume-chart",
config={"displayModeBar": False},
),
className="card",
),
],
className="wrapper",
),
]
)
@app.callback(
Output("price-chart", "figure"),
Output("volume-chart", "figure"),
Input("region-filter", "value"),
Input("type-filter", "value"),
Input("date-range", "start_date"),
Input("date-range", "end_date"),
)
def update_charts(region, avocado_type, start_date, end_date):
filtered_data = data.query(
"region == @region and type == @avocado_type"
" and Date >= @start_date and Date <= @end_date"
)
price_chart_figure = {
"data": [
{
"x": filtered_data["Date"],
"y": filtered_data["AveragePrice"],
"type": "line",
"hovertemplate": "$%{y:.2f}<extra></extra>",
},
],
"layout": {
"title": {
"text": "Average Price of Avocados",
"x": 0.05,
"xanchor": "left",
},
"xaxis": {"fixedrange": True},
"yaxis": {"tickprefix": "$", "fixedrange": True},
"colorway": ["#17B897"],
},
}
volume_chart_figure = {
"data": [
{
"x": filtered_data["Date"],
"y": filtered_data["Total Volume"],
"type": "lines",
},
],
"layout": {
"title": {"text": "Avocados Sold", "x": 0.05, "xanchor": "left"},
"xaxis": {"fixedrange": True},
"yaxis": {"fixedrange": True},
"colorway": ["#E12D39"],
},
}
return price_chart_figure, volume_chart_figure
if __name__ == "__main__":
app.run_server(debug=True)