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import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import numpy as np
from dash.dependencies import Output, Input
data = pd.read_csv("avocado.csv")
data["Date"] = pd.to_datetime(data["Date"], format="%Y-%m-%d")
data.sort_values("Date", inplace=True)
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
data = pd.read_csv("avocado.csv")
data = data.query("type == 'conventional' and region == 'Albany'")
data["Date"] = pd.to_datetime(data["Date"], format="%Y-%m-%d")
data.sort_values("Date", inplace=True)
external_stylesheets = [
{
html.Div(
children=[
html.Div(
children=dcc.Graph(
id="price-chart",
config={"displayModeBar": False},
figure={
"data": [
{
"x": data["Date"],
.header-description {
color: #CFCFCF;
margin: 4px auto;
text-align: center;
max-width: 384px;
}
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"
external_stylesheets = [
{
"href": "https://fonts.googleapis.com/css2?"
"family=Lato:wght@400;700&display=swap",
"rel": "stylesheet",
},
]
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = "Avocado Analytics: Understand Your Avocados!"
.header-title {
font-size: 48px;
color: red;
}
html.H1(
children="Avocado Analytics",
className="header-title",
),
html.H1(
children="Avocado Analytics",
style={"fontSize": "48px", "color": "red"},
),
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
data = pd.read_csv("avocado.csv")
data = data.query("type == 'conventional' and region == 'Albany'")
data["Date"] = pd.to_datetime(data["Date"], format="%Y-%m-%d")
data.sort_values("Date", inplace=True)