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Author: Coding-with-Adam

video1_dash.py

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+from dash import Dash, html, dcc       # pip install dash
+import dash_mantine_components as dmc  # pip install dash-mantine-components
+import pandas as pd                    # pip install pandas
+import plotly.express as px
+
+style = {
+    "border": f"1px solid {dmc.theme.DEFAULT_COLORS['indigo'][4]}",
+    "textAlign": "center",
+}
+
+df = pd.read_excel("https://github.com/plotly/datasets/blob/master/supermarket_sales.xlsx?raw=true", sheet_name='January')
+
+# To see all months in one data set:
+# list_of_dfs = [pd.read_excel("https://github.com/plotly/datasets/blob/master/supermarket_sales.xlsx?raw=true", sheet_name=x) for x in ['January', 'February', 'March']]
+# df = pd.concat([x for x in list_of_dfs])
+# df['Month'] = df['Date'].dt.month
+
+fig1 = px.histogram(df, x='City', y='Total', color='Payment', histfunc='avg', barmode='group')#, facet_col='Month')
+fig2 = px.box(df, x='City', y='Unit price', color='City')#, facet_col='Month')
+fig3 = px.density_heatmap(df, x='Unit price', y='Rating')#, facet_col='Month')
+fig4 = px.strip(df, x="gross income", y="Product line")#, color='Month')
+
+app = Dash(__name__)
+server = app.server
+
+app.layout=dmc.Container([
+    html.H1("Python App from Excel"),
+    dmc.Grid([
+        dmc.Col(dcc.Graph(figure=fig1, style=style), span=6),
+        dmc.Col(dcc.Graph(figure=fig2, style=style), span=6),
+        dmc.Col(dcc.Graph(figure=fig3, style=style), span=6),
+        dmc.Col(dcc.Graph(figure=fig4, style=style), span=6),
+    ], gutter="sm")
+
+], fluid=True)
+
+
+if __name__=='__main__':
+    app.run_server(debug=True)