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| import solara | |
| import seaborn as sns | |
| import plotly.express as px | |
| from utils import selected_template | |
| def DensityHeatmap(): | |
| with solara.Column(gap="20px", align = "stretch") as main: | |
| solara.Markdown(f"#Density Heatmap") | |
| # Create a heatmap using Seaborn data | |
| flights = sns.load_dataset("flights") | |
| flights | |
| # You can set bins with nbinsx and nbinsy | |
| fig1 = px.density_heatmap(flights, x='year', y='month', z='passengers', | |
| color_continuous_scale="Viridis", | |
| template=selected_template.value) | |
| solara.Markdown(f"####Create a heatmap using Seaborn data") | |
| solara.Markdown(""" | |
| ```python | |
| # Create a heatmap using Seaborn data | |
| flights = sns.load_dataset("flights") | |
| flights | |
| # You can set bins with nbinsx and nbinsy | |
| fig1 = px.density_heatmap(flights, x='year', y='month', z='passengers', | |
| color_continuous_scale="Viridis") | |
| ``` | |
| """ | |
| ) | |
| solara.FigurePlotly(fig1) | |
| # You can add histograms | |
| fig2 = px.density_heatmap(flights, x='year', y='month', z='passengers', | |
| marginal_x="histogram", marginal_y="histogram", | |
| template=selected_template.value) | |
| solara.Markdown(f"####Add histograms") | |
| solara.Markdown(""" | |
| ```python | |
| # You can add histograms | |
| fig2 = px.density_heatmap(flights, x='year', y='month', z='passengers', | |
| marginal_x="histogram", marginal_y="histogram") | |
| ``` | |
| """ | |
| ) | |
| solara.FigurePlotly(fig2) | |
| return main | |