How to make a density heatmap using plotly?
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# How to make a density heatmap using plotly?

This recipe helps you make a density heatmap using plotly

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## Recipe Objective

Make a density heatmap using plotly.

Density heatmap it is computed by grouping a set of points specified by their x and y coordinates into bins, and applying an aggregation function such as count or sum if z is provided to compute the color of the tile representing the bin. This kind of visualization is often used to manage over-plotting, or situations where showing large data sets as scatter plots would result in points overlapping each other and hiding patterns.

## Step 1 - Import libraries

`import plotly.express as px ` `import seaborn as sns `

## Step 2 - load dataset

`Sample_data = sns.load_dataset("tips")` `Sample_data.head()`

## Step 3 - Plot graph

```fig = px.density_heatmap(Sample_data, x="total_bill", y="tip", nbinsx=30, nbinsy=30, color_continuous_scale="Viridis")``` `fig.show()`

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