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Add density heatmap #22

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jnumainville opened this issue May 11, 2023 · 1 comment · Fixed by #598
Closed
1 task done

Add density heatmap #22

jnumainville opened this issue May 11, 2023 · 1 comment · Fixed by #598
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enhancement New feature or request plotly-express Involves plotly-express plugin Python Involves Python side of a plugin

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jnumainville commented May 11, 2023 •
edited by mofojed
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Add capability to generate a density heatmap chart

This will need to be done in engine, similar to histogram. Perhaps imshow can be used as the backend, like bar is used as the histogram backend.
@jnumainville jnumainville added the enhancement New feature or request label May 11, 2023
@jnumainville jnumainville transferred this issue from deephaven/deephaven-plugin-plotly-express Sep 11, 2023
@jnumainville jnumainville added Python Involves Python side of a plugin plotly-express Involves plotly-express plugin labels Sep 11, 2023
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jnumainville commented Jun 17, 2024 •
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We would need arrays to do this in imshow, but I believe we can do this with heatmap

import plotly.graph_objects as go

fig = go.Figure(data=go.Heatmap(
                    z=[1, 20, 30, 20, 1, 6, 30, 60, 1],
                    x=[0,1,2,0,1,2,0,1,2],
                    y=[0,0,0,1,1,1,2,2,2],
))

@jnumainville jnumainville mentioned this issue Jul 3, 2024
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mofojed pushed a commit that referenced this issue Jul 16, 2024
@jnumainville
feat: density heatmap (#598)
8fb924d 
Fixes #22 
This doesn't add every argument, but does add the core ones and trivial
ones

Here is a good example of the basic ways this can be used, either with
`x`, `y`, and `histfunc="count"`, or `x`, `y`, `z`, and any `histfunc`,
as well as other arguments to control the binning as, like `histogram`,
how someone chooses to bin has a large impact on the visualization

```
import deephaven.plot.express as dx
from deephaven import new_table, agg

from deephaven import time_table

result = time_table(period="PT1S").update(["X = randomGaussian(10, 3)", "Y = randomGaussian(10, 3)", "Z = randomGaussian(10, 3)"])

density_heatmap = dx.density_heatmap(result, "X", "Y", title="Test", range_bins_x=[0, 20], range_bins_y=[0, 20], nbinsx=20, nbinsy=20)
density_heatmap_z = dx.density_heatmap(result, "X", "Y", "Z", title="Test", histfunc="std", range_bins_x=[0, 20], range_bins_y=[0, 20], nbinsx=5, nbinsy=5)
```
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feat: density heatmap jnumainville/deephaven-plugins
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