[Fix] Problems to add data to maps through python code in kepler-jupyter

[lixun910]

Revert the changes (which is probably added accidentally) in add_data() function from https://github.com/keplergl/kepler.gl/pull/2565/files#diff-9ad9c902c565677c69bdfc9666ed0fbfd12155854bd4339663e09bd475366ca1L143

Update version to 0.3.6

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[rbavery]

thanks for the fix @lixun910. I've tested this PR, geodataframes can be added but now two geodataframes cannot be added to the same map and be visualized. Tested https://github.com/keplergl/kepler.gl/blob/master/bindings/kepler.gl-jupyter/notebooks/GeoDataFrame.ipynb and only one of points_gdf or zipcode_gdf can be added at a time.

[lixun910]

Thanks @rbavery ! In my test, I see only one layer been created from the first dataset. Is it the same on your side?

[rbavery]

hmm you're right actually after a fresh jupyterlab restart I see the issue again on the first run. I'm trying to diagnose what causes me to successfully plot both layers and why on the first run after jupyterlab start this doesn't occur.

[rbavery]

@lixun910 I found the culprit but I'm not sure what is the root cause

There's a cell in that notebook that shows the map before any layers are added. If we show the map before layers are added, only the first added layer is shown even if two datas are added

import keplergl
w1 = keplergl.KeplerGl(height=500)
w1

If instead we only make the map but don't show it before adding a layer, then we can show both layers and after adding the second layer both layers are plotted as expected

import keplergl
w1 = keplergl.KeplerGl(height=500)

so I think somehow the first map instance w1 is interfering with the state of subsequent maps.

[lixun910]

Ah, I see. I think it is by design: one needs to render the map with the new dataset in a new cell after calling add_data(), and the map in previous cell can keep the original state.