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Jul 11, 2023
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Update projection types section #4275

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16 changes: 5 additions & 11 deletions doc/python/map-configuration.md
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Expand Up @@ -5,10 +5,10 @@ jupyter:
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plotly:
description: How to configure and style base maps for Choropleths and Bubble Maps.
display_as: maps
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### Map Projections

Geo maps are drawn according to a given map [projection](https://en.wikipedia.org/wiki/Map_projection) that flattens the Earth's roughly-spherical surface into a 2-dimensional space.

The available projections are `'equirectangular'`, `'mercator'`, `'orthographic'`, `'natural earth'`, `'kavrayskiy7'`, `'miller'`, `'robinson'`, `'eckert4'`, `'azimuthal equal area'`, `'azimuthal equidistant'`, `'conic equal area'`, `'conic conformal'`, `'conic equidistant'`, `'gnomonic'`, `'stereographic'`, `'mollweide'`, `'hammer'`, `'transverse mercator'`, `'albers usa'`, `'winkel tripel'`, `'aitoff'` and `'sinusoidal'`.
Geo maps are drawn according to a given map [projection](https://en.wikipedia.org/wiki/Map_projection) that flattens the Earth's roughly-spherical surface into a 2-dimensional space. In the following examples, we show the `'orthographic'` and `'natural earth'` projections, two of the many projection types available. For a full list of available projection types, see the [layout.geo reference documentation](https://plotly.com/python/reference/layout/geo/#layout-geo-projection-type).

```python
import plotly.graph_objects as go
Expand Down Expand Up @@ -221,7 +219,3 @@ fig.show()
### Reference

See https://plotly.com/python/reference/layout/geo/ for more information and chart attribute options!

```python

```