# Interactive map visualization of CML vector data
> **Warning**
>
> Scroll wheel zoom is disabled in the documentation examples below to
> make page navigation easier. When you create maps yourself, scroll
> wheel zoom will be enabled by default.
``` python
cml, gauges = open_cml_sample(), open_gauge_sample()
```
## Default map
Create a Folium map with multiple basemap options (OpenStreetMap,
OpenTopoMap, Esri World Imagery), layer controls, fullscreen toggle,
geocoder search, and measurement tools that will be used as a default
for exploration.
------------------------------------------------------------------------
### setup_default_map
``` python
def setup_default_map(
m:Map=None, # Optional folium map to be setup with basemaps and controls
show:Literal='Esri.WorldGrayCanvas', # Basemap to show by default.
)->Map:
```
*Create a default folium map with common basemaps, layers and controls.*
``` python
m = setup_default_map()
```
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Code
``` python
m.options['scrollWheelZoom'] = False
m
```
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Code
``` python
m.options['scrollWheelZoom'] = False
m
```
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Code
``` python
m.options['scrollWheelZoom'] = False
m
```
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Code
``` python
m.options['scrollWheelZoom'] = False
m
```
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Code
``` python
m.options['scrollWheelZoom'] = False
m
```
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> **Tip**
>
> If you are showing variables such as attenuation that will depend on
> several factors such as baseline, length, … remember to normalize the
> values. This step is not necessary when showing the rainfall.
For the sake of this example, we will normalise the variable based on
data from two consecutive days. To avoid potential issues due to
outliers, we will use quantiles 0.1 and 0.9.
``` python
cml = cml.sel(time=slice("2019-07-17T00:00", "2019-07-19T00:00"))
att = cml["tsl_max"] - cml["rsl_min"]
att.name = "att"
q = att.quantile([0.1, 0.9], dim="time")
att = (att - q.sel(quantile=0.1, drop=True)) / (q.sel(quantile=0.9, drop=True) - q.sel(quantile=0.1, drop=True))
```
/opt/hostedtoolcache/Python/3.12.13/x64/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1593: RuntimeWarning: All-NaN slice encountered
return fnb._ureduce(a,
> **Warning**
>
> Given the current state of development, we recommend plotting a
> maximum of one day of data at 15-minute intervals (approximately 96
> timesteps). You can use the [Romulo
> plot](https://rainsmore.github.io/raincell/plot.romulo.html) to
> identify the periods of interest. Please remember to toggle the
> visibility of the metadata before playing to achieve a more fluid
> animation.
In this case, to avoid performance issues, we will only show few hours
of data.
``` python
m = explore_data(att.sel(time=slice("2019-07-17T18:00", "2019-07-18T03:00")), vmin=0, vmax=1)
```
Code
``` python
m.options['scrollWheelZoom'] = False
m
```
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``` python
m.options['scrollWheelZoom'] = False
m
```
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``` python
lm.options['scrollWheelZoom'] = False
rm.options['scrollWheelZoom'] = False
m
```
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