The parameter show on method Map.addLayer is not working

[sam125]

Hello.

I believe that the parameter show (True and False) is not working as intended.
When I passe the parameter False the layer doesn't show which is normal but when I try to activate doesn't show to.

Thank you very much

[giswqs]

Please provide the following information:

• environment: Colab or local Jupyter?
• Python version:
• geemap version:
• Sample code to reproduce the issue

[sam125]

Dear Qiusheng Wu, environment: Jupyter Python version: 3.8.8 geemap version: 0.8.12 Send you the sample code in attachment. Best regards, Samuel Fernandes Em 24 de março de 2021 às 2:34, Qiusheng Wu ***@***.***> escreveu: Please provide the following information: environment: Colab or local Jupyter? Python version: geemap version: Sample code to reproduce the issue — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

[giswqs]

Please paste your code directly on GitHub. Email attachments don't show up on GitHub.

[sam125]

import geemap
import ee
import codecs
import os
from openpyxl import load_workbook
#jupyter nbextension enable ipyleaflet --py --sys-prefix
#ee.Authenticate()
ee.Initialize()
startDate='2021-03-14'
endDate='2021-03-16'
sentinel2 = ee.ImageCollection("COPERNICUS/S2");
X=-7.5
Y=38.8

image= sentinel2.filterBounds(ee.Geometry.Point([X, Y])).filterDate(startDate, endDate).sort('CLOUDY_PIXEL_PERCENTAGE', True).first()

Map = geemap.Map(layer_ctrl=True, center=[Y, X], zoom= 10)

ndvi=image.normalizedDifference(['B4', 'B8'])

ndviPalette = ['red', 'yellow', 'green', 'blue']
trueColor_palette = {'bands': ['B4', 'B3', 'B2'], 'min': 0, 'max': 3000}

Map.addLayer(image, trueColor_palette, 'True Color');
Map.addLayer(ndvi, {'min': -1, 'max': 0.5, 'palette': ndviPalette}, 'NDVI', False)
Map.addLayerControl()
Map.setControlVisibility(layerControl=True, fullscreenControl=True, latLngPopup=True)
Map

[giswqs]

Do NOT use ipyleaflet's built-in LayersControl. It has limitations. See jupyter-widgets/ipyleaflet#452. And that's the reason why I developed a new layer control for geemap. Try the revised code below. It should work as expected.

import ee
import geemap

X=-7.5
Y=38.8
Map = geemap.Map(center=[Y, X], zoom= 10)

startDate='2021-03-14'
endDate='2021-03-16'
sentinel2 = ee.ImageCollection("COPERNICUS/S2");

image= sentinel2.filterBounds(ee.Geometry.Point([X, Y])).filterDate(startDate, endDate).sort('CLOUDY_PIXEL_PERCENTAGE', True).first()

ndvi=image.normalizedDifference(['B4', 'B8'])

ndviPalette = ['red', 'yellow', 'green', 'blue']
trueColor_palette = {'bands': ['B4', 'B3', 'B2'], 'min': 0, 'max': 3000}

Map.addLayer(image, trueColor_palette, 'True Color');
Map.addLayer(ndvi, {'min': -1, 'max': 0.5, 'palette': ndviPalette}, 'NDVI', False)
Map

layer_control.mp4

[sam125]

Thank you very much.

It is possible to save the control when use the methode Map.to_html?

[giswqs]

No. The exported html will only show ipyleaflet's built-in layer control. Do NOT set the shown parameter to False if you want to use ipyleaflet's built-in layer control. Otherwise, the layer control won't be able to toggle the layer on even when the layer checkbox is checked.