No matter where you data are located on the map, each time a kepler.gl map is visualised, the starting location is by default San Francisco
.
For example:
import pandas as pd
from keplergl import KeplerGl
df = pd.read_csv("<dataset.csv>")
# df contains data in France
map_1 = KeplerGl(height=400, data={"data_1": df}, config=config)
map_1
map_1
will look like:
Which means that you have to manually pan to where the uploaded data are in the map (to France in this case).
Is there a way to change the default starting point to where the data are located?
I found the solution shortly after posting the question: The initial coordinates can be embedded in the config dictionary:
custom_config = {
"version": "v1",
"config": {
"visState": {
"filters": [],
"layers": [],
"interactionConfig": {}
},
"mapState": {
"bearing": -4.928571428571431,
"dragRotate": True,
"latitude": 52.253971373306165,
"longitude": -2.6899063817571394,
"pitch": 49.18440507924836,
"zoom": 6.655984704565685,
"isSplit": False
},
"mapStyle": {
"styleType": "muted_night",
"topLayerGroups": {},
"visibleLayerGroups": {
"label": False,
"road": False,
"border": False,
"building": False,
"water": True,
"land": True
}
}
}
}
map_1 = KeplerGl(
height=800,
config=custom_config
)
map_1
Note that if the config dictionary is defective, then the value will be set to the standard ones with no warnings raised.