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I often have datasets where I would like to visualize the number of occurrences of my zcol variable ("name" in this example), e.g.
Geometry
name
(1, 1)
"a"
(1, 2)
"b"
(1, 3)
"c"
(1, 4)
"d"
(1, 3)
"c"
(1, 1)
"a"
and what I want displayed by mapview is really the summarized dataframe:
Geometry
name
count
(1, 1)
"a"
2
(1, 2)
"b"
1
(1, 3)
"c"
2
(1, 4)
"d"
1
where the new "count" column is the one visualized on a scale with zcol. However, it should still display the "name" column when I mouse over the data points for ease of identification.
I could accomplish something close to this by using mapview(df |> dplyr::count(name), zcol = "n", label = "name"), but it might be more intuitive if it could be implemented as a one-step function within the mapview call, perhaps something like mapview(df, zcol = "name", count = TRUE).
The text was updated successfully, but these errors were encountered:
I don't think that fits the scope of mapview. You'd need to create that count object/dataframe yourself before mapviewing it. Otherwise, where will this end? We could also have a e.g. frequency argument and so on... Or am I misunderstanding your request?
I often have datasets where I would like to visualize the number of occurrences of my
zcol
variable ("name" in this example), e.g.and what I want displayed by mapview is really the summarized dataframe:
where the new "count" column is the one visualized on a scale with
zcol
. However, it should still display the "name" column when I mouse over the data points for ease of identification.I could accomplish something close to this by using
mapview(df |> dplyr::count(name), zcol = "n", label = "name")
, but it might be more intuitive if it could be implemented as a one-step function within the mapview call, perhaps something likemapview(df, zcol = "name", count = TRUE)
.The text was updated successfully, but these errors were encountered: