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).
I often have datasets where I would like to visualize the number of occurrences of my
zcolvariable ("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).