Prepare the plotly figure for weather data

Prepare the plotly figure for weather data

Usage

plot_weather(meteo_lst, par, period = "day", fn_summarize = "mean")

Arguments

meteo_lst

nested list of lists with dataframes. Nested structure meteo_lst -> data -> Station ID -> Parameter -> Dataframe (DATE, PARAMETER).

par

character marking weather variable to extract (i.e. "PCP", "SLR", etc).

period

character describing, which time interval to display (default is "day", other examples are "week", "month", etc).

fn_summarize

function to recalculate to time interval (default is "mean", other examples are "median", "sum", etc).

Value

plotly figure object with displayed weather data

Examples

temp_path <- system.file("extdata", "weather_data.xlsx", package = "svatools")
met_lst <- load_template(temp_path, 4326)
#> [1] "Loading data from template."
#> [1] "Reading station ID9 data."
#> [1] "Reading station ID3 data."
#> [1] "Reading station ID10 data."
#> [1] "Reading station ID11 data."
#> [1] "Reading station ID12 data."
#> [1] "Reading station ID13 data."
#> [1] "Reading station ID1 data."
#> [1] "Reading station ID8 data."
#> [1] "Reading station ID2 data."
#> [1] "Reading station ID4 data."
#> [1] "Reading station ID5 data."
#> [1] "Reading station ID6 data."
#> [1] "Reading station ID7 data."
#> [1] "Reading station ID14 data."
#> [1] "Loading of data is finished."
plot_weather(met_lst, "PCP", "month", "sum")
#> Warning: n too large, allowed maximum for palette Set2 is 8
#> Returning the palette you asked for with that many colors
#> Warning: n too large, allowed maximum for palette Set2 is 8
#> Returning the palette you asked for with that many colors