Alt wx API I'm considering wrapping as an alternative — https://www.visualcrossing.com/resources/documentation/weather-api/how-to-replace-the-dark-sky-api/
darksky
: Tools to Work with the Dark Sky API
The following functions are implemented:
darksky_api_key
: Get or set DARKSKY_API_KEY
valueget_current_forecast
: Retrieve the current forecast (for the next
week)get_forecast_for
: Retrieve weather data for a specific place/timeplot.darksky
: Plot method for darksky
objectsprint.darksky
: A tad more human readable default printingdevtools::install_github("hrbrmstr/darksky")
OR
devtools::install.packages("darksky")
library(darksky)
library(tidyverse)
# current verison
packageVersion("darksky")
## [1] '1.3.0'
now <- get_current_forecast(43.2672, -70.8617)
print(now)
## minutely
## ========================================================================================================================
## 'data.frame': 61 obs. of 3 variables:
## $ time : POSIXct, format: "2018-05-29 15:54:00" "2018-05-29 15:55:00" "2018-05-29 15:56:00" "2018-05-29 15:57:00" ...
## $ precipIntensity : int 0 0 0 0 0 0 0 0 0 0 ...
## $ precipProbability: int 0 0 0 0 0 0 0 0 0 0 ...
## NULL
##
## hourly
## ========================================================================================================================
## 'data.frame': 49 obs. of 18 variables:
## $ time : POSIXct, format: "2018-05-29 15:00:00" "2018-05-29 16:00:00" "2018-05-29 17:00:00" "2018-05-29 18:00:00" ...
## $ summary : chr "Clear" "Clear" "Clear" "Clear" ...
## $ icon : chr "clear-day" "clear-day" "clear-day" "clear-day" ...
## $ precipIntensity : num 0 0 0.001 0.0018 0 0.0013 0.0012 0 0.0004 0 ...
## $ precipProbability : num 0 0 0.01 0.02 0 0.03 0.03 0 0.02 0 ...
## $ temperature : num 83.5 83.2 82.1 79.4 75.7 ...
## $ apparentTemperature: num 83.5 83.2 82.1 79.4 75.7 ...
## $ dewPoint : num 55.9 56.8 57 58.5 60.4 ...
## $ humidity : num 0.39 0.41 0.42 0.49 0.59 0.72 0.79 0.79 0.75 0.75 ...
## $ pressure : num 1014 1014 1014 1015 1016 ...
## $ windSpeed : num 0.35 2.73 2.42 2.1 2.15 2.32 2.79 3.05 3.84 4.21 ...
## $ windGust : num 7.3 6.84 5.68 5.74 5.81 ...
## $ windBearing : int 140 136 132 121 131 150 82 65 53 55 ...
## $ cloudCover : num 0.03 0.01 0.03 0.03 0.04 0.04 0.07 0.1 0.12 0.15 ...
## $ uvIndex : int 5 3 2 1 0 0 0 0 0 0 ...
## $ visibility : num 8.96 7.3 10 10 10 10 10 10 10 10 ...
## $ ozone : num 343 343 343 342 342 ...
## $ precipType : chr NA NA "rain" "rain" ...
## NULL
##
## daily
## ========================================================================================================================
## 'data.frame': 8 obs. of 39 variables:
## $ time : POSIXct, format: "2018-05-29" "2018-05-30" "2018-05-31" "2018-06-01" ...
## $ summary : chr "Mostly cloudy in the morning." "Partly cloudy throughout the day." "Foggy overnight." "Foggy in the morning." ...
## $ icon : chr "partly-cloudy-day" "partly-cloudy-day" "fog" "fog" ...
## $ sunriseTime : POSIXct, format: "2018-05-29 05:09:10" "2018-05-30 05:08:36" "2018-05-31 05:08:03" "2018-06-01 05:07:33" ...
## $ sunsetTime : POSIXct, format: "2018-05-29 20:15:37" "2018-05-30 20:16:28" "2018-05-31 20:17:18" "2018-06-01 20:18:07" ...
## $ moonPhase : num 0.51 0.54 0.57 0.6 0.63 0.66 0.69 0.72
## $ precipIntensity : num 0.0003 0.0003 0.0004 0.0041 0.0067 0.0258 0.0006 0.0131
## $ precipIntensityMax : num 0.0018 0.0014 0.003 0.0101 0.0199 0.0608 0.0046 0.0285
## $ precipIntensityMaxTime : POSIXct, format: "2018-05-29 18:00:00" "2018-05-30 01:00:00" "2018-05-31 20:00:00" "2018-06-01 15:00:00" ...
## $ precipProbability : num 0.14 0.12 0.13 0.35 0.49 0.71 0.21 0.49
## $ precipType : chr "rain" "rain" "rain" "rain" ...
## $ temperatureHigh : num 83.5 69.5 72.6 75.4 66 ...
## $ temperatureHighTime : int 1527620400 1527703200 1527793200 1527886800 1527966000 1528056000 1528135200 1528214400
## $ temperatureLow : num 52.9 48.1 59.8 60.2 48.8 ...
## $ temperatureLowTime : int 1527670800 1527757200 1527840000 1527940800 1528016400 1528102800 1528185600 1528272000
## $ apparentTemperatureHigh : num 83.5 69.5 72.6 76.4 66 ...
## $ apparentTemperatureHighTime: int 1527620400 1527703200 1527793200 1527886800 1527966000 1528056000 1528135200 1528214400
## $ apparentTemperatureLow : num 52.9 46.8 60.1 60.2 45.9 ...
## $ apparentTemperatureLowTime : int 1527670800 1527757200 1527840000 1527940800 1528016400 1528102800 1528185600 1528272000
## $ dewPoint : num 57 47.1 52.2 65 58.1 ...
## $ humidity : num 0.72 0.63 0.76 0.94 0.87 0.8 0.73 0.7
## $ pressure : num 1014 1023 1017 1007 1007 ...
## $ windSpeed : num 0.6 4.31 5.86 4.39 5.47 7.34 3.67 7.29
## $ windGust : num 11.3 17.1 16.9 13.6 28.4 ...
## $ windGustTime : int 1527649200 1527674400 1527782400 1527829200 1527933600 1528005600 1528138800 1528239600
## $ windBearing : int 259 105 181 172 59 62 0 346
## $ cloudCover : num 0.25 0.48 0.73 0.81 1 0.38 0.85 1
## $ uvIndex : int 8 6 7 6 5 8 6 6
## $ uvIndexTime : int 1527609600 1527696000 1527782400 1527868800 1527955200 1528041600 1528131600 1528218000
## $ visibility : num 9.52 10 9.42 10 NA NA NA NA
## $ ozone : num 342 327 316 311 312 ...
## $ temperatureMin : num 52.2 51.7 48.1 59.8 56.1 ...
## $ temperatureMinTime : POSIXct, format: "2018-05-29 03:00:00" "2018-05-30 23:00:00" "2018-05-31 05:00:00" "2018-06-01 04:00:00" ...
## $ temperatureMax : num 83.5 69.5 72.6 75.4 66.9 ...
## $ temperatureMaxTime : POSIXct, format: "2018-05-29 15:00:00" "2018-05-30 14:00:00" "2018-05-31 15:00:00" "2018-06-01 17:00:00" ...
## $ apparentTemperatureMin : num 52.2 51.7 46.8 60.1 56.1 ...
## $ apparentTemperatureMinTime : POSIXct, format: "2018-05-29 03:00:00" "2018-05-30 23:00:00" "2018-05-31 05:00:00" "2018-06-01 04:00:00" ...
## $ apparentTemperatureMax : num 83.5 69.5 72.6 76.4 67.8 ...
## $ apparentTemperatureMaxTime : POSIXct, format: "2018-05-29 15:00:00" "2018-05-30 14:00:00" "2018-05-31 15:00:00" "2018-06-01 17:00:00" ...
## NULL
##
## currently
## ========================================================================================================================
## 'data.frame': 1 obs. of 19 variables:
## $ time : POSIXct, format: "2018-05-29 15:54:44"
## $ summary : chr "Clear"
## $ icon : chr "clear-day"
## $ nearestStormDistance: int 119
## $ nearestStormBearing : int 234
## $ precipIntensity : int 0
## $ precipProbability : int 0
## $ temperature : num 83.2
## $ apparentTemperature : num 83.2
## $ dewPoint : num 56.8
## $ humidity : num 0.41
## $ pressure : num 1014
## $ windSpeed : num 2.52
## $ windGust : num 6.88
## $ windBearing : int 137
## $ cloudCover : num 0.02
## $ uvIndex : int 3
## $ visibility : num 7.44
## $ ozone : num 343
## NULL
Historical (using Date
objects):
seq(Sys.Date()-10, Sys.Date(), "1 day") %>%
map(~get_forecast_for(43.2672, -70.8617, .x)) %>%
map_df("hourly") %>%
ggplot(aes(x=time, y=temperature)) +
geom_line()
then <- get_forecast_for(43.2672, -70.8617, "2013-05-06T12:00:00-0400", add_headers=TRUE)
print(then)
## hourly
## ========================================================================================================================
## 'data.frame': 24 obs. of 14 variables:
## $ time : POSIXct, format: "2013-05-06 00:00:00" "2013-05-06 01:00:00" "2013-05-06 02:00:00" "2013-05-06 03:00:00" ...
## $ summary : chr "Clear" "Clear" "Clear" "Clear" ...
## $ icon : chr "clear-night" "clear-night" "clear-night" "clear-night" ...
## $ precipIntensity : int 0 0 0 0 0 0 0 0 0 0 ...
## $ precipProbability : int 0 0 0 0 0 0 0 0 0 0 ...
## $ temperature : num 40.3 38.8 37.6 36.1 34.4 ...
## $ apparentTemperature: num 38.4 38.8 37.6 36.1 34.4 ...
## $ dewPoint : num 36.5 35.6 35.2 34.2 32.7 ...
## $ humidity : num 0.86 0.88 0.91 0.92 0.93 0.95 0.94 0.92 0.85 0.81 ...
## $ pressure : num 1025 1025 1024 1024 1024 ...
## $ windSpeed : num 3.28 2.31 2.36 1.19 2.2 2.86 1.95 2.16 4.16 5.3 ...
## $ windBearing : int 197 186 193 250 285 247 301 233 197 172 ...
## $ cloudCover : num 0 0 0 0 0 0.02 0.03 0.2 0.23 0.02 ...
## $ visibility : num 9.36 8.18 8.49 7.98 6.89 6.71 6.08 7.56 7.89 9.28 ...
## NULL
##
## daily
## ========================================================================================================================
## 'data.frame': 1 obs. of 32 variables:
## $ time : POSIXct, format: "2013-05-06"
## $ summary : chr "Foggy overnight."
## $ icon : chr "fog"
## $ sunriseTime : POSIXct, format: "2013-05-06 05:30:40"
## $ sunsetTime : POSIXct, format: "2013-05-06 19:51:57"
## $ moonPhase : num 0.9
## $ precipIntensity : int 0
## $ precipIntensityMax : int 0
## $ precipProbability : int 0
## $ temperatureHigh : num 60.3
## $ temperatureHighTime : int 1367863200
## $ temperatureLow : num 43.4
## $ temperatureLowTime : int 1367920800
## $ apparentTemperatureHigh : num 60.3
## $ apparentTemperatureHighTime: int 1367863200
## $ apparentTemperatureLow : num 43.2
## $ apparentTemperatureLowTime : int 1367899200
## $ dewPoint : num 40.2
## $ humidity : num 0.78
## $ pressure : num 1023
## $ windSpeed : num 4.01
## $ windBearing : int 161
## $ cloudCover : num 0.05
## $ visibility : num 7.8
## $ temperatureMin : num 34.3
## $ temperatureMinTime : POSIXct, format: "2013-05-06 05:00:00"
## $ temperatureMax : num 60.3
## $ temperatureMaxTime : POSIXct, format: "2013-05-06 14:00:00"
## $ apparentTemperatureMin : num 34.3
## $ apparentTemperatureMinTime : POSIXct, format: "2013-05-06 05:00:00"
## $ apparentTemperatureMax : num 60.3
## $ apparentTemperatureMaxTime : POSIXct, format: "2013-05-06 14:00:00"
## NULL
##
## currently
## ========================================================================================================================
## 'data.frame': 1 obs. of 14 variables:
## $ time : POSIXct, format: "2013-05-06 12:00:00"
## $ summary : chr "Clear"
## $ icon : chr "clear-day"
## $ precipIntensity : int 0
## $ precipProbability : int 0
## $ temperature : num 58.1
## $ apparentTemperature: num 58.1
## $ dewPoint : num 41.9
## $ humidity : num 0.55
## $ pressure : num 1024
## $ windSpeed : num 5.58
## $ windBearing : int 147
## $ cloudCover : num 0.04
## $ visibility : num 9.47
## NULL
# getting data for more than one location
more_than_one <- data.frame(loc=c("Maine", "Seattle"),
lat=c(43.2672, 47.6097),
lon=c(70.8617, 122.3331),
when=c("2013-05-06T12:00:00-0400",
"2013-05-06T12:00:00-0400"),
stringsAsFactors=FALSE)
bigger_list <- pmap(list(more_than_one$lat, more_than_one$lon,
more_than_one$when),
get_forecast_for)
names(bigger_list) <- more_than_one$loc
bigger_list$Seattle
## hourly
## ========================================================================================================================
## 'data.frame': 24 obs. of 13 variables:
## $ time : POSIXct, format: "2013-05-06 12:00:00" "2013-05-06 13:00:00" "2013-05-06 14:00:00" "2013-05-06 15:00:00" ...
## $ summary : chr "Mostly Cloudy" "Partly Cloudy" "Partly Cloudy" "Partly Cloudy" ...
## $ icon : chr "partly-cloudy-night" "partly-cloudy-night" "partly-cloudy-night" "partly-cloudy-night" ...
## $ precipType : chr "rain" "rain" "rain" "rain" ...
## $ temperature : num 57.4 55.8 54.5 53.3 52.4 ...
## $ apparentTemperature: num 57.4 55.8 54.5 53.3 52.4 ...
## $ dewPoint : num 37 37.9 38.5 38.5 38.4 ...
## $ humidity : num 0.46 0.51 0.54 0.57 0.59 0.58 0.53 0.46 0.39 0.33 ...
## $ pressure : num 1014 1013 1013 1013 1013 ...
## $ windSpeed : num 3.84 4.39 4.78 4.61 4.28 4.45 5.59 7.2 8.45 8.99 ...
## $ windBearing : int 182 176 174 176 181 186 188 189 190 193 ...
## $ cloudCover : num 0.62 0.41 0.29 0.4 0.61 0.75 0.73 0.63 0.56 0.58 ...
## $ visibility : num 9.65 9.42 9.25 9.21 9.23 9.25 9.24 9.23 9.25 9.3 ...
## NULL
##
## daily
## ========================================================================================================================
## 'data.frame': 1 obs. of 30 variables:
## $ time : POSIXct, format: "2013-05-06 12:00:00"
## $ summary : chr "Mostly cloudy throughout the day."
## $ icon : chr "partly-cloudy-day"
## $ sunriseTime : POSIXct, format: "2013-05-06 16:25:32"
## $ sunsetTime : POSIXct, format: "2013-05-07 07:11:30"
## $ moonPhase : num 0.91
## $ precipType : chr "rain"
## $ temperatureHigh : num 84.5
## $ temperatureHighTime : int 1367913600
## $ temperatureLow : num 59.2
## $ temperatureLowTime : int 1367956800
## $ apparentTemperatureHigh : num 84.5
## $ apparentTemperatureHighTime: int 1367913600
## $ apparentTemperatureLow : num 59.2
## $ apparentTemperatureLowTime : int 1367956800
## $ dewPoint : num 37.3
## $ humidity : num 0.35
## $ pressure : num 1009
## $ windSpeed : num 6.5
## $ windBearing : int 192
## $ cloudCover : num 0.62
## $ visibility : num 9.36
## $ temperatureMin : num 52.4
## $ temperatureMinTime : POSIXct, format: "2013-05-06 16:00:00"
## $ temperatureMax : num 84.5
## $ temperatureMaxTime : POSIXct, format: "2013-05-07 04:00:00"
## $ apparentTemperatureMin : num 52.4
## $ apparentTemperatureMinTime : POSIXct, format: "2013-05-06 16:00:00"
## $ apparentTemperatureMax : num 84.5
## $ apparentTemperatureMaxTime : POSIXct, format: "2013-05-07 04:00:00"
## NULL
##
## currently
## ========================================================================================================================
## 'data.frame': 1 obs. of 13 variables:
## $ time : POSIXct, format: "2013-05-06 12:00:00"
## $ summary : chr "Mostly Cloudy"
## $ icon : chr "partly-cloudy-night"
## $ precipType : chr "rain"
## $ temperature : num 57.4
## $ apparentTemperature: num 57.4
## $ dewPoint : num 37
## $ humidity : num 0.46
## $ pressure : num 1014
## $ windSpeed : num 3.84
## $ windBearing : int 182
## $ cloudCover : num 0.62
## $ visibility : num 9.65
## NULL
bigger_list$Maine
## hourly
## ========================================================================================================================
## 'data.frame': 24 obs. of 13 variables:
## $ time : POSIXct, format: "2013-05-05 14:00:00" "2013-05-05 15:00:00" "2013-05-05 16:00:00" "2013-05-05 17:00:00" ...
## $ summary : chr "Clear" "Clear" "Clear" "Clear" ...
## $ icon : chr "clear-night" "clear-night" "clear-night" "clear-night" ...
## $ precipType : chr "rain" "rain" "rain" "rain" ...
## $ temperature : num 53.5 52.4 51.2 49.3 51 ...
## $ apparentTemperature: num 53.5 52.4 51.2 49.3 51 ...
## $ dewPoint : num 36.7 36.5 40.4 37.6 38 ...
## $ humidity : num 0.53 0.55 0.66 0.64 0.61 0.63 0.62 0.59 0.47 0.45 ...
## $ pressure : num 1020 NA NA 1020 NA ...
## $ windSpeed : num 4.72 3.32 13 1.86 2.05 3.49 1.91 3.97 13 2.65 ...
## $ windBearing : int 49 48 70 96 101 134 133 177 60 51 ...
## $ cloudCover : num 0 0 0 0 0 0 0.15 0 0 0 ...
## $ visibility : num 7.62 6.2 6.2 7.62 6.2 6.2 9.15 6.2 6.2 9.15 ...
## NULL
##
## daily
## ========================================================================================================================
## 'data.frame': 1 obs. of 30 variables:
## $ time : POSIXct, format: "2013-05-05 14:00:00"
## $ summary : chr "Clear throughout the day."
## $ icon : chr "clear-day"
## $ sunriseTime : POSIXct, format: "2013-05-05 20:04:18"
## $ sunsetTime : POSIXct, format: "2013-05-06 10:24:35"
## $ moonPhase : num 0.88
## $ precipType : chr "rain"
## $ temperatureHigh : num 75.3
## $ temperatureHighTime : int 1367827200
## $ temperatureLow : num 47.6
## $ temperatureLowTime : int 1367881200
## $ apparentTemperatureHigh : num 75.3
## $ apparentTemperatureHighTime: int 1367827200
## $ apparentTemperatureLow : num 45.4
## $ apparentTemperatureLowTime : int 1367881200
## $ dewPoint : num 37.6
## $ humidity : num 0.42
## $ pressure : num 1018
## $ windSpeed : num 8.31
## $ windBearing : int 62
## $ cloudCover : num 0.02
## $ visibility : num 7.02
## $ temperatureMin : num 49.3
## $ temperatureMinTime : POSIXct, format: "2013-05-05 17:00:00"
## $ temperatureMax : num 75.3
## $ temperatureMaxTime : POSIXct, format: "2013-05-06 04:00:00"
## $ apparentTemperatureMin : num 49.3
## $ apparentTemperatureMinTime : POSIXct, format: "2013-05-05 17:00:00"
## $ apparentTemperatureMax : num 75.3
## $ apparentTemperatureMaxTime : POSIXct, format: "2013-05-06 04:00:00"
## NULL
##
## currently
## ========================================================================================================================
## 'data.frame': 1 obs. of 12 variables:
## $ time : POSIXct, format: "2013-05-06 12:00:00"
## $ summary : chr "Clear"
## $ icon : chr "clear-night"
## $ precipType : chr "rain"
## $ temperature : num 67.2
## $ apparentTemperature: num 67.2
## $ dewPoint : num 33.2
## $ humidity : num 0.28
## $ windSpeed : num 11.2
## $ windBearing : int 72
## $ cloudCover : int 0
## $ visibility : num 6.2
## NULL
print(sprintf("You have used %s API calls.", then$`x-forecast-api-calls`))
## [1] "You have used 32 API calls."
plot(now)
library(darksky)
library(testthat)
date()
## [1] "Tue May 29 15:54:49 2018"
test_dir("tests/")
## ✔ | OK F W S | Context
## ══ testthat results ════════════════════════════════════════════════════════════
## OK: 4 SKIPPED: 0 FAILED: 0
##
## ══ Results ══════════════════════════════════════════════════════════════════════
## Duration: 0.5 s
##
## OK: 0
## Failed: 0
## Warnings: 0
## Skipped: 0