Is your feature request related to a problem? Please describe.
Humidity makes a big difference in the feel of the temperature to me. 22°C (72°F) and 45% humidity is a gorgeous day where I'm going to want every window of my house open; the same temperature with 90% humidity is going to find me with the windows shut, running my dehumidifier. When I'm looking ahead at the day's weather, I'd love to be able to see humidity at a glance.
Describe the solution you'd like
The same way that the bottom graph shows both % chance and mm of rain, I propose to have a second line on the top graph that shows humidity.
Additional context
One difference from the rain graph: I would like if the axis would stay as temperature.
Actually, think I would also appreciate if the units were swapped on the rain graph. If you say that the top line is 100% chance and the axis is 0%, it's pretty easy for me to eyeball the height of the data point. This is because the scale is consistent day-to-day— halfway up always means 50%. With mm of rain being the unlabeled data series, the height of the data point doesn't really mean anything without me doing some mental math first (quick! What's 30% of 44?). It's not that hard, it would just be nice if I didn't need to do it :)
### Is your feature request related to a problem? Please describe.
Humidity makes a big difference in the feel of the temperature to me. 22°C (72°F) and 45% humidity is a gorgeous day where I'm going to want every window of my house open; the same temperature with 90% humidity is going to find me with the windows shut, running my dehumidifier. When I'm looking ahead at the day's weather, I'd love to be able to see humidity at a glance.
### Describe the solution you'd like
The same way that the bottom graph shows both % chance and mm of rain, I propose to have a second line on the top graph that shows humidity.
### Additional context
One difference from the rain graph: I would like if the axis would stay as temperature.
Actually, think I would also appreciate if the units were swapped on the rain graph. If you say that the top line is 100% chance and the axis is 0%, it's pretty easy for me to eyeball the height of the data point. This is because the scale is **consistent day-to-day**— halfway up always means 50%. With mm of rain being the unlabeled data series, the height of the data point doesn't really mean anything without me doing some mental math first (quick! What's 30% of 44?). It's not *that* hard, it would just be nice if I didn't need to do it :)