temp analysis

[Simba]

thanks for that I'll use encoding from next time, I get the

new = int(s[1].split()[0])

like I think its sub splitting? but just having a problem understanding that when you have the string s, this is the single string , can you please tell me how can I repeat this for whole file and do comparison ? and apologies for the messy code as we both are just new to this , please feel free to cut out unnecessary junk out of it.

thanks in anticipation

this is the very first file 'Data.csv'. it has a header.



Time,Temperature,Humidity,Wind,Wind Speed,Wind Gust,Pressure,Precip.,Precip Accum,Condition
00:00:00,14 C,87�%,WSW,6�mph,0�mph,29.1�in,0.0�in,0.0�in,Mostly Cloudy
00:00:30,11 C,81�%,WSW,6�mph,0�mph,29.1�in,0.0�in,0.0�in,Mostly Cloudy
00:01:00,23 C,93�%,W,7�mph,0�mph,29.1�in,0.0�in,0.0�in,Mostly Cloudy
00:01:30,25 C,93�%,WSW,7�mph,0�mph,29.0�in,0.0�in,0.0�in,Mostly Cloudy
00:02:00,18 C,93�%,WSW,9�mph,0�mph,29.0�in,0.0�in,0.0�in,Light Rain Shower
00:02:30,10 C,93�%,W,9�mph,0�mph,29.0�in,0.0�in,0.0�in,Light Rain Shower
00:03:00,17 C,93�%,W,9�mph,0�mph,29.0�in,0.0�in,0.0�in,Mostly Cloudy
00:03:30,17 C,93�%,W,9�mph,0�mph,29.0�in,0.0�in,0.0�in,Light Rain Shower
00:04:00,23 C,100�%,W,8�mph,0�mph,29.0�in,0.0�in,0.0�in,Mostly Cloudy
00:04:30,26 C,100�%,W,10�mph,0�mph,29.1�in,0.0�in,0.0�in,Mostly Cloudy
00:05:00,20 C,100�%,WNW,13�mph,0�mph,29.1�in,0.0�in,0.0�in,Light Rain
00:05:30,21 C,93�%,W,10�mph,0�mph,29.1�in,0.0�in,0.0�in,Light Rain
00:06:00,25 C,93�%,W,9�mph,0�mph,29.1�in,0.0�in,0.0�in,Light Rain
00:06:30,25 C,100�%,W,13�mph,0�mph,29.1�in,0.0�in,0.0�in,Light Rain
00:07:00,27 C,93�%,W,14�mph,0�mph,29.1�in,0.0�in,0.0�in,Mostly Cloudy
00:07:30,27 C,93�%,W,13�mph,0�mph,29.1�in,0.0�in,0.0�in,Fair
00:08:00,14 C,93�%,W,15�mph,0�mph,29.1�in,0.0�in,0.0�in,Partly Cloudy
00:08:30,13 C,93�%,W,12�mph,0�mph,29.1�in,0.0�in,0.0�in,Fair
00:09:00,14 C,93�%,W,14�mph,0�mph,29.2�in,0.0�in,0.0�in,Fair
00:09:30,28 C,93�%,W,16�mph,0�mph,29.2�in,0.0�in,0.0�in,Fair
00:10:00,10 C,87�%,W,17�mph,0�mph,29.2�in,0.0�in,0.0�in,Fair
00:10:30,18 C,81�%,W,20�mph,0�mph,29.2�in,0.0�in,0.0�in,Fair
00:11:00,27 C,81�%,W,21�mph,0�mph,29.2�in,0.0�in,0.0�in,Fair / Windy
00:11:30,15 C,76�%,W,22�mph,0�mph,29.2�in,0.0�in,0.0�in,Fair / Windy
00:12:00,28 C,76�%,W,23�mph,0�mph,29.3�in,0.0�in,0.0�in,Partly Cloudy / Windy
00:12:30,17 C,70�%,W,18�mph,0�mph,29.3�in,0.0�in,0.0�in,Fair
00:13:00,23 C,70�%,W,21�mph,0�mph,29.3�in,0.0�in,0.0�in,Partly Cloudy / Windy
00:13:30,23 C,66�%,W,21�mph,0�mph,29.3�in,0.0�in,0.0�in,Mostly Cloudy / Windy
00:14:00,18 C,61�%,W,23�mph,0�mph,29.3�in,0.0�in,0.0�in,Mostly Cloudy / Windy
00:14:30,14 C,66�%,W,22�mph,33�mph,29.3�in,0.0�in,0.0�in,Mostly Cloudy / Windy
00:15:00,28 C,66�%,WSW,18�mph,0�mph,29.3�in,0.0�in,0.0�in,Mostly Cloudy
00:15:30,18 C,66�%,WSW,16�mph,30�mph,29.3�in,0.0�in,0.0�in,Showers in the Vicinity
00:16:00,29 C,61�%,W,18�mph,32�mph,29.3�in,0.0�in,0.0�in,Mostly Cloudy
00:16:30,21 C,70�%,WSW,17�mph,29�mph,29.3�in,0.0�in,0.0�in,Light Rain
00:17:00,12 C,70�%,WSW,16�mph,30�mph,29.3�in,0.0�in,0.0�in,Light Rain
00:17:30,22 C,76�%,WSW,17�mph,0�mph,29.3�in,0.0�in,0.0�in,Light Rain
00:18:00,22 C,87�%,WSW,18�mph,38�mph,29.3�in,0.0�in,0.0�in,Light Rain
00:18:30,12 C,93�%,WSW,20�mph,35�mph,29.3�in,0.0�in,0.0�in,Light Rain
00:19:00,24 C,87�%,W,25�mph,0�mph,29.3�in,0.0�in,0.0�in,Light Rain / Windy
00:19:30,28 C,93�%,W,31�mph,43�mph,29.3�in,0.0�in,0.0�in,Light Rain / Windy