Downloaded time: 11/11/2019 16:04:33
staying overnight at a temple
Wind direction (m/s) per hour (month/day)
2016 12 23 5 9.6 West
2016 12 23 6 9.8 West
2016 12 23 7 10.6 West
2016 12 23 8 10.4 West
2016 12 23 9 10.5 West
2016 12 23 10 9.1 West
2016 12 23 11 8.1 West-northwest
2016 12 23 12 7.8 West-northwest
2016 12 23 13 6.8 West-northwest
2016 12 23 14 6.3 West-northwest
2016 1223 156.2 West-West
2016 12 23 166.5 West-northwest
2016 12 23 17 6.3 Northwest
2016 12 23 18 6.3 West-northwest
2016 1223 195.4 West-northwest
2016 12 23 20 3.9 West-northwest
2016 12 23 214 West-northwest
2016 12 23 22 4.6 Northwest
2016 12 23 23 24 Northwest
The method of summarization is to count the number of wind speeds of 10 m/s or more and meet the six directions of west, northwest, northwest, northwest, northwest, and north in 16 directions.Reading the csv file and counting the number of wind speeds above 10 m/s is made up of the following code:
I stumble when I count the number of items that meet a specific orientation.
Is it possible to categorize Japanese in the first place?
The current code is listed below.
Thank you for your cooperation.
import csv
f=open("Terayuki 12-1.csv", "r")
reader=csv.reader(f)
next(reader);next(reader);next(reader);next(reader);next(reader)
count = 0
For row in reader:
colE=float(row[4])
if colE>=10:
count+=1
print(count)
f.close()
You can simply use the list and the in operator.
Determine if the list contains specific elements by Python's in operator
import csv
trgDir=['West', 'West-West', 'North-West', 'North-West', 'North-West', 'North-West', 'North-West']
f=open("Terayuki 12-1.csv", "r")
reader=csv.reader(f)
for i in range (5):
next(reader)
count = 0
For row in reader:
colE=float(row[4])
if(colE>=10) and (row[5]intrgDir):
count+=1
print(count)
f.close()
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