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Weather.txt has monthly average data for Ibaraki from January 2000 to December 2021.
It is stored in order of year, January temperature, February temperature, …, December temperature.
Program to read weather.txt and output average temperature for each year and month
2000, 7.6, 6.0, 9.4, 14.5, 19.8, 22.5, 27.7, 28.3, 25.6, 18.8, 13.3, 8.8
2001,4.9,6.6,9.8,15.7,19.5,23.1,28.5,26.4,23.2,18.7,13.1,8.4
2002,7.4,7.9,12.2,16.1,18.4,21.6,28.0,28.0,23.1,19.0,11.6,7.2
2003,5.5,6.4,8.7,15.1,18.8,23.2,22.8,26.0,24.2,17.8,14.4,9.2
2004,6.3,8.5,9.8,16.4,19.6,23.7,28.5,27.2,25.1,17.5,15.6,9.9
2005,6.1,6.2,9.0,15.1,17.7,23.2,25.6,28.1,24.7,19.2,13.3,6.4
2006,5.1,6.7,9.8,13.6,19.0,22.5,25.6,27.5,23.5,19.5,14.4,9.5
2007,7.6,8.6,10.8,13.7,19.8,23.2,24.4,29.0,25.2,19.0,13.3,9.0
2008,5.9,5.5,10.7,14.7,18.5,21.3,27.0,26.8,24.4,19.4,13.1,9.8
2009,6.8,7.8,10.0,15.7,20.1,22.5,26.3,26.6,23.0,19.0,13.5,9.0
2010,7.0,6.5,9.1,12.4,19.0,23.6,28.0,29.6,25.1,18.9,13.5,9.9
2011,5.1,7.0,8.1,14.5,18.5,22.8,27.3,27.5,25.1,19.5,14.9,7.5
2012,4.8,5.4,8.8,14.5,19.6,21.4,26.4,29.1,26.2,19.4,12.7,7.3
2013,5.5,6.2,12.1,15.2,19.8,22.9,27.3,29.2,25.2,19.8,13.5,8.3
2014,6.3,5.9,10.4,15.0,20.3,23.4,26.8,27.7,23.2,19.1,14.2,6.7
2015,5.8,5.7,10.3,14.5,21.1,22.1,26.2,26.7,22.6,18.4,13.9,9.3
2016,6.1,7.2,10.1,15.4,20.2,22.4,25.4,27.1,24.4,18.7,11.4,8.9
2017,5.8,6.9,8.5,14.7,20.0,22.0,27.3,26.4,22.8,16.8,11.9,6.6
2018,4.7,5.4,11.5,17.0,19.8,22.4,28.3,28.1,22.9,19.1,14.0,8.3
2019,5.6,7.2,10.6,13.6,20.0,21.8,24.1,28.4,25.1,19.4,13.1,8.5
2020,7.1,8.3,10.7,12.8,19.5,23.2,24.3,29.1,24.2,17.5,14.0,7.7
2021,5.4,8.5,12.8,15.1,19.6,22.7,25.9,27.4,22.3,18.2,13.7,7.9
Please tell me what kind of program it will be
python
When asked, "What are you having trouble with?" I guess you can only say, "I don't understand everything."If that's the case, the range of challenges is too wide.First, break down what you do into small steps and work on them one by one.Smaller steps are easy to search by keyword or use on these questioning sites.
with open("weather.txt") as file:
For line in file:
line=line.rstrip()#Delete line feed
Note:
str_list=line.split(",")
year=str_list[0]
Note: str.split
for month in range (1,13):
temperature=float(str_list[month])
Note:
To sum up so far, for example,
with open("weather.txt") as file:
For line in file:
line=line.rstrip()#Delete line feed
str_list = line.split(", ")
year=str_list[0]
print(f"--{year} year--")
for month in range (1,13):
temperature=float(str_list[month])
print(f"{year} year {month} month temperature: {temperature}")
In some cases, the data is stored in a list instead of being used immediately.I'm going to do it this time because it's simple.
The average is
~total and initializing them with 0+=and so on."In the case of the question, ""average of each month"" may be a little difficult."From January to December, it is not good to have 12 variables, such as month1_total, month2_total.In these cases, put them together in a list.
# Example:
# initialization
month_total_list = [0.0]*12
# addition
month_total_list[i]+=temperature
Note that the index of the list starts with 0, which is one off the name of the month.Insert these averaging codes into your previous code and you'll be done.
with open("weather.txt") as file:
month_total_list = [0.0]*12
year_count = 0
For line in file:
year_count+=1
line=line.rstrip()#Delete line feed
str_list = line.split(", ")
year=str_list[0]
# print(f"--{year} --")
year_total = 0.0
for month in range (1,13):
temperature=float(str_list[month])
# print(f"{year} year {month} month temperature: {temperature}")
year_total+=temperature
month_total_list [month-1] + = temperature
print(f"{year} year average temperature: {year_total/12}")
print("--average for each month--")
for i in range (0,12):
print(f"{i+1} month average temperature: {month_total_list[i]/year_count}")
The above code has not been tested.In addition, Floating-point calculations have errors.
If you ignore learning situations that are probably in the early stages, using pandas is short and easy.
These four lines allow you to read and calculate the average value.
import pandas as pd
df=pd.read_csv('weather.txt', header=None, index_col=0)
df ['Average annual temperature'] = df.mean(axis=1)
df = pd.concat ([df, pd.DataFrame(df.mean(), columns=['Monthly Average Temperature'].T], axis=0)
You can continue to see everything, including the original data.
pd.set_option('display.unicode.east_asian_width', True)
pd.options.display.float_format='{:,.1f}'.format
print(df)
If you only want to see the calculated value, do the following instead of print(df) above:
print ('average annual temperature')
print(df['average annual temperature'][:-1].to_string())
print('')
print(df.iloc [-1:, 0:12].T)
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