We Keep Coding

How do i find the mean

def get_mean_temperature(filename):
with open(filename) as f:
lst = f.read().splitlines()
lst.pop(0)
result = 0
count = 0
for element in lst:
count += 1
el = int(element[6:])
result += el
print(result)
mn_tem = result / count
return mmn_tem
if __name__ == "__main__":
filename = "temp_log.txt"
with open(filename, "w") as f:
f.write("DATES T.\n07-01 28.0\n08-01 33.5\n09-01 27.0\n")
mean_temperature = get_mean_temperature(filename)
print(f"{mean_temperature:.1f}")
This is the code that I am trying to solve. So what I have to do here is to find the mean of temperature that are given in the text file, which are in this case "DATES T.\n07-01 28.0\n08-01 33.5\n09-01 27.0\n"
The text is sorted by MM-DD TT.T
Please help me have this code to work

from statistics import mean
data = "DATES T.\n07-01 28.0\n08-01 33.5\n09-01 27.0\n"
temperatures = [float(item.split()[1]) for item in data.split("\n")[1:] if item]
temperatures_mean = mean(temperatures)
print(temperatures)
print(temperatures_mean)
Output:
[28.0, 33.5, 27.0]
29.5
Or, as your original function:
from statistics import mean
def get_mean_temperature(filepath):
with open(filepath, "r") as f:
data = f.read()
temperatures = [float(item.split()[1]) for item in data.split("\n")[1:] if item]
return mean(temperatures)

transform for in loop to while loop

i have this assignment in a basic programming course where i need to transform this code using while loop instead of for loop, but i dont know how to doit
this is my code so far
def read_txt(file_txt):
file = open(file_txt, "r")
lines = file.readlines()
file.close()
return lines
file_txt = input("file: ")
lines = read_txt(file_txt)
for l in lines:
asd = l.split(",")
length = len(asd)
score = 0
for i in range(1, length):
score += int(asd[i])
average = score / (length-1)
print(asd[0], average)
file text is like this
edward,4,3,1,2
sara,5,4,1,0

def read_txt(file_txt):
file = open(file_txt, "r")
lines = file.readlines()
file.close()
return lines
file_txt = input("file: ")
lines = read_txt(file_txt)
lines.reverse()
while lines:
l = lines.pop()
asd = l.split(",")
length = len(asd)
score = 0
i = 1
while i < length:
score += int(asd[i])
i += 1
average = score / (length-1)
print(asd[0], average)
Now in this while loop, it will iterate through lines until lines is empty. it will pop out items one by one.

For loops are more suitable for iterating over lines in files than while loops. Few improvements here are, (1) use the builtin sum instead of manually adding up scores, and (2) don't read all lines in file at once if the files are too big.
file_txt = input("file: ")
with open(file_txt) as f:
while True:
line = f.readline()
if not line:
break
name, scores = line.split(',', maxsplit=1)
scores = scores.split(',')
avg = sum(int(s) for s in scores) / len(scores)
print(f'{name} {avg}')
As you see above the check for if not line to determine if we have reached the end of file in a while loop, this is not needed in for loop as that implements the __iter__ protocol.
Python 3.8 walrus operator makes that slightly easier with::
file_txt = input("file: ")
with open(file_txt) as f:
while line := f.readline():
name, scores = line.split(',', maxsplit=1)
scores = scores.split(',')
avg = sum(int(s) for s in scores) / len(scores)
print(f'{name} {avg}')

The following gives the exact same output without using any for loop.
filename = input("file: ")
with open(filename) as f:
f = f.readlines()
n = []
while f:
v = f.pop()
if v[-1] == '\n':
n.append(v.strip('\n'))
else:
n.append(v)
d = {}
while n:
v = n.pop()
v = v.split(',')
d[v[0]] = v[1:]
d_k = list(d.keys())
d_k.sort(reverse=True)
while d_k:
v = d_k.pop()
p = d[v]
n = []
while p:
a = p.pop()
a = int(a)
n.append(a)
print(str(v), str(sum(n)/len(n)))
Output:
edward 2.5
sara 2.5

Python: Average Prie per Year

Would anyone be able to help me with the below? I'm trying to create a program that can open the "notepad.txt" file and calculate the average price for the month of October.
notepad.txt
10-15-2012:3.886
10-22-2012:3.756
10-29-2012:3.638
infile = open('notepad.txt', 'r')
def clean_data():
line1 = infile.readline()
split1 = line1.rstrip('\n')
items = split1[0].split('-')
del items[0]
del items[0]
master = []
master = master + split1 + items
master = list(map(float, master))
print(master)
print(total)
line1 = infile.readline()
clean_data()

this prints and returns the average
def clean_data(infile):
lines = infile.readlines()
total = 0.0
num = 0
for line in lines:
spl = line.strip().split(":")
total += float(spl[len(spl)-1])
num += 1
average = total/num
print(average)
return average

def sum_data():
n,c = 0,0
with open('notepad.txt', 'r') as infile:
x = infile.readline()
# for october 10
if x[:3]=='10-' and x[6:10]=='2010';
n += float(x[12:])
c += 1
print(n/c)

If you want to use Pandas:
from io import StringIO
import pandas as pd
notepadtxt = StringIO("""10-15-2012:3.886
10-22-2012:3.756
10-29-2012:3.638""")
df = pd.read_csv(notepadtxt, sep='\:',header=None, engine='python')
df[0] = pd.to_datetime(df[0])
df=df.set_index(0)
df.resample('M').mean().values[0][0]
Output:
3.7600000000000002

The following vanilla Python code should suffice:
infile = open('notepad.txt', 'r')
def clean_data():
data = []
for line in infile:
data.append(line.strip().split(':'))
values = []
for value in data:
values.append(float(value[1]))
avg_price = sum(values)/len(values)
print(avg_price)
clean_data()
infile.close()

loop iteration - rewriting the output file

I currently have this code that successfully reads information from two sources and correctly formats them into an output file \_spec_final.t15. Currently the information prints one after another, but I would like it to print the information for one line/file then overwrite it with the next iteration. Does anybody know how to do this?
with open('\\_spec_final.t15', 'w') as f:
with open('info.txt', 'rt') as infofile:
for count, line in enumerate(infofile):
print count
lat = float(line[88:94])
lon = float(line[119:127])
year = int(line[190:194])
month = int(line[195:197])
day = int(line[198:200])
hour = int(line[201:203])
minute = int(line[204:206])
second = int(line[207:209])
dur = float(line[302:315])
numpoints = float(line[655:660])
fov = line[481:497] # field of view?
sza = float(line[418:426])
snr = 0.0000
roe = 6396.2
res = 0.5000
lowwav = float(lowwav)
highwav = float(highwav)
spacebw = (highwav - lowwav)/ numpoints
d = datetime.datetime(year, month, day, hour, minute, second)
f.write('{:>12.5f}{:>12.5f}{:>12.5f}{:>12.5f}{:>8.1f}'.format(sza,roe,lat,lon,snr)) # line 1
f.write("\n")
f.write('{:>10d}{:>5d}{:>5d}{:>5d}{:>5d}{:>5d}'.format(year,month,day,hour,minute,second)) # line 2
f.write("\n")
f.write( ('{:%Y/%m/%d %H:%M:%S}'.format(d)) + "UT Solar Azimuth:" + ('{:>6.3f}'.format(sza)) + " Resolution:" + ('{:>6.4f}'.format(res)) + " Duration:" + ('{:>6.2f}'.format(dur))) # line 3
f.write("\n")
f.write('{:>21.13f}{:>26.13f}{:>24.17e}{:>12f}'.format(lowwav,highwav,spacebw,numpoints)) # line 4
f.write("\n")
with open(files[count], 'r') as g:
for line in g:
wave_no, intensity = [float(item) for item in line.split()]
if lowwav <= wave_no <= highwav:
f.write(str(intensity) + '\n')

Open and write to the file after you read in infofile.
It will open and overwrite \_spec_final.t15 with each iteration.
with open('info.txt', 'rt') as infofile:
for count, line in enumerate(infofile):
print count
with open('\\_spec_final.t15', 'w') as f:

counting the lines and extract the floating point values and compute the average of the values

So i need to write a program that prompts for a file name, then opens that file and reads through the file, looking for lines of the form:X-DSPAM-Confidence: 0.8475
I am stuck in getting the sum of the extracted values and counting the lines and printing to show the user.
out_number = 'X-DSPAM-Confidence: 0.8475'
Num = 0.0
flag = 0
fileList = list()
fname = input('Enter the file name')
try:
fhand = open(fname)
except:
print('file cannot be opened:',fname)
for line in fhand:
fileList = line.split()
print(fileList)
for line in fileList:
if flag == 0:
pos = out_number.find(':')
Num = out_number[pos + 2:]
print (float(Num))

You have an example line in your code, and when you look through each line in your file, you compute the number in your example line, not in the line from the file.
So, here's what I would do:
import os
import sys
fname = input('Enter the file name: ')
if not os.path.isfile(fname):
print('file cannot be opened:', fname)
sys.exit(1)
prefix = 'X-DSPAM-Confidence: '
numbers = []
with open(fname) as infile:
for line in infile:
if not line.startswith(prefix): continue
num = float(line.split(":",1)[1])
print("found:", num)
numbers.append(num)
# now, `numbers` contains all the floating point numbers from the file
average = sum(numbers)/len(numbers)
But we can make it more efficient:
import os
import sys
fname = input('Enter the file name: ')
if not os.path.isfile(fname):
print('file cannot be opened:', fname)
sys.exit(1)
prefix = 'X-DSPAM-Confidence: '
tot = 0
count = 0
with open(fname) as infile:
for line in infile:
if not line.startswith(prefix): continue
num = line.split(":",1)[1]
tot += num
count += 1
print("The average is:", tot/count)

try this
import re
pattern = re.compile("X-DSPAM-Confidence:\s(\d+.\d+)")
sum = 0.0
count = 0
fPath = input("file path: ")
with open('fPath', 'r') as f:
for line in f:
match = pattern.match(line)
if match is not None:
lineValue = match.group(1)
sum += float(lineValue)
count += 1
print ("The average is:", sum /count)

fname = input("Enter file name: ")
fh = open(fname)
count=0
x=0
for line in fh:
if not line.startswith("X-DSPAM-Confidence:") : continue
x=float(line.split(":")[1].rstrip())+x
count=count+1
output=x/count
print("Average spam confidence:",output)