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()
Related
I am a beginner. I have a log file like the below for ~ 1000 cycle loops,
"CycleSTART#1
Temp=26C
Fan=3000
CycleSTART#2
Temp=27C
Fan=3200
.
.
.
."
My objective is to read the Temp & fan values corresponding to cycle count. Basically I want to put everything in a table. And I tried with the simple programming
string1 = 'CycleSTART#'
string2 = 'Temp'
string3 = 'Fan'
import pandas as pd
filepath = "XXX<location of txt file>"
with open(filepath) as fp:
line=fp.readline()
cnt = 1
while line:
cnt += 1
flag = 0
index = 0
for line in fp:
if string1 in line:
flag = 1
break
if flag == 1:
lword=len(line)
extracted_string1 = line[11:11+lword]
for line in fp:
if string2 in line:
flag = 2
break
if flag == 2:
lword=len(line)
extracted_string2 = line[6:6+lword]
for line in fp:
if string3 in line:
flag = 3
break
if flag == 3:
lword=len(line)
extracted_string3 = line[5:5+lword]
data = {'cycle': [extracted_string1],
'temp' : [extracted_string2],
'Fan' : [extracted_string3],
df = pd.DataFrame(data, columns = ['cycle', 'temp', 'Fan']
print (df)
f.close()
Tried with this but every time, I get the first cycle value and its not looping to the next cycles.
I would rewrite a little bit and use splits to stay away from regex.
import pandas as pd
def add_to_dict(item, key, dic):
if dic.get(item, False):
dic[item].append(item)
else:
dic[item] = [item]
filepath = "XXX<location of txt file>"
data_container = {}
with open(filepath, "r") as f:
for indx, line in enumerate(f):
if indx % 3 == 0:
value = int(line.split("#")[-1]) # Split on # and then convert to number
key = "cycle"
elif indx % 3 == 1:
temp = float(temp.split("=")[-1][:-1]) # Split on = and then remove the C to hold the temperature value
key = "temp"
elif indx % 3 == 2:
fan = int(fan.split("=")[-1]) # Almost same as above, split on = to get the numerical value at the end and convert it to int
key = "Fan"
add_to_dict(value, key, data_container)
dataframe = pd.DataFrame.from_dict(data_container)
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)
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
This is the output I need:
Temperature anomaly filename:SacramentoTemps.csv
Enter window size:60
1940,-0.2331
1941,-0.2169
1942,-0.2150
1943,-0.2228
1944,-0.2107
1945,-0.1796
1946,-0.1667
1947,-0.1582
1948,-0.1585
1949,-0.1492
1950,-0.1711
1951,-0.1688
1952,-0.1490
1953,-0.1556
1954,-0.1548
1955,-0.1580
1956,-0.1420
1957,-0.1101
1958,-0.1017
This is my code:
filename = input("Temperature anomaly filename:")
infile = open(filename, "r")
k = int(input("Enter window size:"))
infile.readline()
temp_list = []
for line in infile:
line = line.strip()
year,temp = line.split(",")
temp = float(temp)
temp_list.append(temp)
index = k
for index in range(index,len(temp_list)-1-index):
year = 1880 + index
ave = sum(temp_list[index:index+k]) / (2*index+1)
print(str(year)+","+"{:.4f}".format(ave))
infile.close()
My code currently prints out up until the year 1957 and it prints out the wrong averages for each year. What do I need to fix?
filename = "SacramentoTemps.csv"
infile = open(filename, "r")
k = int(input("Enter window size:"))
temp_list = []
for line in infile:
line = line.strip()
year, temp = line.split(",")
temp = float(temp)
temp_list.append(temp)
infile.close()
moving_average = []
for i, temp in enumerate(temp_list):
average = temp
if len(temp_list) - i < k:
break
for j in range(k):
average += temp_list[i+j]
moving_average.append(average/k)
print(str(year) + "," + "{:.4f}".format(average))
I coded in the direction of modifying your code as little as possible.
One thing to note is your file need to be longer than window size.
Using pandas would be most sane way to go:
import pandas as pd
filename = "SacramentoTemps.csv"
window = 2
data = pd.read_csv(filename)
data.temperature.rolling(window = window).mean().fillna(data.temperature)
I have two files: file(student) where there are 20 students and file(lecturer) where there are 3 lecturers. I want to pair the students and lecturers randomly. For example:
lecturer(1) = student(2),student(3),student(19)
lecturer(3) = student(20),student(23)......
This is the code I have tried. It is not behaving in the manner I had hoped for:
import random
lecturer = open("lecturer.txt", "r")
students = open("students.txt", "r")
spliti = lecturer.read().split("\n")
splitis = students.read().split("\n")
stud = (random.choice(splitis))
for stud in splitis:
file = open(stud + "txt","w")
for i in range():
questinss = random.choice(spliti)
file.write(lecturer + "\n")
files = open(students + ",txt", "r")
file.close()
lecturer.close()
students.close()
Here are some codes that you can use. Hope it can give you some thoughts.
import random
# get the students
with open('student.txt','r') as f:
students = f.read().split()
# get the lectures
with open('lecture.txt','r') as f:
lectures = f.read().spilt()
# since you only have three different lectures, we can sequently
# collect them as 0,1,2
reflist = []
for student in students:
reflist.append( lectures[ random.randrange(3) ] )
# prepare for the print
lecture_student = []
for lecture in lectures:
count = 0
ls = []
for ndx in reflist:
if lecture == ndx:
ls.append(students[count])
count += 1
lecture_student.append(ls)
# now to file them
with open('pro_lecture_student.txt','wt') as f:
count = 0
for lecture in lectures:
f.write(lecture)
f.write(': ')
for student in lecture_student[count]:
f.write(student)
f.write('\n\n')
count += 1