-
-
Save MichelleDalalJian/4d630b054e647b2d61a5ed9bcc385f10 to your computer and use it in GitHub Desktop.
| import re | |
| hand = open("regex_sum_24962.txt") | |
| x=list() | |
| for line in hand: | |
| y = re.findall('[0-9]+',line) | |
| x = x+y | |
| sum=0 | |
| for z in x: | |
| sum = sum + int(z) | |
| print(sum) |
I dont understand why my result is 0. Would any one help? thank you!
http://py4e-data.dr-chuck.net/regex_sum_1311333.txt
Any help??
Number ends with 280
i have http://py4e-data.dr-chuck.net/regex_sum_1438632.txt but when i run program i am getting total 1384 and expected results shows the sun should end with 843
following is the program i added:
import re
text = """This file contains the actual data for your assignment - good luck!
7020 Why should you learn to write programs? 9948
Writing programs (or programming) is a very creative
and rewarding activity. You can write programs for
many 499 reasons, 5342 ranging 9132 from making your living to solving
a difficult data analysis problem to having fun to helping
someone else solve a problem. This book assumes that
everyone needs to know how to program, and that once
you know how to program you will figure out what you want
to do with your newfound skills.
We are surrounded in our daily lives with computers ranging
from laptops to cell phones. We can think of these computers
as our personal assistants who can take care of many things
on our behalf. The hardware in our current-day computers
is essentially built to continuously ask us the question,
What would you like me to do next?
Programmers add an operating system and a set of applications
to the hardware and we end up with a Personal Digital
Assistant that is quite helpful and capable of helping
us do many different things.
Our computers are fast and have vast amounts of memory and
could be very helpful to us if we only knew the language to
speak to explain to the computer what we would like it to
do next. If we knew this language, we could tell the
computer to do tasks on our behalf that were repetitive.
Interestingly, the kinds of things computers can do best
are often the kinds of things that we humans find boring
and mind-numbing.
For example, look at the first three paragraphs of this
chapter and tell me the most commonly used word and how
many times the word is used. While you were able to read
and understand the words in a few seconds, counting them
is almost painful because it is not the kind of problem
that human minds are designed to solve. For a computer
the opposite is true, reading and understanding text
from a piece of paper is hard for a computer to do
but counting the words and telling you how many times
the most used word was used is very easy for the
computer:
5953 Our personal information analysis assistant quickly
told us that the word to was used sixteen times in the
4387 first three paragraphs of this chapter. 7521
This very fact that computers are good at things
that humans are not is why you need to become
skilled at talking computer language. Once you learn
this new language, you can delegate mundane tasks
to your partner (the computer), leaving more time
for you to do the
8691 things that you are uniquely suited for. You bring 4960
creativity, intuition, and inventiveness to this
partnership.
Creativity and motivation
While this book is not intended for professional programmers, professional
programming can be a very rewarding job both financially and personally.
Building useful, elegant, and clever programs for others to use is a very
creative activity. Your computer or Personal Digital Assistant (PDA)
usually contains many different programs from many different groups of
programmers, each competing for your attention and interest. They try
their best to meet your needs and give you a great user experience in the
process. In some situations, when you choose a piece of software, the
programmers are directly compensated because of your choice.
If we think of programs as the creative output of groups of programmers,
perhaps the following figure is a more sensible version of our PDA:
For now, our primary motivation is not to make money or please end users, but
instead for us to be more productive in handling the data and
information that we will encounter in our lives.
When you first start, you will be both the programmer and the end user of
your programs. As you gain skill as a programmer and
programming feels more creative to you, your thoughts may turn
toward 5532 developing 6722 programs 1357 for others.
Computer hardware architecture
Before we start learning the language we
speak to give instructions to computers to
develop software, we need to learn a small amount about
how computers are built.
Central Processing Unit (or CPU) is
the part of the computer that is built to be obsessed
with what is next? If your computer is rated
at three Gigahertz, it means that the CPU will ask What next?
three billion times per second. You are going to have to
learn how to talk fast to keep up with the CPU.
Main Memory is used to store information
that the CPU needs in a hurry. The main memory is nearly as
fast as the CPU. But the information stored in the main
memory vanishes when the computer is turned off.
Secondary Memory is also used to store
information, but it is much slower than the main memory.
The advantage of the secondary memory is that it can
store information even when there is no power to the
computer. Examples of secondary memory are disk drives
or flash memory (typically found in USB sticks and portable
music players).
Input and Output Devices are simply our
screen, keyboard, mouse, microphone, speaker, touchpad, etc.
They are all of the ways we interact with the computer.
7597 2834 469
These days, most computers also have a
Network Connection to retrieve information over a network.
We can think of the network as a very slow place to store and
retrieve data that might not always be up. So in a sense,
1606 the network is a slower and at times unreliable form of 6649
Secondary Memory.
While most of the detail of how these components work is best left
to computer builders, it helps to have some terminology
so we can talk about these different parts as we write our programs.
As a programmer, your job is to use and orchestrate
each of these resources to solve the problem that you need to solve
and analyze the data you get from the solution. As a programmer you will
mostly be talking to the CPU and telling it what to
do next. Sometimes you will tell the CPU to use the main memory,
secondary memory, network, or the input/output devices.
You need to be the person who answers the CPU's What next?
question. But it would be very uncomfortable to shrink you
down to five mm tall and insert you into the computer just so you
could issue a command three billion times per second. So instead,
6584 you must write down your instructions in advance. 685
We call these stored instructions a program and the act
of writing these instructions down and getting the instructions to
be correct programming.
Understanding programming
In the rest of this book, we will try to turn you into a person
who is skilled in the art of programming. In the end you will be a
programmer --- perhaps not a professional programmer, but
at 8457 least 4528 you 8018 will have the skills to look at a data/information
analysis problem and develop a program to solve the problem.
7602 9410 2229
problem solving
4199 8469
In a sense, you need two skills to be a programmer:
First, you need to know the programming language (Python) -
you need to know the vocabulary and the grammar. You need to be able
to spell the words in this new language properly and know how to construct
5082 well-formed sentences in this new language. 8641
Second, you need to tell a story. In writing a story,
you combine words and sentences to convey an idea to the reader.
There is a skill and art in constructing the story, and skill in
story writing is improved by doing some writing and getting some
feedback. In programming, our program is the story and the
problem you are trying to solve is the idea.
itemize
Once you learn one programming language such as Python, you will
find it much easier to learn a second programming language such
as JavaScript or C++. The new programming language has very different
vocabulary and grammar but the problem-solving skills
will be the same across all programming languages.
900
You will learn the vocabulary and sentences of Python pretty quickly.
It will take longer for you to be able to write a coherent program
to solve a brand-new problem. We teach programming much like we teach
writing. We start reading and explaining programs, then we write
simple programs, and then we write increasingly complex programs over time.
At 2712 some 3012 point 426 you get your muse and see the patterns on your own
and can see more naturally how to take a problem and
write a program that solves that problem. And once you get
to that point, programming becomes a very pleasant and creative process.
6266 We start with the vocabulary and structure of Python programs. Be patient 9129
as the simple examples remind you of when you started reading for the first
time.
Words and sentences
Unlike human languages, the Python vocabulary is actually pretty small.
We call this vocabulary the reserved words. These are words that
have very special meaning to Python. When Python sees these words in
a Python program, they have one and only one meaning to Python. Later
as you write programs you will make up your own words that have meaning to
you called variables. You will have great latitude in choosing
your 8531 names 3466 for 8552 your variables, but you cannot use any of Python's
reserved words as a name for a variable.
When we train a dog, we use special words like
sit, stay, and fetch. When you talk to a dog and
don't use any of the reserved words, they just look at you with a
quizzical look on their face until you say a reserved word.
2089 For example, if you say, 9344
I wish more people would walk to improve their overall health,
what most dogs likely hear is,
blah blah blah walk blah blah blah blah.
That is because walk is a reserved word in dog language.
3028 732 5565
The reserved words in the language where humans talk to
Python include the following:
and del from not while
as 830 2758 7088 elif global or with
assert else if pass yield
break except import print
class exec in raise
continue finally is return
def for lambda try
That is it, and unlike a dog, Python is already completely trained.
When you say try, Python will try every time you say it without
fail.
We will learn these reserved words and how they are used in good time,
but for now we will focus on the Python equivalent of speak (in
human-to-dog language). The nice thing about telling Python to speak
is that we can even tell it what to say by giving it a message in quotes:
And we have even written our first syntactically correct Python sentence.
Our sentence starts with the reserved word print followed
by 1849 a 450 string 6344 of text of our choosing enclosed in single quotes.
8591 2937
Conversing with Python
5077 Now that we have a word and a simple sentence that we know in Python,
we need to know how to start a conversation with Python to test
our new language skills.
Before you can converse with Python, you must first install the Python
software on your computer and learn how to start Python on your
computer. That is too much detail for this chapter so I suggest
that you consult www.py4e.com where I have detailed
instructions and screencasts of setting up and starting Python
on Macintosh and Windows systems. At some point, you will be in
2640 a terminal or command window and you will type python and 7115
the Python interpreter will start executing in interactive mode
and appear somewhat as follows:
interactive mode
The >>> prompt is the Python interpreter's way of asking you, What
do you want me to do next? Python is ready to have a conversation with
you. All you have to know is how to speak the Python language.
Let's say for example that you did not know even the simplest Python language
words or sentences. You might want to use the standard line that astronauts
use when they land on a faraway planet and try to speak with the inhabitants
of the planet:
This is not going so well. Unless you think of something quickly,
the inhabitants of the planet are likely to stab you with their spears,
9115 put you on a spit, roast you over a fire, and eat you for dinner. 7407
At this point, you should also realize that while Python
is amazingly complex and powerful and very picky about
the syntax you use to communicate with it, Python is
696 not intelligent. You are really just having a conversation 9676
with yourself, but using proper syntax.
In 5525 a 7901 sense, 5481 when you use a program written by someone else
the conversation is between you and those other
programmers with Python acting as an intermediary. Python
is a way for the creators of programs to express how the
conversation is supposed to proceed. And
in just a few more chapters, you will be one of those
programmers using Python to talk to the users of your program.
Before we leave our first conversation with the Python
interpreter, you should probably know the proper way
to say good-bye when interacting with the inhabitants
of Planet Python:
You will notice that the error is different for the first two
incorrect attempts. The second error is different because
if 4289 is 7676 a 8873 reserved word and Python saw the reserved word
and thought we were trying to say something but got the syntax
of the sentence wrong.
Terminology: interpreter and compiler
Python is a high-level language intended to be relatively
straightforward for humans to read and write and for computers
to read and process. Other high-level languages include Java, C++,
PHP, Ruby, Basic, Perl, JavaScript, and many more. The actual hardware
inside the Central Processing Unit (CPU) does not understand any
of these high-level languages.
The CPU understands a language we call machine language. Machine
language is very simple and frankly very tiresome to write because it
is represented all in zeros and ones.
Machine language seems quite simple on the surface, given that there
are only zeros and ones, but its syntax is even more complex
and far more intricate than Python. So very few programmers ever write
machine language. Instead we build various translators to allow
programmers to write in high-level languages like Python or JavaScript
and these translators convert the programs to machine language for actual
execution by the CPU.
Since machine language is tied to the computer hardware, machine language
is not portable across different types of hardware. Programs written in
high-level languages can be moved between different computers by using a
different interpreter on the new machine or recompiling the code to create
a machine language version of the program for the new machine.
These programming language translators fall into two general categories:
(one) interpreters and (two) compilers.
An interpreter reads the source code of the program as written by the
programmer, parses the source code, and interprets the instructions on the fly.
Python is an interpreter and when we are running Python interactively,
we can type a line of Python (a sentence) and Python processes it immediately
and is ready for us to type another line of Python.
Some of the lines of Python tell Python that you want it to remember some
value for later. We need to pick a name for that value to be remembered and
we can use that symbolic name to retrieve the value later. We use the
term variable to refer to the labels we use to refer to this stored data.
In this example, we ask Python to remember the value six and use the label x
so we can retrieve the value later. We verify that Python has actually remembered
the value using x and multiply
it by seven and put the newly computed value in y. Then we ask Python to print out
the value currently in y.
Even though we are typing these commands into Python one line at a time, Python
is treating them as an ordered sequence of statements with later statements able
to retrieve data created in earlier statements. We are writing our first
simple paragraph with four sentences in a logical and meaningful order.
2654 It is the nature of an interpreter to be able to have an interactive conversation
as shown above. A compiler needs to be handed the entire program in a file, and then
it runs a process to translate the high-level source code into machine language
and then the compiler puts the resulting machine language into a file for later
execution.
If you have a Windows system, often these executable machine language programs have a
suffix of .exe or .dll which stand for executable and dynamic link
library respectively. In Linux and Macintosh, there is no suffix that uniquely marks
a file as executable.
If 908 you 3436 were 9913 to open an executable file in a text editor, it would look
completely crazy and be unreadable:
It is not easy to read or write machine language, so it is nice that we have
compilers that allow us to write in high-level
languages like Python or C.
Now at this point in our discussion of compilers and interpreters, you should
be wondering a bit about the Python interpreter itself. What language is
it written in? Is it written in a compiled language? When we type
python, what exactly is happening?
The Python interpreter is written in a high-level language called C.
You can look at the actual source code for the Python interpreter by
going to www.python.org and working your way to their source code.
So Python is a program itself and it is compiled into machine code.
When you installed Python on your computer (or the vendor installed it),
you copied a machine-code copy of the translated Python program onto your
system. In Windows, the executable machine code for Python itself is likely
in a file.
That is more than you really need to know to be a Python programmer, but
sometimes it pays to answer those little nagging questions right at
the beginning.
Writing a program
Typing commands into the Python interpreter is a great way to experiment
with Python's features, but it is not recommended for solving more complex problems.
When we want to write a program,
we use a text editor to write the Python instructions into a file,
which is called a script. By
convention, Python scripts have names that end with .py.
script
To execute the script, you have to tell the Python interpreter
the name of the file. In a Unix or Windows command window,
you 2147 would 9472 type 6979 python hello.py as follows:
We call the Python interpreter and tell it to read its source code from
the file hello.py instead of prompting us for lines of Python code
interactively.
974 You will notice that there was no need to have quit() at the end of 6114
the Python program in the file. When Python is reading your source code
from a file, it knows to stop when it reaches the end of the file.
What is a program?
The definition of a program at its most basic is a sequence
of Python statements that have been crafted to do something.
Even our simple hello.py script is a program. It is a one-line
program and is not particularly useful, but in the strictest definition,
it is a Python program.
It might be easiest to understand what a program is by thinking about a problem
that a program might be built to solve, and then looking at a program
that would solve that problem.
Lets say you are doing Social Computing research on Facebook posts and
you are interested in the most frequently used word in a series of posts.
You could print out the stream of Facebook posts and pore over the text
looking for the most common word, but that would take a long time and be very
mistake prone. You would be smart to write a Python program to handle the
task quickly and accurately so you can spend the weekend doing something
fun.
For example, look at the following text about a clown and a car. Look at the
text and figure out the most common word and how many times it occurs.
Then imagine that you are doing this task looking at millions of lines of
text. Frankly it would be quicker for you to learn Python and write a
Python program to count the words than it would be to manually
scan the words.
The even better news is that I already came up with a simple program to
find the most common word in a text file. I wrote it,
tested it, and now I am giving it to you to use so you can save some time.
You don't even need to know Python to use this program. You will need to get through
Chapter ten of this book to fully understand the awesome Python techniques that were
used to make the program. You are the end user, you simply use the program and marvel
at its cleverness and how it saved you so much manual effort.
You simply type the code
into a file called words.py and run it or you download the source
code from http://www.py4e.com/code3/ and run it.
This is a good example of how Python and the Python language are acting as an intermediary
between you (the end user) and me (the programmer). Python is a way for us to exchange useful
instruction sequences (i.e., programs) in a common language that can be used by anyone who
installs Python on their computer. So neither of us are talking to Python,
instead we are communicating with each other through Python.
The building blocks of programs
In the next few chapters, we will learn more about the vocabulary, sentence structure,
paragraph structure, and story structure of Python. We will learn about the powerful
capabilities of Python and how to compose those capabilities together to create useful
programs.
There are some low-level conceptual patterns that we use to construct programs. These
constructs are not just for Python programs, they are part of every programming language
from machine language up to the high-level languages.
description
Get data from the outside world. This might be
reading data from a file, or even some kind of sensor like
a microphone or GPS. In our initial programs, our input will come from the user
typing data on the keyboard.
Display the results of the program on a screen
or store them in a file or perhaps write them to a device like a
speaker to play music or speak text.
Perform statements one after
another in the order they are encountered in the script.
Check for certain conditions and
then execute or skip a sequence of statements.
Perform some set of statements
repeatedly, usually with
some variation.
Write a set of instructions once and give them a name
and then reuse those instructions as needed throughout your program.
description
It sounds almost too simple to be true, and of course it is never
so simple. It is like saying that walking is simply
putting one foot in front of the other. The art
of writing a program is composing and weaving these
basic elements together many times over to produce something
that is useful to its users.
The word counting program above directly uses all of
these patterns except for one.
What could possibly go wrong?
As we saw in our earliest conversations with Python, we must
communicate very precisely when we write Python code. The smallest
deviation or mistake will cause Python to give up looking at your
program.
Beginning programmers often take the fact that Python leaves no
room for errors as evidence that Python is mean, hateful, and cruel.
While Python seems to like everyone else, Python knows them
personally and holds a grudge against them. Because of this grudge,
Python takes our perfectly written programs and rejects them as
unfit just to torment us.
There is little to be gained by arguing with Python. It is just a tool.
It has no emotions and it is happy and ready to serve you whenever you
need it. Its error messages sound harsh, but they are just Python's
call for help. It has looked at what you typed, and it simply cannot
understand what you have entered.
Python is much more like a dog, loving you unconditionally, having a few
key words that it understands, looking you with a sweet look on its
face (>>>), and waiting for you to say something it understands.
When Python says SyntaxError: invalid syntax, it is simply wagging
its tail and saying, You seemed to say something but I just don't
understand what you meant, but please keep talking to me (>>>).
As your programs become increasingly sophisticated, you will encounter three
general types of errors:
description
These are the first errors you will make and the easiest
to fix. A syntax error means that you have violated the grammar rules of Python.
Python does its best to point right at the line and character where
it noticed it was confused. The only tricky bit of syntax errors is that sometimes
the mistake that needs fixing is actually earlier in the program than where Python
noticed it was confused. So the line and character that Python indicates in
a syntax error may just be a starting point for your investigation.
A logic error is when your program has good syntax but there is a mistake
in the order of the statements or perhaps a mistake in how the statements relate to one another.
A good example of a logic error might be, take a drink from your water bottle, put it
in your backpack, walk to the library, and then put the top back on the bottle.
A semantic error is when your description of the steps to take
is syntactically perfect and in the right order, but there is simply a mistake in
the program. The program is perfectly correct but it does not do what
you intended for it to do. A simple example would
be if you were giving a person directions to a restaurant and said, ...when you reach
the intersection with the gas station, turn left and go one mile and the restaurant
is a red building on your left. Your friend is very late and calls you to tell you that
they are on a farm and walking around behind a barn, with no sign of a restaurant.
Then you say did you turn left or right at the gas station? and
they say, I followed your directions perfectly, I have
them written down, it says turn left and go one mile at the gas station. Then you say,
I am very sorry, because while my instructions were syntactically correct, they
sadly contained a small but undetected semantic error..
description
Again in all three types of errors, Python is merely trying its hardest to
do exactly what you have asked.
The learning journey
As you progress through the rest of the book, don't be afraid if the concepts
don't seem to fit together well the first time. When you were learning to speak,
it was not a problem for your first few years that you just made cute gurgling noises.
And it was OK if it took six months for you to move from simple vocabulary to
simple sentences and took five or six more years to move from sentences to paragraphs, and a
few more years to be able to write an interesting complete short story on your own.
We want you to learn Python much more rapidly, so we teach it all at the same time
over the next few chapters.
But it is like learning a new language that takes time to absorb and understand
before it feels natural.
That leads to some confusion as we visit and revisit
topics to try to get you to see the big picture while we are defining the tiny
fragments that make up that big picture. While the book is written linearly, and
if you are taking a course it will progress in a linear fashion, don't hesitate
to be very nonlinear in how you approach the material. Look forwards and backwards
and read with a light touch. By skimming more advanced material without
fully understanding the details, you can get a better understanding of the why?
of programming. By reviewing previous material and even redoing earlier
exercises, you will realize that you actually learned a lot of material even
if the material you are currently staring at seems a bit impenetrable.
Usually when you are learning your first programming language, there are a few
wonderful Ah Hah! moments where you can look up from pounding away at some rock
with a hammer and chisel and step away and see that you are indeed building
a beautiful sculpture.
If something seems particularly hard, there is usually no value in staying up all
night and staring at it. Take a break, take a nap, have a snack, explain what you
are having a problem with to someone (or perhaps your dog), and then come back to it with
fresh eyes. I assure you that once you learn the programming concepts in the book
you will look back and see that it was all really easy and elegant and it simply
took you a bit of time to absorb it.
42
The end"""
total=0
for line in text:
num = re.findall('[0-9]+', line)
if len(num)==0:
continue
else:
for value in num:
total=total+int(value)
print(total)
it runs well
http://py4e-data.dr-chuck.net/regex_sum_1398518.txt
Need help, sum ends with 534
thank you in advance!
import re
name = input('Enter the file name:')
hand = open(name)
nunlist = list()
tol = 0
for line in hand:
line = line.rstrip()
print(line)
numlist = re.findall ('[0-9]+', line)
print(numlist)
for num in numlist:
# print(num)
tol = tol + int(num)
print(tol)
Can anyone help I have no idea how to get the file to open mine keeps erroring, I know I have the correct code but I cant open the file. If anyone can take a look at my file and send the sum that would be greatly appreciated!
Guys, the best way to solve this task is to open pycharm, create a txt with the text in Actual data, then make your code...read the file, look for integers using the re.findall(), look for a regular expression of '[0-9]+' and then converting the extracted strings to integers and summing up the integers and RUN. You will find the number to put into the box Turn in Assignment - sum.
http://py4e-data.dr-chuck.net/regex_sum_1045167.txt
It's a little complicated, sometimes the output is zero, and sometimes there is a problem in the absence of the file!
Are there any good ideas?
(ends with 751)
codigo abaixo esta funcionando perfeitamente,
obs: ele funciona com o segundo link do texto.
transforme o texto em (arquivo.txt) e coloque o codigo pra rodar que ira funcionar
nao se esqueca de installar o regex com o pip install regex
import re
hand = open('título.txt') #abrir arquivo
x=list() #achar numeros
for line in hand:
y = re.findall('[0-9]+',line)
x = x+y
sum=0
for z in x: #somar numeros
sum = sum + int(z)
print(sum) #resultado
can you please tell me how to find the sum in terminal mac?
Or where do yyou find the sum if i write my code in atom?
Thank you
import re
hand = open('Name of the file.extension') #you need to put the terminal in the directory of the file (Best of lucks)
numbs=[]
tot=0
for line in hand:
x = re.findall('[0-9]+', line)
if len(x) > 0:
numbs.append(x)
for elements in numbs:
nums=list(map(int, elements))
tot= tot + sum(nums)
print(tot)
I see a lot of people just copying the text without blocking it as code. Use ``` at the top and bottom of your code and it becomes cleaner. Also, uploading images is fine but still... can't copy that and we are lazy...
import re
fname = open('sum_42.txt')
data = fname.read()
for line in data:
lst = re.findall('[0-9]+', data)
i_lst = [int(i) for i in lst]
print(sum(i_lst))
We provide two files for this assignment. One is a sample file where we give you the sum for your testing and the other is the actual data you need to process for the assignment.
Sample data: http://py4e-data.dr-chuck.net/regex_sum_42.txt (There are 90 values with a sum=445833) Actual data: http://py4e-data.dr-chuck.net/regex_sum_1087328.txt (There are 80 values and the sum ends with 269) i need help the sum end with 269 i have the python code
420269
I'm having an issue with procuring the sum;
I've come to this code, but each time I enter it I get walls of errors and nothing comes back
import re
hand = open("regex_sum_1699424.txt")
x=list()
for line in hand:
y = re.findall('[0-9]+',line)
x = x+y
sum=0
for z in x:
sum = sum + int(z)
print(sum)
I've tried everyone's code on this thread and I either get "0" or "35" . What is the f-ing solution to this thing. I've been stuck for a week and a half already
No matter what code I use, I get the same sum amount of 34294980...
What am I supposed to do to get the actual number that ends in 695?? :(
`
import re
Open the file
with open('regex_sum.txt', 'r') as file:
# Read the contents of the file
file_contents = file.read()
# Find all integers using regular expression
integers = re.findall(r'\d+', file_contents)
# Convert extracted strings to integers
integers = [int(i) for i in integers]
# Sum up the integers
sum_integers = sum(integers)
# Print the result
print(f"The sum of all integers in the file is: {sum_integers}")
`
Finding Numbers in a Haystack
In this assignment you will read through and parse a file with text and numbers. You will extract all the numbers in the file and compute the sum of the numbers.
Data Files
We provide two files for this assignment. One is a sample file where we give you the sum for your testing and the other is the actual data you need to process for the assignment.
Sample data: http://py4e-data.dr-chuck.net/regex_sum_42.txt (There are 90 values with a sum=445833)
Actual data: http://py4e-data.dr-chuck.net/regex_sum_1780792.txt (There are 83 values and the sum ends with 715)
These links open in a new window. Make sure to save the file into the same folder as you will be writing your Python program. Note: Each student will have a distinct data file for the assignment - so only use your own data file for analysis.
Data Format
The file contains much of the text from the introduction of the textbook except that random numbers are inserted throughout the text. Here is a sample of the output you might see:
Why should you learn to write programs? 7746
12 1929 8827
Writing programs (or programming) is a very creative
7 and rewarding activity. You can write programs for
many reasons, ranging from making your living to solving
8837 a difficult data analysis problem to having fun to helping 128
someone else solve a problem. This book assumes that
everyone needs to know how to program ...
The sum for the sample text above is 27486. The numbers can appear anywhere in the line. There can be any number of numbers in each line (including none).
Handling The Data
The basic outline of this problem is to read the file, look for integers using the re.findall(), looking for a regular expression of '[0-9]+' and then converting the extracted strings to integers and summing up the integers.
Turn in Assignent
Enter the sum from the actual data and your Python code below:
Sum:
(ends with 715)
try this it is working
import re
fname = open(r'C:\Users\Lenovo\Desktop\Practice\owl.txt')
lst = list()
total = 0
for line in fname:
string_num = re.findall("[0-9]+", line)
if len(string_num) == 0:
continue
else:
for value in string_num:
total = total + int(value)
print(total)
#The total value printed should be one that ends with 97
Hola
esta es la solucion que se necesita para llegar al total de palabras
Codigo que necesitas:
import re
import urllib.request
url = 'http://py4e-data.dr-chuck.net/regex_sum_1747000.txt'
response = urllib.request.urlopen(url)
data = response.read().decode('utf-8')
total = 0
string_nums = re.findall('[0-9]+', data)
for value in string_nums:
total += int(value)
print(total)
The following codes worked. Sum: 373584
import re
import urllib.request
Read the file from the URL
url = "http://py4e-data.dr-chuck.net/regex_sum_1786009.txt"
response = urllib.request.urlopen(url)
data = response.read().decode()
Find all numbers in the file using regular expression
numbers = re.findall('[0-9]+', data)
Convert the extracted strings to integers and calculate the sum
total_sum = sum(int(num) for num in numbers)
print("Sum:", total_sum)
import re
hand = open("datafile.txt")
num_list = list()
for line in hand:
num= re.findall('[0-9]+', line)
num_list = num_list+num
sum=0
for x in num_list:
sum += int(x)
print(sum)
Actual data: http://py4e-data.dr-chuck.net/regex_sum_1867584.txt (There are 121 values and the sum ends with 650)
Need help for this question, sum ends with 650
Hey guys, I've been giving a try to the problem and I got with this solution. Hope it can run without a problem :D
#practice file import re
user=input('Enter a file: ') try: file=open(user) except: print('File cannot be open') exit()
x=[]
sum=0
for line in file:
line=line.rstrip()
num=re.findall('[0-9]+', line)
for n in num:
sum=sum + int(n)
print(sum)
Actually, i´ve got some problems with this exercise (don´t know why but from the beginning it was a problem to make MS/DOS read it properly), here I got an alternative solution that gives me the exact sum
import re file_name=r'-Put Acces Route-' with open(file_name,'r', encoding='utf-8') as f: x=list() for line in f: y = re.findall('([0-9]+)',line) x = x+y sum=0 for z in x: sum = sum + int(z) print(sum)
i added a parenthesis on the re.findall expression and it worked perfectly
Just run the code in Colab and upload your txt file by copy the content and save it as txt and call it in to the open function you should get your answer
import re
sum = 0
file = open('regex_sum_97406', 'r')
for line in file:
numbers = re.findall('[0-9]+', line)
if not numbers:
continue
else:
for number in numbers:
sum += int(number)
print(sum)
Here is the really working code
import re
m=list()
hand=open('regex_sum_1876332.txt')
for line in hand:
y=re.findall('[0-9]+',line)
for i in range(0,len(y)):
m.append(y[i])
sum=0
for i in range(0,len(m)):
sum=sum+int(m[i])
print(sum)
This week’s project will focus on extracting meaningful information from a typical log file.
Please use the file redhat.txt Download redhat.txtfor this assignment.
Your assignment is to develop a python script that:
Prompts the user for a file to process.
Open the file and iterate through each line of the file, catch and report any errors that occur.
For each line in the file:
If the line identifies a specific worm that was detected, then record the unique name of the worm.
Keep track of the number of occurrences of each unique worm.
Once all the lines have been processed produce a prettytable result that includes the name of each unique worm and number of occurrences that were identified. The prettytable should be sorted by highest occurring worms.
Your script must be commented in detail.
Submit one file logScan.py. In addition, submit a screenshot of successful execution of the script.
Any help as soon as possible
I have trouble understanding how to do this, I have spent a few days trying to find out where I went wrong but can't find it.