Pandas read text file with delimiter

Using Pandas to read in txt file using delimiters creates NaNs columns. Ask Question Asked 5 years, 2 months ago. Active 5 years, 2 months ago. Viewed 13k times 0. I am trying to read in a text file into pandas but its creating NaNs for all for all of the rows. I tried to use a delimiter to break up the variables that are separated by a \ but this is not working correctly. Here is what the. Example 4 : Using the read_csv() method with regular expression as custom delimiter. Let's suppose we have a csv file with multiple type of delimiters such as given below. totalbill_tip, sex:smoker, day_time, size 16.99, 1.01:Female|No, Sun, Dinner, Load single tab separated text file (tsv) import pandas as pd #tab separated file df = pd. read_csv ('data_deposits.tsv', sep = ' \t ') print (df. head (3)) Output for code: --[ df head 3 ]----- firstname lastname city age deposit 0 Herman Sanchez Miami 52 9300 1 Phil Parker Miami 45 5010 2 Bradie Garnett Denver 36 6300 -----The output above shows that '\t' and a tsv file behaves similar to.

read_table() Method to Load Text File to Pandas dataframe; We will introduce the methods to load the data from a txt file with Pandas dataframe. We will also go through the available options. First, we will create a simple text file called sample.txt and add the following lines to the file: 45 apple orange banana mango 12 orange kiwi onion tomat pandas.read_csv ¶ pandas.read_csv e.g. when you have a malformed file with delimiters at the end of each line. usecols list-like or callable, optional. Return a subset of the columns. If list-like, all elements must either be positional (i.e. integer indices into the document columns) or strings that correspond to column names provided either by the user in names or inferred from the. read_csv method reads delimited files in Python as data frames or tables the data frame is pandas' main object holding the data and you can apply methods on that data frame data_frame1 = pandas.read_csv (path of the file) To view the data frame, use head method as shown belo pandas.read_csv(filepath_or_buffer, sep=', ', delimiter=None,..) Let's assume that we have text file with content like: 1 Python 35 2 Java 28 3 Javascript 15 Next code examples shows how to convert this text file to pandas dataframe. Code example for pandas.read_fwf: import pandas as pd df = pd.read_fwf('myfile.txt') Code example for pandas.

Learn how to read CSV file using python pandas. CSV (Comma-Separated Values) file format is generally used for storing data. Pandas is the most popular data manipulation package in Python, and DataFrames are the Pandas data type for storing tabular 2D data. Reading data from csv files, and writing data to CSV files using Python is an important skill for any analyst or data scientist In this tutorial, I will explain how to read text files using Python built-in functions. The examples in the coming section show opening a text file, reading a text file, and reading line by line by different modules. How to open and read a text file? Before parsing a file in Python program, you need to open it. For that, use the open() function with mode and other optional arguments. For. A tab-delimited file is a well-known and widely used text format for data exchange. By using a structure similar to that of a spreadsheet, it also allows users to present information in a way that is easy to understand and share across applications - including relational database management systems. The IANA standard for tab-separated values requires the first line of the file to contain the. Prerequisites: Access modes; Open a file; Close a file. Python provides inbuilt functions for creating, writing and reading files. There are two types of files that can be handled in python, normal text files and binary files (written in binary language, 0s and 1s).In this article, we are going to study about reading line by line from a file

text - Using Pandas to read in txt file using delimiters

  1. Reading a Text File in Python. There are actually a number of ways to read a text file in Python, not just one. If you need to extract a string that contains all characters in the file, you can use the following python file operation: file.read() The full code to work with this method will look something like this: file = open(testfile.txt, r) print file.read() Please be sure you.
  2. A CSV file is a type of plain text file that contains values that are separated by a delimiter. The .csv extension is short for comma separated value, because the delimter is often a comma. Excel can open CSV files. Web Apps allow export of data into a CSV file. By default a csv file has rows and columns, as it's a representation of tabular data. You can see every value as a cell and every.
  3. Python will read data from a text file and will create a dataframe with rows equal to number of lines present in the text file and columns equal to the number of fields present in a single line. See below example for better understanding. Original Text File. Dataframe created from upper text file will look as follows: CSV File formed from given text file. Note: The first column in dataframe is.
  4. When opening very large files, first concern would be memory availability on your system to avoid swap on slower devices (i.e. disk). Pandas is shipped with built-in reader methods. For example the pandas.read_table method seems to be a good way to read (also in chunks) a tabular data file. In the specific case

csv.writer (csvfile, dialect='excel', **fmtparams) ¶ Return a writer object responsible for converting the user's data into delimited strings on the given file-like object. csvfile can be any object with a write() method. If csvfile is a file object, it should be opened with newline='' 1.An optional dialect parameter can be given which is used to define a set of parameters specific to a. Note 2: If you are wondering what's in this data set - this is the data log of a travel blog. This is a log of one day only (if you are a JDS course participant, you will get much more of this data set on the last week of the course ;-)). I guess the names of the columns are fairly self-explanatory Reading and Writing CSV Files in Python. A CSV file (Comma Separated Values file) is a delimited text file that uses a comma , to separate values. It is used to store tabular data, such as a spreadsheet or database. Python's Built-in csv library makes it easy to read, write, and process data from and to CSV files. Open a CSV File. When you want to work with a CSV file, the first thing to do. I've been reading a tab-delimited data file in Windows with Pandas/Python without any problems. The data file contains notes in first three lines and then follows with a header. df = pd. read_csv (myfile, sep = '\t', skiprows =(0, 1, 2), header =(0)) I'm now trying to read this file with my Mac. (My first time using Python on Mac.) I get the.

read_csv() delimiter is a comma character; read_table() is a delimiter of tab \t. Related course: Data Analysis with Python Pandas. Read CSV Read csv with Python. The pandas function read_csv() reads in values, where the delimiter is a comma character. You can export a file into a csv file in any modern office suite including Google Sheets Python's String class has a method called split() which takes a delimiter as optional argument. Default delimiter for it is whitespace. You can use it in the following way: Default delimiter for it is whitespace Reading CSV Files With csv. Reading from a CSV file is done using the reader object. The CSV file is opened as a text file with Python's built-in open() function, which returns a file object. This is then passed to the reader, which does the heavy lifting. Here's the employee_birthday.txt file In this challenge we are going to focus on accessing a text file in Python to read the content of the file line by line. Challenge. Your first challenge consists of writing a Python script that will read the following text file, one line at a time and display the content of each line on screen. My Playlist.txt . To read the content of a text file line by line we are going to use a for loop.

Read an Excel file into a pandas DataFrame. Supports xls, xlsx, xlsm, xlsb, Note that this parameter is only necessary for columns stored as TEXT in Excel, any numeric columns will automatically be parsed, regardless of display format. comment str, default None. Comments out remainder of line. Pass a character or characters to this argument to indicate comments in the input file. Any data. Delimiters in Text Fields - Quotechar. One complication in creating CSV files is if you have commas, semicolons, or tabs actually in one of the text fields that you want to store. In this case, it's important to use a quote character in the CSV file to create these fields. The quote character can be specified in Pandas.read_csv using the quotechar argument. By default (as with many.

This code that I wrote is supposed to read/write a pipe-delimited file line by line to a new file with some simple text manipulation. (It also adds two new columns) and publishes a Status Update ever 100,000 lines to keep me updated on how close it is to completion. I previously posted this code on StackOverflow to get help with incrementing, and someone mentioned that it would be faster if. If you have a malformed file with delimiters at the end of each line, you might consider index_col=False to force pandas to _not_ use the first column as the index (row names) names : array-like, default Non Python: How to read and write CSV files. Updated on Jan 07, 2020 What is CSV File? # CSV (Comma-separated values) is a common data exchange format used by the applications to produce and consume data. Some other well-known data exchange formats are XML, HTML, JSON etc. A CSV file is a simple text file where each line contains a list of values (or fields) delimited by commas. Although the term.

How to read a CSV file to a Dataframe with custom

  1. We call a text file a delimited text file if it contains text in DSV format. For example, the file dollar_euro.txt is a delimited text file and uses tabs (\t) as delimiters. Reading CSV and DSV Files. Pandas offers two ways to read in CSV or DSV files to be precise: DataFrame.from_csv; read_csv ; There is no big difference between those two functions, e.g. they have different default values.
  2. In just a few clicks you can have natural sounding Voice-overs for your videos. Make Listeners believe it's a real human talkin
  3. Pandas - How to read text files delimited with fixed widths. With Python Pandas library it is possible to easily read fixed width text files, for example: In this case, the text file has its first 4 lines without data and the 5th line with the header. The header and the data are delimeted with fixed char widths, being the widths sizes as following
  4. Example 13 : Read file with semi colon delimiter mydata09 = pd.read_csv(file_path, sep = ';') Using sep= parameter in read_csv( ) function, you can import file with any delimiter other than default comma. In this case, we are using semi-colon as a separator
  5. 2#David Lee#Editor 3#Lisa Ray#Author In this case, we can specify the sep parameter while calling read_csv() function. import pandas emp_df = pandas.read_csv.
  6. Read CSV with Pandas. To read the csv file as pandas.DataFrame, use the pandas function read_csv() or read_table(). The difference between read_csv() and read_table() is almost nothing. In fact, the same function is called by the source: read_csv() delimiter is a comma character; read_table() is a delimiter of tab \t

Import tab and space separated data files in Pandas

  1. I try to read the file into pandas. The file has values separated by space, but with different number of spaces I tried: pd.read_csv('file.csv', delimiter=' ') but it doesn't work. python; pandas; dataframe . 1 Answer. 0 votes . answered Aug 31, 2019 by Shlok Pandey (38.9k points) Add this:.
  2. g.
  3. I extracted the required data from it into a new file named new.txt I want to save this data in a csv file so that i get the columns and rows properly for each of the headers defined in the file. I am posting my code and the text file contents here...I am not able to get it in the proper form as we get it in excel. Kindly help..I am using python 2.7 and want to do this without using pandas.
  4. Read a File Line-by-Line in Python. The readline() method helps to read just one line at a time, and it returns the first line from the file given. Here, we will make use of readline() to read all the lines from the file given. The file that will read is demo.txt. The contents of the file are
  5. Hi. I would like help to: 1-I need know why I cannot read a text file with pandas.2-If possible read this file, get all rows that have C100 value and insert into new xls file. Size file is 12MB Link to my file

Load Data From Text File in Pandas Delft Stac

Python Regular Expression: Exercise-47 with Solution. Write a Python program to split a string with multiple delimiters. Note : A delimiter is a sequence of one or more characters used to specify the boundary between separate, independent regions in plain text or other data streams. An example of a delimiter is the comma character, which acts. I have a large text file(.txt) with delimited data , delimiter (|) which contain numbers, texts, empty cells i want to open it in matlab , to be something like thi from pandas import read_csv: pandas_data = read_csv ('test.txt', delimiter = ' \t ') print (pandas_data) # Now say I want to plot something, you bring in the plotting libary. import matplotlib. pyplot as plt # plot x^2: plt. figure plt. plot (basic_data [:, 0], basic_data [:, 1]) plt. title ('From NumPy + matplotlib') # Or use pandas: plt. When loading data with Pandas, the read_csv function is used for reading any delimited text file, and by changing the delimiter using the sep parameter. Delimiters in Text Fields - Quotechar. One complication in creating CSV files is if you have commas, semicolons, or tabs actually in one of the text fields that you want to store. In this case, it's important to use a quote character in the CSV file to create these fields

pandas.read_csv — pandas 1.2.0 documentatio

We call a text file a delimited text file if it contains text in DSV format. For example, the file dollar_euro.txt is a delimited text file and uses tabs (\t) as delimiters. Reading CSV and DSV Files. Pandas offers two ways to read in CSV or DSV files to be precise: DataFrame.from_csv; read_cs spark.read.text. #Note: spark.read.text returns a DataFrame. Each line in a text file represents a record in DataFrame with just one column value.To convert into multiple columns, we will. There are many ways of reading and writing CSV files in Python.There are a few different methods, for example, you can use Python's built in open() function to read the CSV (Comma Separated Values) files or you can use Python's dedicated csv module to read and write CSV files. Depending on your use-case, you can also use Python's Pandas library to read and write CSV files Text files are one of the most common file formats to store data. Python makes it very easy to read data from text files. Python provides the open() function to read files that take in the file path and the file access mode as its parameters. For reading a text file, the file access mode is 'r'. I have mentioned the other access modes below Use pd.read_csv() without using any keyword arguments to read file_messy into a pandas DataFrame df1.; Use .head() to print the first 5 rows of df1 and see how messy it is. Do this in the IPython Shell first so you can see how modifying read_csv() can clean up this mess.; Using the keyword arguments delimiter=' ', header=3 and comment='#', use pd.read_csv() again to read file_messy into a new.

Files for detect-delimiter, version 0.1.1; Filename, size File type Python version Upload date Hashes; Filename, size detect_delimiter-.1.1-py3-none-any.whl (3.6 kB) File type Wheel Python version py3 Upload date Jul 29, 2018 Hashes Vie Step 3: Convert the text file to CSV using Python. Finally, you may use the template below in order to facilitate the conversion of your text file to CSV: import pandas as pd read_file = pd.read_csv (r'Path where the Text file is stored\File name.txt') read_file.to_csv (r'Path where the CSV will be saved\File name.csv', index=None) For our example

python 3

Reading Delimited text and CSV files with the help of pandas

  1. Read in a tab-delimited (or any separator-delimited like CSV) file and store each column in a list that can be referenced from a dictionary. The keys for the dictionary are the headings for the columns (if any). All data is read in as strings
  2. Basic¶ filepath_or_buffer various. Either a path to a file (a str, pathlib.Path, or py._path.local.LocalPath), URL (including http, ftp, and S3 locations), or any object with a read() method (such as an open file or StringIO).. sep str, defaults to ',' for read_csv(), \t for read_table(). Delimiter to use. If sep is None, the C engine cannot automatically detect the separator, but the Python.
  3. Reading from a File Credit: Luther Blissett Problem You want to read text or data from a file. Solution Here's the most convenient way to read all of the file's - Selection from Python Cookbook [Book

This context manager opens the names.txt file for read/write operations and assigns that file object to the variable f. This variable is used in the body of the context manager to refer to the file object. Trying to Read it Again. After the body has been completed, the file is automatically closed, so it can't be read without opening it again. But wait! We have a line that tries to read it. Pandas : Read csv file to Dataframe with custom delimiter in Python; Python: How to delete specific lines in a file in a memory-efficient way? Python: Read CSV into a list of lists or tuples or dictionaries | Import csv to list ; Python: Read a CSV file line by line with or without header; Python: Read a file in reverse order line by line; Python: Get last N lines of a text file, like tail.

pandas #2: Reading files and basic DataFrame operations - DEV

To load data into Pandas DataFrame from a CSV file, use pandas.read_csv() function. In this tutorial, we will learn different scenarios that occur while loading data from CSV to Pandas DataFrame. Example 1: Load CSV Data into DataFrame. In this example, we take the following csv file and load it into a DataFrame using pandas.read_csv() method. data.csv name,physics,chemistry,algebra Somu,68,84. Introduction. Just like with all other types of files, you can use the Pandas library to read and write Excel files using Python as well. In this short tutorial, we are going to discuss how to read and write Excel files via DataFrames.. In addition to simple reading and writing, we will also learn how to write multiple DataFrames into an Excel file, how to read specific rows and columns from a. 1.2 wholeTextFiles() - Read text files into RDD of Tuple. sparkContext.wholeTextFiles() reads a text file into PairedRDD of type RDD[(String,String)] with the key being the file path and value being contents of the file. This method also takes the path as an argument and optionally takes a number of partitions as the second argument Row number(s) to use as the column names, and the start of the data. Defaults to 0 if no names passed, otherwise None.Explicitly pass header=0 to be able to replace existing names. The header can be a list of integers that specify row locations for a multi-index on the columns E.g. [0,1,3] I've a dat file in the following format which I'm trying to load using pandas. 28::Persuasion (1995)::Romance 29::City of Lost Children, The (1995)::Adventure|Sci-Fi 30::Shanghai Triad (Yao a yao Stack Exchange Network. Stack Exchange network consists of 176 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge.

text/CSV file to dataframe with Python and pandas - Softhint

In this post, we will discuss about how to read CSV file using pandas, an awesome library to deal with data written in Python. CSV file doesn't necessarily use the comma , character for fiel Python build-in functions (read(), readline(), and readlines())In general, a t ext file (.txt) is the most common file we will deal with.Text files are structured as a sequence of lines, where each line includes a sequence of characters. Let's assume we need to import in Python the following text file (sample.txt).Country/Region Mainland China Japan Singapore Hong Kong Japan Thailand South.

Tutorial de Python pandas: Iniciando con DataFrames - LikeCounting number of words in a text file - Java - YouTube

Read text file. We can also use the read_csv method of pandas to read from a text file; consider the following example: import pandas pandas.read_csv('myFile.txt') The myFile.txt looks like the following: The output of the above code will be: Pandas treats the file as a CSV file because we have comma-separated elements. The file also may use. You should not use CGI anymore. Python doc Wrote:CGI is going to be deprecated in Python 3.8 and removed in 3.10The modern and better way is to use eg Flask. Here a couple of Thread you can look at. Read CSV data into Pandas DataSet From Variable Flask

PySpark supports reading a CSV file with a pipe, comma, tab, space, or any other delimiter/separator files. Note: PySpark out of the box supports to read files in CSV, JSON, and many more file formats into PySpark DataFrame. Table of contents: PySpark Read CSV file into DataFram csv - reading and writing delimited text data The csv library is Python's built-in, no-fuss way of turning raw text into a list of lists, or list of dicts. If you can open a text file for reading, you can convert it into data via csv 's methods. Conversely, if you have lists and dicts in Python, you can serialize them to be stored as text, which means you can port your data objects in. pandas Library: The pandas library is one of the open-source Python libraries that provides high-performance, convenient data structures and data analysis tools and techniques for Python programming. Reading a CSV File Format in Python: Consider the below CSV file named 'Giants.CSV' Reading from a file. There are three ways to read data from a text file. read() : Returns the read bytes in form of a string. Reads n bytes, if no n specified, reads the entire file. File_object.read([n]) readline() : Reads a line of the file and returns in form of a string.For specified n, reads at most n bytes. However, does not reads more.

How to skip rows while reading csv file using Pandas

np.fromfile is commonly used when working with data stored in binary files, with no delimiters. It can read plain text files but does so with a lot of issues (go ahead and try reading the files we discussed using np.fromfile) While it is faster in execution time than np.loadtxt, but it is generally not a preferred choice when working with well-structured data in a text file. Besides NumPy's. I got .csv file from client but when I read it with PHP, it show some text can't read. I try to upload and open with google sheet and then export .csv again with google. it work perfect when I read it with php. Are there any way to convert .csv to . Spark Read CSV file into DataFrame. Using spark.read.csv(path) or spark.read.format(csv).load(path) you can read a CSV file with fields delimited by pipe, comma, tab (and many more) into a Spark DataFrame, These methods take a file path to read from as an argument Replace Text in File Using Python [Simple Example] Last modified: 22 November 2020 ; Category: python tutorial; In this tutorial, we're going to learn how to replace text in a file by following these steps: 1. opening the file on reading and writing r+ mode. 2. reading the file. 3. replace text in the output file. 4. writing the result on the. textread is useful for reading text files with a known format. textread handles both fixed and free format files. Note. When Read a white-space or delimiter-separated text. Cell array of character vectors %q: Read double quoted text, ignoring the quotes. Cell array of character vectors %c: Read characters, including white space. Character array %[...] Read the longest group of characters.

Python Pandas read_csv: Load csv/text file - KeyToDataScienc

4 Ways of Python Text File Read [5 Examples

I have an requirement to convert/extract the contents from the text file into excel file using python script. input text file format... 1 00:00:04,195 --> 00:00:06,140 This text needs to be extracted. 2 00:00:04,195 --> 00:00:06,140 This text needs to be extracted. 3 00:00:04,195 --> 00:00:06,140 This text needs to be extracted..... Select all Open in new window. and the output excel file. import text to pandas with multiple delimiters. I have some data that looks like this: c stuff c more header c begin data 1 1:.5 1 2:6.5 1 3:5.3 I want to import it into a 3 column data frame, with columns e.g. a , b, c 1, 1, 0.5 etc I have been trying to read in the data as 2 columns split on ':', and then to split the first column on ' '. However I'm finding it irksome. Is there a better way. The read_csv function's first input is the name of the file you desire to read in and store in your pandas data frame. The delimiter option allows you to specify the character that separates your text fields within your file. import pandas as pd df = pd.read_csv(ES.txt,delimiter=',') Just like that, we have read a text file into a pandas data frame that we can now work with. However, if we. Pandas is a powerful and flexible Python package that allows you to work with labeled and time series data. It also provides statistics methods, enables plotting, and more. One crucial feature of Pandas is its ability to write and read Excel, CSV, and many other types of files. Functions like the Pandas read_csv() method enable you to work with files effectively

A Python program can read a text file using the built-in open() function. For example, the Python 3 program below opens lorem.txt for reading in text mode, reads the contents into a string variable named contents, closes the file, and prints the data Kite is a free autocomplete for Python developers. Code faster with the Kite plugin for your code editor, featuring Line-of-Code Completions and cloudless processing

Importing Data from Tab Delimited Files with Python

Read a file line by line in Python - GeeksforGeek

How to get the difference between two adjacent columns in

Reading and Writing Files in Python - PythonForBeginners

pandas.read_sas¶ pandas.read_sas (filepath_or_buffer, format = None, index = None, encoding = None, chunksize = None, iterator = False) [source] ¶ Read SAS files stored as either XPORT or SAS7BDAT format files. Parameters filepath_or_buffer str, path object or file-like object. Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, ftp, s3, and file. Pandas : Read csv file to Dataframe with custom delimiter in Python; Pandas : Select first or last N rows in a Dataframe using head() & tail() How to Merge two or more Dictionaries in Python ? Pandas : Convert a DataFrame into a list of rows or columns in python | (list of lists) Pandas: Create Dataframe from list of dictionaries ; Pandas : skip rows while reading csv file to a Dataframe using. (It so happens I ran into exactly this issue yesterday, though my delimiter was a colon.) Cheers, - Joe Strout: at Nov 21, 2008 at 3:10 pm ⇧ On Nov 21, 2008, at 2:08 AM, Steven D'Aprano wrote: a, b = line.split() Note that in a case like this, you may want to consider using partition instead of split: a, sep, b = line.partition(' ') This way, if there happens to be more than one space (for. Read Pipe Delimited File Posted 02-24-2012 02:03 PM (33069 views) | In reply to art297 Considering that every PROC that generates print output puts one or more blank lines after the table in RTF, PDF or other formats I'd say the culprit is PROC PRINT So, here is Python CSV Reader Tutorial. It might be handy when you want to work with spreadsheets. Like you need to export or import spreadsheets. And the best thing is Python has the inbuilt functionality to work with CSVs

How to Read a CSV File in Python - Pytho

How Python Read CSV File into Array List? As like any text file you can read and split the content using comma operator. But there is an automated module called CSV. Just import it and it will do the things for you. In this post, I will show you how to read a CSV file in python? First of all, you need to import the CSV module. import csv. Open. Python has several built-in modules and functions for handling files. These functions are spread out over several modules such as os, os.path, shutil, and pathlib, to name a few.This article gathers in one place many of the functions you need to know in order to perform the most common operations on files in Python Reading delimited text file to an array. Please Sign up or sign in to vote. 1.00/5 (2 votes) See more: C#. Can anyone help me out with the syntax of reading a text file to an array with a delimiter (Empty space). Posted 19-Jul-11 23:28pm. Sufi Saint. Updated 20-Jul-11 22:55pm Sergey Alexandrovich Kryukov . v2. Add a Solution. Comments. Sergey Alexandrovich Kryukov 21-Jul-11 3:55am Removed. read_tsv(): to read tab delimited files, read_delim(): to read in files with any delimiter. read_fwf(): to read fixed width files. read_table(): to read a common variation of fixed width files where columns are separated by white space. read_log(): to read Apache style log files. It does look daunting at first to see these many options :-), Fear not, all of these functions to read text file.

Java - Reading and Writing using ArrayLists - YouTube

Pandas is a great alternative to read CSV files. Also, there are other ways to parse text files with libraries like ANTLR, PLY, and PlyPlus. They can all handle heavy-duty parsing, and if simple String manipulation doesn't work, there are regular expressions which you can use The structure of the CSV file can be seen using a text editor, such as Notepad or Sublime Text. Here, we can get the same values as in the Excel file, but separated by commas. 1,2,3 Good morning,Good afternoon,Good evening We will use this file in the following examples. We can also change the delimiter to something other than a comma, like a forward slash ('/'). Make this change in the file. Consider, for example, that you have a file where each line contains only one number: you open the file and start reading from it. As each line of the file is treated as text when read, you need to transform the read text into an integer—a data structure that a computer understands (and treats) as a number, not a text

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