Read a File Into a Dictionary Python
Read File Into Lexicon in Python
- Utilize the
split()
Office to Read a File Into a Lexicon in Python - Utilize the
strip()
Function Along With thesplit up()
Function to Read a File Into a Dictionary in Python - Use Dictionary Comprehension to Read a File Into a Dictionary in Python
- Use
pandas
Library to Read a File Into a Dictionary in Python
File handling is a vital part of the development and maintenance of any spider web application. Like other popular programming languages, Python is perfectly capable of supporting file handling. It allows the users to operate on different types of files while carrying some basic operations like reading and writing along with the other mainstream operations.
This tutorial demonstrates the different ways to read a file into a dictionary in Python.
For reference, we will exist using a text file in the lawmaking to explain the dissimilar methods used in the article.
Contents of the file File1.txt
:
iv x 5 y 6 z
Use the split up()
Function to Read a File Into a Lexicon in Python
The split()
function is mostly utilized to chop a given string into a listing.
The post-obit lawmaking uses the split up()
function to read a file into a dictionary in Python.
a = {} with open("File1.txt") as f: for line in f: (chiliad, v) = line.carve up() a[int(k)] = v print(a)
The higher up code provides the following output:
{4: 'x', 5: 'y', half-dozen: 'z'}
Explanation:
- An empty dictionary
a
is created beginning. - The
open()
part is utilized to open and read from the given fileFile1.txt
- The contents of the file are read line by line.
- The line contents are and so chopped using the
split()
role at infinite grapheme. The character earlier the space is taken as the fundamental while the character afterwards the infinite is taken equally the value of the dictionary. - The
for
loop is utilized for the iteration purpose and for reaching the cease of the file.
Use the strip()
Part Along With the split()
Function to Read a File Into a Dictionary in Python
The strip()
role in Python removes whatsoever particularly specified characters or blank spaces at the kickoff and the finish of a string. The part returns a new string instead of making changes to the original ane.
The following code uses the strip()
function and the split()
function to read a file into a dictionary in Python.
with open('File1.txt') as f: a = dict(i.rstrip().dissever(None, 1) for i in f) print(a)
The above code provides the following output:
{four: 'x', 5: 'y', half-dozen: 'z'}
Explanation:
- An empty dictionary
a
is created commencement. - The
open()
function is utilized to open and read from the given fileFile1.txt
- The contents of the file are read line past line.
- The line contents are and then chopped using the
divide()
function at infinite character. Thestrip()
function is too utilized inside the same to remove mentioned characters. - The
for
loop is utilized for the iteration purpose and for reaching the end of the file.
Use Dictionary Comprehension to Read a File Into a Lexicon in Python
The dictionary comprehension is a syntactical extension of the much popular and used list comprehension.
While dictionary comprehension is syntactically deployed similarly to listing comprehension in the Python code, it has a big divergence as the onetime produces the output as a lexicon, unlike the latter, which provides a list
equally an output.
The following code uses the dictionary comprehension to read a file into a dictionary in Python.
with open("File1.txt") as f: a = {int(k): v for line in f for (grand, five) in [line.strip().split(None, 1)]} print(a)
The to a higher place code provides the post-obit output:
{iv: 'x', 5: 'y', 6: 'z'}
Apply pandas
Library to Read a File Into a Dictionary in Python
Pandas is a library provided by Python that is utilized for data analysis and manipulation. Pandas is an open-source, easy-to-use, and flexible library.
The following lawmaking uses the pandas
library to read a file into a dictionary in Python.
import pandas as pd a = pd.read_csv("File1.txt", delimiter=" ", header = None).to_dict()[0] print(a)
The higher up code provides the following output:
{4: 'x', 5: 'y', 6: 'z'}
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