Reading CSV Files from URLs Using Pandas
When attempting to read a CSV file from a URL using Python 3.x, users may encounter the error: "Expected file path name or file-like object, got
This occurs because Pandas expects a file path or an open file object, while the code provides a byte-string s obtained from the URL. To resolve this issue, follow the updated Pandas implementation:
In Pandas versions later than 0.19.2, you can directly pass the URL to the read_csv() function:
<code class="python">import pandas as pd # Replace the s variable with the direct URL url = "https://raw.githubusercontent.com/cs109/2014_data/master/countries.csv" c = pd.read_csv(url)</code>
This updated code directly reads the CSV data from the specified URL without the need for intermediate steps involving requests.get().content.
The above is the detailed content of How Do You Read CSV Files From URLs Using Pandas?. For more information, please follow other related articles on the PHP Chinese website!

The basic syntax for Python list slicing is list[start:stop:step]. 1.start is the first element index included, 2.stop is the first element index excluded, and 3.step determines the step size between elements. Slices are not only used to extract data, but also to modify and invert lists.

Listsoutperformarraysin:1)dynamicsizingandfrequentinsertions/deletions,2)storingheterogeneousdata,and3)memoryefficiencyforsparsedata,butmayhaveslightperformancecostsincertainoperations.

ToconvertaPythonarraytoalist,usethelist()constructororageneratorexpression.1)Importthearraymoduleandcreateanarray.2)Uselist(arr)or[xforxinarr]toconvertittoalist,consideringperformanceandmemoryefficiencyforlargedatasets.

ChoosearraysoverlistsinPythonforbetterperformanceandmemoryefficiencyinspecificscenarios.1)Largenumericaldatasets:Arraysreducememoryusage.2)Performance-criticaloperations:Arraysofferspeedboostsfortaskslikeappendingorsearching.3)Typesafety:Arraysenforc

In Python, you can use for loops, enumerate and list comprehensions to traverse lists; in Java, you can use traditional for loops and enhanced for loops to traverse arrays. 1. Python list traversal methods include: for loop, enumerate and list comprehension. 2. Java array traversal methods include: traditional for loop and enhanced for loop.

The article discusses Python's new "match" statement introduced in version 3.10, which serves as an equivalent to switch statements in other languages. It enhances code readability and offers performance benefits over traditional if-elif-el

Exception Groups in Python 3.11 allow handling multiple exceptions simultaneously, improving error management in concurrent scenarios and complex operations.

Function annotations in Python add metadata to functions for type checking, documentation, and IDE support. They enhance code readability, maintenance, and are crucial in API development, data science, and library creation.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

WebStorm Mac version
Useful JavaScript development tools

Dreamweaver Mac version
Visual web development tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function
