How to Read CSV from URL in Pandas: Why am I getting the error \'Expected file path name or file-like object, got type\'?

Pandas: Reading CSV from URL

Problem:

Encountering an error while attempting to read a CSV file from a given URL using Python 3.x: "Expected file path name or file-like object, got type."

Error Resolution:

The error arises because Python 3.4 requires the use of StringIO to handle the byte-like string returned by the requests.get() method in pandas.read_csv().

Fix:

To fix this issue, convert the byte-like string into a file-like object using StringIO, as demonstrated below:

<code class="python">import io
import pandas as pd
import requests

url = "https://github.com/cs109/2014_data/blob/master/countries.csv"

# Get the CSV data from the URL
response = requests.get(url)

# Convert the byte-like string to a StringIO object
csv_string = io.StringIO(response.content.decode('utf-8'))

# Read the CSV data into a DataFrame
df = pd.read_csv(csv_string)</code>

By using StringIO, the byte-like string is interpreted as a file-like object, allowing pandas.read_csv() to read the CSV data successfully.

The above is the detailed content of How to Read CSV from URL in Pandas: Why am I getting the error 'Expected file path name or file-like object, got type'?. For more information, please follow other related articles on the PHP Chinese website!