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

Barbara Streisand
Release: 2024-11-03 09:37:03
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How to Read CSV from URL in Pandas:  Why am I getting the error

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

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