It’s also a question How to Read Excel File from URL into a Pandas DataFrame? Error found! Why this could be happening? know and Learn everything.
Question: What is the best solution for this problem? Answer: This blog code can help you solve errors How to Read Excel File from URL into a Pandas DataFrame. Question: What are the reasons for this code mistake and how can it be fixed? Answer: You can find a solution by following the advice in this blog.
How can we read an XLS file from a URL into a Pandas DataFrame?
Let’s see a real-life example of how we might come across a XLS file to download.
Suppose we want to grab the Chicago Home Price Index data from Fred Economic Data.
There is an option to
Excel (data) on that page, which will download the Excel data locally.
If we right click
Excel (data) and select
Copy link address, we’ll find the URL that will directly download the Excel data onto our machine.
This URL is quite long, but it can be reduced down to the following URL.
Read XLS files using
We can use
requests to read an XLS file from a URL.
import requests import pandas as pd url = 'https://fred.stlouisfed.org/graph/fredgraph.xls?id=CHXRSA' r = requests.get(url) open('temp.xls', 'wb').write(r.content) df = pd.read_excel('temp.xls')
More information on the
requestslibrary can be found here.
We can read specific sheets in the Excel file using
df = pd.read_excel('temp.xls', sheet_name="Sheet Name")
We can also skip the first
n rows or last
df = pd.read_excel('temp.xls', skiprows=n, skipfooter=n)
Read more on
read_excel()here. There are lots of parameters we can change.
Revise the code and make it more robust with proper test case and check an error there before implementing into a production environment.
If you need assistance at any stage, please feel free to contact me.