How to create a dataframe from urlopen (csv)

Question

My code:

# parse json returned from the API to Pandas DF
openUrl = urlopen(url)
r = openUrl.read()
openUrl.close()
#d = json.loads(r.decode())
#df = pd.DataFrame(d, index=[0])
df = pd.DataFrame(r, index=[0])

The error:

ValueError: DataFrame constructor not properly called!

Help would be aprreacited.

Answer 1

The DataFrame constructor requires an nd-array like input (or dict, iterable).
You can use pandas.read_csv if you want to directly input a csv and get a DataFrame.
Try printing r to see what is actually inside the response.

pandas.read_csv has a lot of option parameters to handle different types of csv, which of course depends on what you're getting from the url.

Answer 2

This snippet might help you.

import urllib.request
import pandas as pd
r = urllib.request.urlopen('HERE GOES YOUR LINK')
x = r.read()
print(type(x))
y = str(x)
df = pd.DataFrame([y], columns=['string_values'])
print (df)