"NameError: name 'datetime' is not defined" with datetime imported - python-3.x

Question

I know there are a lot of datetime not defined posts but they all seem to forget the obvious import of datetime. I can't figure out why I'm getting this error. When I do each step in iPython it works well, but the method dosen't
import requests
import datetime
def daily_price_historical(symbol, comparison_symbol, limit=1, aggregate=1, exchange='', allData='true'):
url = 'https://min-api.cryptocompare.com/data/histoday?fsym={}&tsym={}&limit={}&aggregate={}&allData={}'\
.format(symbol.upper(), comparison_symbol.upper(), limit, aggregate, allData)
if exchange:
url += '&e={}'.format(exchange)
page = requests.get(url)
data = page.json()['Data']
df = pd.DataFrame(data)
df['timestamp'] = [datetime.datetime.fromtimestamp(d) for d in df.time]
datetime.datetime.fromtimestamp()
return df
This code produces this error:
Traceback (most recent call last):
File "C:\Users\20115619\AppData\Local\Continuum\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2963, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-29-4f015e05113f>", line 1, in <module>
rv.get_prices(30, 'ETH')
File "C:\Users\20115619\Desktop\projects\testDash\Revas.py", line 161, in get_prices
for symbol in symbols:
File "C:\Users\20115619\Desktop\projects\testDash\Revas.py", line 50, in daily_price_historical
df = pd.DataFrame(data)
File "C:\Users\20115619\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\generic.py", line 4372, in __getattr__
return object.__getattribute__(self, name)
AttributeError: 'DataFrame' object has no attribute 'time'

Answer 1

df['timestamp'] = [datetime.datetime.fromtimestamp(d) for d in df.time]
I think that line is the problem.
Your Dataframe df at the end of the line doesn't have the attribute .time
For what it's worth I'm on Python 3.6.0 and this runs perfectly for me:
import requests
import datetime
import pandas as pd
def daily_price_historical(symbol, comparison_symbol, limit=1, aggregate=1, exchange='', allData='true'):
url = 'https://min-api.cryptocompare.com/data/histoday?fsym={}&tsym={}&limit={}&aggregate={}&allData={}'\
.format(symbol.upper(), comparison_symbol.upper(), limit, aggregate, allData)
if exchange:
url += '&e={}'.format(exchange)
page = requests.get(url)
data = page.json()['Data']
df = pd.DataFrame(data)
df['timestamp'] = [datetime.datetime.fromtimestamp(d) for d in df.time]
#I don't have the following function, but it's not needed to run this
#datetime.datetime.fromtimestamp()
return df
df = daily_price_historical('BTC', 'ETH')
print(df)
Note, I commented out the line that calls an external function that I do not have. Perhaps you have a global variable causing a problem?
Update as per the comments:
I'd use join instead to make the URL:
url = "".join(["https://min-api.cryptocompare.com/data/histoday?fsym=", str(symbol.upper()), "&tsym=", str(comparison_symbol.upper()), "&limit=", str(limit), "&aggregate=", str(aggregate), "&allData=", str(allData)])