Using Python 3.8.0, this code
p = get_quote_yahoo("AUPH")
print(p)
gives result:
"language region quoteType ... market esgPopulated price
AUPH en-US US EQUITY ... us_market False 19.825
[1 rows x 60 columns]"
and this code:
print(p.price)
gives:
"AUPH 19.8893
Name: price, dtype: float64"
How do I access only the floating number ( 19.8893
) in p
so that only the number prints?
尝试这个:
print(p.price.values[0])
Since p.price
is a Series object you can use all the methods available.
This is the correct way to get the value
import pandas_datareader as pdr
p = pdr.get_quote_yahoo('AUPH')
print(next(iter(p.price)))
Or
import pandas_datareader as pdr
p = pdr.get_quote_yahoo('AUPH')
print(p.price.get(0))
Or
import pandas_datareader as pdr
p = pdr.get_quote_yahoo('AUPH')
print(p.price[0])
Outputs
# > python test.py
20.01
Let assume you have this string:
m = """AUPH 19.8893
Name: price, dtype: float64"""
If you use split
method you will have:
>>> m.split()
['AUPH', '19.8893', 'Name:', 'price,', 'dtype:', 'float64']
>>> m.split()[1]
'19.8893'
>>> float(m.split()[1])
19.8893
So, for your case, You can get the number by doing:
m = p.price
result = float(m.split()[1])
print(result) # will display 19.8893
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