I'm trying to calculate the daily returns of stock in percentage format from a CSV file by defining a function. Here's my code:
def daily_ret(ticker):
return f"{df[ticker].pct_change()*100:.2f}%"
When I call the function, I get this error:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-40-7122588f1289> in <module>()
----> 1 daily_ret('AAPL')
<ipython-input-39-7dd6285eb14d> in daily_ret(ticker)
1 def daily_ret(ticker):
----> 2 return f"{df[ticker].pct_change()*100:.2f}%"
TypeError: unsupported format string passed to Series.__format__
Where am I going wrong?
f-strings can't be used to format iterables like that, even Series:
def daily_ret(ticker):
return (df[ticker].pct_change() * 100).map("{:.2f}%".format)
def daily_ret(ticker):
return (df[ticker].pct_change() * 100).apply("{:.2f}%".format)
import numpy as np
import pandas as pd
df = pd.DataFrame({'A': np.arange(1, 6)})
print(daily_ret('A'))
0 nan%
1 100.00%
2 50.00%
3 33.33%
4 25.00%
Name: A, dtype: object
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.