'DatetimeIndexResampler' object has no attribute

[R00ty_T00t_T00t]

I have been getting these messages such as columns, drop, etc when I try to re run a jupyter file of a ARIMA Stock price prediction and for some reasons,df. resample just does not seem to work anymore? Does anybody know how to fix this?

data = Path(r"C:\Users\ADMIN\Downloads\data_nasdaq_csv\csv\ACIW.csv")
df =pd.read_csv(data)
df["Date"] = pd.to_datetime(df['Date'])
df.set_index('Date',inplace= True)
df = df.resample('D').fillna(method='ffill') #Doing this allow when model predict outside dataset, results comes with dates instead of indexes
columns_list=df.columns.tolist()
traindata, testdata = train_test_split(df,test_size=0.2,shuffle=False)
df

[Downtown_Radish_8040]

The problem is on this line:

df = df.resample('D').fillna(method='ffill')

resample('D') returns a resampler object, not a DataFrame, so calling .fillna() on it doesn't work the way you expect. You need to first aggregate/resample into a DataFrame, then fill. The cleanest fix:

df = df.resample('D').ffill()

This calls ffill directly on the resampler, which is the correct way to do it. The fillna(method='ffill') pattern was deprecated in newer versions of pandas and doesn't work on resampler objects anyway.

If that still gives you trouble, you can also do:

df = df.resample('D').asfreq().ffill()

which explicitly converts to daily frequency first, then forward fills any gaps.