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Timestamp is no longer supported error when creating a new column

I would like to ask a question abou the error I am getting here. I am trying to create a new column that intiate a position if the price of tomorrow is predicted higher than today using the following code. it is giving me the error:

TypeError: Addition/subtraction of integers and integer-arrays with Timestamp is no longer supported. Instead of adding/subtracting n, use n * obj.freq

new= pd.DataFrame(index=x_valid.index)

new['Shares'] = [1 if x_valid[i+1] > x_valid[i] else 0 for i in new.index]


---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-92-5e7800e6d5ce> in <module>()
      2 new= pd.DataFrame(index=x_valid.index)
      3 
----> 4 new['Shares'] = [1 if x_valid[i+1]>x_valid[i] else 0 for i in new.index]

<ipython-input-92-5e7800e6d5ce> in <listcomp>(.0)
      2 new= pd.DataFrame(index=x_valid.index)
      3 
----> 4 new['Shares'] = [1 if x_valid[i+1]>x_valid[i] else 0 for i in new.index]

pandas/_libs/tslibs/timestamps.pyx in pandas._libs.tslibs.timestamps._Timestamp.__add__()

TypeError: Addition/subtraction of integers and integer-arrays with Timestamp is no longer supported.  Instead of adding/subtracting `n`, use `n * obj.freq`

Any insights would be much appreciated



source https://stackoverflow.com/questions/67706244/timestamp-is-no-longer-supported-error-when-creating-a-new-column
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