IQR Code not working after Anaconda Upgrade

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Nov 27, 2023
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The following code is meant to calculate IQR for follow on Regression work in ML data analysis. At first the code worked, but then stopped working after upgrading Anaconda. Don't know what to do.

Python:
#Checking different percentiles
pd.DataFrame(MyData['Age']).describe(percentiles=(1,0.99,0.9,0.75,0.5,0.3,0.1,0.01))

#Checking Outlier by definition and treating outliers

#getting median Age
Age_col_df = pd.DataFrame(MyData['Age'])
Age_median = Age_col_df.median()

#getting IQR of Age column
Q3 = Age_col_df.quantile(q=0.75)
Q1 = Age_col_df.quantile(q=0.25)
IQR = Q3-Q1

#Deriving boundaries of Outliers
IQR_LL = int(Q1 - 1.5*IQR)
IQR_UL = int(Q3 + 1.5*IQR)

#Finding and treating outliers - both lower and upper end
MyData.loc[MyData['Age']>IQR_UL , 'Age'] = int(Age_col_df.quantile(q=0.90))
MyData.loc[MyData['Age']<IQR_LL , 'Age'] = int(Age_col_df.quantile(q=0.01))

The error that I get are as follows
Code:
C:\Users\danie\AppData\Local\Temp\ipykernel_19008\1214848077.py:13: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead
  IQR_LL = int(Q1 - 1.5*IQR)
C:\Users\danie\AppData\Local\Temp\ipykernel_19008\1214848077.py:14: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead
  IQR_UL = int(Q3 + 1.5*IQR)
C:\Users\danie\AppData\Local\Temp\ipykernel_19008\1214848077.py:17: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead
  MyData.loc[MyData['Age']>IQR_UL , 'Age'] = int(Age_col_df.quantile(q=0.90))
C:\Users\danie\AppData\Local\Temp\ipykernel_19008\1214848077.py:18: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead
  MyData.loc[MyData['Age']<IQR_LL , 'Age'] = int(Age_col_df.quantile(q=0.01))

Not sure what to do.
Thank you kindly in advance for any solutions, or dealing with issues of this post's formatting.
 

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