Based on the provided data, it appears that the my_row column is supposed to contain the row number of each dataset, but it’s not being updated correctly.

Here are a few potential issues with the current code:

1. The my_row column is not being updated inside the loop.
2. The next_1_time_interval column is also not being updated.

To fix these issues, you can modify the code as follows:

import pandas as pd

# Assuming df is your DataFrame
df['my_row'] = range(1, len(df) + 1)

for index, row in df.iterrows():
    if row['Hyperkalemia'] > 3:
        df.loc[index, 'next_1_time_interval'] = row['COLLECTED_DATE'] + pd.Timedelta(days=7)

In this modified code:

• We add a new column my_row using the range function to assign a unique integer value to each row.
• Inside the loop, we check if the value in the Hyperkalemia column is greater than 3. If it is, we update the corresponding value in the next_1_time_interval column by adding 7 days to the current date.

Note that this code assumes that the dates are stored as strings in the format ‘YYYY-MM-DD’. If they are stored in a different format, you may need to modify the pd.Timedelta function accordingly.

Last modified on 2023-06-23