Dataframe replace columns and save to new df
I loaded in a .dat
file to a pandas dataframe. Two of the columns are mean and error. I used the values in these two columns to create a randomized value for mean. I want to replace the mean column in the dataframe with the new values for mean. However I want to continuously do this and create new dataframes as I go because every dataframe needs to be saved back to a file and used in a simulation.
Dataframe replace columns and save to new df
I loaded in a .dat
file to a pandas dataframe. Two of the columns are mean and error. I used the values in these two columns to create a randomized value for mean. I want to replace the mean column in the dataframe with the new values for mean. However I want to continuously do this and create new dataframes as I go because every dataframe needs to be saved back to a file and used in a simulation.
Извлеките числовое значение из колонки pandas
подскажите пожалуйста как лучше разделить цифровое значение и сохранить в новом столбце ??
Deduplicate values in the df based on the previous/next row
Consider this df: