How to iterate a function on my data frame and get values stored in the same data frame with the original values

Question

The below is the function for finding probability(for being in a class) for one id(with multiple features and their one values) at a time. How would I iterate this function over an excel sheet having multiple rows and multiple features. I would like to add new columns next to existing columns showing the probability value which we will get by the below function. I have converted the data frame to dictionary, where column names are keys. SO, I have multiple values in each keys.

def predict_many(values, features):
    values = np.array(values).reshape(-1, 1)
    features = np.array(features)
    results = pd.DataFrame(data=values, index=features, columns=["X_value"])
    results["proba"] = results.apply(lambda row: predict_one(row.X_value, row.name), axis=1).values
    return results                                                               

Answer 1

To apply a function similar to yours to each key value pair in a dictionary we would iterate over the dictionary passing the key value pairs, since the function returns a df we would then concat the dfs as they are returned

df2 = pd.DataFrame(columns = columns)
for key, value in d.items():
     temp_df = function_to_apply(key, value)
     df2 = pd.concat([df2, temp_df])

The dictionary you will be using may need to be transformed in order to get the desired results.