Please write me an r function that takes in a data frame, groups the data by one categorical column, then sorts by a some other specified columns, then assigns a rank to the order
 Sure, here is a possible function that you can use:
```
rank_data <- function(data, group_col, sort_cols, tie_method = "min") {
  # Group data by group_col
  grouped_data <- data %>% group_by({{ group_col }})
  
  # Sort data within each group by sort_cols
  sorted_data <- grouped_data %>% arrange({{ sort_cols }}, .by_group = TRUE)
  
  # Assign rank to each row within each group
  ranked_data <- sorted_data %>% mutate(rank = row_number(), tie_method = {{ tie_method }})
  
  # If there are ties, assign the same rank to all tied rows
  if (tie_method == "min") {
    ranked_data <- ranked_data %>% mutate(rank = min(rank) * (rank == min(rank)))
  } else if (tie_method == "max") {
    ranked_data <- ranked_data %>% mutate(rank = max(rank) * (rank == max(rank)))
  } else if (tie_method == "first") {
    ranked_data <- ranked_data %>% mutate(rank = first(rank) * (
def rank_by_order(data_frame, order_by_col):
    grouped_data = data_frame.groupby(data_frame[order_by_col])
    rank_data = grouped_data.transform('rank')
    return rank_data.astype(int)