For the following elements. Ar, Li, P,  list them from highe…

For the following elements. Ar, Li, P,  list them from highest to lowest Ionization energy: Highest: [drop1]; second highest: [drop2]; lowest: [drop3];   For the following ions,  K+, Na+, Mg2+, Al3+, list them in terms of atomic radius: Largest: [drop4]; second largest: [drop5]; third largest: [drop6]; smallest: [drop7]

Consider the following function for getting the value of a c…

Consider the following function for getting the value of a cell from a CSV file. Lines 6 to 9 (highlighted by bold) have some bugs. Which of the following best describes the bugs in this program? # line 1  def cell(row_idx, col_name):# line 2      col_idx = csv_header.index(col_name)# line 3      val = csv_data[row_idx][col_idx]# line 4      if val == “”:# line 5          return None              # convert types based on column name, ensuring that the              # float and int values are appropriately converted# line 6      if col_name == “price”:                                # line 7          int(val)# line 8      if col_name == “latitude” or col_name == “longitude”:# line 9          float(val)                                            # line 10     return val

Complete the function get_column to extract an entire column…

Complete the function get_column to extract an entire column from data to a list. The formate of the dataset is: data = [    [“male”,”18″,”student”], # row 1    [“female”,”16″,”student”], # row 2    [“male”,”22″,”TA”]  # row 3    # … more rows]header = [“gender”,”age”,”role”] Since multiple dropdown makes it a little hard to read, we put the well-formatted version of code here. Select the correct code replacements in the below list of drop downs. def get_column(col_name):   col_idx = **blank1**    data_column = []    for row in data:       data_column.append(row[**blank2**])   return **blank3** get_column(“gender”) # sample invocation Select the best choice for: [blank1] [blank2] [blank3]