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]
Read DetailsConsider 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
Read DetailsComplete 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]
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