How to count rows in a csv file and ignore the rows not in use (using python) -

i have csv file contains height in feet , inches , weight of basketball players. however, of data has null or blank space feet , height.

i have conclude how many players obese based on bmi, calculated height , weight.

i found out there 11 players obese. however, need find percentage of obese players within set of data. having trouble figuring out how find total number of players (ignoring have null or none in row).

here example of data have:

firstname lastname	position firstseason lastseason	h_feet	h_inches weight    marquis	  daniels   	g	2003	       2009	     6	       6	  200	  predrag	 danilovic	g	1995	       1996	     6	       5	  200  adrian	  dantley	f	1976	       1990	     6	       5	  208	  mike	  dantoni       g	1975	       1975	     null      null       null  henry	  darcey	c	1952	       1952          6	       7	  217	  jimmy	  darden	g	1949	       1949	     6	       1	  170	  oliver	  darden	f	1967	       1969	     6	       6.5        235	  yinka	   dare	        c	1994	       1997	     7	       0	  265	  jesse	   dark	        g	1974	       1974	     6	       4.5        210	

you can see rows have null data.

so far have python code:

def read_csv(filename):      """      reads comma separated value file,      returns list of rows; each row dictionary of columns.      """      open(filename, encoding="utf_8_sig") file:          reader = csv.dictreader(file)          rows = list(reader)      return rows    # try out function  players = read_csv("players.csv")    # print information on first player, demonstrate how  # data  pprint import pprint      def is_obese(player):      if (player["h_inches"] , player["h_feet"] , player["weight"]) == 'null' or (player["h_inches"] , player["h_feet"] , player["weight"]) == none:          pass      else:          total_h_inches = float(player["h_feet"]) * 12 + float(player["h_inches"])          bmi = (float(player["weight"])/(total_h_inches**2))* 703          return bmi >= 30                  count = 0    player in players:      if is_obese(player):           print ('player', player["lastname"], 'is obese')           count = count + 1      else:           pass  print ("the total number of obese players:", count)

and returns:

player boozer obese  player brand obese  player catlett obese  player davis obese  player hamilton obese  player lang obese  player maxiell obese  player miller obese  player smith obese  player traylor obese  player white obese  total number of obese players: 11

keep counter total number of players well, , add players counters if there data on them.

# returns true if player has data, otherwise returns false def has_data(player):     return (player["h_inches"] != 'null' ,             player["h_feet"]   != 'null' ,             player["weight"]   != 'null' ,             player["h_inches"] not none ,             player["h_feet"]   not none ,             player["weight"]   not none)  obese_count = 0 total_count = 0  player in players:     if has_data(player):         if is_obese(player):             print ('player', player["lastname"], 'is obese')             obese_count += 1         total_count += 1