def get_unique_teams_set():
ipl_matches_array = read_ipl_data_csv(path, '|S50')
a = set(ipl_matches_array[:, 3])
b = set(ipl_matches_array[:, 4])
return (set().union(a, b))
def get_unique_teams_set():
array = read_ipl_data_csv(path, dtype = '|S100')
return set(np.unique(array[:, 3:5]))
def get_unique_teams_set():
var = read_ipl_data_csv(path, dtype)
team1 = set(var[:, 3])
team2 = set(var[:, 4])
return team1.union(team2)
def get_total_extras():
ipl_matches_array = read_ipl_data_csv(path,dtype = 'int')
extras = np.sum(ipl_matches_array[:,17],axis=0)
return extras
def get_unique_matches_count():
numpyArr=read_ipl_data_csv(path,dtype='|S50')
ipl_matches_array=len(np.unique(numpyArr[:,0]))
return ipl_matches_array
def get_unique_teams_set():
a = read_ipl_data_csv(path, dtype='|S50')
b = set(a[:, 3])
c = set(a[:, 4])
return b.union(c)
def get_unique_teams_set():
ipl_matches_array = read_ipl_data_csv(path=path, dtype='S50')
return set(np.unique(ipl_matches_array[:, 3:5]))
def get_unique_matches_count():
data = read_ipl_data_csv(path, '|S100')
data = data[:, 0:1]
return np.unique(data).size
def get_unique_teams_set():
team_data = read_ipl_data_csv('./data/ipl_matches_small.csv', '|S50')
team1 = np.unique(team_data[:, 3])
team2 = np.unique(team_data[:, 4])
team_union = np.union1d(team1, team2)
return set(team_union)
def get_total_extras():
ipl_matches = read_ipl_data_csv(path, dtype)
extras = ipl_matches[:, 17].sum()
return extras
def get_total_extras():
ipl_matches_array = read_ipl_data_csv(path, dtype='|S50')
extras = ipl_matches_array[:, 17]
extras = extras.astype(int)
return np.sum(extras)
def get_total_extras():
ipl_matches_array = read_ipl_data_csv(path=path, dtype='S50')
return np.array(ipl_matches_array[:, 17], dtype=int).sum()
def get_unique_matches_count():
ipl_matches_array = read_ipl_data_csv (path, dtype = '|S50')
return len(set(ipl_matches_array[:, 0]))
def get_total_extras():
ipl_matches_array = read_ipl_data_csv(path,'|S20')
extras_arr = ipl_matches_array[:,17].astype(np.float16)
extras = extras_arr.sum()
return extras
def get_unique_matches_count():
ipl_matches_array = read_ipl_data_csv(path, '|S50')
a = np.unique(ipl_matches_array[:, 0], return_counts=True)
p = list(a[1])
return len(p)
def get_unique_teams_set():
ipl_data = read_ipl_data_csv(path, dtype)
team_1 = set(ipl_data[:, 3])
team_2 = set(ipl_data[:, 4])
team_union = team_1.union(team_2)
return team_union
def get_total_extras():
arr = read_ipl_data_csv(path, dtype='|S100')
sum_extra = np.array(arr[:, 17:18], dtype=int).sum()
return sum_extra
def get_unique_matches_count():
data = read_ipl_data_csv(path, '|S50')
matches = (data[:, 0:1])
ipl_matches_array = len(np.unique(matches))
return ipl_matches_array
def get_total_extras():
arr = read_ipl_data_csv(path, np.int64)
return arr[:,17:18].sum()
def get_unique_matches_count():
ipl_matches_array=read_ipl_data_csv(path,'|S100')
ipl_matches_array=ipl_matches_array[:,0:1]
return np.unique(ipl_matches_array).size
def get_unique_teams_set():
ipl_matches = read_ipl_data_csv(path, dtype='|S50')
team1=np.unique(ipl_matches[:,3])
team2=np.unique(ipl_matches[:,4])
return set(np.union1d(team1,team2))
def get_unique_teams_set():
array = read_ipl_data_csv(path, 'S100')
team1 = np.unique(array[:, 3:4])
team2 = np.unique(array[:, 4:5])
return set(np.union1d(team1, team2))
def get_total_extras():
data = read_ipl_data_csv(path, 'int64')
extras = data[:, 17]
return int(np.sum(extras))
def get_unique_matches_count():
read_data = read_ipl_data_csv(path, dtype='|S50')
match = read_data[:, 0]
ipl_matches_array = np.unique(match)
return len(ipl_matches_array)
def get_total_extras():
iplData = read_ipl_data_csv(path, '|S50')
print(iplData[:, 17].astype(int).sum())
return iplData[:, 17].astype(int).sum()
def get_unique_teams_set():
data = read_ipl_data_csv(path, '|S50')
uniq_team1 = np.unique(data[:, 3])
uniq_team2 = np.unique(data[:, 4])
uniq_teams = set(np.unique(np.union1d(uniq_team1, uniq_team2)))
return uniq_teams
def get_unique_teams_set():
ipl_match_array = read_ipl_data_csv(path, dtype='|S200')
team1 = np.unique(ipl_match_array[:, 3])
team2 = np.unique(ipl_match_array[:, 4])
ipl_team_set = set(np.union1d(team1, team2))
return ipl_team_set
def get_total_extras():
data = read_ipl_data_csv(path, '|S50')
extra_runs = data[:, 17:18]
total_extra = np.array(extra_runs).astype(np.int)
return total_extra.sum()
def get_total_extras():
data = read_ipl_data_csv(path, dtype='|S100')[:, 17]
runs = sum([int(run) for run in data])
return runs
def get_unique_teams_set():
ipl_matches_array = read_ipl_data_csv(path, '|S50')
teams = np.union1d(ipl_matches_array[:, 3], ipl_matches_array[:, 4])
return set(teams)
