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)