from FileLoader import FileLoader
from YoungestFellah import youngestFellah
fl = FileLoader()
df = fl.load("../resources/athlete_events.csv")
print(youngestFellah(df, 2004))
from FileLoader import FileLoader as loader
from YoungestFellah import youngestFellah
data = loader.load('../data/athlete_events.csv')
print(youngestFellah(data, 2004))
import pandas as pd from YoungestFellah import youngestFellah from FileLoader2 import FileLoader2 fl2 = FileLoader2() path3 = r"C:\Users\Gabriel\Desktop\Mes documents - Google Drive\DATA\19\day04\athlete_events.csv" df = fl2.load(path3) youngestFellah(path3, 1994)
class FileLoader:
def load(
path
): #The argument of this method is the file path of the dataset to load. It must display a message specifying the dimensions of the dataset (e.g. 340 x 500). The method returns the dataset loaded as a pandas.DataFrame.
i = len(path) - 1
while path[i] != '.':
i -= 1
extension = path[i:len(path)]
if extension == ".txt":
file = pd.read_txt(path)
if extension == ".csv":
file = pd.read_csv(path)
print("Loading dataset of dimensions %d x %d" %
(file.shape[0], file.shape[1]))
return file
def display(
df, n
): #Takes a pandas.DataFrame and an integer as arguments. This method displays the first n rows of the dataset if n is positive, or the last n rows if n is negative.
if n >= 0:
print(df.iloc[0:n])
else:
print(df.iloc[n - 1:-1])
pan = FileLoader
file = pan.load(os.getcwd() + "/../resources/athlete_events.csv")
youngestFellah(file, 1992)
from FileLoader import FileLoader
from YoungestFellah import youngestFellah
loader = FileLoader()
data = loader.load("./athlete_events.csv")
youngestFellah(data, 2004)
from YoungestFellah import youngestFellah
from FileLoader import FileLoader
loader = FileLoader()
data = loader.load('../resources/athlete_events.csv')
print(youngestFellah(data, 1992))
from FileLoader import FileLoader
from YoungestFellah import youngestFellah
loader = FileLoader()
data = loader.load('../ex00/athlete_events.csv')
yf = youngestFellah(data, 2012)
print(yf)