# By: tbrizon <*****@*****.**> +#+ +:+ +#+ #
# +#+#+#+#+#+ +#+ #
# Created: 2019/11/08 17:02:12 by tbrizon #+# #+# #
# Updated: 2019/12/02 13:36:36 by tbrizon ### ########.fr #
# #
# **************************************************************************** #
from FileLoader import FilerLoader as fl
import pandas as pd
def YoungestFellah(data, year):
yf = {
'f' : [],
'm' : []
}
m = data.loc[(data['Year'] == year) & (data['Sex'] == 'M')].sort_values(by =['Age'])
f = data.loc[(data['Year'] == year) & (data['Sex'] == 'F')].sort_values(by =['Age'])
x = m['Age'][:1].values[0]
yf['m'] = m['Age'][:1].values[0]
yf['f'] = f['Age'][:1].values[0]
print(yf)
if __name__ == "__main__":
df = fl.load('../ressources/athlete_events.csv')
YoungestFellah(df, 2004)
pass
# **************************************************************************** #
# #
# ::: :::::::: #
# HowManyMedals.py :+: :+: :+: #
# +:+ +:+ +:+ #
# By: tbrizon <*****@*****.**> +#+ +:+ +#+ #
# +#+#+#+#+#+ +#+ #
# Created: 2019/12/02 11:17:24 by tbrizon #+# #+# #
# Updated: 2019/12/02 13:16:04 by tbrizon ### ########.fr #
# #
# **************************************************************************** #
import pandas as pd
from FileLoader import FilerLoader
import numpy as np
def HowManyMedals(data, name):
x = data.loc[(data['Name'] == name)]
ym = x.groupby(["Year", "Medal"])
value = ym.size().unstack(fill_value=0)
value = value.to_dict('index')
print (value)
if __name__ == "__main__":
data = FilerLoader.load('/private/tmp/tbrizon/bootcamp_python/day04/ressources/athlete_events.csv')
HowManyMedals(data, 'Kjetil Andr Aamodt')
il me faut la valeur max de chaque feature pour en faire les xmax de mon histo
il me faut le nombre de ligne de chaque feature pour en faire le y max
"""
i = 1
for feature in features:
if df[feature].dtypes is object:
print ('Non numerical value, error')
exit ()
i += 1
x_max = df[feature].max()
y_max = df[feature].count()
ndf = df.fillna(0)
ndf = ndf[ndf[feature] > 0]
values = ndf[feature].values
hist, bin = np.histogram(values)
plt.figure()
n, bins, patches = plt.hist(x=values, bins=100, color='#0504aa',
alpha=0.9, rwidth=0.85)
plt.title('{} Histogram'.format(feature))
plt.show()
if __name__ == "__main__":
features = ['Age', 'Height', 'Weight']
data = FilerLoader.load('/Users/tbrizon/Desktop/tbrizon_42/bootcamp_python/day04/ressources/athlete_events.csv')
mp = MyPlotLib
x = HowManyMedalsByCountry(data, 'France')
#mp.histovie(data, features)
mp.density(data, features)
#mp.pairplot(data, features)
pass