Criando um boxplot para a coluna alturas, e para as alturas femininas e masculinas

alturas-boxplot-geral-fem-masc.py

import pandas as pd
import matplotlib.pyplot as plt

"""
Criando um boxplot para a coluna alturas, e para as alturas femininas e 
masculinas
"""
df = pd.read_csv('questionario.csv')

alt = df['Alt']
alt_f = df[df.Sexo == 'F']
alt_f = alt_f['Alt']
alt_m = df[df.Sexo == 'M']
alt_m = alt_m['Alt']

alt_d = alt.describe()
alt_fd = alt_f.describe()
alt_md = alt_m.describe()

s_describe = {'G': alt_d, 'F': alt_fd, 'M': alt_md}

for x in s_describe:
    f_name = 'altura-descricao-{0}.txt'.format(x)
    with open(f_name, 'w') as f:
        alt_descri.to_string(f)


font_1 = {'family':'serif', 'color':'#993556'}
font_2 = {'family':'serif', 'color':'#5C1BCC'}
font_3 = {'family':'serif', 'color':'000', 'size':12}

fig = plt.figure(figsize=(6, 8))
plt.boxplot([alt, alt_f, alt_m], labels=['Geral', 'Fem', 'Masc'])

plt.ylabel('Idade')

i = 1
for ax in s_describe:

    plt.text(i, s_describe[ax]['50%'], '{0:.2f}'.format(s_describe[ax]['50%']),
                           fontdict=font_2)
    plt.text(i, s_describe[ax]['25%'], '{0:.2f}'.format(s_describe[ax]['25%']),
             fontdict=font_1)
    plt.text(i, s_describe[ax]['75%'], '{0:.2f}'.format(s_describe[ax]['75%']),
             fontdict=font_1)
    i += 1

plt.xticks([1, 2, 3], ['G', 'F', 'M'])
plt.text(2.8, 1.45, 'G - Geral\nF - Feminino\nM - Masculino',
         horizontalalignment='left', fontdict=font_3)
plt.savefig('alturas-geral-fem-masc-boxplot.png')
plt.close()