import seaborn
seaborn.__version__
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
only22_PeriodLast_uniques <- filtered_sum_salidas_only22_PeriodLast %>% group_by(CODIGO_ARTICULO) %>% summarise (n = n())
#Number of survivors
titanic.pivot_table('survived', index='sex', columns='class', aggfunc="sum")
jupyter nbconvert --to webpdf --no-input your-notebook-file.ipynb
jupyter nbconvert --to webpdf ML_classification_v2.ipynb