Pandas montrent toute la méthode DataFrame
# with HTML output
from IPython.display import display_html
def display_frames(frames, num_space=0):
t_style = '<table style="display: inline;"'
tables_html = [df.to_html().replace('<table',t_style)
for df in frames]
space = ' ' * num_space
display_html(space.join(tables_html),raw=True)
years = 2016,2017,2018 # initial data.
stock_tables = [pd.read_csv('stocks_{}.csv'.format(year))
for year in years]
display_frames(stock_tables,10)
stocks_2016, stocks_2017, stocks_2018 = stock_tables
icy_milktea27
