pandas show all dataframe

1pd.set_option('display.max_columns', None)  # or 1000
2pd.set_option('display.max_rows', None)  # or 1000
3pd.set_option('display.max_colwidth', -1)  # or 199

1pd.set_option('display.max_rows', None)
2pd.set_option('display.max_columns', None)
3pd.set_option('display.width', None)
4pd.set_option('display.max_colwidth', None)

1with pd.option_context('display.max_rows', None, 'display.max_columns', None):  # more options can be specified also
2    print(df)

1# with HTML output
2from IPython.display import display_html
3
4def display_frames(frames, num_space=0):
5    t_style = '<table style="display: inline;"'
6    tables_html = [df.to_html().replace('<table',t_style)
7                  for df in frames]
8    space = '&nbsp;' * num_space
9    display_html(space.join(tables_html),raw=True)
10
11years = 2016,2017,2018 # initial data.
12stock_tables = [pd.read_csv('stocks_{}.csv'.format(year))
13                for year in years]
14
15display_frames(stock_tables,10)
16stocks_2016, stocks_2017, stocks_2018 = stock_tables

1print(df.to_string())