Pandas show all dataframe

Pandas show all rows

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

Source: stackoverflow.com

Show full pd dataframe

pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.width', None)
pd.set_option('display.max_colwidth', None)

Pandas show all dataframe

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

Source: stackoverflow.com

Pandas show all dataframe method

# 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 = '&nbsp;' * 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

Pandas show all dataframe

print(df.to_string())

Source: stackoverflow.com

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