/Python/Pd.set_option('display.max_columns' none)

Pd.set_option('display.max_columns' none)

Pd.set_option('display.max_columns', None)

pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
#used for expanding the no o viible columns of dataframe

Pd.set_option('display.max_columns', 200) pd.set_option('display.max_rows', 100)

pd.set_option('display.max_columns', None)

Source: stackoverflow.com

Pd.set_option('display.max_columns' none)

import pandas as pd
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)

Source: stackoverflow.com

View all columns pandas

print(dataframe.columns)

Pd.options.display.max_columns()pd.options.display.max_row()

pd.set_option('display.max_columns', 200)
pd.set_option('display.max_rows', 100)
pd.set_option('display.min_rows', 100)
pd.set_option('display.expand_frame_repr', True)

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

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