pd.set_option('display.max_columns', 200) pd.set_option('display.max_rows', 100)
pd.set_option('display.max_columns', None)pd.set_option('display.max_columns', 200) pd.set_option('display.max_rows', 100)
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 dataframepd.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)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)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 = ' ' * 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_tablesCopyright © 2021 Codeinu
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