display maximum columns pandas
import pandas as pd
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)
display maximum columns pandas
import pandas as pd
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)
minimum and max value in all columns pandas
#for multiple columns
min_vals = df[["A","B","C"]].min() #can add how much ever columns
max_vals = df[["D","E","F"]].max() #can add how much ever columns
#for single column
min_val = df["Column"].min()
max_val = df["Column"].max()
#to refer to all columns
min_val = df[:].min()
max_val = df[:].max()
get max value column pandas
max_value_column = df["column_name"].max()
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_tables
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