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My DataFrame looks like this (11 columns in total):

 Alpha Beta Gamma ... Sigma Tau Omega 2012-01-01 4.656792 9.419713 3.193772 ... 2.214034 2.553029 8.159858 2012-01-02 3.340358 9.038128 1.493114 ... 6.902116 8.070853 8.682406 2012-01-03 1.922536 6.609628 9.327669 ... 6.902920 6.510281 5.310958 2012-01-04 8.162849 7.631287 2.286857 ... 7.323811 1.580484 9.832999 2012-01-05 6.510500 9.488752 4.930104 ... 8.099461 3.252794 4.335705

I want to see all columns, without the middle points (dots).

This is my code:

import pandas as pd import numpy as np #pd.options.display.max_columns = 250 #pd.set_option('display.width',280) # default is 80 #pd.set_option('precision',7) # Digits after the dot. df = pd.DataFrame(np.random.rand(5,11)*9+1, index=pd.date_range('1/1/2012', periods=5), columns=['Alpha','Beta','Gamma','Delta','Epsilon','Theta','Lambda','Rho','Sigma','Tau','Omega']) print (df.head())

I tried the following lines each time, but still i did not see all columns together...I am using python27.

pd.options.display.max_columns = 250 pd.set_option('display.width',280) # default is 80 pd.set_option('precision',7) # Digits after the dot.
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  • @BallpointBen . Perfect!...need to enable these lines: pd.set_option('display.max_columns', 500) pd.set_option('display.width', 1000) Commented Sep 4, 2018 at 21:22
  • 2
    take a look at this answer first stackoverflow.com/a/33375383 Commented Sep 4, 2018 at 21:26
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