Print numpy array without ellipsis

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I want to print a numpy array without truncation. I have seen other solutions but those don't seem to work.

Here is the code snippet:

total_list = np.array(total_list)
np.set_printoptions(threshold=np.inf)
print(total_list)

And this is what the output looks like:

22        A
23        G
24        C
25        T
26        A
27        A
28        A
29        G
         ..
232272    G
232273    T
232274    G
232275    C
232276    T
232277    C
232278    G
232279    T

This is the entire code. I might be making a mistake in type casting.

import csv
import pandas as pd
import numpy as np



seqs = pd.read_csv('BAP_GBS_BTXv2_imp801.hmp.csv')
plts = pd.read_csv('BAP16_PlotPlan.csv')

required_rows = np.array([7,11,14,19,22,31,35,47,50,55,58,63,66,72,74,79,82,87,90,93,99])
total_list = []


for i in range(len(required_rows)):
    curr_row = required_rows[i];
    print(curr_row)
    for j in range(len(plts.RW)):
        if(curr_row == plts.RW[j]):
            curr_plt = plts.PI[j]
            curr_range = plts.RA1[j]
            curr_plt = curr_plt.replace("_", "").lower()
            if curr_plt in seqs.columns:
                new_item = [curr_row,curr_range,seqs[curr_plt]]
                total_list.append(new_item)
                print(seqs[curr_plt]) 


total_list = np.array(total_list)
'''
np.savetxt("foo.csv", total_list[:,2], delimiter=',',fmt='%s')
total_list[:,2].tofile('seqs.csv',sep=',',format='%s')
'''
np.set_printoptions(threshold='nan')

print(total_list)
5 Answers
#for a 2d array
def print_full(x):
    dim = x.shape
    pd.set_option('display.max_rows', dim[0])#dim[0] = len(x)
    pd.set_option('display.max_columns', dim[1])
    print(x)
    pd.reset_option('display.max_rows')
    pd.reset_option('display.max_columns')

It appears that as of Python 3, the threshold can no longer be unlimited.

Therefore, the recommended option is:

import numpy
import sys
numpy.set_printoptions(threshold=sys.maxsize)
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