打印没有省略号的numpy数组

Question

我想打印一个没有截断的numpy数组.我见过其他解决方案,但那些似乎不起作用.

这是代码片段:

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

这就是输出的样子:

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

这是整个代码.我可能在打字时犯了一个错误.

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)

Answer 1

使用以下代码段来获取省略号.

import numpy
numpy.set_printoptions(threshold=numpy.nan)

要么

def print_full(x):
    pd.set_option('display.max_rows', len(x))
    print(x)
    pd.reset_option('display.max_rows')

编辑:

如果您pandas.DataFrame使用以下代码段打印阵列:

numpy.set_printoptions(threshold='nan')

或者,您可以使用pandas.DataFrame.to_string()方法获取所需的结果.

Answer 2

您可以通过将其更改为来解决怪异的Numpy repr / print行为list：

print list(total_list)

应该打印出2元素np数组的列表。