python - 从 numpy.genfromtxt 导入文件时打印求和数组
问题描述
我有几个文件,其中第一列是文本,其余数字如
第一个.txt
A 1 3 5 7 B 9 11 13 15
第二个.txt
A 0 4 6 8
B 10 12 14 16
我喜欢进口
a=[]
b=[]
descr=[]
descr.append( np.genfromtxt('first_file.txt', dtype=None,usecols=(0)))
for counter in range(1,5) :
a.append( np.genfromtxt('first_file.txt', dtype=None,usecols=(counter+1)))
b.append( np.genfromtxt('second_file.txt', dtype=None,usecols(counter+1)))
现在基本上,descr[] 保存第一列的字符串,而 a 和 b 是数组,我现在需要对每列求和并打印类似
求和结果
一个 1 7 11 15
乙 19 23 27 31
我试过这个
total = a+b
lines = [' \t'.join([str(x[i]) if len(x) > i else ' ' for x in total]) for i in range(len(max(total)))]
for i in range(len(descr)):
if descr[i] != '' :
print '{} {}'.format(descr[i], lines[i])
但我明白了
lines = [' \t'.join([str(x[i]) if len(x) > i else ' ' for x in tot]) for i in range(len(max(tot)))] ValueError:具有多个元素的数组的真值是不明确的。使用 a.any() 或 a.all()
解决方案
I could not understand your question completely and your comment with total
also did not help me much. Considering your total issue, you can do simply:
import numpy as np
a = []
b = []
descr = np.genfromtxt('first.txt', dtype=None, usecols=(0))
for counter in range(1,5):
temp = np.genfromtxt('first.txt', dtype=None,usecols=(counter))
a.append(temp)
temp = np.genfromtxt('second.txt', dtype=None,usecols=(counter))
b.append(temp)
total = []
seq = []
seq.append(a)
seq.append(b)
total.append(np.sum(seq,axis=0))
print("Total: ")
print(total)
print("\nResult: ")
for i in range(len(descr)):
if descr[i] != '' :
print (descr[i], total[0][:,i])
It gives you the following result:
Total:
[array([[ 1, 19],
[ 7, 23],
[11, 27],
[15, 31]])]
Result:
b'A' [ 1 7 11 15]
b'B' [19 23 27 31]