TypeError：只有大小为 1 的数组可以转换为 Python 标量

Question

我有一个由字符串组成的 (61000L, 2L) numpy.ndarray。 如中，numpy.ndarray 中的项目是字符串。

我拆分字符串，以便将字符串中的每个单词作为列表输出，在 numpy.ndarray 中，代码如下：

words_data = np.char.split(string_data)

我尝试创建一个双 for 循环来计算在每个列表中找到的唯一单词。

from collections import Counter
counts = Counter()
for i in range(words_data.shape[0]):
    for j in range(words_data[1]):
        counts.update(words_data[i])

counts

上面代码的输出错误如下：

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-39-680a0105eebd> in <module>()
      1 counts = Counter()
      2 for i in range(words_data.shape[0]):
----> 3     for j in range(words_data[1]):
      4         counts.update(words_data[i])
      5 

TypeError: only size-1 arrays can be converted to Python scalar

这是我数据的前 8 行：

 x = np.array([["hello my name is nick", "hello my name is Nick", "hello my name is Carly", "hello my name is Ashley, "hello my name is Java", "hello my name is C++", "hello my name is Ruby", "hello my name is Python"" ],["hello my name is Java", "hello my name is C++", "hello my name is Ruby", "hello my name is Python", "hello my name is nick", "hello my name is Nick", "hello my name is Carly", "hello my name is Ashley]])

 x =  x.transpose()

Answer 1

这里不需要循环。这是一种解决方案：

from collections import Counter
from itertools import chain
import numpy as np

string_data = np.array([["hello my name is nick", "hello my name is Nick", "hello my name is Carly",
                         "hello my name is Ashley", "hello my name is Java", "hello my name is C++",
                         "hello my name is Ruby", "hello my name is Python"],
                         ["hello my name is Java", "hello my name is C++", "hello my name is Ruby",
                          "hello my name is Python", "hello my name is nick", "hello my name is Nick",
                          "hello my name is Carly", "hello my name is Ashley"]])

word_count = Counter(' '.join(chain.from_iterable(string_data)).split())

# Counter({'Ashley': 2,
#          'C++': 2,
#          'Carly': 2,
#          'Java': 2,
#          'Nick': 2,
#          'Python': 2,
#          'Ruby': 2,
#          'hello': 16,
#          'is': 16,
#          'my': 16,
#          'name': 16,
#          'nick': 2})