Python 无法使用灵活类型plt.hist执行reduce

我有一个包含1000个元素及其各自频率的数据集。我需要绘制前10个出现元素的柱状图。
我做到了：

得到了这个错误：

TypeError                                   
  Traceback (most recent call last) 
<ipython-input-29-ff974b3a2354> in <module>()  
      5  print top_words[:10]  
      6   
----> 7 plt.hist(top_words_10)    
C:\Anaconda\lib\site-packages\numpy\core\_methods.pyc in _amin(a, axis, out, keepdims)  
     12 def _amin(a, axis=None, out=None, keepdims=False):  
     13     return um.minimum.reduce(a, axis=axis,  
---> 14                             out=out, keepdims=keepdims)  
     15   
     16 def _sum(a, axis=None, dtype=None, out=None, keepdims=False):  


TypeError: cannot perform reduce with flexible type

---

问题是

plt.hist

试图使用

nmupy.hist

根据传入的数据生成直方图

您只需要使用

bar

import matplotlib.pyplot as plt
fig, ax = plt.subplots(1, 1)
words, counts = zip(*data32)  # unpack pairs into two lists
ax.bar(range(len(counts)), words, align='center')
ax.set_xticks(range(len(counts))
ax.set_xticklabels(words)  # this is about the _only_ use for set_xticklabels
plt.draw

---

请参阅和。

由于需要将数据转换为数字类型，因此会出现此错误。数组包含字符串

import matplotlib.pyplot as plt
import numpy as np

data = [(' whitefield', 65299), (' bellandur', 57061), (' kundalahalli', 51769), (' marathahalli', 50639),
(' electronic city', 44041), (' sarjapur road junction', 34164), (' indiranagar 2nd stage', 32459),
(' malleswaram', 32171), (' yelahanka main road', 28901), (' domlur', 28869)]

freequency = []
words = []

for line in data:
    freequency.append(line[1])
    words.append(line[0])

y_axis = np.arange(1, len(words) + 1, 1)

plt.barh(y_axis, freequency, align='center')
plt.yticks(y_axis, words)
plt.show()

---

thanx一吨..真是太棒了。。我怎样才能交换轴线？？？我想要垂直的。。请解释for循环，看看这个答案。在for循环中，我只是通过元组解析列表：

（'whitefield'，65299）

，通过索引获取元素并将它们存储在列表中。应该有一些图表将分类值列表作为输入并绘制计数。这应该是开箱即用的，它是人们能想象到的最简单的图表。嗨..thnx但我得到了一个错误文件“”，第6行ax.setxticklabels（words）#这是关于setxticklabels^ SyntaxError:无效的syntax它缺失在哪里？？对不起，我是新手，所以所有这些都是第一个tym；）在集合中。学习有效地调试是学习编程时最重要的技能。语法错误很好，它们会在几行中告诉您它们要处理的位置。

import matplotlib.pyplot as plt
fig, ax = plt.subplots(1, 1)
words, counts = zip(*data32)  # unpack pairs into two lists
ax.bar(range(len(counts)), words, align='center')
ax.set_xticks(range(len(counts))
ax.set_xticklabels(words)  # this is about the _only_ use for set_xticklabels
plt.draw

import matplotlib.pyplot as plt
import numpy as np

data = [(' whitefield', 65299), (' bellandur', 57061), (' kundalahalli', 51769), (' marathahalli', 50639),
(' electronic city', 44041), (' sarjapur road junction', 34164), (' indiranagar 2nd stage', 32459),
(' malleswaram', 32171), (' yelahanka main road', 28901), (' domlur', 28869)]

freequency = []
words = []

for line in data:
    freequency.append(line[1])
    words.append(line[0])

y_axis = np.arange(1, len(words) + 1, 1)

plt.barh(y_axis, freequency, align='center')
plt.yticks(y_axis, words)
plt.show()