Question

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个元素的直方图我做了：

  top_words = Counter(my_data).most_common()  
  top_words_10 = top_words[:10]  
  plt.hist(top_words_10,label='True')

并收到此错误：

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

任何想法？我的数据如下：

[(' 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)]

Answer 1

您收到此错误是因为您需要将数据转换为数字类型。你的数组包含字符串。

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()

Answer 2

问题是plt.hist尝试使用nmupy.hist根据您传入的数据制作直方图。

您只想使用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this example和documentation。

使用灵活类型plt.hist无法执行缩减

2 个答案: