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[英]Error in Wordcloud python with generate_from_frequencies
[英]Wordcloud Python with generate_from_frequencies
我正在尝试从 csv 文件创建一个 wordcloud。 例如,csv 文件具有以下结构:
a,1
b,2
c,4
j,20
它有更多行,或多或少 1800。第一列有字符串值(名称),第二列有它们各自的频率(整数)。 然后,读取文件并将键值行存储在字典 (d) 中,因为稍后我们将使用它来绘制 wordcloud:
reader = csv.reader(open('namesDFtoCSV', 'r',newline='\n'))
d = {}
for k,v in reader:
d[k] = v
一旦我们的字典充满了值,我就会尝试绘制 wordcloud:
#Generating wordcloud. Relative scaling value is to adjust the importance of a frequency word.
#See documentation: https://github.com/amueller/word_cloud/blob/master/wordcloud/wordcloud.py
wordcloud = WordCloud(width=900,height=500, max_words=1628,relative_scaling=1,normalize_plurals=False).generate_from_frequencies(d)
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()
But an error is thrown:
Traceback (most recent call last):
File ".........../script.py", line 19, in <module>
wordcloud = WordCloud(width=900,height=500, max_words=1628,relative_scaling=1,normalize_plurals=False).generate_from_frequencies(d)
File "/usr/local/lib/python3.5/dist-packages/wordcloud/wordcloud.py", line 360, in generate_from_frequencies
for word, freq in frequencies]
File "/usr/local/lib/python3.5/dist-packages/wordcloud/wordcloud.py", line 360, in <listcomp>
for word, freq in frequencies]
TypeError: unsupported operand type(s) for /: 'str' and 'float
最后,文档说:
def generate_from_frequencies(self, frequencies, max_font_size=None):
"""Create a word_cloud from words and frequencies.
Parameters
----------
frequencies : dict from string to float
A contains words and associated frequency.
max_font_size : int
Use this font-size instead of self.max_font_size
Returns
-------
self
```python
So, I don't understand why is trowing me this error if I met the requirements of the function. I hope someone can help me, thanks.
**Note**
I work with worldcloud 1.3.1
这是因为字典中的值是字符串,但 wordcloud 需要整数或浮点数。
当我运行代码,然后检查你的字典d
我得到以下。
In [12]: d
Out[12]: {'a': '1', 'b': '2', 'c': '4', 'j': '20'}
请注意数字周围的' '
表示这些实际上是字符串。
解决这个问题的一个技巧是在你的FOR
循环中将v
转换为int
,例如:
d[k] = int(v)
我说这很笨拙,因为它可以处理整数,但是如果您的输入中有浮点数,则可能会导致问题。
此外,Python 错误可能难以阅读。 您上面的错误可以解释为
script.py", line 19
TypeError: unsupported operand type(s) for /: 'str' and 'float
“我的文件的第 19 行或之前存在类型错误。让我看看我的数据类型,看看字符串和浮点数之间是否有任何不匹配......”
下面的代码对我有用:
import csv
from wordcloud import WordCloud
import matplotlib.pyplot as plt
reader = csv.reader(open('namesDFtoCSV', 'r',newline='\n'))
d = {}
for k,v in reader:
d[k] = int(v)
#Generating wordcloud. Relative scaling value is to adjust the importance of a frequency word.
#See documentation: https://github.com/amueller/word_cloud/blob/master/wordcloud/wordcloud.py
wordcloud = WordCloud(width=900,height=500, max_words=1628,relative_scaling=1,normalize_plurals=False).generate_from_frequencies(d)
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()
# LEARNER CODE START HERE
file_c=""
for index, char in enumerate(file_contents):
if(char.isalpha()==True or char.isspace()):
file_c+=char
file_c=file_c.split()
file_w=[]
for word in file_c:
if word.lower() not in uninteresting_words and word.isalpha()==True:
file_w.append(word)
frequency={}
for word in file_w:
if word.lower() not in frequency:
frequency[word.lower()]=1
else:
frequency[word.lower()]+=1
#wordcloud
cloud = wordcloud.WordCloud()
cloud.generate_from_frequencies(frequency)
return cloud.to_array()
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