用python进行excel词频统计
时间: 2023-07-12 08:06:45 浏览: 243
可以使用Python的pandas和collections模块进行Excel词频统计。
首先,需要安装pandas和collections模块。可以使用以下命令进行安装:
```python
pip install pandas
pip install collections
```
接下来,需要将Excel文件转换成DataFrame格式,可以使用pandas模块中的read_excel方法,代码如下:
```python
import pandas as pd
df = pd.read_excel('file.xlsx')
```
然后,需要将所有单元格中的文本合并成一个字符串,可以使用join方法,代码如下:
```python
text = ' '.join(df['Column_Name'])
```
接着,需要对文本进行分词,可以使用nltk或jieba等中文分词库。这里以jieba为例,代码如下:
```python
import jieba
words = jieba.cut(text)
```
最后,使用collections模块中的Counter方法对分词结果进行词频统计,代码如下:
```python
from collections import Counter
word_count = Counter(words)
print(word_count)
```
输出结果为每个词及其出现的次数。
完整代码如下:
```python
import pandas as pd
import jieba
from collections import Counter
df = pd.read_excel('file.xlsx')
text = ' '.join(df['Column_Name'])
words = jieba.cut(text)
word_count = Counter(words)
print(word_count)
```
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