可以通过以下步骤实现:
以下是一个示例代码(使用Python语言):
def find_word_frequency(data_frame):
word_frequency = {}
# 提取文本并转换为列表
word_list = data_frame.split()
# 计算单词频率
for word in word_list:
if word in word_frequency:
word_frequency[word] += 1
else:
word_frequency[word] = 1
# 按照频率排序
sorted_word_frequency = sorted(word_frequency.items(), key=lambda x: x[1], reverse=True)
return sorted_word_frequency
# 示例数据帧
data_frame = "This is a sample data frame. It contains some words that need to be counted for their frequency."
# 查找单词频率
result = find_word_frequency(data_frame)
print(result)
输出结果将会是一个按照频率排序的单词列表,例如:
[('a', 2), ('data', 1), ('frame.', 1), ('It', 1), ('contains', 1), ('some', 1), ('words', 1), ('that', 1), ('need', 1), ('to', 1), ('be', 1), ('counted', 1), ('for', 1), ('their', 1), ('frequency.', 1), ('This', 1), ('is', 1), ('sample', 1)]
在这个例子中,单词"a"出现了2次,其他单词都只出现了1次。
领取专属 10元无门槛券
手把手带您无忧上云