组合包含字符串和整数值的元组中的值并存储为数据框

Question

我正在构建一个函数，该函数接收公司描述列表，然后输出列表中最常见的三词短语。我已经能够让它输出这样构造的元组字典：

{('technology', 'company', 'provides'): 2,
 ('various', 'industries.', 'company'): 2,
 ('provides', 'software', 'solutions'): 2,
 ('life', 'health', 'insurance'): 2,...}

我想将其转换为 table/dataframe，将字符串连接成一个值，然后创建一个单独的列来存储短语的实例数。

理想的输出是：

Phrase	Occurrence
technology company provides	2
various industries company	2
provides software solutions	2
life health insurance	2

我尝试使用以下方法将元组组合成一个字符串，但它降低了出现次数：

# function that converts tuple to string
def join_tuple_string(descriptions) -> str:
   return ' '.join(descriptions)

# joining all the tuples
result = map(join_tuple_string, descriptions)

# converting and printing the result
print(list(result))

这是输出：

['technology company provides', 
'provides software solutions', 
'product suite includes', 'life health insurance',...]

如何在不丢失出现次数的情况下连接这些值？我希望能够将其导出为 CSV 文件以查看完整列表。

Answer 1

给定：

din = {('technology', 'company', 'provides'): 2,
 ('various', 'industries.', 'company'): 2,
 ('provides', 'software', 'solutions'): 2,
 ('life', 'health', 'insurance'): 2}

In 将按如下方式进行：

def reportValues(d):
    result = []
    for ky, v in d.items():
        result.append([' '.join(ky), v])
    return result 

result = reportValues(din)
for r in result:
    print(f'{r[0]:25}\t{r[1]}')

产生：

technology company provides 2
various industries. company 2
provides software solutions 2
life health insurance       2

Answer 2

import pandas as pd

result = {('technology', 'company', 'provides'): 2,
 ('various', 'industries.', 'company'): 2,
 ('provides', 'software', 'solutions'): 2,
 ('life', 'health', 'insurance'): 2}

df = pd.DataFrame(result.items(), columns=['phrase', 'occurrence'])
df.phrase = df.phrase.str.join(' ')
print(df)
df.to_csv('phrases.csv', index=False)

df 输出：

                        phrase  occurrence
0  technology company provides           2
1  various industries. company           2
2  provides software solutions           2
3        life health insurance           2

csv 文件：

phrase,occurrence
technology company provides,2
various industries. company,2
provides software solutions,2
life health insurance,2

组合包含字符串和整数值的元组中的值并存储为数据框

Combining values in a tuple that contain both string and integers values and storing as a dataframe

python

tuples

type-conversion

dataframe