{"reviewerID": "A11N155CW1UV02", "asin": "B000H00VBQ", "reviewerName": "AdrianaM", "helpful": [0, 0], "reviewText": "I had big expectations because I love English TV, in particular Investigative and detective stuff but this guy is really boring. It didn't appeal to me at all.", "overall": 2.0, "summary": "A little bit boring for me", "unixReviewTime": 1399075200, "reviewTime": "05 3, 2014"} {"reviewerID": "A3BC8O2KCL29V2", "asin": "B000H00VBQ", "reviewerName": "Carol T", "helpful": [0, 0], "reviewText": "I highly recommend this series. It is a must for anyone who is yearning to watch \"grown up\" television. Complex characters and plots to keep one totally involved. Thank you Amazin Prime.", "overall": 5.0, "summary": "Excellent Grown Up TV", "unixReviewTime": 1346630400, "reviewTime": "09 3, 2012"} 这是excel中的两行，我如何读取reviewText的内容

要读取Excel文件中的`reviewText`内容，您可以使用`pandas`库来读取Excel文件并将其转换为DataFrame，然后获取所需的列。以下是一个示例代码：

import pandas as pd

# 从Excel文件读取数据
df = pd.read_excel('your_file_path.xlsx')

# 获取'reviewText'列的值
review_texts = df['reviewText'].tolist()

# 打印每个'reviewText'的内容
for review_text in review_texts:
    print(review_text)

在上面的代码中，您需要将`your_file_path.xlsx`替换为实际的文件路径。然后，使用`df['reviewText']`可以获取'reviewText'列的值，并使用`tolist()`方法将其转换为列表。最后，您可以遍历列表并打印每个'reviewText'的内容。

希望这对您有所帮助！如果您有其他问题，请随时提问。

相关问题

我要用python读取{"reviewerID": "A11N155CW1UV02", "asin": "B000H00VBQ", "reviewerName": "AdrianaM", "helpful": [0, 0], "reviewText": "I had big expectations because I love English TV, in particular Investigative and detective stuff but this guy is really boring. It didn't appeal to me at all.", "overall": 2.0, "summary": "A little bit boring for me", "unixReviewTime": 1399075200, "reviewTime": "05 3, 2014"}中的reviewText

要使用Python读取给定的JSON字符串中的`reviewText`，您可以使用`json`模块解析JSON数据并获取所需的值。下面是一个示例代码：

import json

json_data = '{"reviewerID": "A11N155CW1UV02", "asin": "B000H00VBQ", "reviewerName": "AdrianaM", "helpful": [0, 0], "reviewText": "I had big expectations because I love English TV, in particular Investigative and detective stuff but this guy is really boring. It didn\'t appeal to me at all.", "overall": 2.0, "summary": "A little bit boring for me", "unixReviewTime": 1399075200, "reviewTime": "05 3, 2014"}'

# 解析JSON数据
data = json.loads(json_data)

# 获取reviewText的值
review_text = data['reviewText']

print(review_text)

运行此代码将输出：

I had big expectations because I love English TV, in particular Investigative and detective stuff but this guy is really boring. It didn't appeal to me at all.

这样，您就可以成功读取JSON数据中的`reviewText`值了。希望对您有所帮助！如果您有任何其他问题，请随时提问。

{"reviewerID": "A11N155CW1UV02", "asin": "B000H00VBQ", "reviewerName": "AdrianaM", "helpful": [0, 0], "reviewText": "I had big expectations because I love English TV, in particular Investigative and detective stuff but this guy is really boring. It didn't appeal to me at all.", "overall": 2.0, "summary": "A little bit boring for me", "unixReviewTime": 1399075200, "reviewTime": "05 3, 2014"} 这样格式的数据集一般怎么样导成数据框？

你可以使用Python中的pandas库来将这样格式的数据集导入为数据框。首先，你需要将数据集转换为字典的列表形式，每个字典代表一个数据点。然后，你可以使用pandas的DataFrame函数将列表转换为数据框。下面是一个示例代码：

import pandas as pd

data = [
    {
        "reviewerID": "A11N155CW1UV02",
        "asin": "B000H00VBQ",
        "reviewerName": "AdrianaM",
        "helpful": [0, 0],
        "reviewText": "I had big expectations because I love English TV, in particular Investigative and detective stuff but this guy is really boring. It didn't appeal to me at all.",
        "overall": 2.0,
        "summary": "A little bit boring for me",
        "unixReviewTime": 1399075200,
        "reviewTime": "05 3, 2014"
    }
]

df = pd.DataFrame(data)

这将创建一个名为`df`的数据框，其中包含了你提供的示例数据。你可以根据需要添加更多的数据点到`data`列表中，然后再转换为数据框。