如何将Pandas读取的特定逗号分隔字符串转换为Python字典？

你从CSV中读取到的字符串格式如下：

movie_str = "title = matrix, genre = action, year = 2000, rate = 8"

需要转换为目标字典格式：

movie_dict = {
    "title": "matrix",
    "genre": "action",
    "year": "2000",
    "rate": "8"
}

方法1：基础字符串处理 #

通过分割字符串、遍历键值对的方式生成字典：

movie_str = "title = matrix, genre = action, year = 2000, rate = 8"

# 按逗号加空格分割，得到单个键值对字符串
kv_pairs = movie_str.split(", ")
movie_dict = {}

for pair in kv_pairs:
    # 按" = "分割键和值，去除前后冗余空格
    key, value = pair.split(" = ")
    movie_dict[key.strip()] = value.strip()

print(movie_dict)

方法2：字典推导式（更简洁） #

用字典推导式一行完成转换：

movie_str = "title = matrix, genre = action, year = 2000, rate = 8"

movie_dict = {
    key.strip(): value.strip()
    for pair in movie_str.split(", ")
    for key, value in [pair.split(" = ")]
}

print(movie_dict)

可选：转换数值类型 #

如果需要将year和rate转为数值类型，可追加以下代码：

movie_dict["year"] = int(movie_dict["year"])
movie_dict["rate"] = float(movie_dict["rate"])

内容的提问来源于stack exchange，提问作者Behseini