Python：无法将 json 格式（字典）值放入列表

Question

我试图从 json 输入中提取一组日期值。 当我完成F_Date的提取时，它是正确的。

2020-05-20T00:00:00
2020-05-18T00:00:00
2020-05-15T00:00:00
2020-05-13T00:00:00

我设置了一个列表来包含这些值，所以我想使用List[0]之类的列表索引来获取列表中的第一个值或列表中的其他值以用于进一步的目的。 然而，它失败了。 它给了我一列第一个字符。 如果我尝试List[1] ，它给了我一列0而不是2020-05-18T00:00:00 ，这正是我想要的。 知道我的代码有什么问题吗？ 我对F_Date现在是什么类型感到困惑，它不是列表吗？

提前致谢。

F_Date = []
for cell in json["Cells"]:
    if cell["ColumnName"] == "T":
        if cell["RowIndex"] + 1 > 9:
            F_Date = cell["DisplayValue"]
            print(F_Date[0])


output:
2
2
2
2

Json：

json =    {
            "SheetName": "price",
            "SheetIndex": 4,
            "Cells": [
                {
                    "ColumnName": "T",
                    "RowName": "10",
                    "Address": "T10",
                    "ColumnIndex": 19,
                    "RowIndex": 9,
                    "Value": "2020-05-20T00:00:00",
                    "DisplayValue": "2020-05-20T00:00:00",
                    "ValueType": "Date"
                },
                {
                    "ColumnName": "U",
                    "RowName": "10",
                    "Address": "U10",
                    "ColumnIndex": 20,
                    "RowIndex": 9,
                    "Value": 2.75,
                    "DisplayValue": 2.75,
                    "ValueType": "Numeric"
                },
                {
                    "ColumnName": "V",
                    "RowName": "10",
                    "Address": "V10",
                    "ColumnIndex": 21,
                    "RowIndex": 9,
                    "Value": 2.15,
                    "DisplayValue": 2.15,
                    "ValueType": "Numeric"
                },
                {
                    "ColumnName": "T",
                    "RowName": "11",
                    "Address": "T11",
                    "ColumnIndex": 19,
                    "RowIndex": 10,
                    "Value": "2020-05-18T00:00:00",
                    "DisplayValue": "2020-05-18T00:00:00",
                    "ValueType": "Date"
                },
                {
                    "ColumnName": "U",
                    "RowName": "11",
                    "Address": "U11",
                    "ColumnIndex": 20,
                    "RowIndex": 10,
                    "Value": 2.75,
                    "DisplayValue": 2.75,
                    "ValueType": "Numeric"
                },
                {
                    "ColumnName": "V",
                    "RowName": "11",
                    "Address": "V11",
                    "ColumnIndex": 21,
                    "RowIndex": 10,
                    "Value": 2.15,
                    "DisplayValue": 2.15,
                    "ValueType": "Numeric"
                },
                {
                    "ColumnName": "T",
                    "RowName": "12",
                    "Address": "T12",
                    "ColumnIndex": 19,
                    "RowIndex": 11,
                    "Value": "2020-05-15T00:00:00",
                    "DisplayValue": "2020-05-15T00:00:00",
                    "ValueType": "Date"
                },
                {
                    "ColumnName": "U",
                    "RowName": "12",
                    "Address": "U12",
                    "ColumnIndex": 20,
                    "RowIndex": 11,
                    "Value": 2.75,
                    "DisplayValue": 2.75,
                    "ValueType": "Numeric"
                },
                {
                    "ColumnName": "V",
                    "RowName": "12",
                    "Address": "V12",
                    "ColumnIndex": 21,
                    "RowIndex": 11,
                    "Value": 2.15,
                    "DisplayValue": 2.15,
                    "ValueType": "Numeric"
                },
                {
                    "ColumnName": "T",
                    "RowName": "13",
                    "Address": "T13",
                    "ColumnIndex": 19,
                    "RowIndex": 12,
                    "Value": "2020-05-13T00:00:00",
                    "DisplayValue": "2020-05-13T00:00:00",
                    "ValueType": "Date"
                }
        ]}

Answer 1

您需要做的就是打印 F_Date 而不是 F_Date[0] ，它只将第一个字符打印为字符串，可以解释为字符列表，并且您正在打印索引 0。

print(F_Date)

如果您对 F_Date 是什么感到困惑，则 F_Date 是您的日期字符串，因为它是您获得的字典中键的值。

F_Date = []
for cell in json["Cells"]:
    if cell["ColumnName"] == "T":
        if cell["RowIndex"] + 1 > 9:
            F_Date = cell["DisplayValue"] # Here you set F_Date to the value 
            print(F_Date[0])

我想你要做的是这个

F_Date = []
for cell in json["Cells"]:
    if cell["ColumnName"] == "T":
        if cell["RowIndex"] + 1 > 9:
            F_Date.append(cell["DisplayValue"]) 
            print(cell["DisplayValue"])