Python 当数据帧中的值为null时，如何删除json对象中的元素？

我得到了这样一个数据帧：

   data
0  {"a": null, "b": 12, "c": null}
1  {"a": 15, "b": 12, "c": null}
2  {"a": 23, "b": 8, "c": null}
3  {"a": 5, "b":null, "c": null}

   data
0  {"b": 12}
1  {"a": 15, "b": 12}
2  {"a": 23, "b": 8}
3  {"a": 5}

如果值为null，是否可以删除元素

输出如下所示：

   data
0  {"a": null, "b": 12, "c": null}
1  {"a": 15, "b": 12, "c": null}
2  {"a": 23, "b": 8, "c": null}
3  {"a": 5, "b":null, "c": null}

   data
0  {"b": 12}
1  {"a": 15, "b": 12}
2  {"a": 23, "b": 8}
3  {"a": 5}

那么：

data = """[
{"a": null, "b": 12, "c": null},
{"a": 15, "b": 12, "c": null},
{"a": 23, "b": 8, "c": null},
{"a": 5, "b":null, "c": null}
]"""
data = eval(data.replace("null", '"null"'))
fixed_rows = [{key: val for key, val in row.items() if val != "null"} for row in data]

那么：

data = """[
{"a": null, "b": 12, "c": null},
{"a": 15, "b": 12, "c": null},
{"a": 23, "b": 8, "c": null},
{"a": 5, "b":null, "c": null}
]"""
data = eval(data.replace("null", '"null"'))
fixed_rows = [{key: val for key, val in row.items() if val != "null"} for row in data]

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没有生成DataFrame元素仍然存在没有生成DataFrame元素仍然存在