熊猫加载JSON文件DatetimeIndex并且不浮动

Question

I have the following JSON file which I saved from a pandas dataframe:

{
  "A": {
    "69.0": 0,
    "69.5": 0,
    "70.0": 0,
    "70.5": 0,
    "71.0": 0
  },
  "B": {
    "69.0": 1,
    "69.5": 2,
    "70.0": 3,
    "70.5": 4,
    "71.0": 5
  },
  "C": {
    "69.0": 1,
    "69.5": 1,
    "70.0": 1,
    "70.5": 1,
    "71.0": 1
  }
}

When I run

df = pd.read_json("df.json")

I get the dataframe but the index is a DatetimeIndex and df.tail() returns:

A  B  C
1970-01-01 00:01:09.000  0  1  1
1970-01-01 00:01:09.500  0  2  1
1970-01-01 00:01:10.000  0  3  1
1970-01-01 00:01:10.500  0  4  1
1970-01-01 00:01:11.000  0  5  1

I want the index to be a float and not a DatetimeIndex . How can I load the JSON with the correct index type? I cannot change the original JSON.

Thanks

Answer 1

Assuming you have the following dictionary :

In [101]: d
Out[101]:
{'A': {'69.0': 0, '69.5': 0, '70.0': 0, '70.5': 0, '71.0': 0},
 'B': {'69.0': 1, '69.5': 2, '70.0': 3, '70.5': 4, '71.0': 5},
 'C': {'69.0': 1, '69.5': 1, '70.0': 1, '70.5': 1, '71.0': 1}}

you can construct a DF as follows:

In [102]: pd.DataFrame(d)
Out[102]:
      A  B  C
69.0  0  1  1
69.5  0  2  1
70.0  0  3  1
70.5  0  4  1
71.0  0  5  1