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python - pandas to_json 将日期格式更改为“纪元时间”

问题描述

每当我将dataFrame转换为_json时，任何日期格式都会更改为“纪元时间”

[{"idNo":1234567891012,"Name":"Jack","genderType":"male","Date":1544572800000,"branchName":"NY","location":"loc1","pCode":123}] 原始日期是 Date:2018-12-12

我的python代码

@app.route("/fileviewer/" , methods=["GET" , "POST"])
def fileviewer(name):
dest = (file_destination)
df = pd.read_excel(dest)
print(df)
x1=df.to_json(orient ='records')
print(x1)
render_template('fileviewer.html',x=df.to_html())
return render_template('fileviewer.html',x=x1)

df打印良好

x1印有“纪元时间”

标签： pythonpandasflask

解决方案

您可以使用以下选项更改格式date_format：

>>> df = pandas.DataFrame([
    {'A' : 0, 't' : datetime.datetime(2018, 1, 2)},
    {'A' : 1, 't' : datetime.datetime(2018, 1, 5)},
    {'A' : 2, 't' : datetime.datetime(2018, 1, 7)}
])
>>> df.to_json(date_format = 'iso')
'{"A":{"0":0,"1":1,"2":2},"t":{"0":"2018-01-02T00:00:00.000Z","1":"2018-01-05T00:00:00.000Z","2":"2018-01-07T00:00:00.000Z"}}'

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