Question

我有一个从CSV读取的堆积面积图。但是它不能正确渲染x轴和图形。

我尝试更改x轴值，但没有帮助。

下面的

是示例CSV文件。

当前，该视图显示y轴值，右侧显示药物名称，但未显示实际堆积图或日期x轴值。

到目前为止，返回x（d.data.date）=返回NaN。

非常感谢您的帮助！

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-108-293ce740be95> in <module>()
      1 import json
      2 
----> 3 classes = natural_language_classifier.classify_collection('7818d2s519-nlc-1311', [{data_df_1.to_json()}]).get_result()
      4 
      5 print(json.dumps(classes, indent=2))

/opt/conda/envs/DSX-Python35/lib/python3.5/site-packages/watson_developer_cloud/natural_language_classifier_v1.py in classify_collection(self, classifier_id, collection, **kwargs)
    152         if collection is None:
    153             raise ValueError('collection must be provided')
--> 154         collection = [self._convert_model(x, ClassifyInput) for x in collection]
    155 
    156         headers = {}

/opt/conda/envs/DSX-Python35/lib/python3.5/site-packages/watson_developer_cloud/natural_language_classifier_v1.py in <listcomp>(.0)
    152         if collection is None:
    153             raise ValueError('collection must be provided')
--> 154         collection = [self._convert_model(x, ClassifyInput) for x in collection]
    155 
    156         headers = {}

/opt/conda/envs/DSX-Python35/lib/python3.5/site-packages/watson_developer_cloud/watson_service.py in _convert_model(val, classname)
    462             if isinstance(val, str):
    463                 val = json_import.loads(val)
--> 464             val = classname._from_dict(dict(val))
    465         if hasattr(val, "_to_dict"):
    466             return val._to_dict()


ValueError: dictionary update sequence element #0 has length 1736; 2 is required

date,drug,market_share
2016-01-01,insulin lispro,.01
2016-01-01,alogliptin,0.001323754341
2016-01-01,sitagliptin,.01
2016-01-01,canagliflozin,0.02842158621
2016-01-01,glimepiride,0.05668845799
2016-01-01,repaglinide,0.0005768749342
2016-01-01,insulin glargine,.01
2016-01-01,metformin,0.4972895171
2016-01-01,mifepristone,.02
2016-01-01,exenatide,.02
2016-01-01,bromocriptine,0.0002109506723
2016-01-01,pioglitazone,0.02324500184
2016-01-01,metformin hydrochloride,0.392074889
2016-02-01,saxagliptin,.02
2016-02-01,pioglitazone,0.02247815103
2016-02-01,exenatide,0.03
2016-02-01,repaglinide,0.0006204220565
2016-02-01,metformin hydrochloride,0.394153624
2016-02-01,sitagliptin,.08
2016-02-01,insulin lispro,.05
2016-02-01,canagliflozin,0.02907988245
2016-02-01,metformin,0.4933502396
2016-02-01,insulin glargine,.02
2016-02-01,bromocriptine,0.0002076549233
2016-02-01,mifepristone,.02
2016-02-01,alogliptin,0.001364306972
2016-02-01,glimepiride,0.05857620484
2016-03-01,canagliflozin,0.02908102306
2016-03-01,bromocriptine,0.000195238081
2016-03-01,metformin,0.4966376769
2016-03-01,alogliptin,0.00133532899
2016-03-01,insulin glargine,.03
2016-03-01,sitagliptin,.04

Answer 1

您正确地解析了日期字符串。但是，在此功能中...

Object.keys(stackedByDate).forEach(function (key) {
    hash = {}
    hash['date'] = key;//<----- HERE
    Object.keys(stackedByDate[key]).forEach(function (innerKey) {
        hash[innerKey] = stackedByDate[key][innerKey]
    });
    newData.push(hash);
});

...您正在将日期对象再次转换回字符串。

最快的解决方案是：

hash['date'] = new Date(key);

仅此更改是您的代码：https://bl.ocks.org/GerardoFurtado/e9538de82e96cc9e3efb5fc4c7b9b970/5ca6920405243c39b93d0245230b955c37c85a2c

堆积面积图未呈现

1 个答案: