https://codesandbox.io/s/polished-bird-662mh?from-embed
我有一个对象数组和一个具有以下结构的对象
this.state = {
arr : [ {
id: "val1",
initialVal: "test1",
finalVal: "final1"
},
{
id: "val2",
initialVal: "test2",
finalVal: "final2"
},
{
id: "val3",
initialVal: "test3",
finalVal: "final3"
},
{
id: "val4",
initialVal: "test4",
finalVal: "final4"
}
],
values: [ "test1","test3"]
}
this.obj = { field: "test1" , val:6}
我正在编写一个函数,将该obj作为其参数,并基于“ field”值,应通过以下计算将obj的“ val”属性设置为“ finalVal”状态(如果val大于5在字段中添加“ ok”,否则添加“ cancel”),其属性在“ values”状态数组中不匹配的对象的“ finalVal”应设置为空白
因此输出应注意设置状态:
[
{
id: "val1",
initialVal: "test1",
finalVal: "ok"
},
{
id: "val2",
initialVal: "test2"
finalVal: "final2"
},
{
id: "val3",
initialVal: "test3"
finalVal: ""
},
{
id: "val4",
initialVal: "test4"
finalVal: "final4"
}
]
//What I have tried so far
setObjState = obj => {
let arr = [...this.state.arr];
let finalArr = arr.map(function(item) {
if (item.initialVal === obj.field) {
return { ...item, finalVal: obj.val > 5 ? "Ok" : "Cancel" };
} else {
if(this.state.values.includes(item.id){
return { ...item, finalVal: "" };
}
}
});
console.log(finalArr);
this.setState({ arr: finalArr });
}
答案 0 :(得分:1)
您缺少else
条件:
setObjState = obj => {
let arr = [...this.state.arr];
let finalArr = arr.map(item => {
if (item.initialVal === obj.field) {
return { ...item,
finalVal: obj.val > 5 ? "Ok" : "Cancel"
};
} else {
if (this.state.values.includes(item.id)) {
return { ...item,
finalVal: ""
};
} else {
return { ...item
};
}
}
});
console.log(finalArr);
this.setState({
arr: finalArr
});
};
这是您推荐的Working CodeSandbox Sample。
答案 1 :(得分:1)
您可以使用以下方法大大简化该功能:
setObjState = obj => {
// create a new Array of items
const arr = this.state.arr.map(item => {
// determine the value
const value = obj.val > 5 ? 'ok' : 'cancel';
// set value or empty value
const finalVal = item.initialVal === obj.field ? value : '';
// return new object with finalVal
return {
...item,
finalVal,
};
});
this.setState({ arr });
};
答案 2 :(得分:1)
如果没有if条件通过,则需要一个final else块,以使您可以按原样返回该项目:
我还认为您正在尝试检查item.initialVal,因为它实际上具有测试编号。
df['new_date'] = df['orig_date'] + df['offset'].astype('timedelta64[D]'))