我一直在努力通过样式组件从父组件样式化子组件 下面是代码。 我评论了我在哪里挣扎以及想要实现什么。styled-components文档无济于事。
Codesandbox链接: https://codesandbox.io/s/adoring-pare-exjjt?file=/src/App.js
import React from 'react';
import { render } from "react-dom";
import styled from 'styled-components'
import { Button, Grid ,Container} from 'semantic-ui-react'
import PropTypes from 'prop-types'
const mID = 'test'
const StyledBlock = styled(Container)`
{/*i don't want to style here */}
/* height: 450px;
background-color: #f7f7f7;
@media only screen and (max-width: 767px) and (min-width: 320px) {
height: 550px;
} */
`
const StyledSection = styled.section`
background: #ffffff;
box-shadow: 0px 1px 0px #dfdfdf;
margin: 12% 10% 10% 30%;
height: 150px;
width: 170px;
@media only screen and (max-width: 767px) and (min-width: 320px) {
margin: 10% 0 25% 25%;
width: 172px;
}
`
const Header = styled.h4`
text-align: center;
position: relative;
top: 10%;
`
const StyledButton = styled(Button)`
position: relative;
bottom: -60px;
margin: 0px;
width: 100%;
top: 9.32%;
`
const Report = (name) => {
const handleClick = async (e) => {
console.log(e)
}
return (
<Grid.Column key={name} className={`${mID}_preview`}>
<StyledSection>
<Header>{name}</Header>
<StyledButton secondary onClick={() => handleClick(name)} >
Download
</StyledButton>
</StyledSection>
</Grid.Column>
)
}
const Reports = () => {
return(
<Container>
<StyledBlock>
<Grid>
<Grid.Row>{["deen","john"].map((name) => Report(name))}</Grid.Row>
</Grid>
</StyledBlock>
</Container>
)}
Reports.propTypes = {
names: PropTypes.array,
onlineShowId: PropTypes.number
}
//below code is not able to pass css. don't see these css anywhere applied . why ?
const StyledReports = styled(Reports)`
background-color: yellow
.${mID} {
&_preview {
color: red
}
}
${StyledBlock}{
background-color: red
}
`
render(<StyledReports />, document.getElementById("root"))
答案 0 :(得分:0)
我想出了办法
您需要在这样的父组件上具有className
res %>%
group_by(expr) %>%
nest() %>%
mutate(model = map(data, ~lm(median ~ n, data = .x))) %>%
ungroup() %>%
transmute(expr, beta = map_dbl(model, ~coefficients(.x)[[2]]))
# A tibble: 3 x 2
# expr beta
# <fct> <dbl>
# 1 matchFun 0.00193
# 2 whichFun 0.00332
# 3 vec_repl 0.00122