未能在react-native元素中对齐复选框

Question

我是反应原生的新手，我正在尝试使用来自react-native元素1.00 beta4的所有输入组件创建一个简单的页面。我的问题是我无法在我的文本组件附近对齐复选框，即使父视图flexdirection是在'行'中。

register.js

import React,{ Component } from 'react';
import { Field,reduxForm } from 'redux-form';
import { View,Button } from 'react-native';
import {Icon,CheckBox,Text,Input} from 'react-native-elements';
 const renderField=({label,keyboardType,name,icon,iconType}) => {
    return(
            <View style={{flexDirection:'row'}}>
                <Input placeholder={label} inputContainerStyle={{borderWidth:2,borderColor:'lightgrey',borderRadius:20}} inputStyle={{color:'grey'}} leftIcon={<Icon size={25} type={iconType} name={icon} color="grey" />} errorStyle={{fontSize:15}} errorMessage="error" />
            </View>
    )
}
 const checkBoxField=({label,keyboardType,name}) => {
    return(
            <View style={{flexDirection:'row'}}>
                <Text>{label}</Text>
                <CheckBox  title='Male' checkedIcon='dot-circle-o' uncheckedIcon='circle-o' checked={true} containerStyle={{backgroundColor:'transparent'}} />      
            </View>
    )
}

const RegisterForm=props => {
    const {handleSubmit}=props;
    return(
            <View style={{flex:1,flexDirection:'column',margin:20,justifyContent:'flex-start',alignItems:'center'}}>

                <Field label="Username" component={renderField} name="username" icon="user" iconType="font-awesome" />
                <Field label="Email" component={renderField} name="username" icon="email" iconType="zocial" />
                <Field label="Gender" component={checkBoxField} name="gender"  />
                <Button title='SUBMIT' onPress={handleSubmit} />

            </View>
    )
}
const Register=reduxForm({
    form:'register',
})(RegisterForm);
export default Register;

输出

这里有什么问题？如何对齐我的复选框（使用flexbox算法）

Answer 1

您可以使用flex属性，例如 justifyContent 和 alginItem ，也可以使用文本属性，例如 alignText ，和 alignSelf 。

df = pd.DataFrame({'Time': ['00:06:44', '00:00:34', '00:02:32' ,'00:00:18',
                            '00:03:42', '23:59:58']})

res = pd.to_timedelta(df['Time']).dt.seconds.sum()  # 87228