博客
关于我
强烈建议你试试无所不能的chatGPT,快点击我
Ionic Grid栅格布局居中实例
阅读量:4287 次
发布时间:2019-05-27

本文共 159 字,大约阅读时间需要 1 分钟。

一、目录结构

二、引用指定

    

三、代码说明

1.默认row下的col都是平均分布一行,row仅代表一行

2.responsive-sm可以指定在小屏幕时每个col代表一行

3.默认button为inline-block类型,所以想要一行内居中,可以使用text-center

4.当button指定

你可能感兴趣的文章
【论文笔记】
查看>>
论文笔记_Pay Attention to MLPs
查看>>
【论文笔记】
查看>>
论文笔记
查看>>
论文笔记 | Attention-based LSTM for Aspect-level Sentiment Classification
查看>>
【论文笔记】Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
查看>>
论文笔记|Bidirectional LSTM-CRF Models for Sequence Tagging
查看>>
论文笔记:Constructing Narrative Event Evolutionary Graph for Script Event Prediction
查看>>
论文笔记: Hierarchical Chinese Legal event extraction via Pedal Attention Mechanism
查看>>
论文笔记 | Enhancing Pre-Trained Language Representations with Rich Knowledge for MRC
查看>>
论文笔记 | Text Summarization with Pretrained Encoders
查看>>
论文笔记:Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker
查看>>
论文笔记丨Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering
查看>>
论文笔记|GSum: A General Framework for Guided Neural Abstractive Summarization
查看>>
论文笔记 | Does Structure Matter? Encoding Documents for Machine Reading Comprehension
查看>>
论文笔记|Self-Supervised Test-Time Learning for Reading Comprehension
查看>>
论文笔记|Open-world Learning and Application to Product Classification
查看>>
论文笔记 _ ELECTRA_ Pre-training Text Encoders as Discriminators Rather than Generators
查看>>
【论文笔记】
查看>>
论文笔记:Exploring Pre-trained Language Models for Event Extraction and Generation
查看>>