Skip to main content

on hover card should scale out of swiper

I'm trying to build a swiper just like a Netflix, and trying to achieve the same hover effect. But when I'm hovering over the card, its not scaling out of swiper and stays inside the swiper container.

Below is my code.

<!DOCTYPE html>
<html >
  <head>
    <meta charset="utf-8" />
    <title>Swiper demo</title>
    <meta
      name="viewport"
      content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1"
    />
    <!-- Link Swiper's CSS -->
    <link
      rel="stylesheet"
      href="https://cdn.jsdelivr.net/npm/swiper@10/swiper-bundle.min.css"
    />

    <!-- Demo styles -->
    <style>
      html,
      body {
        position: relative;
        height: 100%;
      }

      body {
        background: #1e1e27;
        font-family: Helvetica Neue, Helvetica, Arial, sans-serif;
        font-size: 14px;
        color: #000;
        margin: 0;
        /* padding: 0; */
        padding-top: 370px;
      }

      .swiper {
        width: 100%;
        height: 200px;
      }

      .swiper-slide {
        text-align: center;
        font-size: 18px;
        background: #fff;
        display: flex;
        justify-content: center;
        align-items: center;

        border: 0;
        position: relative;
        -webkit-transition: all 200ms ease-in;
        -webkit-transform: scale(1);
        -ms-transition: all 200ms ease-in;
        -ms-transform: scale(1);
        -moz-transition: all 200ms ease-in;
        -moz-transform: scale(1);
        transition: all 200ms ease-in;
        transform: scale(1);
      }

      .swiper-slide:hover {
        box-shadow: 0px 0px 150px #000000;
        z-index: 50;
        -webkit-transition: all 200ms ease-in;
        -webkit-transform: scale(1.2);
        -ms-transition: all 200ms ease-in;
        -ms-transform: scale(1.2);
        -moz-transition: all 200ms ease-in;
        -moz-transform: scale(1.2);
        transition: all 200ms ease-in;
        transform: scale(1.5);
        
      }

      .swiper-slide img {
        display: block;
        width: 100%;
        height: 100%;
        object-fit: cover;
      }
    </style>
  </head>

  <body>
    <!-- Swiper -->
    <div class="swiper mySwiper">
      <div class="swiper-wrapper">
        <div class="swiper-slide">Slide 1</div>
        <div class="swiper-slide">Slide 2</div>
        <div class="swiper-slide">Slide 3</div>
        <div class="swiper-slide">Slide 4</div>
        <div class="swiper-slide">Slide 5</div>
        <div class="swiper-slide">Slide 6</div>
        <div class="swiper-slide">Slide 7</div>
        <div class="swiper-slide">Slide 8</div>
        <div class="swiper-slide">Slide 9</div>
      </div>
      <div class="swiper-pagination"></div>
    </div>

    <!-- Swiper JS -->
    <script src="https://cdn.jsdelivr.net/npm/swiper@10/swiper-bundle.min.js"></script>

    <!-- Initialize Swiper -->
    <script>
      var swiper = new Swiper(".mySwiper", {
        slidesPerView: 6,
        spaceBetween: 30,
        pagination: {
          el: ".swiper-pagination",
          clickable: true,
        },
      });
    </script>
  </body>
</html>

Current hover effect

And

Netflix hover effect

Please review it, and give suggestions.

Its scaling inside the container only and not coming out of swiper.

Via Active questions tagged javascript - Stack Overflow https://ift.tt/1ft4IKP

Labels

Labels:

Comments

Post a Comment

Popular posts from this blog

How to show number of registered users in Laravel based on usertype?

i'm trying to display data from the database in the admin dashboard i used this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count(); echo $users; ?> and i have successfully get the correct data from the database but what if i want to display a specific data for example in this user table there is "usertype" that specify if the user is normal user or admin i want to user the same code above but to display a specific usertype i tried this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count()->WHERE usertype =admin; echo $users; ?> but it didn't work, what am i doing wrong? source https://stackoverflow.com/questions/68199726/how-to-show-number-of-registered-users-in-laravel-based-on-usertype
Post a Comment
Read more

Why is my reports service not connecting?

I am trying to pull some data from a Postgres database using Node.js and node-postures but I can't figure out why my service isn't connecting. my routes/index.js file: const express = require('express'); const router = express.Router(); const ordersCountController = require('../controllers/ordersCountController'); const ordersController = require('../controllers/ordersController'); const weeklyReportsController = require('../controllers/weeklyReportsController'); router.get('/orders_count', ordersCountController); router.get('/orders', ordersController); router.get('/weekly_reports', weeklyReportsController); module.exports = router; My controllers/weeklyReportsController.js file: const weeklyReportsService = require('../services/weeklyReportsService'); const weeklyReportsController = async (req, res) => { try { const data = await weeklyReportsService; res.json({data}) console...
Post a Comment
Read more

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...
Post a Comment
Read more