Question: I have read the csv file into a dataframe using Pandas, the csv format is as follows. I would like to put the rows whose “time column information” is between the interval of `6/3/2011-10/20/2011` into another dataframe. How can I do it efficiently in Pandas?

[![enter image description here](https://i.stack.imgur.com/S1U5Y.png)](https://i.stack.imgur.com/S1U5Y.png)

Answer: 
Try using the below snippet, and confirm if this is what you want.

```css
.scrolling-wrapper {
  overflow-x: scroll;
  overflow-y: hidden;
  white-space: nowrap;
}

.card {
  display: inline-block;
  max-width: 200px;
  white-space: initial;
}
```

```html
<div class="scrolling-wrapper">
  <div class="card">
    <h2>Card content content content content Card content content content content Card content content content content Card content content content content Card content content content content</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
  <div class="card">
    <h2>Card</h2>
  </div>
</div>
```
You can have `float:left` instead of `display:inline-block`

```
.card {
  float: left;
}

```