document.addEventListener('DOMContentLoaded', function () {
if ('loading' in HTMLImageElement.prototype) {
const images = document.querySelectorAll('img[loading="lazy"]');
images.forEach(img => {
img.src = img.dataset.src;
});
} else {
if (!('IntersectionObserver' in window)) {
const images = document.querySelectorAll('img[loading="lazy"]');
images.forEach(img => {
img.src = img.dataset.src;
});
} else {
const lazyImageObserver = new
<ul class="js_top_gallery">
<li class="js_top_gallery_item"><a href="./images/top/gallery/gallery01.jpg"><img
src="./images/top/gallery/gallery01.jpg" alt=""></a></li>
<li class="js_top_gallery_item"><a href="./images/top/gallery/gallery02.jpg"><img
src="./images/top/gallery/gallery02.jpg" alt=""></a></li>
</ul>
.bg_square {
position: relative;
background: #f6f2eb;
}
.bg_square::after {
content: "";
position: absolute;
height: 7rem;
width: 100%;
clip-path: polygon(0 0, 50% 100%, 100% 0);
background: #f6f2eb;
left: 0;
bottom: -7rem;
}
【MAYA】シェイプノードのみをペアレント
1:アウトライナ → ディスプレイ → □シェイプ にチェック
2:シェイプノード → トランスフォームノード の順番で選択
3:「parent -r -s」を実行
https://www.missioncloud.com/blog/get-started-with-amazon-redshift-stored-procedures
https://www.youtube.com/watch?v=qKxytMuUiJA
// https://stackoverflow.com/questions/44106907/when-to-mark-function-as-async
async function fnUsingAsync() {
// Synchronously throw half of the time
if (Math.random() < .5)
throw new Error('synchronous error')
// Return fulfilled/rejected promises half of the time
return Math.random() < .5 ?
Promise.resolve('success') :
Promise.reject(new Error('asynchronous error');
}
function fnNotUsingAsync(x) {
// Use the exact same body here tha
SELECT
postref,
pr_codenum,
pr_descrip,
fi_origpostref,
jo_closed,
Brand,
ROUND(SUM(quantity), 5) AS completed,
Stage
FROM
(
SELECT
dbo.dtfifo.fi_id AS id,
RTRIM(dbo.dtfifo.fi_postref) AS postref,
RTRIM(dbo.dtfifo.fi_action) AS action,
RTRIM(dbo.dmprod.pr_codenum) AS pr_codenum,
dbo.dmprod.pr_descrip,
dbo.dtfifo.fi_quant AS quantity,
'JJ-' + REPLACE(RT
SELECT
postref,
pr_codenum,
pr_descrip,
fi_userlot,
fi_origpostref,
Stage,
ROUND(SUM(quantity), 5) AS relieved,
MIN(Date) AS Date
FROM
(
SELECT
dbo.dtfifo2.f2_id AS id,
RTRIM(dbo.dtfifo2.f2_postref) AS postref,
RTRIM(dbo.dtfifo2.f2_action) AS action,
RTRIM(dbo.dmprod.pr_codenum) AS pr_codenum,
dbo.dmprod.pr_descrip,
dbo.dtfifo2.f2_oldquan - dbo.dtfifo2.f2_newquan A
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Question and Answer App</title>
<style>
#question-container {
text-align: center;
margin-top: 50px;
}
#answer-container {
display: none;
}
</style>
</head>
<body>
<div id="question-container">
<h1>Question:</h1>
<p id="question"></p>
<div id="answer-container">
<h2>Answer:</h2>
<p id="answer"></p>
</div>
</div>
<script>
/**
* @param {string} word
* @param {character} ch
* @return {string}
*/
var reversePrefix = function(word, ch) {
// Find the index of the first occurrence of 'ch' in 'word'
var index = word.indexOf(ch);
// If 'ch' is not in 'word', return 'word' as is
if (index === -1) {
return word;
}
// If 'ch' is in 'word', reverse the segment from index 0 to 'index' (inclusive)
// Slice the segment from 'word', reverse it, and join it back into a string
var reve
# Facet plots
```python
df.plot(subplots = True,
linewidth = 0.5,
layout = (2, 4),# number of rows and columns to use. Totals must be greater or equal to the number of time series in dataframe.
figsize = (16,10), #specify the total size of your graph (which will contain all subgraphs) using the figsize argument.
sharex = False, # specify if each subgraph should share the values of their x-axis and y-axis using the sharex and sharey arguments.
sharey = False) ## specify if each subgraph sh
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"toc": "true"
},
"source": [
"# Table of Contents\n",
" <p><div class=\"lev1 toc-item\"><a href=\"#Utility-Functions\" data-toc-modified-id=\"Utility-Functions-1\"><span class=\"toc-item-num\">1 </span>Utility Functions</a></div><div class=\"lev1 toc-item\"><a href=\"#MNIST\" data-toc-modified-id=\"MNIST-2\"><span class=\"toc-item-num\">2 </span>MNIST</a></div><div class=\"lev2 toc-ite
# Flexera App Portal Web Extension Design Flow
### Disclaimer
The information provided in this documentation was neither created by, nor is supported by, Flexera. It is my understanding of how the product works based on objective data.
### Preface
This understanding makes the following assumptions:
- The web browser is Microsoft Edge.
- The 32-bit web extension supporting files are installed. (MSI)
- The web extension is installed in the browser. (CRX)
- The primary computer name di
# Histograms
Histograms allows to inspect the data and uncover its underlying distribution, as well as the presence of outliers and overall spread.
## Histogram using matplotlib
```python
# import matplotlib.pyplot as plt
# import pandas as pd
ax = df['col'].plot(kind = "hist", bins = 20)
ax.set_xlabel("xlabel")
ax.set_ylabel("ylabel")
ax.set_title("title")
plt.show()
```
## Histograms using seaborn
```python
import seaborn as sns
import matplotlib.pyplot as plt
sns.histplot(data = df, x = 'n
```python
# Aggregate value over time period
# --------------------------------
# > 0. Check index is datetime object
df = df.set_index('dte_col')
# > 1. Extract month/year
month = df.index.month # year = df.index.year
# > 2. Compute aggregate data
agg_dta = df.groupby(month).mean()
```