pshapiro

add_action( 'amp_post_template_head', 'amp_post_template_add_analytics_js' );
function amp_post_template_add_analytics_js( $amp_template ) {
	$post_id = $amp_template->get( 'post_id' );
	?>
	<script async custom-element="amp-analytics" src="https://cdn.ampproject.org/v0/amp-analytics-0.1.js"></script>
	<?php
}

add_action( 'amp_post_template_footer', 'xyz_amp_add_analytics' );

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# Edit AMP Plugin file: amp/includes/class-amp-post-template.php

/*
Change this bit of code to the below uncommented code:

	$image_metadata = $this->get_post_image_metadata();
		if ( $image_metadata ) {
			$metadata['image'] = $image_metadata;
		}

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/* Edit the class-amp-post-template.php file, either via FTP or within your WordPress Dashboard (go to Plugins > Editor and then select “AMP”) and change this:

if ( $site_icon_url ) {
$metadata['publisher']['logo'] = array(
'@type' => 'ImageObject',
'url' => $site_icon_url,
'height' => self::SITE_ICON_SIZE,
'width' => self::SITE_ICON_SIZE,
);
}

pshapiro

library("igraph")
# Swap out path to your Screaming Frog All Outlink CSV. For Windows, remember to change backslashes to forward slashes.
links <- read.csv("C:/Documents/screaming-frog-all-outlinks.csv", skip = 1) # CSV Path
# This line of code is optional. It filters out JavaScript, CSS, and Images. Technically you should keep them in there.
links <- subset(links, Type=="AHREF") # Optional line. Filter.
links <- subset(links, Follow=="true")
links <- subset(links, select=c(Source,Destination))
g <- graph.data.frame(links)
pr <- page.rank(g, algo = "prpack", vids = V(g), directed = TRUE, damping = 0.85)
values <- data.frame(pr$vector)

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library("igraph")
internallinks <- read.csv("C:/Users/username/folder/screamingfrog-all-inlinks.csv")
g <- graph.data.frame(internallinks)
pr <- page.rank(g, algo = "prpack", vids = V(g), directed = TRUE, damping = 0.85)
values <- data.frame(pr$vector)
write.csv(values, file = "output-pagerank.csv")

map <- function(x, range = c(0,1), from.range=NA) {
    if(any(is.na(from.range))) from.range <- range(x, na.rm=TRUE)
    

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# library imports

import pandas as pd
from bokeh.io import output_notebook, show
from bokeh.plotting import figure, output_file, ColumnDataSource
from bokeh.models import HoverTool, BoxAnnotation, BoxSelectTool, BoxZoomTool, WheelZoomTool, ResetTool
from bokeh.resources import CDN
from bokeh.embed import file_html

# Import csv into pandas dataframe, direct to KNIME version to follow

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# Requires pandas. For Windows users, I recommend installing the Anaconda Python distirbution.
# Requires the pytrends library. To install, run "pip install pytrends".
from pytrends.pyGTrends import pyGTrends
import time
import os
from random import randint
import pandas as pd

# Add your Gmail username to the google_username variable and your Gmail password to the google_password variable.
google_username = ""

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library(igraph)
map <- function(x, range = c(0,1), from.range=NA) {
    if(any(is.na(from.range))) from.range <- range(x, na.rm=TRUE)
    
    ## check if all values are the same
    if(!diff(from.range)) return(
	    matrix(mean(range), ncol=ncol(x), nrow=nrow(x), 
		    dimnames = dimnames(x)))
    
    ## map to [0,1]

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import requests
import json
import csv
import os

# For details about AMPBench and the API:
# https://github.com/ampproject/ampbench

urlinput = os.path.join(os.path.dirname(__file__), input('Enter input text file: '))
urls = open(urlinput, "r")

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// Source: https://www.simoahava.com/analytics/google-analytics-client-id-amp-pages/
// REST API for GTM container
add_action( 'rest_api_init', function() {
    register_rest_route( 
        'amp-gtm',
        '/amp.json',
        array(
            'methods' => 'GET',
            'callback' => 'retrieve_gtm_json',
        )