stock

Could someone please point me in the right direction with respect to OHLC data timeframe conversion with Pandas ? What I'm trying to do is build a Dataframe with data for higher timeframes, given data with lower timeframe. For example, given I have the following one-minute (M1) data: Open High Low Close Volume Date 1999-01-04 10:22:00 1.1801 1.1819 1.1801 1.1817 4 1999-01-04 10:23:00 1.1817 1.1818 1.1804 1.1814 18 1999-01-04 10:24:00 1.1817 1.1817 1.1802 1.1806 12 1999-01-04 10:25:00 1.1807 1.1815 1.1795 1.1808 26 1999-01-04 10:26:00 1.1803 1.1806 1.1790 1.1806 4 1999-01-04 10:27:00 1.1801 1

IN woocommerce I would like to display the total stock of all variations in a variable product. The stock of each product variation is managed at the product variation level. If I use for a variable product: global $product; echo $product->get_stock_quantity(); I don't get the total stock of all variations of this product. Is it possible to get the total stock of all variations from a variable product In Woocommerce? Any help is appreciated. The following custom function will displays the sum of all product variations stock quantity for a variable product (only). It use a very light SQL query

I am using this code in showing the stocks of products: add_action( 'woocommerce_after_shop_loop_item', 'display_variable_product_stock_quantity', 10 ); function display_variable_product_stock_quantity(){ wc_get_variable_product_stock_quantity( 'echo_html' ); } function show_stock() { global $product; if ( $product->stock ) { // if manage stock is enabled if ( ! $product->managing_stock() && ! $product->is_in_stock() ) echo ''; } if ( number_format($product->stock,0,'','') > 0 ) { // if stock is low echo '<div class="remainingpc" style="text-align:center;"><font color="red"> ' . number_format(