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CMS Mastering Development Wordpress

Disable Sale price woocommerce specific categories product

Looking for a way to remove the sale price from woocommerce specific categories product. This code work for all product. but i need for woocommerce specific categories product. function custom_wc_get_sale_price( $sale_price, $product ) { return $product->get_regular_price(); return $sale_price; } } add_filter( ‘woocommerce_product_get_sale_price’, ‘custom_wc_get_sale_price’, 50, 2 ); add_filter( ‘woocommerce_product_get_price’, ‘custom_wc_get_sale_price’, 50, 2 ); anyone help me.

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Mastering Development

Keras–using image generator to merge two images side-by-side

I am trying to train a CNN on images of different compounds. For each compound, I have 2 (50x50x3) images–a cation image and an anion image. I want to use an ImageDataGenerator to apply a transformation to both the cation and anion image individually for each compound, and then put the two images side-by-side and […]

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Mastering Development

How to Un-Sort The legends in the graph in R?

I am not an expert in R. I am having an issue, the legends are sorted alphabetically. I cannot arrange them manually because I have 87 patients and each patient has 300 days and the status (category) changes every day so i want to plot the graph exactly like it has in the source. ggplot(data […]

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Mastering Development

How it works the coordinate system of img[y:y+h, x:x+w]

I have the same image (200×200) for both cases. I’m implementing template matching, so the idea is to use the rectangle region of this code like template: image = cv.imread(image, 0) cv.rectangle(image,(150, 50),(200,100),(255,0,0),2) plt.imshow(image, ‘gray’) plt.title(‘With rectangle’) plt.show() But when I run the following line in the template matching code, the rectangle is not the […]

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Mastering Development

Pandas: dynamically append dataframe column into a running total dataframe within a loop

I am writing a simulation and I am trying to append the result of EACH ITERATION INTO a dataframe that keep track of all the iterations. While everything works fine with collecting the results, I cannot find a way to append the results into a new column each time. I have been banging my head […]

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Mastering Development System & Network

How to Convert Arrays in SQL to Int

Can someone let me know how to convert/replace/remove array datatypes from my tables into Integers. I am trying to convert/replace the Arrays in columns, Monday, Tuesday, Wednesday, Thursday, Friday to integers I have used the following code on the Friday field: SELECT CONVERT(INT, consumersearchtest.Friday) AS FridayFROM dbo.consumersearchtest But I get the following error: 1 Conversion […]

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Mastering Development

cannot arrange numbers into shape (n,n) matrix

I have the following code that generates a fractal image, the problem is how to reconstruct numbers to be a matrix. from PIL import Image from pylab import * from numpy import NaN import numpy as np import matplotlib.pyplot as plt def julia(C): X = arange(-1.5, 1.5, 0.05) Y = arange(-1.5, 1.5, 0.05) pixel = […]

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Mastering Development

How to make gravity function in pygame?

Unable to move player in pygame So, I was trying to create a simple physics system in pygame. My main goal was to add a Y gravity function that would move the player when activated. I have tried several times to make it work, but I guess I am missing something. Here is the code: […]

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Mastering Development

Docker filebeat autodiscover not detecting nginx logs

On my mac I am running nginx in a docker file and filebeat in a docker file. docker run -p 80:80 nginx The above command successfully runs nginx which I can visit in the browser and the output is printed to the console. This is my docker file that I am building and then running: […]

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Mastering Development

Search and process data from multi-index DataFrames

I have two dataframes df2, with the payment statistics (that have the probability of the client pay a certain debt) and df3 with new clients data. import pandas as pd d = {‘City’: [‘Tokyo’,’Tokyo’,’Lisbon’,’Tokyo’,’Tokyo’,’Lisbon’,’Lisbon’,’Lisbon’,’Tokyo’,’Lisbon’,’Tokyo’,’Tokyo’,’Tokyo’,’Lisbon’,’Tokyo’,’Tokyo’,’Lisbon’,’Lisbon’,’Lisbon’,’Tokyo’,’Lisbon’,’Tokyo’], ‘Card’: [‘Visa’,’Visa’,’Master Card’,’Master Card’,’Visa’,’Master Card’,’Visa’,’Visa’,’Master Card’,’Visa’,’Master Card’,’Visa’,’Visa’,’Master Card’,’Master Card’,’Visa’,’Master Card’,’Visa’,’Visa’,’Master Card’,’Visa’,’Master Card’], ‘Colateral’:[‘Yes’,’No’,’Yes’,’No’,’No’,’No’,’No’,’Yes’,’Yes’,’No’,’Yes’,’Yes’,’No’,’Yes’,’No’,’No’,’No’,’Yes’,’Yes’,’No’,’No’,’No’], ‘Client Number’:[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22], ‘DebtPaid’:[0.8,0.1,0.5,0.30,0,0.2,0.4,1,0.60,1,0.5,0.2,0,0.3,0,0,0.2,0,0.1,0.70,0.5,0.1]} df = pd.DataFrame(data=d) df2=df.groupby([‘City’,’Card’,’Colateral’])[‘DebtPaid’].\ value_counts(bins=[-0.001,0,0.25,0.5,0.75,1,1.001,2],normalize=True) […]