The evaluation code for the generator looks largely similar to what we had in Step 6 except it has additional steps to initialize the RAG chain and invoke it for each question in our evaluation dataset in order to generate answers: 1 from ragas.metrics import faithfulness, answer_relevancy 2 ...
data.append([col.text.strip()forcolincols])# Step 6: Create a DataFrame and save to Exceldf = pd.DataFrame(data, columns=["Column1","Column2","Column3"])# Adjust column names as neededdf.to_excel("output.xlsx", index=False)print("Data successfully scraped and saved to 'output.xlsx...
In today’s digital landscape, the ability to detect and respond to threats in real-time isn’t just a luxury—it’s a necessity. Imagine building a system that can analyze thousands of user interactions per second, identifying potential phishing attempts before they impact your users. While th...
I am looking to add a new column to this dataframe that calculates the total demand (in units) for each row. This can be achieved by summing the values in the "Demand(In Units)" column for the number of weeks specified in the "No. of weeks" column. Referring to this specific datafra...
We then use the data.frame() function to convert the empty matrix into a data frame.empty_matrix <- matrix(ncol = 0, nrow = 0) empty_df <- data.frame(empty_matrix) Here, the matrix(ncol = 0, nrow = 0) statement initializes an empty matrix with zero columns and rows. The data...
Initialize a new Scrapy project: scrapy startproject scalable_scraper cd scalable_scraper Writing a Scalable Scrapy Spider A Scrapy Spider controls: Which pages to scrape How data is extracted How pagination is handled Creating a Product Scraper ...
DataFrame(l) df.to_csv('google.csv', index=False, encoding='utf-8') print(l) CopyWell, this approach is not scalable because Google will block all the requests after a certain number of requests. We need some advanced scraping tools to overcome this problem....
Python how to do列表字典的.values().values() 在Pandas : How to check a list elements is Greater a Dataframe Columns Values overlay how='difference‘应该与geopandas 0.9和0.10的操作方式不同吗? How do I iterate through all possible values in a series of fixed lists?
Also, if you have not created a MongoDB Atlas instance for yourself, you can follow the tutorial to create one. This will provide you with your MONGODB_CONNECTION_STR. Run the following lines of code in Jupyter Notebook to initialize the Cohere secret or API key and MongoDB Atlas c...
Pandas: To create a dataframe and apply group by Random - To generate random data Pprint - To print dictionaries import pandas as pd import random import pprint Next, we will initialize an empty dataframe and fill in values for each column as shown below: ...