Christian Parsons

How do I fire an event’s components and press enter in LWC?

You can handle the components and press enter in LWC by using onkeypress and checking that the pressed key is 13. handleEnter(event){ if(event.keyCode === 13){ this.handleSearch(); } }

Salesforce

Answered May 1, 2023 · 1.2K Views Read answer →

How can I use the simple imputer class to replace missing values with mean values in Python?

Your error is due to using Simple Imputer's fit and fit_transform on a numpy array. Here's how i used it on a Dataframe imr = Imputer(missing_values='NaN', strategy='median', axis=0) imr = imr.fit(data[['age']]) data['age'] = imr.transform(data[['age']]).ravel() X.fit = impute.fit_transform().. this is wrong. you…

Data Science

Answered Feb 15, 2023 · 2.0K Views Read answer →

How to perform OR condition in django queryset?

To solve sql count with condition, you can't limit the query itself with a WHERE clause. But you can use the count aggregate as it only counts the non-null values. So, use this code: SELECTcount (case Position when 'Manager' then 1 else null end)FROM Table_Name You can also use the sum aggregate in a similar way:…

SQL Server

Answered Jul 7, 2021 · 1.2K Views Read answer →

Element-wise logical OR in Pandas

You can use this ‘ | ’ operator for pandas or: df[(df < 12 xss=removed>This will check element-wise if value is less than 12 or equal to 15. You can also use this np.logical_or function. df[np.logical_or(dfFor multiple conditions use the logical_or.reduce: df[np.logical_or.reduce([df

QA Testing

Answered Jun 7, 2021 · 1.7K Views Read answer →

How to avoid Python/Pandas creating an index in a saved csv?

There are many ways to avoid Python/Pandas creating an index in CSV, some of the important ways to generate pandas to csv no index are as follows:- The first and most preferable way would be to set your index value as index=False while you are converting your data frame into CSV below is an example that shows how to…

Python

Answered Apr 17, 2021 · 1.2K Views Read answer →

Is there a library function for Root mean square error (RMSE) in python?

Root mean squared error (RMSE): RMSE (Sklearn RMSE) is a quadratic scoring rule that also measures the average magnitude of the error. It’s the square root of the average squared differences between prediction and actual observation. In the scikit learn library, sklearn.metrics has a mean_squared_error function. The…

Python

Answered Mar 7, 2021 · 2.9K Views Read answer →

What value is the sum of the residuals of a linear regression close to? Justify

Question 26. What value is the sum of the residuals of a linear regression close to? Justify The sum of the residuals of a linear regression is 0. Linear regression works on the theory that the errors (residuals) are normally distributed with a mean of 0, i.e. Here, Y is the dependent variable or target, β is the…

Data Science

Answered Nov 7, 2019 · 4.2K Views Read answer →