Learn how to measure your pupillary distance & get answers to common questions such as what is a PD measurement & why it's important to your prescription.
Subtract 3 mm from your distance PD. For example, if your distance PD is 63mm, then your near PD is 60mm. If you use dual PD to calculate near PD, then subtract 1.5mm from each eye’s measurement. For example, if your dual PD is 33/31mm then your near PD would be 31.5/29.5mm...
Pd = the price at equilibrium where supply and demand are equal If this formula looks vaguely familiar, that’s because we’re actually solving for the area of the consumer surplus triangle on a demand-supply graph. As a reminder, the formula to calculate the area of a triangle is (½...
I have a dataset, where I am trying to calculate rolling correlations. This is the problem: While calculating rolling (window_size=100) correlations between two columns (a and b): some indices (one such index is 12981) give near 0 values (of order 1e-10), but it should ide...
The second line uses the scipy.zscore method to calculate the Z-score for each data point in the selected dataset. The third line has a numpy function to convert all the values to positive values. This helps us apply a simple filter. Printing the array will show us something like this:...
LIME generates a perturbed dataset to fit an explainable model, while SHAP requires an entire sample to calculate SHAP values. This means that LIME requires only one observation, while SHAP requires multiple observations. SHAP values are relative to the average predicted value of the sample, which...
I created a boolean mask to indicate whether a node is in the training set or not, and then added this mask to the data object. I also created a test boolean mask that is the inverse of the train mask: # Calculate no. of train nodes ...
\"Near\" Realtime Seismology How often have we heard the term "realtime" applied to some sort of seismic analysis or process? "Realtime epicenter determination," "realtime moment tensor solution," and "realtime earthquake notification" are terms being routinely used... Malone,S. - 《Seismo...
#create a function to find outliers using IQR def find_outliers_IQR(df): q1=df.quantile(0.25) q3=df.quantile(0.75) IQR=q3-q1 outliers = df[((df<(q1-1.5*IQR)) | (df>(q3+1.5*IQR)))] return outliers Notice using .quantile() we can define Q1 and Q3. Next we calculate IQR, the...
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