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How can i make this calculations from file?

I have a file contains two columns and need to apply this equation on them like the equation is it means the result will be a column and do this equation for each point x1 to other points and y1 for other points until finished then start to calculate and do this equation for each point x2 to other points

string indices must be integers json

i have a json data https://steamcommunity.com/id/RednelssGames/inventory/json/730/2 need get names of all the items getting error string indices must be integers Answer Change the for-loop as follows: By iterating over a dictionary like you did, you get the keys and not the values (rows). If you want to iterate over the values, you have to iterate over the return value of

Pandas group by unique ID and Distinct date per unique ID

Title may be confusing: I have a dataframe that displays user_id sign in’s during the week. My goal is to display the de-duped ID along with the de-duped dates per employee, in order to get a count of # days the user uniquely signed in for the week. So I’ve been trying to enforce a rule to make sure I’m

shape of an output tensor after convolutional filter on a colour image

I find it difficult to understand a notion about tensors. For VGG (https://www.tensorflow.org/api_docs/python/tf/keras/applications/VGG16), we start from a batch of colour images (none,224,224,3) and apply 64 2D convolutional filters. At the output we obtain a tensor of (none,224,224,64), we can see this by making a summary of the model. However, a filter must treat all 3 colours and my intuition tells

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