in-place

Assigning functional relu to a variable while inplace parameter is True

Assigning functional relu to a variable while inplace parameter is True Question: If I want to do ReLU operation after my convolution on x, and in my code I do: x = F.leaky_relu(x, negative_slope=0.2, inplace=True) Is this code wrong since I assign the relu to x variable while inplace is True? Ie. does it mean …

Total answers: 1

How to modify a Series(DataFrame) of Pandas in place during iterating?

How to modify a Series(DataFrame) of Pandas in place during iterating? Question: I need to revice values in a Series(column) of Pandas according to another function. During iterating, after I get the result, I don’t want to lookup the series twice, becasue I guess that it wastes time and is not required. For example: import …

Total answers: 1

pandas – mask works on whole dataframe but on selected columns?

pandas – mask works on whole dataframe but on selected columns? Question: I was replacing values in columns and noticed that if use mask on all the dataframe, it will produce expected results, but if I used it against selected columns with .loc, it won’t change any value. Can you explain why and tell if …

Total answers: 2

pytorch sets grad attribute to none if I use simple minus instead of -=

pytorch sets grad attribute to none if I use simple minus instead of -= Question: This is a simple code to show the problem import torch X = torch.arange(-3, 3, step=0.1) Y = X * 3 Y += 0.1 * torch.randn(Y.shape) def my_train_model(iter): w = torch.tensor(-15.0, requires_grad=True) lr = 0.1 for epoch in range(iter): print(w.grad) …

Total answers: 1

In-place modification of Python lists

In-place modification of Python lists Question: I am trying to perform in-place modification of a list of list on the level of the primary list. However, when I try to modify the iterating variable (row in the example below), it appears to create a new pointer to it rather than modifying it. Smallest example of …

Total answers: 4

Pandas: drop columns with all NaN's

Pandas: drop columns with all NaN's Question: I have this DataFrame: 0 1 2 3 4 5 6 7 0 #0915-8 NaN NaN NaN NaN NaN NaN NaN 1 NaN NaN NaN LIVE WGT NaN AMOUNT NaN TOTAL 2 GBW COD NaN NaN 2,280 NaN $0.60 NaN $1,368.00 3 POLLOCK NaN NaN 1,611 NaN $0.01 …

Total answers: 4

Understanding inplace=True in pandas

Understanding inplace=True in pandas Question: In the pandas library many times there is an option to change the object inplace such as with the following statement… df.dropna(axis=’index’, how=’all’, inplace=True) I am curious what is being returned as well as how the object is handled when inplace=True is passed vs. when inplace=False. Are all operations modifying …

Total answers: 11

Difference between a -= b and a = a – b in Python

Difference between a -= b and a = a – b in Python Question: I have recently applied this solution for averaging every N rows of matrix. Although the solution works in general I had problems when applied to a 7×1 array. I have noticed that the problem is when using the -= operator. To …

Total answers: 3