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How can I draw lines into numpy arrays?

I would like to be able to draw lines into numpy arrays to get off-line features for on-line handwriting recognition. This means I don’t need the image at all, but I need for some positions in a numpy array who an image of a given size would look like. I would like to be able to specify an image size

Zsh: Conda/Pip installs command not found

So I installed Anaconda and everything is working. After I installed it I decided to switch to oh-my-zsh. I am now getting: when trying to use pip or conda installs 5.0.5 I have added to my zshenv.sh What is it that I’m missing? Answer It appears that my PATH is broken in my .zshrc file. Open it and add :

Print ‘std err’ value from statsmodels OLS results

(Sorry to ask but http://statsmodels.sourceforge.net/ is currently down and I can’t access the docs) I’m doing a linear regression using statsmodels, basically: I know that I can print out the full set of results with: which outputs something like: I need a way to print out only the values of coef and std err. I can access coef with: but

Scikit-learn train_test_split with indices

How do I get the original indices of the data when using train_test_split()? What I have is the following But this does not give the indices of the original data. One workaround is to add the indices to data (e.g. data = [(i, d) for i, d in enumerate(data)]) and then pass them inside train_test_split and then expand again. Are

groupby weighted average and sum in pandas dataframe

I have a dataframe: I need a sum of adjusted_lots , price which is weighted average , of price and adjusted_lots , grouped by all the other columns , ie. grouped by (contract, month , year and buys) Similar solution on R was achieved by following code, using dplyr, however unable to do the same in pandas. is the same

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