Right way to convert data.frame to a numeric matrix, when df also contains strings?

I have a data frame taken from a .csv-file which contains numeric and character values. I want to convert this data frame into a matrix. All containing information is numbers (the non-number-rows I deleted), so it should be possible to convert the data frame into a numeric matrix. However, I do get a character matrix. … Read more

Pandas: Creating DataFrame from Series

My current code is shown below – I’m importing a MAT file and trying to create a DataFrame from variables within it: mat = loadmat(file_path) # load mat-file Variables = mat.keys() # identify variable names df = pd.DataFrame # Initialise DataFrame for name in Variables: B = mat[name] s = pd.Series (B[:,1]) So within the … Read more

How to use onSensorChanged sensor data in combination with OpenGL

( edit: I added the best working approach in my augmented reality framework and now also take the gyroscope into account which makes it much more stable again: DroidAR framework ) I have written a TestSuite to find out how to calculate the rotation angles from the data you get in SensorEventListener.onSensorChanged(). I really hope … Read more

Iterating over Numpy matrix rows to apply a function each?

I want to be able to iterate over the matrix to apply a function to each row. How can I do it for a Numpy matrix ? Answer You can use numpy.apply_along_axis(). Assuming that your array is 2D, you can use it like: import numpy as np mymatrix = np.matrix([[11,12,13], [21,22,23], [31,32,33]]) def myfunction(x): return … Read more