AttributeError: ‘Series’ object has no attribute ‘reshape’
Solution was linked on reshaped method on documentation page. Insted of Y.reshape(-1,1) you need to use:
reshape
Pandas long to wide reshape, by two variables
A simple pivot might be sufficient for your needs but this is what I did to reproduce your desired output: Just adding a within group counter/index will get you most of the way there but the column labels will not be as you desired: To get closer to your desired output I added the following: … Read more
Python reshape list to ndim array
You can think of reshaping that the new shape is filled row by row (last dimension varies fastest) from the flattened original list/array. An easy solution is to shape the list into a (100, 28) array and then transpose it: Update regarding the updated example:
load csv into 2D matrix with numpy for plotting
Pure numpy Check out the loadtxt documentation. You can also use python’s csv module: You will have to convert it to your favorite numeric type. I guess you can write the whole thing in one line: result = numpy.array(list(csv.reader(open(“test.csv”, “rb”), delimiter=”,”))).astype(“float”) Added Hint: You could also use pandas.io.parsers.read_csv and get the associated numpy array which can be faster.