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I am new to pandas and python. My input data is like
category text
1 hello iam fine. how are you
1 iam good. how are you doing.
inputData= pd.read_csv(Input', sep='\t', names=['category','text'])
X = inputData["text"]
Y = inputData["category"]
here Y is the panda series object, which i want to convert into numpy array. so i tried .as_matrix
YArray= Y.as_matrix(columns=None)
print YArray
But i got the output as [1,1] (which is wrong since i have only one column category and two rows). I want the result as 2x1 matrix.
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to_numpy() Pandas Series. to_numpy() function is used to return a NumPy ndarray representing the values in given Series or Index. This function will explain how we can convert the pandas Series to numpy Array.
A numpy array is a grid of values that belong to the same data type. NumPy arrays are created using the array() function. A Pandas Series is a one-dimensional labeled array that can store data of any type. It is created using the Series() function of the Pandas library.
Series can also be created using multi-dimensional Numpy arrays. However, after making the multi-dimensional array, first convert the array into a nested list, and then pass the list to the data parameter of the series constructor.
To get numpy array, you need
Y.values
Try this:
after applying the .as_matrix on your series object
Y.reshape((2,1))
Since .as_matrix() only returns a numpy-array NOT a numpy-matrix. Link here
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