python - RBM code. AttributeError: 'str' object has no attribute 'shape'. When I try input dataset from excel -

i'm beginner in code , python. want see how code (rbm) works. , try input data excel.

from __future__ import print_function import numpy np import openpyxl class rbm:      def __init__(self, num_visible, num_hidden):         self.num_hidden = num_hidden         self.num_visible = num_visible         self.debug_print = true          np_rng = np.random.randomstate(1234)          self.weights = np.asarray(np_rng.uniform(         low=-0.1 * np.sqrt(261. / (num_hidden + num_visible)),                     high=0.1 * np.sqrt(261. / (num_hidden + num_visible)),                     size=(num_visible, num_hidden)))          self.weights = np.insert(self.weights, 0, 0, axis = 0)         self.weights = np.insert(self.weights, 0, 0, axis = 1)       def train(self, data, max_epochs = 1000, learning_rate = 0.1):          """          train machine.           parameters          ----------          data: matrix each row training example consisting of           states of visible units.              """           num_examples = data.shape[0]           # insert bias units of 1 first column.          data = np.insert(data, 0, 1, axis = 1) ....           # ignore bias units (the first column), since they're set 1.          return samples[:,1:]              def _logistic(self, x):          return 1.0 / (1 + np.exp(-x))  if __name__ == '__main__':     r = rbm(num_visible = 1, num_hidden = 261)     training_data = 'data1.xlsx'     wb = openpyxl.load_workbook(training_data)     sheet = wb.get_sheet_by_name('sheet1')     rowofcellobjects in sheet['f2':'f262']:         cellobj in rowofcellobjects:              print(cellobj.coordinate, cellobj.value)      r.train(training_data, max_epochs = 5000)     print(r.weights)     print(r.run_visible) 

but message when running.

file "c:/users/user/cx.py", line 39, in train

num_examples = data.shape[0]

attributeerror: 'str' object has no attribute 'shape'

what should do?