# Write a NumPy program to convert a Python dictionary to a NumPy ndarray.  import numpy as np
from ast import literal_eval
udict = """{"column0":{"a":1,"b":0.0,"c":0.0,"d":2.0},
   "column1":{"a":3.0,"b":1,"c":0.0,"d":-1.0},
   "column2":{"a":4,"b":1,"c":5.0,"d":-1.0},
   "column3":{"a":3.0,"b":-1.0,"c":-1.0,"d":-1.0}
  }"""
t = literal_eval(udict)
print("\nOriginal dictionary:")
print(t)
print("Type: ",type(t))
result_nparra = np.array([[v[j] for j in ['a', 'b', 'c', 'd']] for k, v in t.items()])
print("\nndarray:")
print(result_nparra)
print("Type: ",type(result_nparra))
