Converting Objects

“Errors using inadequate data are much less than those using no data at all.” – Charles Babbage

How to convert arrays, see Unit 2: Converting Types of Data

  • Use isinstance to test for data type. Returns True or False.
  • Use astype to explicitly convert it.
  to array to matrix to dataframe
from array np.array([x, y]) np.column_stack((x, y))
np.row_stack((x, y))		 pd.DataFrame({‘x’: x, ‘y’: y})
from matrix np.array(mymatrix).flatten()   pd.DataFrame(mymatrix)
from dataframe   df.values  

The functions np.row_stack() and np.column_stack() can be used to bind arrays together. np.row_stack arranges the arrays row by row, np.column_stack arranges them column by column.

import numpy as np

v1 = np.array([1, 2, 3])
v2 = np.array([4, 5, 6])

print(np.row_stack((v1, v2)))
# Output:
# [[1 2 3]
#  [4 5 6]]

print(np.column_stack((v1, v2)))
# Output:
# [[1 4]
#  [2 5]
#  [3 6]]

Updated: