How to fix "Data must be 1-dimensional" exception in python - pandas

Question

I am trying to create a dataset for checking my Logistic Regression Algorithm, but I am unable to create a pandas DataFrame from a dictinoary.
I am getting a 'Data must be 1-dimensional' exception.
x1 = np.random.random(size=(10,1))*2
x2 = np.random.random(size=(10,1))*2
x3 = np.random.random(size=(10,1))*2 + 2
x4 = np.random.random(size=(10,1))*2 + 2
y0 = np.zeros(shape=(10,1))
y1 = np.ones(shape=(10,1))
plt.scatter(x1,x2, color='g', marker='o')
plt.scatter(x3,x4, color='r', marker='o')
dict_data = { 'X1':np.concatenate((x1,x3)),
'X2':np.concatenate((x2,x4)),
'Y':np.concatenate((y0,y1))}
data = pd.DataFrame(dict_data, index=np.arange(20))
I am getting this as output, with the error Data must be 1 dimenstional.
--------------------------------------------------------------------------
Exception Traceback (most recent call last)
<ipython-input-49-fe81f079ebc6> in <module>
13 dict_data = { 'X1':np.concatenate((x1,x3)), 'X2':np.concatenate((x2,x4)),'Y':np.concatenate((y0,y1))}
14 #print(dict_data.shape)
---> 15 data = pd.DataFrame(dict_data, index=np.arange(20).reshape(20))
~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py in __init__(self, data, index, columns, dtype, copy)
328 dtype=dtype, copy=copy)
329 elif isinstance(data, dict):
--> 330 mgr = self._init_dict(data, index, columns, dtype=dtype)
331 elif isinstance(data, ma.MaskedArray):
332 import numpy.ma.mrecords as mrecords
~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py in _init_dict(self, data, index, columns, dtype)
459 arrays = [data[k] for k in keys]
460
--> 461 return _arrays_to_mgr(arrays, data_names, index, columns, dtype=dtype)
462
463 def _init_ndarray(self, values, index, columns, dtype=None, copy=False):
~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py in _arrays_to_mgr(arrays, arr_names, index, columns, dtype)
6166
6167 # don't force copy because getting jammed in an ndarray anyway
-> 6168 arrays = _homogenize(arrays, index, dtype)
6169
6170 # from BlockManager perspective
~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py in _homogenize(data, index, dtype)
6475 v = lib.fast_multiget(v, oindex.values, default=np.nan)
6476 v = _sanitize_array(v, index, dtype=dtype, copy=False,
-> 6477 raise_cast_failure=False)
6478
6479 homogenized.append(v)
~/anaconda3/lib/python3.6/site-packages/pandas/core/series.py in _sanitize_array(data, index, dtype, copy, raise_cast_failure)
3273 elif subarr.ndim > 1:
3274 if isinstance(data, np.ndarray):
-> 3275 raise Exception('Data must be 1-dimensional')
3276 else:
3277 subarr = _asarray_tuplesafe(data, dtype=dtype)
Exception: Data must be 1-dimensional

Answer 1

np.random.random(size=(10,1)) produces 2-dimensional array of shape (10, 1) however pandas constructs DataFrames as a collection of 1-dimensional arrays.
So use np.random.random(size=(10)) to make 1-D arrays, which then can be used to make DataFrame.