---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/tmp/ipykernel_103/169168403.py in <module>
----> 1 data.info()
/usr/local/lib/python3.7/site-packages/pandas/core/frame.py in info(self, verbose, buf, max_cols, memory_usage, null_counts)
2570 if "object" in counts or self.index._is_memory_usage_qualified():
2571 size_qualifier = "+"
-> 2572 mem_usage = self.memory_usage(index=True, deep=deep).sum()
2573 lines.append(
2574 "memory usage: {mem}\n".format(
/usr/local/lib/python3.7/site-packages/pandas/core/frame.py in memory_usage(self, index, deep)
2668 )
2669 if index:
-> 2670 result = Series(self.index.memory_usage(deep=deep), index=["Index"]).append(
2671 result
2672 )
/usr/local/lib/python3.7/site-packages/pandas/core/series.py in __init__(self, data, index, dtype, name, copy, fastpath)
312 data = data.copy()
313 else:
--> 314 data = sanitize_array(data, index, dtype, copy, raise_cast_failure=True)
315
316 data = SingleBlockManager(data, index, fastpath=True)
/usr/local/lib/python3.7/site-packages/pandas/core/internals/construction.py in sanitize_array(data, index, dtype, copy, raise_cast_failure)
710 value = maybe_cast_to_datetime(value, dtype)
711
--> 712 subarr = construct_1d_arraylike_from_scalar(value, len(index), dtype)
713
714 else:
/usr/local/lib/python3.7/site-packages/pandas/core/dtypes/cast.py in construct_1d_arraylike_from_scalar(value, length, dtype)
1231 value = ensure_str(value)
1232
-> 1233 subarr = np.empty(length, dtype=dtype)
1234 subarr.fill(value)
1235
TypeError: Cannot interpret '<attribute 'dtype' of 'numpy.generic' objects>' as a data type
