Python Pandas字符串和系列之间的时间差

Question

我收到以下错误：

--------------------------------------------------------------------------- TypeError Traceback (most recent call last) ~/anaconda3/lib/python3.8/site-packages/pandas/core/ops/array_ops.py in na_arithmetic_op(left, right, op, is_cmp) 142 try: --> 143 result = expressions.evaluate(op, left, right) 144 except TypeError:

~/anaconda3/lib/python3.8/site-packages/pandas/core/computation/expressions.py in evaluate(op, a, b, use_numexpr) 232 if use_numexpr: --> 233 return _evaluate(op, op_str, a, b) # type: ignore 234 return _evaluate_standard(op, op_str, a, b)

~/anaconda3/lib/python3.8/site-packages/pandas/core/computation/expressions.py in _evaluate_numexpr(op, op_str, a, b) 118 if result is None: --> 119 result = _evaluate_standard(op, op_str, a, b) 120

~/anaconda3/lib/python3.8/site-packages/pandas/core/computation/expressions.py in _evaluate_standard(op, op_str, a, b) 67 with np.errstate(all="ignore"): ---> 68 return op(a, b) 69

TypeError: unsupported operand type(s) for -: 'datetime.time' and 'builtin_function_or_method'

During handling of the above exception, another exception occurred:

TypeError Traceback (most recent call last) in ----> 1 NVAX['snap_ts'].dt.time - datetime.strptime('14:30:00', '%H:%M:%S').time

~/anaconda3/lib/python3.8/site-packages/pandas/core/ops/common.py in new_method(self, other) 63 other = item_from_zerodim(other) 64 ---> 65 return method(self, other) 66 67 return new_method

~/anaconda3/lib/python3.8/site-packages/pandas/core/ops/init.py in wrapper(left, right) 341 lvalues = extract_array(left, extract_numpy=True) 342 rvalues = extract_array(right, extract_numpy=True) --> 343 result = arithmetic_op(lvalues, rvalues, op) 344 345 return left._construct_result(result, name=res_name)

~/anaconda3/lib/python3.8/site-packages/pandas/core/ops/array_ops.py in arithmetic_op(left, right, op) 188 else: 189 with np.errstate(all="ignore"): --> 190 res_values = na_arithmetic_op(lvalues, rvalues, op) 191 192 return res_values

~/anaconda3/lib/python3.8/site-packages/pandas/core/ops/array_ops.py in na_arithmetic_op(left, right, op, is_cmp) 148 # will handle complex numbers incorrectly, see GH#32047 149 raise --> 150 result = masked_arith_op(left, right, op) 151 152 if is_cmp and (is_scalar(result) or result is NotImplemented):

~/anaconda3/lib/python3.8/site-packages/pandas/core/ops/array_ops.py in masked_arith_op(x, y, op) 94 else: 95 if not is_scalar(y): ---> 96 raise TypeError( 97 f"Cannot broadcast np.ndarray with operand of type { type(y) }" 98 )

TypeError: Cannot broadcast np.ndarray with operand of type <class 'builtin_function_or_method'>

执行此操作时：

df['snap_ts'].dt.time - datetime.strptime('14:30:00', '%H:%M:%S')

df['snap_ts'].dt.time 相当于：

0         14:30:10
1         14:30:20
2         14:30:30
3         14:30:40
4         14:30:50
            ...   
157763    19:59:20
157764    19:59:30
157765    19:59:40
157766    19:59:50
157767    20:00:00
Name: snap_ts, Length: 157768, dtype: object

这是一个 pandas.core.series.Series

我做错了什么？

Answer 1

你在找那个吗？

df['snap_ts'].sub(pd.Timedelta('14:30:00')).dt.time

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