我正在尝试绘制以下数组:
array(['2019-08-23 16:24:55.000', '2019-08-23 15:51:07.000',
'2019-08-23 15:41:30.000', '2019-08-23 15:36:45.000',
'2019-08-23 13:54:36.000', '2019-08-23 11:32:04.000',
'2019-08-23 11:15:20.000', '2019-08-23 11:07:46.000',
'2019-08-23 10:51:20.000', '2019-08-23 10:51:19.000',
'2019-08-23 10:33:24.000', '2019-08-23 09:50:18.000',
'2019-08-23 08:21:51.000', '2019-08-22 11:50:55.000',
'2019-08-22 11:36:52.000', '2019-08-22 11:31:24.000',
'2019-08-22 09:56:18.000', '2019-08-21 21:42:50.000',
'2019-08-21 21:11:08.000', '2019-08-21 21:09:18.000',
'2019-08-21 21:04:52.000', '2019-08-21 20:57:57.000',
'2019-08-21 20:27:09.000', '2019-08-21 20:06:50.000',
'2019-08-21 20:01:00.000', '2019-08-21 19:50:41.000',
'2019-08-21 17:53:00.000', '2019-08-21 17:38:45.000',
'2019-08-21 16:37:32.000', '2019-08-15 14:04:18.000',
'2019-08-15 13:42:21.000', '2019-08-15 13:36:25.000',
'2019-08-15 13:27:50.000', '2019-08-15 13:22:55.000'], dtype='<U23')
sns.distplot(nx)
/opt/conda/lib/python3.6/site-packages/numpy/core/_methods.py in _mean(a, axis, dtype, out, keepdims)
73 is_float16_result = True
74
---> 75 ret = umr_sum(arr, axis, dtype, out, keepdims)
76 if isinstance(ret, mu.ndarray):
77 ret = um.true_divide(
TypeError: cannot perform reduce with flexible type
有没有办法绘制这样的数组？
最佳答案
我不完全确定您要做什么，但我想说您需要将数组转换为代表性整数，然后才能进行绘图。因此先转换为日期时间，然后转换为整数:
sns.distplot(nx.astype('datetime64[s]').astype('int'))
现在，如果您想让日期回到 x 轴，也许可以这样做:
g = sns.distplot(nx.astype('datetime64[s]').astype('int'))
g.set_xticklabels(ax.get_xticks().astype('datetime64[s]').astype('datetime64[D]'), rotation=20)
关于python - 如何使用 Seaborn 绘制字符串类型 Numpy 数组？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/57626773/