小编Hyo*_*sun的帖子

我使用了tensorflow熊猫已有几个月了，但是今天突然间我无法导入它们。当我尝试：

import pandas as pd

它会显示：

File "<input>", line 1, in <module>
File "C:\Program Files\JetBrains\PyCharm Community Edition 2017.2.4\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
  module = self._system_import(name, *args, **kwargs)
File "C:\Users\User\AppData\Local\Programs\Python\Python36\lib\site-packages\pandas\__init__.py", line 42, in <module>
  from pandas.core.api import *
File "C:\Program Files\JetBrains\PyCharm Community Edition 2017.2.4\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
  module = self._system_import(name, *args, **kwargs)
File "C:\Users\User\AppData\Local\Programs\Python\Python36\lib\site-packages\pandas\core\api.py", line 9, in <module>
  from pandas.core.categorical import Categorical
File "C:\Program Files\JetBrains\PyCharm Community Edition 2017.2.4\helpers\pydev\_pydev_bundle\pydev_import_hook.py", line 21, in do_import
  module = self._system_import(name, *args, **kwargs)
File "C:\Users\User\AppData\Local\Programs\Python\Python36\lib\site-packages\pandas\core\categorical.py", line …

我有一个包含 30 个变量的数据框 X，v1, v2 ... v30并且 col_name=[v1,v2.....v30]

对于每个变量，我想绘制直方图以了解变量分布。但是，编写代码来一个一个地绘制太手动了，我可以使用 for 循环之类的东西一次绘制 30 个直方图吗？

例如：

for i in range(30):
  hist(np.array(X[col_name[i]]).astype(np.float),bins=100,color='blue',label=col_name[i],normed=1,alpha=0.5)

我怎样才能做到这一点？就像一页图表（每个图表都有标题和标签），这样我就可以向下滚动阅读。