在IPython Notebook中显示所有pandas数据帧 [英] Show all pandas dataframes in an IPython Notebook

问题描述

我如何识别在当前笔记本会话中创建的所有Pandas DataFrame？

How could I identify all the Pandas DataFrames created in my current notebook session?

在SAS中看到工作库中的所有成员都是理想的。

Something like in SAS seeing all the members in the Work library would be ideal.

谢谢。

推荐答案

解决方案

Solution

%who DataFrame

解释

所有对象

Explanation

All objects

...查看工作库中的所有成员非常理想。

... seeing all the members in the Work library would be ideal.

In [1]:

a = 10
b = 'abs'
c = [1, 2, 3]

％who 显示所有使用的名称：

%who shows all used names:

In [2]:
%who
a    b   c   

方便地列出：

In [3]:
%who_ls

Out[3]:
['a', 'b', 'c']

或者作为数据类型的表：

Or as table with data types:

In [4]:
%whos

Variable   Type    Data/Info
----------------------------
a          int     10
b          str     abs
c          list    n=3

过滤DataFrames

Filter for DataFrames

In [5]:
import pandas as pd
df1 = pd.DataFrame({'a': [100, 200, 300]})
df2 = pd.DataFrame({'b': [100, 200, 300]})

In [6]:
%whos DataFrame

Variable   Type         Data/Info
---------------------------------
df1        DataFrame         a\n0  100\n1  200\n2  300
df2        DataFrame         b\n0  100\n1  200\n2  300

In [7]:

%who DataFrame
df1  df2

In [8]:
%who_ls DataFrame

Out[8]:
['df1', 'df2']

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