将pandas 0.13.0的“打印数据框”更改为以前版本中打印数据框的方式

Question

在pandas的新版本0.13.0中，使用

df

或者

^{pr2}$

而不是像以前那样的概述，现在只能使用

df.info()

是否可以更改默认的“df”或“print df”命令以显示：

In [12]: df.info()
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 4319 entries, 2010-02-18 00:00:00 to 2010-03-13 23:15:00
Data columns (total 2 columns):
QInt    4319  non-null values
QHea    4319  non-null values
dtypes: float32(2)

再次代替：

In [11]: df
Out[11]:
                                  QInt         QHea
2010-02-18 00:00:00         169.666672     0.000000
2010-02-18 00:15:00         152.000000    -0.000000
2010-02-18 00:15:00         152.000000    -0.000000
2010-02-18 00:30:00         155.000000    -0.000000
2010-02-18 00:30:04         155.063950    -0.000000
2010-02-18 00:30:04         155.063950 -1136.823364
2010-02-18 00:45:00         169.666672  4587.430176
2010-02-18 01:00:00         137.333328  4532.890137
2010-02-18 01:00:00         137.333328  4532.890137
2010-02-18 01:15:00         177.000000  4464.479980
2010-02-18 01:15:00         177.000000  4464.479980
2010-02-18 01:30:00         169.666672  4391.839844
2010-02-18 01:30:00         169.666672  4391.839844
2010-02-18 01:45:00         155.000000  4313.049805
2010-02-18 01:45:00         155.000000  4313.049805
2010-02-18 02:00:00         144.666672  4230.100098
2010-02-18 02:15:00         162.333328  4144.819824
2010-02-18 02:15:00         162.333328  4144.819824
2010-02-18 02:30:00         177.000000  4059.689941
2010-02-18 02:45:00         144.666672  3987.149902
2010-02-18 02:45:00         144.666672  3987.149902
2010-02-18 03:00:00         155.000000  3924.629883
2010-02-18 03:00:00         155.000000  3924.629883
2010-02-18 03:15:00         162.333328  3865.129883
2010-02-18 03:15:00         162.333328  3865.129883
2010-02-18 03:30:00         162.333328  3811.050049
2010-02-18 03:30:00         162.333328  3811.050049
2010-02-18 03:45:00         152.000000  3765.590088
2010-02-18 03:45:00         152.000000  3765.590088
2010-02-18 04:00:00         162.333328  3735.080078
2010-02-18 04:15:00         162.333328  3703.169922
2010-02-18 04:15:00         162.333328  3703.169922
2010-02-18 04:30:00         144.666672  3673.139893
2010-02-18 04:45:00         169.666672  3647.100098
2010-02-18 04:45:00         169.666672  3647.100098
2010-02-18 05:00:00         162.333328  3622.129883
2010-02-18 05:15:00         155.000000  3594.159912
2010-02-18 05:15:00         155.000000  3594.159912
2010-02-18 05:30:00         159.333328  3569.699951
2010-02-18 05:30:00         159.333328  3569.699951
2010-02-18 05:45:00         147.666672  3551.179932
2010-02-18 05:45:00         147.666672  3551.179932
2010-02-18 06:00:00         177.000000  3531.669922
2010-02-18 06:00:00         177.000000  3531.669922
2010-02-18 06:15:00         159.333328  3514.679932
2010-02-18 06:15:00         159.333328  3514.679932
2010-02-18 06:30:00         155.000000  3499.669922
2010-02-18 06:30:00         155.000000  3499.669922
2010-02-18 06:45:00         155.000000  3485.320068
2010-02-18 06:45:00         155.000000  3485.320068
2010-02-18 06:59:54.750000  162.291245    19.999992
2010-02-18 06:59:54.750000  162.291245     0.000000
2010-02-18 07:00:00         162.333328     0.000000
2010-02-18 07:00:00         162.333328     0.000000
2010-02-18 07:15:00         166.666672     0.000000
2010-02-18 07:15:00         166.666672     0.000000
2010-02-18 07:30:00         155.000000     0.000000
2010-02-18 07:30:00         155.000000     0.000000
2010-02-18 07:45:00         155.000000     0.000000
2010-02-18 07:45:00         155.000000     0.000000
                                   ...          ...

[4319 rows x 2 columns]

Answer 1

设置

pd.options.display.large_repr = 'info'

从v.0.13开始，默认值为“truncate”。在

^{pr2}$

---

我通过在以下内容的输出中搜索字符串'info()'找到了这一点：

In [65]: pd.set_option?

---

要使这成为交互式会话的默认行为：

如果尚未设置，请将环境变量PYTHONSTARTUP定义为/home/user/bin/startup.py

然后编辑/创建/home/user/bin/startup.py以包含类似的内容

import pandas as pd
pd.options.display.large_repr = 'info'

现在，每当您启动一个交互式Python会话时，startup.py文件将被执行，您可以通过pd变量访问pandas，large_repr默认值为'info'。在