在新版本的0.13.0大熊猫中，数据帧df使用
打印在一个长数字列表中df
或
print df
而不是像以前一样的概述，现在只能使用
df.info()
是否可以更改默认＆＃39; df＆＃39;或者＆＃39; print df＆＃39;命令显示：
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]
答案 0 :(得分：3)
集
pd.options.display.large_repr = 'info'
v.0.13的默认值是'truncate'。
In [93]: df = pd.DataFrame(np.arange(4319*2).reshape(4319,2))
In [94]: pd.options.display.large_repr = 'info'
In [95]: df
Out[95]:
<class 'pandas.core.frame.DataFrame'>
Int64Index: 4319 entries, 0 to 4318
Data columns (total 2 columns):
0 4319 non-null int32
1 4319 non-null int32
dtypes: int32(2)
我通过在输出中搜索字符串'info()'来找到它：
In [65]: pd.set_option?
要使其成为互动会话的默认行为：
如果您尚未设置，请将环境变量PYTHONSTARTUP定义为类似/home/user/bin/startup.py
然后编辑/创建/home/user/bin/startup.py以包含类似
import pandas as pd
pd.options.display.large_repr = 'info'
现在，无论何时启动交互式Python会话，都会执行startup.py文件，您可以通过pd变量访问pandas，large_repr默认将{ {1}}。