如何在 IPython pandas 中配置显示输出
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How to configure display output in IPython pandas
提问by Chrispy
I'm trying to configure my IPython output in my OS X terminal, but it would seem that none of the changes I'm trying to set are taking effect. I'm trying to configure the display settings such that wider outputs like a big DataFramewill output without any truncation or as the summary info.
我正在尝试在我的 OS X 终端中配置我的 IPython 输出，但似乎我尝试设置的所有更改都没有生效。我正在尝试配置显示设置，以便更宽的输出（如大）DataFrame将输出而不会被截断或作为摘要信息。
After importing pandas into my script, I have a few options set where I tried a whole bunch, but any one (or all, for that matter) does not seem to take effect. I'm running the script from IPython using %run. Am I doing something wrong here?
将大Pandas导入我的脚本后，我设置了几个选项，我尝试了一大堆，但任何一个（或全部，就此而言）似乎都不起作用。我正在使用%run. 我在这里做错了吗？
import pandas as pd
pd.set_option('display.expand_max_repr', False)
pd.set_option('display.max_columns', 30)
pd.set_option('display.width', None)
pd.set_option('display.line_width', 200)
I've looked at some threadson Stack and the pandas FAQto no avail, even when using these under the display namespace (or without), as I've attempted here.
我已经查看了 Stack上的一些线程和Pandas FAQ无济于事，即使在显示命名空间（或没有）下使用这些时，我也在这里尝试过。
I understand that there are some ways around this, such as calling to_string()or describe()methods on your output, but these are very manual, and don't always work as intended in some cases, like one where I have calling to_string()on a groupbyobject yields:
据我所知，有一些解决这个办法，如调用to_string()或describe()在你的输出方式，但这些都是非常手册，并如预期在某些情况下，像一个在那里我有打电话并不总是工作to_string()在groupby对象产生：
id type
106125 puzzle gameplay_id sitting_id user_id ...
106253 frames gameplay_id sitting_id user_id ...
106260 trivia gameplay_id sitting_id user_id ...
My terminal window size is more than sufficient to accommodate the width, and calling pd.util.terminal.get_terminal_size()is correctly finding the window size tuple, so it would seem that auto detecting the size isn't working either. Any insight would be appreciated!
我的终端窗口大小足以容纳宽度，并且调用pd.util.terminal.get_terminal_size()正确地找到了窗口大小元组，因此似乎自动检测大小也不起作用。任何见解将不胜感激！
回答by Andy Hayden
Just for completeness (I'll add my comment as an answer), you missed out:
只是为了完整性（我将添加我的评论作为答案），您错过了：
pd.options.display.max_colwidth # default is 50
this restricted the maximum length of a single column.
这限制了单个列的最大长度。
There are quite a few options to configure here, if you're using ipython then tab complete to find the full set of display options:
这里有很多选项可以配置，如果你使用 ipython 然后选项卡完成找到完整的显示选项集：
pd.options.display.<tab>
