Jupyter Notebook在哪里/如何与python的repr/str挂钩 [英] Where/how does Jupyter notebook hook into python's repr/str

问题描述

[在jupyter笔记本中:python3内核]

[In jupyter notebook: python3 kernel]

如果我用熊猫制作数据框或用sympy制作矩阵，则打印效果非常好 即它看起来很像电子表格/矩阵等

If I make a data-frame in pandas or a matrix in sympy it prints very nicely ie it looks quite like a spreadsheet/matrix etc

它是如何做到的? 是谁做的?

How does it do it? Who does it?

数据帧在str/repr方法中似乎没有什么特别的地方(例如生成html). 在普通的python和jupyter中尝试过. Jupyter的印刷要复杂得多.

The data-frame does not seem to have anything special (eg generating html) in the str/repr methods. Tried in ordinary python and jupyter. Jupyter's printing is much more sophisticated.

那么它如何挂在哪里?

推荐答案

我只能为熊猫说话，但我认为sympy的工作方式与此类似.

I can only speak for pandas but I imagine sympy works in a similar way.

Pandas将DataFrame转换为HTML字符串.如果我们打印此字符串，它看起来比仅打印DataFrame时还要糟糕.

Pandas converts a DataFrame into an HTML string. If we print this string it it looks even worse than a when we just print a DataFrame.

from IPython.display import display, HTML
import pandas as pd

data = pd.DataFrame({'col': range(5)})

print(data._repr_html_())

'<div>\n<style scoped>\n    .dataframe tbody tr....'

如果相反，我们使用Jupyter的HTML进行显示，则Jupyter知道将其在Web浏览器中呈现为HTML，并因此显示为HTML表格.

If instead we use Jupyter's HTML to display this, Jupyter knows to render this in the web browser as HTML and thus is is displayed as an HTML table.

HTML(data._repr_html_())

    col
0   0
1   1
2   2
3   3
4   4

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