Jupyter试验¶

此页面仅测试 Jupyter 在 mkdocs 生成页面的稳定性.

pandas¶

In [15]:

import numpy as np
import pandas as pd

import numpy as np import pandas as pd

In [16]:

dates = pd.date_range('20130101', periods=6)
df = pd.DataFrame(np.random.randn(6, 4), index=dates, columns=list('ABCD'))
df

dates = pd.date_range('20130101', periods=6) df = pd.DataFrame(np.random.randn(6, 4), index=dates, columns=list('ABCD')) df

Out[16]:

	A	B	C	D
2013-01-01	0.964615	0.499607	0.861751	1.019190
2013-01-02	0.655980	-0.773237	-0.828954	0.853228
2013-01-03	0.664080	-0.521969	2.215162	-0.806104
2013-01-04	-0.621929	1.511482	-0.908521	-3.043326
2013-01-05	-1.114458	-0.385777	2.176734	-0.345221
2013-01-06	0.948003	-2.841823	-0.135223	-0.307160

shell¶

In [17]:

%%script bash
echo "这是 git 的提交历史"
echo "请在shell有bash的条件下执行"
git reflog

%%script bash echo "这是 git 的提交历史" echo "请在shell有bash的条件下执行" git reflog

这是 git 的提交历史
请在shell有bash的条件下执行
7173168 HEAD@{0}: commit: Fix an error in Logic
5e352b3 HEAD@{1}: commit: Logic Notes Modification
0e7750c HEAD@{2}: commit: Logic Notes Update
7422b7e HEAD@{3}: commit: Real analysis update
94e51d4 HEAD@{4}: commit: Set theory and logic update
de3982d HEAD@{5}: commit: Probability Theory Notes Update
ac44f4d HEAD@{6}: clone: from https://github.com/xiong-ZH-zq/xzqbear-blogs.git

JS¶

In [18]:

%%script js
console.log("这里是 Javascript 执行内容")

%%script js console.log("这里是 Javascript 执行内容")

这里是 Javascript 执行内容

含有图片的内容¶

In [19]:

import matplotlib.pyplot as plt
num_points = 130
y = np.random.random(num_points)
plt.plot(y)

import matplotlib.pyplot as plt num_points = 130 y = np.random.random(num_points) plt.plot(y)

Out[19]:

[<matplotlib.lines.Line2D at 0x7f7bdea7ccd0>]