博客插入 jupyter notebook样式
Posted gshang
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普通代码测试
raw_data_X = [[3.393533211, 2.331273381],
[3.110073483, 1.781539638],
[1.343808831, 3.368360954],
[3.582294042, 4.679179110],
[2.280362439, 2.866990263],
[7.423436942, 4.696522875],
[5.745051997, 3.533989803],
[9.172168622, 2.511101045],
[7.792783481, 3.424088941],
[7.939820817, 0.791637231]
]
raw_data_y = [0, 0, 0, 0, 0, 1, 1, 1, 1, 1]
X_train = np.array(raw_data_X)
y_train = np.array(raw_data_y)
jupyter notebook代码测试
raw_data_X = [[3.393533211, 2.331273381],
[3.110073483, 1.781539638],
[1.343808831, 3.368360954],
[3.582294042, 4.679179110],
[2.280362439, 2.866990263],
[7.423436942, 4.696522875],
[5.745051997, 3.533989803],
[9.172168622, 2.511101045],
[7.792783481, 3.424088941],
[7.939820817, 0.791637231]
]
raw_data_y = [0, 0, 0, 0, 0, 1, 1, 1, 1, 1]
X_train = np.array(raw_data_X)
y_train = np.array(raw_data_y)
X_train
array([[ 3.39353321, 2.33127338],
[ 3.11007348, 1.78153964],
[ 1.34380883, 3.36836095],
[ 3.58229404, 4.67917911],
[ 2.28036244, 2.86699026],
[ 7.42343694, 4.69652288],
[ 5.745052 , 3.5339898 ],
[ 9.17216862, 2.51110105],
[ 7.79278348, 3.42408894],
[ 7.93982082, 0.79163723]])
实现方法(仅供参考)
#cnblogs_post_body{
counter-reset: section;
}
.in:before{
counter-increment: section;
min-width:60px;
display:block;
content:"in [" counter(section) "] :";
display:block;
color:#303F9F
}
.out:before{
counter-increment: section;
min-width:60px;
display:block;
content:"out [" counter(section) "] :";
display:block;
color:#d84329
}
.in,.out{
display:grid;
grid-template-columns:auto 1fr;
grid-gap:10px;
}
.in pre,.out pre,
.in pre code.hljs,.out pre code.hljs,
.in .pre-numbering, .out .pre-numbering{
background:var(-)!important;
}
.out pre,
.out pre code.hljs,
.out .pre-numbering{
background:var(--background-color-base)!important;
}
编写时 在markdown外部包裹<div class="in"></div>
或<div class="out"></div>
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