对于简单的表格,如下所示:
df.loc[['b','a'],:]
Out[21]:
0 1 2
b 4 5 6
a 1 2 3
我们可以通过调用以下内容交换两行“ a”和“ b”:
df = pd.DataFrame(np.arange(12).reshape((4, 3)),
index=[['a', 'a', 'b', 'b'], [1, 2, 1, 2]],
columns=[['Ohio', 'Ohio', 'Colorado'],
['Green', 'Red', 'Green']])
Ohio Colorado
Green Red Green
a 1 0 1 2
2 3 4 5
b 1 6 7 8
2 9 10 11
我希望loc()调用对以下多级索引表具有相同的作用:
df.loc[['b','a'],:]
但是当我跑步时:
df.reindex(index=['b', 'a'], level=0)
Ohio Colorado
Green Red Green
b 1 6 7 8
2 9 10 11
a 1 0 1 2
2 3 4 5
表保持不变。
我可以通过调用以下内容来交换行:
df.loc[['b','a'],:]
我的.page-light {
background-repeat: no-repeat;
background-position: center top;
}
@media (max-width: 767.98px) {
.page-light {
background-image: url('/img/hero/front-introduction-mobile.png');
}
}
@media (min-width: 768.00px) {
.page-light {
background-image: url('/img/hero/front-introduction-1.png');
-webkit-animation: animation-home-background 9000ms infinite;
-moz-animation: animation-home-background 9000ms infinite;
-o-animation: animation-home-background 9000ms infinite;
animation: animation-home-background 9000ms infinite;
-webkit-animation-delay: 1s;
/* Chrome, Safari, Opera */
animation-delay: 3s;
}
}
@-webkit-keyframes animation-home-background {
0% {
background-image: url('/img/hero/front-introduction-1.png');
}
40% {
background-image: url('/img/hero/front-introduction-2.png');
}
80% {
background-image: url('/img/hero/front-introduction-3.png');
}
100% {
background-image: url('/img/hero/front-introduction-1.png');
}
}
@keyframes animation-home-background {
0% {
background-image: url('/img/hero/front-introduction-1.png');
}
33% {
background-image: url('/img/hero/front-introduction-2.png');
}
66% {
background-image: url('/img/hero/front-introduction-3.png');
}
100% {
background-image: url('/img/hero/front-introduction-1.png');
}
}
发生了什么事?