我有以下矩阵
c1st 1 2
c2nd a b a b
id1st id2nd
bar one 0.293321 -1.173014 0.045621 0.565526
two 0.078300 -1.061078 0.332950 -0.563532
baz one 0.578437 1.600270 -0.446242 -0.861848
two 0.025128 1.189281 -1.487797 -1.044918
foo one 1.791755 1.914113 0.334240 -0.698200
two -0.203376 0.321410 -0.445128 0.747344
qux one -1.375511 1.084954 -0.531304 -1.020195
two -0.094798 -1.066290 0.794430 -0.948802
由
生成import numpy as np
arrays = [np.array(['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux']),
np.array(['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two'])]
s = pd.Series(np.random.randn(8), index=arrays)
df = pd.DataFrame(np.random.randn(8, 4), index=arrays)
df.index.names = ['id1st', 'id2nd']
iterables = [[1, 2], ['a', 'b']]
df.columns = \
pd.MultiIndex.from_product(iterables, names=['c1st', 'c2nd'])
id2nd
移至列的第三级?c2nd
移至行索引的第三级?答案 0 :(得分:1)
如何将id2nd移至列的第三级?
使用div {
width: 100px;
height: 100px;
position: relative;
-webkit-animation-name: example; /* Safari 4.0 - 8.0 */
-webkit-animation-duration: 4s; /* Safari 4.0 - 8.0 */
animation-name: example;
animation-duration: 4s;
animation-timing-function: linear; /* Add this */
}
@keyframes example {
0% {
background-color: red;
left: 0px;
top: 0px;
transform-origin: 0% 0%; /* Add this */
transform: scale(0.1,1);
}
100% {
background-color: yellow;
left: 0px;
top: 0px;
transform-origin: 0% 0%; /* Add this */
transform: scale(1,1);
}
}
unstack
如何将c2nd移至行索引的第三级?
使用df.unstack()
Out[482]:
c1st 1 2 \
c2nd a b a b
id2nd one two one two one two one
id1st
bar 0.041343 -0.752158 -0.711644 -1.577000 -0.454746 -1.889375 -0.644445
baz 1.684986 -0.423235 1.143991 -0.136017 -2.735571 -0.024267 0.393892
foo 0.618897 1.356303 -1.153296 0.624918 0.693133 -0.804281 0.772482
qux 1.722674 -1.025345 -0.406572 -0.207286 -0.030559 0.773167 -0.446558
c1st
c2nd
id2nd two
id1st
bar -0.287645
baz -0.998609
foo 0.679210
qux 0.012901
stack