我有一个pandas Dataframe，N列表示矢量的坐标（例如X，Y，Z，但可能超过3D）。
我希望使用组合列的任意函数来聚合沿着行的数据框，例如标准：(X^2 + Y^2 + Y^2)。
我想做类似于here和here以及here的操作，但我想保持足够的通用，以便列数可以更改，其行为类似于< / p>
DataFrame.mean(axis = 1)
或
DataFrame.sum(axis = 1)
答案 0 :(得分：18)
我找到了比@elyase建议更快的解决方案：
np.sqrt(np.square(df).sum(axis=1))
答案 1 :(得分：6)
Numpy提供常规......使用：
np.linalg.norm(df[['X','Y','Z']].values,axis=1)
答案 2 :(得分：2)
按名称过滤列
cols = ['X','Y','Z']
df[cols].mean(axis=1)
df[cols].sum(axis=1)
df[cols].apply(lambda values: sum([v**2 for v in values]), axis=1)
答案 3 :(得分：2)
您正在寻找apply。你的例子看起来像这样：
>> df = pd.DataFrame([[1, 1, 0], [1, 0, 0]], columns=['X', 'Y', 'Z'])
X Y Z
0 1 1 0
1 1 0 0
>>> df.apply(lambda x: np.sqrt(x.dot(x)), axis=1)
0 1.414214
1 1.000000
dtype: float64
这适用于任意数量的维度。
答案 4 :(得分：0)
一行，使用所需的任何功能（包括lambda函数），例如
Page1.html
<!DOCTYPE html>
<html>
<body>
<p>Click the button to get a time-based greeting:</p>
INCOME: <input type="text" id="myinput" value="">
DEDUCTION: <input type="text" id="myinput1" value="" readonly>
GROSS INCOME: <input type="text" id="myinput2" value="" readonly>
TAX: <input type="text" id="myinput3" value=""readonly>
NET INCOME: <input type="text" id="myinput4" value="">
<button id="click1">CALCULATE NET INCOME</button><br><br>
NET INCOME: <input type="text" id="myinput5" value="">
<label>SELECT MENU:</label>
<select class="fee">
<option>Select</option>
<option value="1000">1000</option>
<option value="2000">2000</option>
<option value="3000">3000</option>
</select>
<input type="radio" name="gender" value="1500" >1500 FOR MALE
<input type="radio" name="gender" value="1000" >1000 FOR FEMALE
<input type="radio" name="gender" value="500" >500 FOR OTHER
<input type="checkbox" name="car1" value="10000" >INVESTMENT ONE
<input type="checkbox" name="car1" value="20000" >INVESTMENT TWO
<input type="checkbox" name="car1" value="30000" >INVESTMENT THREE
AGRI INCOME: <input type="text" id="myinput6" value="">
OTHER SOURCE: <input type="text" id="myinput7" value="">
TOTAL INCOME: <input type="text" id="myinput8" value="">
<button id="click2">CALCULATE TOTAL INCOME</button>
<button id="click3">next</button>
<p id="demo"></p>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
<script>
$(document).ready(function(){
$("#click1").click(function a(){
myfunction();
});
function myfunction() {
var tax, tax1, tax2;
var inc = $("#myinput").val();
alert(inc);
$("#myinput1").val(10000);
tax1 = inc - 10000;
$("#myinput2").val(tax1);
if (tax1 <=250000) {
tax = "0";
}
else if (tax1 >250000 && tax1<=500000) {
tax = (tax1 - 250000)*5/100;
}
else if (tax1 >500000 && tax1<=1000000) {
tax = 12000 + ((tax1 - 500000)*20/100);
}
else { tax = 112000 + ((tax1 - 1000000)*30/100);
}
$("#myinput3").val(tax);
tax2 = tax1 - tax;
$("#myinput4").val(tax2);
$("#myinput5").val(tax2);
}
$("#click2").click(function b(){
myfunction1();
});
function myfunction1() {
var tax4, tax5, tax6, tax7, tax8, tax9, tax10, tax11;
var ni=$("#myinput4").val();
var fee = $(".fee").val();
var rd = $("input[name='gender']:checked").val();
var ck = [];
$.each($("input[name='car1']:checked"), function(){
ck.push($(this).val());
});
alert(ck);
var tax4 = $("#myinput6").val();
var tax5 = $("#myinput7").val();
a=parseInt(fee);
n=parseInt(rd);
o=parseInt(ck.join(", "));
m=parseInt(ni);
k=parseInt(tax4);
l=parseInt(tax5);
tax6 = k + l + m + n + a + o;
$("#myinput8").val(tax6);
$("#click3").click(function c(){
window.location.href="getset-index2.html?tax7="+$('#myinput8').val()+"&tax8="+$('#myinput4').val()+"&tax9="+$(".fee").val()+"&tax10="+$("input[name='gender']:checked").val();
});
}
});
</script>
</body>
</html>
Page2.html
<!DOCTYPE html>
<html>
<head>
<style>
</style>
</head>
<body>
TOTAL INCOME: <input type="text" id="myinput9" value="" readonly>
NET INCOME: <input type="text" id="myinput10" value="">
FEE: <input type="text" id="myinput11" value="">
PANELTY: <input type="text" id="myinput12" value="">
INVESTMENT: <input type="text" id="myinput13" value="">
EMI CAR: <input type="text" id="myinput14" value="">
TOTAL NET INCOME: <input type="text" id="myinput15" value="">
<button id="click4">CALCULATE NET INCOME</button><br><br>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
<script>
var urlParams = new URLSearchParams(window.location.search);
tax9 = urlParams.get('tax7');
tax10 = urlParams.get('tax8');
tax11 = urlParams.get('tax9');
tax12 = urlParams.get('tax10');
tax13 = urlParams.get('tax11');
$("#myinput9").val(tax9);
$("#myinput10").val(tax10);
$("#myinput11").val(tax11);
$("#myinput12").val(tax12);
$(document).ready(function(){
$("#click4").click(function d(){
myfunction2();
});
function myfunction2() {
var tax11, tax12, tax13;
var gettax9 = $("#myinput9").val();
var gettax10 = $("#myinput10").val();
var tax12 = $("#myinput14").val();
x=parseInt(gettax9);
y=parseInt(gettax10);
z=parseInt(tax12);
tax13 = x + y + z;
$("#myinput15").val(tax13);
}
});
</script>
</body>
</html>
或
df.apply(np.linalg.norm, axis=1)