Question

我的数据集是2个浮点数类型的比率。对于无穷大（除以零）情况，某些值具有inf。如何使用pd.qcut/pd.cut inf值处理q = pd.qcut(df['ratio'], 10) ValueError: Bin edges must be unique: array([ 1.20089207e+03, 6.02984295e+04, 1.26445577e+05, 2.29982770e+05, 5.13176079e+05, 1.28794976e+06, 4.96001538e+06, nan, nan, nan, inf])？

我的数据可以访问here。

var locations = [
  {name: 'point 0', location: [50.8674162,4.3772933]},
  {name: 'point 1', location: [50.8135113,4.3247394]},
  {name: 'point 2', location: [50.8771732,4.3544551]},
  {name: 'point 3', location: [50.8460485,4.3664706]}
];

function generateUl() {
  for(var i in locations) {
    li = $('<li>'+ locations[i].name +' ('+ locations[i].location.toString() +')</li>');
    li.data('d', locations[i])
    $('#points').append(li);
  }
}

$(document).ready(function() {
  generateUl();
  $('#points').sortable({
    update: function(event, ui) {
      new_locations = $(this).find('li').map(function(i, el) {
        return $(el).data('d')
      }).get()
      
      $('#display').html(JSON.stringify(new_locations));
    }
  });
});

Answer 1

您可以replace np.inf与np.nan然后dropna

q = pd.qcut(df.ratio.replace(np.inf, np.nan).dropna(), 10)

pd.qcut，其值为inf（无穷大）ValueError：Bin边必须是唯一的：

1 个答案: