Advertisements I have a dataframe with numerical continuous values, I want to convert them into an ordinal value as a categorical feature. At the same time, when there is a numerical value that does not meet the boundaries, it is retuning as NaN. But I want to assign a new label for those values. My… Read More How to give label on pandas.cut() when a a value does not meet any boundaries

Advertisements Suppose I have a series of 2d coordinates (x,y) each corresponding to a weight, and after I sort them into bins (i.e. a little square area) I want to find the weight in each bin, which should be the added weights of points that fall into the bin. I used np.digitize to find which… Read More Sorting 2d array into bins and add weights in each bin

Advertisements df["A"].value_counts() (25.0, 38.0] 361594 (12.999, 25.0] 330552 (55.0, 218.0] 305439 (38.0, 55.0] 231683 Name: A, dtype: int64 we have following interval , whenever a new datapoint is coming I need to map to the following above interval . I want something like this . def func_(x): if (x> 12.999) & (x< 25.0): return (12.999,… Read More Assigning Pandas categories to new number