Reports

Seems like you want to group by curveLocations and get the aggregation of distinctCrossings as sum.

import numpy as np
arrayCurveLocations = [
    [1, 3],
    [2, 5],
    [1, 7],
    [3, 2],
    [2, 6]
]
arrayCurveLocations = np.array(arrayCurveLocations)

If you want below as result:

[
    [1, 10],
    [2, 11],
    [3, 2]
]

Then I can show how it can be done with pandas.

import pandas as pd
df = pd.DataFrame(arrayCurveLocations, columns=['curveLocations', 'distinctCrossings'])
result = df.groupby('curveLocations', as_index=False)['distinctCrossings'].sum()
result_array = result.values
print(result_array)

If you want to rely on only numpy to solve your problem, then this Link could help.

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