如何修改Pychem中的代码以规避numpy多维索引相关的FutureWarning

The warning you're hitting comes from NumPy phasing out support for non-tuple sequences when doing multidimensional indexing. In your code, np.meshgrid(...) returns a list of arrays, and passing that directly to self.commission_matrix[...] triggers the deprecation alert.

The Simple Fix #

All you need to do is wrap the result of np.meshgrid in tuple() to convert the sequence into the format NumPy now recommends for indexing:

for exc_name in self.exchanges.keys():
    indexes = [index for cur_name, index in self.currency2index.items() if exc_name in cur_name]
    # Convert meshgrid's list output to a tuple
    grid_indices = tuple(np.meshgrid(indexes, indexes, indexing='ij', sparse=True))
    self.commission_matrix[grid_indices] = self.trading_fee[exc_name]

Why This Works #

• When using sparse=True, np.meshgrid returns two 2D sparse arrays (one for row indices, one for column indices) packaged in a list.
• NumPy’s updated indexing rules require multidimensional indices to be passed as a tuple of arrays instead of a list. Wrapping the meshgrid result in tuple() adjusts the format to match this requirement, wiping out the warning without changing your code’s actual behavior.

This tweak keeps your code future-proof while maintaining exactly the same output you’re getting now.

内容的提问来源于stack exchange，提问作者Bsarv