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A nonparametric approach to the identification of magnetic anisotropies in ferromagnetic nanostructures is applied in order to study the influence of the bath acidity on the induced magnetic anisotropies in electrodeposited ferromagnetic nanowires. By using partial first order reversal curves (pFORC), we find a two-peak probability density function whose topology changes with the acidity of the electrodeposition bath. Numerical micromagnetic simulations suggest that this particular distribution originates in two populations of nonidentical nanowires with different magneto-crystalline anisotropies. Bath acidity values influence the balance between these two populations rather than the intrinsic properties of individual nanowires.