How to use 'pandas sample datasets' in Python
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143 def random_undersampling(dataset): 144 minority_set = dataset[dataset.Trend == -1.0] 145 majority_set = dataset[dataset.Trend == 1.0] 146 147 # print(dataset.Trend.value_counts()) 148 149 # If minority set larger than majority set, swap 150 if len(minority_set) > len(majority_set): 151 minority_set, majority_set = majority_set, minority_set 152 153 # Downsample majority class 154 majority_downsampled = resample(majority_set, 155 replace=False, # sample without replacement 156 n_samples=len(minority_set), # to match minority class 157 random_state=123) # reproducible results 158 159 # Combine minority class with downsampled majority class 160 return pd.concat([majority_downsampled, minority_set])