How to use 'pandas sample datasets' in Python

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143def 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])
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