You can use np.repeat()
import pandas as pd
import numpy as np
# your data
# ========================
df
x count
0 d 2
1 e 3
2 f 2
# processing
# ==================================
np.repeat(df.values, df['count'].values, axis=0)
array([['d', 2],
['d', 2],
['e', 3],
['e', 3],
['e', 3],
['f', 2],
['f', 2]], dtype=object)
pd.DataFrame(np.repeat(df.values, df['count'].values, axis=0), columns=['x', 'count'])
x count
0 d 2
1 d 2
2 e 3
3 e 3
4 e 3
5 f 2
6 f 2
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