In this paper, we introduce FIPS, the first method for sampling interval patterns from numerical data. FIPS is built on the multi-step approach framework (Boley et al.). We formally demonstrate that FIPS samples interval patterns in proportion to their frequency. The experiments, covering various research questions, highlight the quality of the patterns sampled by FIPS for effective knowledge discovery.