By use of precipitation data in Guizhou province from 1961 to 2012,the paper chose six indexes of extreme precipitation,and combined ArcGIS spatial analysis tool, Mann-Kendall test, sliding T-test, Morlet wavelet cycle analysis, rescaled range analysis to analyze the law of spatial variation of extreme climate events. Result showed that ①The continuous wet days (CWD) exhibit significant decreasing trend during 52 years,the maximum 1-day precipitation and density of precipitation（SDII） increase but is not notable,the maximum 5-day precipitation (RX5day), strong precipitation (R95) and annual very heavy precipitation days (R20mm) present the unnotable decrease trend, but the variation trend of them was not significant. In contrast, there was not an obvious increasing trend in maximum 1-day precipitation (RX1day) and simple daily intensity index (SDII).②Abrupt change points of RX1day, RX5day, SDII and R20mm were at 1973, 1972, 1981 and 1992, respectively;③Almost all extreme precipitation indexes exist the major cycle of 6 to 7 and minor cycle of 10 to 12;④The high value zone of extreme precipitation is southwest and southeast areas in Guizhou province, while the low value zone is northeast areas in Guizhou province. ⑤There are significant positive correlation between precipitation indexes and total precipitation;⑥The extreme precipitation indexes will keep long-term memory in the future. The change of extreme precipitation has negative impacts on the agricultural production and water resources development in the Guizhou province and increases the risk of natural disasters.