Based on daily maximum and minimum temperatures observed by the China Meteorological Administration at the Xi'an meteorological station during the period 1960-2015, the series exhibiting breakpoints are adjusted using RH test software. Temporal trends of 16 extreme temperature indices are evaluated by leastsquares linear regression and moving average methods; the linear trends are significant for 11 of these 16 indices. The trends of extreme temperature indices for Xi'an, China, the globe, and other regions in China are compared. Further, trends of the relative magnitudes of cold versus warm indices and day versus night indices are compared. The results are as follows: 1) Due to the migration of the meteorological station, the value of the temperature series is lower than the original meteorological station data. The warming trends of extreme temperatures are underestimated based on the in- homogeneity dataset. 2) In the context of global warming, extreme temperature variation presents its own characteristics in Xi'an. First, the extreme temperature trends show rapid warming with stable fluctuation, but the opposite trends occur in warm and cold indices; warm indices increase while cold indices decrease. Second, the warming trends are faster during the nighttime than the daytime, whereas the amplitudes of fluctuations are greater during the daytime than the nighttime. Third, warm spell events increase slowly, but cold spell events decrease rapidly. 3) Extreme temperature indices are compared between Xi'an and other regions (the southern and northern regions of the Qinling Mountains, the Loess Plateau, northeast China, etc.). Due to the impact of the urban heat island phenomenon, the decrease of extreme low temperature events is more pronounced in Xi'an than in the other regions compared. 4) With regard to daytime versus nighttime indices, the nighttime indices in all regions show the characteristic of warming faster than the daytime indices. In the case of cold versus warm indices, Xi'an exhibits its regional features: the warming magnitude is faster on cold days than on warm days, and a similar trend is seen on cold nights and warm nights; indices of cold and warm spell durations show a downward trend. Overall, this study indicates that the trends of temperature extremes in Xi'an are in accordance with global warming during 1960-2015.