How to Vectorize your Pandas Code Use Built-in Pandas and NumPy Functions that have implemented C likesum(),mean(), ormax(). Use vectorized operations that can apply to entire DataFrames and Series including mathematical operations, comparisons, and logic to create a boolean mask to select mul...
microbenchmark( "append" = { x <- c() for (i in 1:1000) x <- c(x, rnorm(1)) }, "fill" = { x <- rep(NA, 1000) for (i in 1:1000) x[i] <- rnorm(1) }, "vectorize" = rnorm(1000) ) ## Unit: microseconds ## expr min lq mean median uq max neval ## append 3...
instead, we created a price column of type DECIMAL, we would cast 0.8 to a DECIMAL and then construct a BinaryExpr with a different Fn specialized for multiplying DECIMALs. 为了执行乘法运算,需要将基准值转换为预期类型。相反
topicinenumerate(lda_model.components_):# Get indices of top wordstop_word_indices = topic.argsort()[:-10-1:-1]# Use these indices to get actual wordstop_words = [feature_names[i]foriintop_word_indices