2)))# 打印DataFrame的内容print(df)if__name__=='__main__':# 创建DataFramedata={'A':[1,2],'B':[3,4]}df=pd.DataFrame(data)# 创建共享内存shared_df=mp.Array('d',df.values.flatten())# 创建子进程
pd.drop_duplicates无法工作，经过几个小时的故障排除后，我决定在清理数据集时删除所有可能有重复行的行...
AI检测代码解析 >>> vec = [-4, -2, 0, 2, 4]>>> # create a new list with the values doubled>>> [x*2 for x in vec] [-8, -4, 0, 4, 8]>>> # filter the list to exclude negative numbers>>> [x for x in vec if x >= 0] [0, 2, 4]>>> # apply a function to...
base import flatten, tokenize from dask.highlevelgraph import HighLevelGraph from dask.utils import funcname from dask.utils import funcname, is_integer, parse_bytes from fsspec.utils import infer_compression from dask_awkward.layers import AwkwardBlockwiseLayer, AwkwardInputLayer from dask_awkward....
export function flatten(nestedArray: any[][]) { // tslint:disable-line:no-any const result = []; (function loop(array: any[]) { for (var i = 0; i < array.length; i++) { (function loop(array: any[]) { // tslint:disable-line:no-any for (let i = 0; i < array.length...
array-flatten 1.1.1 间接依赖 npm node-forge 1.3.1 间接依赖 npm p-limit 3.1.0 间接依赖 npm stream-http 2.8.3 间接依赖 npm eslint-scope 7.2.0 间接依赖 npm escape-html 1.0.3 间接依赖 npm type-is 1.6.18 间接依赖 npm expand-brackets 2.1.4 间接依赖 npm svg-parser 2.0.4 间接依赖 npm ...
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dependencies: arr-flatten "^1.1.0" array-unique "^0.3.2" extend-shallow "^2.0.1" fill-range "^4.0.0" isobject "^3.0.1" repeat-element "^1.1.2" snapdragon "^0.8.1" snapdragon-node "^2.0.1" split-string "^3.0.2" to-regex "^3.0.1" braces@~3.0.2: ...
As a result, the function has large derivative values when the input is close to 0 and 1. This property can promote the decoupling between features, making each feature independent of other features to a certain extent. This helps to reduce redundant information between features and improve the...
Use imagery from 17 different regions in Europe to train 17 RF classifiers 2. Use those 17 classifiers to classify each of the regions It will be a multitmeporal classification, using greenest pixel values of 14-day time intervals from a total time range of 2018-04-01 to 2018-10-31. ...