import polars as pl import time # 读取 CSV 文件 start = time.time() df_pl_gpu = pl.read_csv('test_data.csv') load_time_pl_gpu = time.time() - start # 过滤操作 start = time.time() filtered_pl_gpu = df_pl_gpu.filter(pl.col('value1') > 50) filter_time_pl_gpu = time.t...
#1.随机选择一个点 center=[]center.append(random.choice(range(len(self.data[0])))#2.根据距离的概率选择其他中心点foriinrange(self.k-1):weights=[self.distance_closest(self.data[0][x],center)forxinrange(len(self.data[0]))ifx notincenter]dp=[xforxinrange(len(self.data[0]))ifx not...
AI代码解释 # Fill an input to the rightof"Username".page.locator("input:right-of(:text(\"Username\"))").fill("value"
change in gamma to continue minimum_probability=0.01, # Filter topics with lower probability random_state=None, ns_conf=None, minimum_phi_value=0.01, # lower bound on term probabilities per_word_topics=False, # Compute most word-topic probabilities callbacks=None, dtype=<class 'numpy.float32'>...
dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)"""defclear(self):#real signature unknown; restored from __doc__"""清除内容"""D.clear() -> None. Remove all items from D."""passdefcopy(self):...
data([key],[value]) removeData([name|list]) jQuery.data(element,[key],[value]) queue(element,[queueName]) dequeue([queueName]) clearQueue([queueName]) jQuery.noConflict([extreme] 选择器 #id element .class * selector1,selector2,selectorN ...
def getTwoClosestElements(seq): #先进行排序,使得相邻元素最接近 #相差最小的元素必然相邻 seq = sorted(seq) #无穷大 dif = float('inf') #遍历所有元素,两两比较,比较相邻元素的差值 #使用选择法寻找相差最小的两个元素 for i,v in enumerate(seq[:-1]): ...
Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in Sign up Appearance settings Reseting focus {{ message }} cucy / pyspark_project Public ...
in which each key is a new column nameand each value is a list of old column names that will be "melted" underthe new column name as part of the reshape.Parameters---data : DataFrameThe wide-format DataFrame.groups : dict{new_name : list_of_columns}.dropna : bool, default TrueDo...
在searchAgents.py中已经实现了ClosestDotSearchAgent, 但缺少一个关键函数,该函数搜索到最近豆的路径。 在文件searchAgents.py中实现findPathToClosestDot函数。 python pacman.py -l bigSearch -p ClosestDotSearchAgent -z .5 提示: 完成 findPathToClosestDot 的最快方式是填满AnyFoodSearchProblem, 该问题缺少...