示例2 forsimnuminrange(numsims):data=[]# Xs using usf_item indicesdata_hier=[]# Xs using individual graph indices (nodes only generated by subject)numnodes=[]# number of unique nodes traversed by each participantitems=[]# individual participant index-label dictionariesstartseed=seednum# ra...
Python code to flatten a list of pandas dataframe # Importing pandas packageimportpandasaspd# Creating a dictionaryd={'Sales_In_Both_Quarter':[[13450,16347,18920,22039],[10000,9000,8263,1929]],'Profit':['Yes','No'] }# Creating a DataFramedf=pd.DataFrame(d)# Display DataFrameprint("DataF...
# 需要导入模块: import apache_beam [as 别名]# 或者: from apache_beam importFlatten[as 别名]defexpand(self, sliced_extracts):defpartition_fn(_, num_partitions):returnself._random_state.randint(num_partitions)# Partition the data# List[PCollection[Tuple[slicer.SliceKeyType, types.Extracts]]]par...
sorted_models = list(reversed(toposort.toposort_flatten(dependencies)))defsorted_model_key(query_fk_tuple):cmp_query, cmp_fk = query_fk_tupleifcmp_query.op.lower() =="in":return-1returnsorted_models.index(cmp_fk.model.__name__) filtered_ops.sort(key=sorted_model_key)#NOTE:We do not...