def reduce_mem_usage(props): start_mem_usg = props.memory_usage().sum() / 1024**2 print("Memory usage of properties dataframe is :",start_mem_usg," MB") NAlist = [] # Keeps track of columns that have missing values filled in. for col in props.columns: if props[col].dtype !=...
def reduce_mem_usage(df, verbose=True): numerics = ['int16', 'int32', 'int64', 'float16', 'float32', 'float64'] cateics = ['object'] start_mem = df.memory_usage().sum() / 1024**2 for col in df.columns: col_type = df[col].dtypes num_unique_values = len(df[col].un...
4. Improved error messages: Python 3.9 includes improved error messages, making it easier for developers to understand and troubleshoot issues in their code. Error messages now provide more context and suggestions for potential fixes. This improvement helps reduce debugging time and makes Python a mo...
可以尝试kaggle比赛 # 中的reduce_mem_usage函数，附在文末，主要原理是把int64/float64 # 类型的数值...
'__le__', '__lt__', '__module__', '__mro__', '__name__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasscheck__', '__subclasses__', '__subclasshook__', '__weakrefoffset__'...
mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services. PySpark - Apache Spark Python API. Ray - A system for parallel and distributed Python that unifies the machine learning ecosystem. Stream Processing faust - A stream processing library, porting the ideas from Kafka Streams to Python...
def reduce_mem_usage(df, verbose=True): numerics = ['int16', 'int32', 'int64', 'float16', 'float32', 'float64'] start_mem = df.memory_usage().sum() / 1024**2 for col in df.columns: col_type = df[col].dtypes if col_type in numerics: ...
1、Lambda、Map、Filter、Reduce函数 lambda 关键字,是用来创建内联函数 (Inline Functions) 的。square_fn 和 square_ld 函数,在这里是一样的。 1def square_fn(x): 2 return x * x 3 4square_ld = lambda x : x * x 5 6for i in range(10): 7 assert square_fn(i) == square_ld(i) lam...
接下来分别介绍filter,map和reduce。 1、filter(bool_func,seq):map()函数的另一个版本,此函数的功能相当于过滤器。调用一个布尔函数bool_func来迭代遍历每个seq中的元素;返回一个使bool_seq返回值为true的元素的序列。 例如: >>> filter(lambda x : x%2 == 0,[1,2,3,4,5]) ...
a caching mechanism can be used to reduce the impact by caching frequently accessed data in RAM and directly reading from RAM the next time if the same data is accessed. This mechanism is generally implemented by the firmware at the lower level, and users can configure the size and number ...