numpy中的0-1表示和Boolean类型具有一致性 loser_winner=np.array([1,0,0,1,0,1]) if[0,0,1]==[False,False,True]: print("1") else: print("0") # 1 print(~loser_winner.astype(np.bool)) # [ True False False False True False] mutation_idx=[True,True,True,False,False,False] lose...
# 需要导入模块: import numpy [as 别名]# 或者: from numpy importbool_[as 别名]def_do(self, pop, other, is_duplicate):defto_float(val):ifisinstance(val, bool)orisinstance(val, np.bool_):return0.0ifvalelse1.0else:returnvalifotherisNone:foriinrange(len(pop)):forjinrange(i +1, len(po...
np.bool_ bool Boolean (True or False) stored as a byte np.byte signed char Platform-defined np.ubyte unsigned char Platform-defined np.short short Platform-defined np.ushort unsigned short Platform-defined np.intc int Platform-defined np.uintc unsigned int Platform-defined np.int_ long Platfor...
np.int8int8_tByte (-128 to 127) np.int16int16_tInteger (-32768 to 32767) np.int32int32_tInteger (-2147483648 to 2147483647) np.int64int64_tInteger (-9223372036854775808 to 9223372036854775807) np.uint8uint8_tUnsigned integer (0 to 255) np.uint16uint16_tUnsigned integer (0 to 65535)...
Boolean (True or False) stored as a byte np.byte signed char Platform-defined np.ubyte unsigned char Platform-defined np.short short Platform-defined np.ushort unsigned short Platform-defined np.intc int Platform-defined np.uintc unsigned int Platform-defined np.int_ long Platform-defined np.ui...
It’s often only necessary to care about the general kind of data you’re dealing with, whether floating point, complex, integer, boolean, string, or general Python object. When you need more control over how data are stored in memory and on disk, especially large datasets, it is good ...
linspace(1, 12, 12, dtype=np.int16).reshape(3, 4) >>> arr array([[ 1, 2, 3, 4], [ 5, 6, 7, 8], [ 9, 10, 11, 12]], dtype=int16) >>> arr<5 #以boolean矩阵的类型返回,小于5的值为True array([[ True, True, True, True], [False, False, False, False], [False,...
columns : sequence, optional Columns to write。可选列写入 header : boolean or list of string, default True:字符串或布尔列表,默认为true。写出列名。如果给定字符串列表,则假定为列名的别名。 index : boolean, default True:布尔值,默认为Ture。写入行名称(索引) index_label : string or sequence, or ...
The numpy. where function is a vectorized of the ternary(三元的) expression x if condition else y. (np.where(cond T, F)的三元表达式) Suppose we had a boolean array and two arrays of values: xarr = np.array([1.1,1.2,1.3,1.4,1.5]) ...
You can access parts of an NDarray usingarray slicing. C# doesn't support the colon syntax in indexers i.e.a[:, 1]. However, by allowing to pass a string we circumvented this limitation, i.e.a[":, 1"]. Only the...operator is not yet implemented, as it is not very important....