NaN: not a number , INF:无穷大,-inf +inf , float('nan') float('+inf') float('-inf') int(), long() 都是向下转型,对应实数int long float还可以用以下方式取舍: bool布尔:用于if/while后做条件判断 True:非False即为True False: None, False, 数字类型0,空容器,包括空字符串‘’, class的_...
用于将 NumPy 与用 C、C++或 FORTRAN 编写的库连接的 C API 由于NumPy 提供了全面且有文档的 C API,因此将数据传递给用低级语言编写的外部库,以及让外部库将数据作为 NumPy 数组返回给 Python 是很简单的。这个特性使 Python 成为封装传统 C、C++或 FORTRAN 代码库并为其提供动态和可访问接口的首选语言。 虽...
downcast:A dict of item->dtype of what to downcast if possible, or the string ‘infer’ which will try to downcast to an appropriate equal type (e.g. float64 to int64 if possible). 模拟数据 再模拟一份数据: AI检测代码解析 df2 = pd.DataFrame([[np.nan, 2, np.nan, 0], [3, 4, ...
How to handle indexes on other axis (or axes).ignore_index : bool, default FalseIf True, do not use the index values along the concatenation axis. Theresulting axis will be labeled 0, ..., n - 1. This is useful if you areconcatenating objects where the concatenation axis does not hav...
| Return a pair of integers, whose ratio is exactly equal to the original | float and with a positive denominator. | Raise OverflowError on infinities and a ValueError on NaNs. | | >>> (10.0).as_integer_ratio() | (10, 1)
df.to_csv('E:\\demo.csv', encoding='utf-8', index=False) #index=False表示导出时去掉行名称,如果数据中含有中文,一般encoding指定为‘utf-8’ (五)读写SQL数据库 import pandas as pd import sqlite3 con = sqlite3.connect('...') sql = '...' ...
equal等于。not_equal不等于。logical_and逻辑与(&)。logical_or逻辑或(|)。logical_xor逻辑异或(^)。基本数组统计方法 名称说明sum对数组中全部或者是某个轴向的所有元素进行求和。零长度的数组的sum值为0。mean算术平均值。零长度的数组的mean值为NaN。std标准差。 自由度可调整(默认为n)。var方差。 自由度可...
buneng"""D.copy() -> a shallow copy of D"""pass@staticmethod#known casedeffromkeys(S, v=None):#real signature unknown; restored from __doc__"""dict.fromkeys(S[,v]) -> New dict with keys from S and values equal to v. v ...
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| | Return a pair of integers, whose ratio is exactly equal to the original float | and with a positive denominator. | | Raise OverflowError on infinities and a ValueError on NaNs. | | >>> (10.0).as_integer_ratio() | (10, 1) | >>> (0.0).as_integer_ratio() | (0, 1) | ...