import pandas as pd # calculate standard deviation import numpy as np print(np.std([4, 7, 2, 1, 6, 3])) print(np.std([6, 9, 15, 2, -17, 15, 4])) 输出 2.1147629234082532 10.077252622027656 范例2: import pandas as pd
# Calculate Standard Deviation # of 'Fare' column std=dataset['Fare'].std() # Print standard deviation print(std) 输出: 49.693428597180905 6.最大: 使用DataFrame/Series.max() 方法计算最大值。 语法:DataFrame/Series.max(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs...
Output: --- Calculate Mean --- Apple 16.500000 Orange 11.333333 Banana 11.666667 Pear 16.333333 dtype: float64 --- Calculate Median --- Apple 8.5 Orange 14.0 Banana 8.5 Pear 10.0 dtype: float64 --- Calculate Mode --- Apple Orange Banana Pear 0 7 14 1 8 测量DataFrame 列的方差和标准偏差...
To calculate standard deviation of all numerical features, try DataFrame.std(axis=0, skipna=True, ddof=1, numeric_only=False, **kwargs) , where ddof: int, Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements.To have the same...
--- Calculate Mean --- Apple 16.500000 Orange 11.333333 Banana 11.666667 Pear 16.333333 dtype: float64 --- Calculate Median --- Apple 8.5 Orange 14.0 Banana 8.5 Pear 10.0 dtype: float64 --- Calculate Mode --- Apple Orange Banana Pear 0 7 14 1 8 83测量 DataFrame 列的方差和标准偏差 im...
---Calculate Mean---Apple16.500000Orange11.333333Banana11.666667Pear16.333333dtype:float64---Calculate Median---Apple8.5Orange14.0Banana8.5Pear10.0dtype:float64---Calculate Mode---Apple Orange Banana Pear071418 83测量 DataFrame 列的方差和标准偏差 importpandasaspd df=pd.DataFrame([[10...
(similar to Pandas), to visualize and explore big tabular datasets. It can calculate statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid up to a billion (109) objects/rows per second. Visualization is done using histograms, density plots and 3d volume ...
Featuretools是一个基于 pandas 的自动功能工程的Python库。它擅长使用可重用的特征工程“基元”将时间和关系数据集转换为用于机器学习的特征矩阵。用户可以使用Python贡献自己的原语,并与社区的其他人共享。 可视化 Altair Altair是用于Python的声明性统计可视化库。 使用 Altair,您可以花费更多时间来理解数据及其含义。 Alt...
Split a pandas object into piece using one or more keys(in the form of functions, array, or DataFrame column names) 使用多个键将padnas对象分割 Calculate group summary statistics, like count, mean, or standard deviation, or a user-define function 计算组汇总统计信息,如计数、平均值、标准差或用...
Default: False period (int, float): Period to use to calculate Mean Annual Return and Annual Standard Deviation. Default: RATE["TRADING_DAYS_PER_YEAR"] (currently 252) >>> result = ta.sharpe_ratio(close, benchmark_rate=0.0, log=False) """ ...