首先导入pandas及数据文件,利用loc获取pandas的某行数据,可以使用类似list的切片操作 1importpandas as pd23info = pd.read_csv('info.csv')4#Get the certain row of csv list5print(info.loc[0])6print(info.loc[3:7])7print('---')8#Get certain column(columns) by column name(name list)9print...
The “DataFrame.std()” method of the “pandas” module is utilized to retrieve the standard deviation of the given DataFame over the requested axis. The syntax of the “DataFrame.std()” method is shown below: DataFrame.std(axis=None, skipna=True, ddof=1, numeric_only=False, **kwargs...
1.1 数据读取 importtushareasts# 读取两个股票的历史数据,并保存为文件data_000061 = ts.get_hist_data('000061', start='2018-01-01', end='2019-01-01') data_399300 = ts.get_hist_data('399300', start='2018-01-01', end='2019-01-01') data_000061.to_excel('农产品.xlsx') data_399...
9 X 2 19 In [14]: df.groupby('A')['B'].agg({'mean':np.mean, 'standard deviation': np.std}) Out[14]: mean standard deviation A X 2.250000 0.957427 Y 2.000000 1.000000 Z 1.333333 0.577350 针对不同的列应用多种不同的统计方法 In [15]: df.groupby('A').agg({'B':[np.mean, '...
stdBessel-corrected sample standard deviation varUnbiased variance idxmaxcompute the index labels with ...
get_offset、verify_series 函数from pandas_ta.utils import get_offset, verify_series# 定义函数 tos_stdevall,计算 Think or Swim 标准偏差def tos_stdevall(close, length=None, stds=None, ddof=None, offset=None, **kwargs):"""Indicator: TD Ameritrade's Think or Swim Standard Deviation All"""...
()# 统计标准差std = df['column_name'].std()# 统计最大值max_value = df['column_name'].max()# 统计最小值min_value = df['column_name'].min()print('Count: {} \nMean: {} \nStandard Deviation: {} \nMax Value: {} \nMin Value: {}'.format(count, mean, std, max_value, ...
std Sample standard deviation of valuesskew Sample skewness (third moment) of valueskurt Sample kurtosis (fourth moment) of valuescumsum Cumulative sum of valuescummin, cummax Cumulative minimum or maximum of values, respectivelycumprod Cumulative product of values...
---Measure Variance---Apple367.900000Orange52.666667Banana134.266667Pear211.866667dtype:float64---Standard Deviation---Apple19.180719Orange7.257180Banana11.587349Pear14.555640dtype:float64 84计算 DataFrame 列之间的协方差 importpandasaspd df=pd.DataFrame([[10,20,30,40...
df_described_T['standard deviation']=data_table.std() print(df_described_T) ''' get the sepecified colums :(use a list contains column names) ''' df_described_5=df_described_T[['null','max','min','mean','std']] # print(df_described_T) ...