我使用skillmetrics包编写了一个简单的代码来形成泰勒数字.我使用python版本Python 2.7.12.代码如下: -
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import skill_metrics as sm
fire=pd.read_csv('fire.csv')
PMfire = zip(fire['Date'],fire['PM_fire'],fire['Embassy_PM'])
#taylor_stats1 = sm.taylor_statistics('PM_fire','Embassy_PM','Date')
o= {"Data":fire['Embassy_PM'],'Date':fire['Date']}# form date and and embassy datas
p= {"Data":fire['PM_fire'],'Date':fire['Date']}# form dictionary containg pm_fire and date
# Calculate statistics for Taylor diagram
# The first array element corresponds to the reference series
# for the while the second is that for the predicted series.
taylor_stats1 = sm.taylor_statistics(p,o,'Data')
sdev = np.array([taylor_stats1['sdev'][0]])# Calculate standard deviation
crmsd …我有一个数字序列，例如[0,0,0,0,1,1,1,0,0,1,1,0]。我想根据最近的非零值来计算数字总和。即，一旦出现零输入，则总和将重置为零。
input: [0,0,0,0,1,1,1,0,0,1,1,0]
output:[0,0,0,0,1,2,3,0,0,1,2,0]
是否有内置的python函数能够实现这一目标？还是更好的无循环计算方式？