[英]Python Google Sheets API
所以我有这个谷歌表 API,我正在从中获取数据并运行 KS 测试。 但是,我只想对一个数字运行 KS 测试。 但是,字符串也由单词组成。 例如,给你
2020-09-15 00:05:13,chemsense,co,concentration,-0.51058,
2020-09-15 00:05:43,chemsense,co,concentration,-0.75889,
2020-09-15 00:06:09,chemsense,co,concentration,-1.23385,
2020-09-15 00:06:33,chemsense,co,concentration,-1.23191,
2020-09-15 00:06:58,chemsense,co,concentration,-0.94495,
2020-09-15 00:07:23,chemsense,co,concentration,-1.16024,
如果我将此作为字符串,我将如何仅对每行的最后一个数字运行 KS 测试。 对于instsnace,我只想在-.51、-.75、-1.23、-1.23、-.94、-1.16上运行KS测试
这是我的一些代码:
from scipy import stats
import numpy as np
import gspread
from oauth2client.service_account import ServiceAccountCredentials
import re
np.seterr(divide='ignore', invalid='ignore')
def estimate_cdf (col,bins=10,):
print (col)
# 'col'
# 'bins'
hist, edges = np.histogram(col)
csum = np.cumsum(hist)
return csum/csum[-1], edges
print (csum)
scope = ["https://spreadsheets.google.com/feeds",'https://www.googleapis.com/auth/spreadsheets',"https://www.googleapis.com/auth/drive.file","https://www.googleapis.com/auth/drive"]
creds = ServiceAccountCredentials.from_json_keyfile_name("creds.json", scope)
client = gspread.authorize(creds)
sheet = client.open("sheet1").sheet1 # Opens the spreadhseet
data = sheet.get_all_records()
row = sheet.row_values(3) # Grab a specific row
number_regex = r'^-?\d+\.?\d*$'
col = sheet.col_values(3) # Get a specific column print (col)
col2= sheet.col_values(4)
dolphin= estimate_cdf(adjusted := [float(i) for i in col if re.match(i, number_regex)], len(adjusted))
print(col)
print(col2)
shtest =stats.shapiro(col)
print(shtest)
#thelight= sheet.update_cell(5,6,col)
#print(thelight)
k2test =stats.ks_2samp(col, col2, alternative='two-sided', mode='auto')
print(k2test)
这是我的一些错误信息:
温度,64.7959999999999,65.03830769230765', '2020-09-25 11:38:51,metsense,htu21d,温度,64.85,65.013384615,133846153842502,1,9-40,1,6-16-16-16-10-2020-25 64.99538461538458', '2020-09-25 11:39:42,metsense,htu21d,温度,65.066,64.98015384615381', '2020-09-25,4,999t, 106:99.16,994.99t.161,994.99t.161,994.99.94 2020-09-25 11:40:31,metsense,htu21d,温度,64.976,64.93861538461535', '2020-09-25 11:40:57,metsense,htu21d,温度,6706-308.676-308.608.6069. 25 11:41:22,metsense,htu21d,温度,65.048,64.93584615384611','2020-09-25 11:41:48,metsense,htu21d,温度,64.994,64307-53846205'1846205' :12,metsense,htu21d,温度,64.976,64.93169230769227', '2020-09-25 11:42:37,metsense,htu21d,温度,64.94,64.9441538409230769227', 2020-09-25 ,htu21d,temperature,64.994,64.95523076923072', '2020-09-25 11:43:28,metsense,htu21d,temperature,64.9'] 回溯(最近一次调用):文件“C:/用户/詹姆斯/ mProjectsfreshproj/shapiro wilks.py”,第 60 行,在 shtest =stats.shapiro(col) 文件“C:\\Users\\james\\PycharmProjectsfreshproj\\venv\\lib\\site-packages\\scipy\\stats\\morestats.py”,第 1676 行, 在 shapiro a, w, pw, ifault = statlib.swilk(y, a[:N//2], init) ValueError: could not convert string to float: ',,,,,'
进程以退出代码 1 结束
给定来自 Google Sheets API 的字符串,对每个字符串的最后一个数字运行 kstest。
更好的方法是直接从 Google Sheets API 获取数字,将它们存储并提供给stats.kstest
。
您可以使用str.split拆分字符串,然后将其转换为浮动。
>>> s = '2020-09-15 00:05:43,chemsense,co,concentration,-0.75889,'
>>> s.split(',')
['2020-09-15 00:05:43', 'chemsense', 'co', 'concentration', '-0.75889', '']
>>> s.split(',')[4] # get the number (5th item in the list)
'-0.75889'
>>> float(s.split(',')[4]) # convert to float type
-0.75889
>>> round(float(s.split(',')[4]), 2) # round to 2 decimal place
-0.76
from scipy import stats
# Assuming strings coming back from API are in a list
str = [
'2020-09-15 00:05:13,chemsense,co,concentration,-0.51058,',
'2020-09-15 00:05:43,chemsense,co,concentration,-0.75889,',
'2020-09-15 00:06:09,chemsense,co,concentration,-1.23385,',
'2020-09-15 00:06:33,chemsense,co,concentration,-1.23191,',
'2020-09-15 00:06:58,chemsense,co,concentration,-0.94495,',
'2020-09-15 00:07:23,chemsense,co,concentration,-1.16024,'
]
x = []
for s in str:
x.append(float(s.split(',')[4]))
stats.kstest(x, 'norm')
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