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python - 在使用 python 将值写入 csv 文件之前将值与字段名进行比较

转载 作者:太空宇宙 更新时间:2023-11-03 14:29:22 25 4
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我使用此代码将值与其附属字段名称进行比较,然后将其存储在 csv 文件中以检查正确的列,因为每次重新启动计算机时,字典中传感器的顺序都会自动更改。这就是为什么我必须先控制 dict 中值的位置,然后再将其存储在 csv 文件中,否则我会得到一个困惑的 csv 文件,如下例所示,其中提供的值温度为 1000 [°C],光度为 10 [lux]

import csv
from datetime import datetime
import os
import time
from collections import OrderedDict
from time import sleep


Datum = time.strftime("%Y-%m-%d")
Time = datetime.now().replace(microsecond=0).isoformat()

data = {'Stecker Energy': '2.37', 'Stromzaehler Strom L1 [A]': '0.0', '1OG Ultraviolet': '0.0','Stecker EG Energie [kWh]': '4.3'}

filename = Datum + 'SOF.csv'
if not os.path.isfile(filename):
outfile = open(filename, "w")
lineKey = ""
for x in data.keys():
lineKey+= x + ","
lineKey = 'Time '+ "," + lineKey[:-1]+"\n" # Delete last character and add new line
outfile = open(filename, "a")
outfile.write(lineKey)
outfile.close()

#check first line of fieldnames
with open(filename,'r') as myFile:
reader = csv.DictReader(myFile)
fieldnames = reader.fieldnames
myFile.close()
#Compare the values with their keys (fieldnames)
with open(filename,'a') as outfile:
lineValue = ""
for sensor, value in data.items():
if sensor in data.items()==sensor in fieldnames:
v = data[sensor]
print("v", v)
lineValue+= str(v) + ","
lineValue = Time + "," + lineValue[:-1] + "\n"
print(lineValue)
outfile.write(lineValue)
outfile.close()

问题是当我检查 CSV 文件时,我发现值写在错误的列中,这意味着Examlpe 的字段名称错误:

CSV 文件中此问题的示例

Example of this problem in csv file

CSV 文本示例

时间,Stromzaehler Strom L1 [A],Stecker Energy,1OG 紫外线,Stecker EG Energie [kWh]2017-11-21T17:56:10,2.37,0.0,0.0,4.32017-11-21T17:56:26,4.3,0.0,0.0,2.372017-11-21T17:56:28,0,0.0,2.37,4.32017-11-21T17:56:30,0,2.37,0.0,4.3

data = {'Stecker Energy': '', 'Stromzaehler Strom L1 [A]': '', '1OG Ultraviolet': '','Stecker EG  Energie [kWh]': ''}

最佳答案

for sensor, value  in data.items():
if sensor in data.items()==sensor in fieldnames:
v = data[sensor]
print("v", v)
lineValue+= str(v) + ","

这对我来说看起来不对。如果您只想迭代所有字段名称(“时间”除外)并添加 data 中的值对应于这些字段,同时还为 data 中不存在的值设置“n/a” ,那么我建议这样做:

with open(filename,'a') as outfile:
lineValue = ""
for fieldname in fieldnames[1:]: #skip the first one, since that's Time, which we have a custom value for already.
v = data.get(fieldname, "n/a")
lineValue += str(v) + ","
lineValue = Time + "," + lineValue[:-1] + "\n"
print(lineValue)
outfile.write(lineValue)
outfile.close()
<小时/>

额外建议:手动在值之间添加逗号是一种容易出错的方法。如果可能,请使用DictWriter ,它可以为您解决大多数格式问题。

with open(filename,'a') as outfile:
writer = csv.DictWriter(outfile, fieldnames)
row = {}
for fieldname in fieldnames: #no need to skip Time here, we'll just overwrite it later.
row[fieldname] = data.get(fieldname, "n/a")
row["Time "] = Time
writer.writerow(row)

如果您坚持不这样做,至少将值存储在列表中,您join最后一次:

with open(filename,'a') as outfile:
values = [Time]
for fieldname in fieldnames[1:]:
v = data.get(fieldname, "n/a")
values.append(str(v))
outfile.write(",".join(values) + "\n")
<小时/>

额外奖励建议:如果这些解决方案在您不想要的行之间添加额外的空行,则可以使用 newline="" 打开文件参数(如果使用 Python 3):

with open(filename,'a', newline="") as outfile:

...或者以二进制模式打开文件(如果使用 Python 2):

with open(filename,'ab') as outfile:

关于python - 在使用 python 将值写入 csv 文件之前将值与字段名进行比较,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/47412324/

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