This gist contains some commonly used stuff which is easy to forget
Create a database in MySQL prompt
mysql> create database new
In the terminal, use the following command
import time | |
print time.time() |
print "OS:",platform.platform() | |
import sys | |
print "System version:",sys.version | |
import numpy as np | |
print "Numpy version:",np.version.version | |
import matplotlib | |
print "Matplotlib version:",matplotlib.__version__ | |
import pandas as pd | |
print "Pandas version:",pd.__version__ | |
import sklearn as sklearn |
import requests | |
from sklearn.cluster import KMeans | |
#payload="select data in (now -5minutes, now) where Metadata/Extra/FlatNumber ='202' and Metadata/Extra/PhysicalParameter='PowerPhase1' and Metadata/Extra/Type='Power'" | |
#payload="select data in ('8/2/2013', '8/12/2013') where Metadata/Extra/FlatNumber ='902' and Metadata/Extra/PhysicalParameter='PowerPhase1' and Metadata/Extra/Type='Power'" | |
#r = requests.post("http://192.168.1.40:9101/api/query", data=payload) | |
r=requests.get("http://192.168.1.40:9102/backend/api/data/uuid/cb21f2ac-5cc4-5eb1-9b06-8e4f1dd1f7fa?starttime=1375425240000&endtime=1376289240000") | |
import numpy as np | |
import matplotlib.pyplot as plt |
import pandas as pd | |
import glob | |
import time | |
#Get all the CSVs in that folder | |
list_csv=glob.glob("*.csv") | |
#Column headers | |
names=['CircuitName', 'CircuitNumber', 'TimestampUTC', 'RealPowerWatts', 'ApparentPowerVAs'] | |
channel_mapping={} |
This Gist contains a collection of some useful Unix commands | |
Removing inplace the top of the file |