stefan789

import matplotlib.pyplot as plt
import matplotlib.animation as animation
import time
import sys

fig = plt.figure()
ax1 = fig.add_subplot(1,1,1)
ax1.ticklabel_format(style="plain")

fil = sys.argv[1]

stefan789

import numpy as np
import json
import cloudant
import datetime as dt
import pytz
berlin = pytz.timezone("Europe/Berlin")

# set up db and define functions

#acct = cloudant.Account(uri="http://10.155.59.88:5984")

stefan789

import numpy as np

def allanVar(data, sf=1):
    '''
    calculates allan variance
    according to eq 8.13a in
    David W. Allan, John H. Shoaf and Donald Halford: Statistics of Time and Frequency Data Analysis,
    NBS Monograph 140, pages 151–204, 1974
    '''

stefan789

import json
import cloudant
import datetime as dt

# set up db and define functions

#acct = cloudant.Account(uri="http://10.155.59.88:5984")
acct = cloudant.Account(uri="http://raid.nedm1:5984")
res = acct.login("nedm_user", "")
assert res.status_code == 200

stefan789

import numpy as np

def allanVar(data, sf=1):
    '''
    calculates allan variance
    according to eq 8.13a in
    David W. Allan, John H. Shoaf and Donald Halford: Statistics of Time and Frequency Data Analysis,
    NBS Monograph 140, pages 151–204, 1974
    '''
    leng = len(data)

stefan789

fig, ax = plt.subplots()
fig.set_size_inches(8,6)
fmt = mdates.DateFormatter("%H:%M", tz=berlin)
ax.xaxis.set_major_formatter(fmt)
ax.plot_date([i.astimezone(berlin) for i in data["Date"]], data["Bz1"], "-", label="y1")

fig.autofmt_xdate()
#ax.set_xlim([dt.datetime(2015,8,7,17,0,0), dt.datetime(2015,8,7,19,0,0)])
#ax.set_ylim([-30,40])
plt.legend(loc='center right',

stefan789

import numpy as np
import json
import cloudant
import datetime as dt
import pytz
berlin = pytz.timezone("Europe/Berlin")

# set up db and define functions

#acct = cloudant.Account(uri="http://10.155.59.88:5984")

stefan789

import ROOT
import numpy as np
import re
import argparse

ROOT.gSystem.Load("/home/stefan/Programs/TWaveform/lib/libWaveWaveBase.so")

p = argparse.ArgumentParser()
p.add_argument('filena') 
p.add_argument('samplerate', type=float, help="sample rate")

stefan789

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import AxesGrid

import argparse

parser = argparse.ArgumentParser()
parser.add_argument("comp", help = "b field component to be plotted, Bx, By, Bz or normB")
args = parser.parse_args()

stefan789

import cloudant
import json
import codecs

# Authentication
acct = cloudant.Account(uri="http://raid.nedm1:5984")
res = acct.login("username", "password")
assert res.status_code == 200

# Grab the correct database