analytics-python | The hassle-free way to integrate analytics into any python application | Analytics library

def generate():
    global winningRows
    filename = enterFile()

    noOfWinners = 5
    winningNumbers = []
    nonWinningRows = []           
    winnerEmails = []                #change 1
    while len(winningNumbers) < noOfWinners

df_1 = pd.DataFrame()
df_2 = pd.DataFrame()
df_3 = pd.DataFrame()

df = pd.concat([df_1, df_2, df_3],ignore_index=True)
print (df)
Empty DataFrame
Columns: []
Index: []

df_1 = pd.DataFrame()
df_2 = pd.DataFrame({'a

strings = ['Machine_start', 'Machine_stop', 'power_volt5v', 'Mains_off', 'Mains_on', 'Machine_start', 'power_volt5v', 'Mains_off', 'Mains_on']
i = 0
cur_len = len(strings)
while i < cur_len:
    if strings[i] == 'Machine_start' and (i =

from itertools import groupby

data = [['e', 1], ['e', 2], ['b', 3], ['c', 4],
        ['e', 5], ['e', 6], ['e', 7], ['b', 8]]

ret = []
for key, item in groupby(data, lambda x: x[0] == 'e'):
    if key:
        ret.append(next(item))
    

last_seen_is_e = False
updated = []
for item in data:
    if not last_seen_is_e or item[0] != "e":
        updated.append(item)
    if item[0] == "e":
        last_seen_is_e = True
    else:
        last_seen_is_e = False

[['e', 1], ['b',

import glob
import os
import shutil
from collections import defaultdict


folder_path = os.path.expanduser("~/Desktop/OD")

# Gather files into groups
groups = defaultdict(set)

for filename in glob.glob(os.path.join(folder_path, "*.txt"))

>>> df['Count'] = df.Slope.lt(0)
>>> df.head(7)
    Slope  Count
0   -25.0   True
1   -15.0   True
2    17.0  False
3     6.0  False
4     0.1  False
5     5.0  False
6    -3.0   True

>>>

import subprocess

link = 'https://cs9-9v4.vkuseraudio.net/s/v1/ac/NeMmHNX2Iyt08MZ4z5fELAMybgSNR6T1xYEcBEv5Kdsenci3KHOAC-1fKapAV9vxwVOBIik40I4DwfrN-a_jtjILYVcx3mLTNCzKo1UF-UhbKOztLrboF9NEn1jzZs1Jl0ijfmccog6aAcB4PcdnrxPzXY7WCMVWtUjWKOgHad5a