perone

# df_delay = Pandas dataframe with data

ax = df_delay.plot.scatter(
    title='Symptom Onset vs Confirmation - COVID19 / Rio Grande do Sul / Brazil',
    x='DATA_CONFIRMACAO',
    y='DATA_SINTOMAS',
    alpha=.4,
    lw=0,
    s=8,
    c="Delay (days)",

perone

perone

>>> import pprint
>>> fh = open("alunos.txt")
>>> d = { v.split()[0]:v.split()[1:] for v in fh.readlines() }
>>> fh.close()
>>> pprint.pprint(d)
{'Beltrano': ['5.6', '7.8', '9.4', '5.3'],
 'Fulano': ['8.3', '7.6', '9.5', '6.4'],
 'Sicrano': ['5.6', '8.9', '7.4', '7.5']}

perone

>>> frame = ps.read_table('alunos.txt', header=None, sep="\s*", index_col=0)
>>> frame.ix["Fulano"]
X1    8.3
X2    7.6
X3    9.5
X4    6.4
Name: Fulano
>>> frame.ix["Sicrano"]
X1    5.6
X2    8.9

perone

import timeit

t = timeit.Timer("v=sorted(d.items(), key=lambda x: x[1])[-1]",
	"d = {'a': 1000, 'b': 3000, 'c':100}")
print t.timeit()
# 1.648s

t = timeit.Timer("v=max(d.iteritems(), key = operator.itemgetter(1))[0]",
	"import operator; d = {'a': 1000, 'b': 3000, 'c':100}")
print t.timeit()

perone

"" https://github.com/spf13/spf13-vim
colorscheme molokai
set tags=tags;/
nmap <F8> :TagbarToggle<CR>
""map <C-o> <C-T>
map <C-o> <C-]>
set mouse=
set nonumber

perone

$~ sudo scapy

>>> from datetime import datetime
>>> pkt = IP(dst="www.google.com", ttl=1) / ICMP()
>>> ans,unans = sr(pkt*3)
Begin emission:
.**Finished to send 3 packets.
*
Received 4 packets, got 3 answers, remaining 0 packets
>>> sent = datetime.fromtimestamp(ans[0][0].sent_time)

perone

import tweepy
import codecs

BRAZIL_WOEID = 23424768
twapi = tweepy.API()
ret = twapi.trends_location(woeid=BRAZIL_WOEID)

fhandle = codecs.open("file.txt", "w", encoding="utf-8")

for trend in ret[0]['trends']:

perone

import ConfigParser

class AttrDict(dict): 
    def __getattr__(self, key):
        d = AttrDict()
        for k in self.keys():
            if k.startswith(key):
                dcoup = k[len(key)+1:]
                if not dcoup:
                    return self[k]

perone

from dateutil.relativedelta import relativedelta
from datetime import datetime

now = datetime.now()
now_plus_one_month = now + relativedelta(months=1)