tdhopper

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

tdhopper

import pandas as pd
trans = pd.read_csv("2014-04-02-exported_transactions.csv", parse_dates=[0])
trans = trans[trans.Pending == False]
trans = trans[["Date","Amount","Description","Memo"]]
trans = trans.copy(deep=True)
trans["Inflow"] = trans.Amount.map(lambda x: x if x > 0 else 0)
trans["Outflow"] = trans.Amount.map(lambda x: -x if x <= 0 else 0)
del trans["Amount"]
trans["Payee"] = trans["Description"]
del trans["Description"]

tdhopper

import pandas as pd
trans = pd.read_csv("2014-05-06-exported_transactions.csv", parse_dates=[0])
trans = trans[trans.Pending == False]
trans = trans[["Date","Amount","Description","Memo"]]
trans = trans.copy(deep=True)
trans["Inflow"] = trans.Amount.map(lambda x: x if x > 0 else 0)
trans["Outflow"] = trans.Amount.map(lambda x: -x if x <= 0 else 0)
del trans["Amount"]
trans["Payee"] = trans["Description"]
del trans["Description"]

tdhopper

tdhopper

from warnings import warn
from collections import Counter

from streamparse.bolt import Bolt

class WordCounter(Bolt):

    def initialize(self, conf, ctx):
        self.counts = Counter()

tdhopper

Cornelius Lanczosm, H. Eves Mathematical Circles Squared

Most of the arts, as painting, sculpture, and music, have emotional appeal to the general public. This is because these arts can be experienced by some one or more of our senses. Such is not true of the art of mathematics; this art can be appreciated only by mathematicians, and to become a mathematician requires a long period of intensive training. The community of mathematicians is similar to an imaginary community of musical composers whose only satisfaction is obtained by the interchange among themselves of the musical scores they compose.

tdhopper

tdhopper@~/repos/parsely/ptrack/streamparse (streamparse-dev) [feature/visitor-metrics] $ streamparse stats -e 0.9 -n index
# Topology summary
+-------+----------------------+--------+------------+--------------+----------------+------------+
|  name |          id          | status |   uptime   | workersTotal | executorsTotal | tasksTotal |
+-------+----------------------+--------+------------+--------------+----------------+------------+
| index | index-367-1407431678 | ACTIVE | 2h 30m 12s |      8       |       85       |     85     |
+-------+----------------------+--------+------------+--------------+----------------+------------+
# Spouts (All time)
+-----------------------+---------+-------------+-----------------+--------+--------+
|        spoutId        | emitted | transferred | completeLatency | acked  | failed |

tdhopper

[
  {
    "_score": 1.0,
    "_type": "url",
    "_id": "epicurious.com-http://www.epicurious.com/recipes/food/views/Balsamic-Strawberries-with-Whipped-Mascarpone-Cheese-105321-1hour-2014.08.06.18",
    "_source": {
      "metrics": {
        "other/returning/entrance_view": 1,
        "other/$all/page_view": 2,
        "$any/returning/entrance_view": 1,

tdhopper

path.conf: "/Users/tdhopper/es-config"
path.logs: "/Users/tdhopper/es-logs"

index.indexing.slowlog.threshold.index.warn: 10s
index.indexing.slowlog.threshold.index.info: 0s
index.indexing.slowlog.threshold.index.debug: 0s
index.indexing.slowlog.threshold.index.trace: 0s

tdhopper

INPUT_PATH <- "~/Dropbox/Text Notes/Weight.txt"
OUTPUT_PATH <- "~/Dropbox/Text Notes/Weight Stats.txt"

library(lubridate)
library(ggplot2)
library(zoo)

# READ FILE
con <- file(INPUT_PATH, "rt")
lines <- readLines(con)