jameskyle

pd.DataFrame({'a': [10]*3, 'b': [4]*3, 'c': [0.01]*3, 'd': [123, 456, 789], 'e': [789, 123, 456], 'f': [456, 789, 123]})
    a  b     c    d    e    f
0  10  4  0.01  123  789  456
1  10  4  0.01  456  123  789
2  10  4  0.01  789  456  123

Desired outcome

             d    e    f
a  b c                  

jameskyle

 jkyle@jkyle-laptop  ~/g/s/c/d/blacksmith_client  git st
 m go-build
 jkyle@jkyle-laptop  ~/g/s/c/d/blacksmith_client  git submodule sync && git submodule update
Synchronizing submodule url for 'go-build'
 jkyle@jkyle-laptop  ~/g/s/c/d/blacksmith_client  git st
 m go-build
 jkyle@jkyle-laptop  ~/g/s/c/d/blacksmith_client  cd go-build
 jkyle@jkyle-laptop  ~/g/s/c/d/b/go-build  git diff | head -n15
diff --git a/.go/src/gb2/src b/.go/src/gb2/src
--- a/.go/src/gb2/src

jameskyle

sbt update
[info] Loading settings from plugins.sbt ...
[info] Loading project definition from /home/james/Desktop/testingProject/project
[info] Loading settings from build.sbt ...
[info] Set current project to testingProject (in build file:/home/james/Desktop/testingProject/)
[info] Updating {file:/home/james/Desktop/testingProject/}testingproject...
[info] Done updating.
[warn] Found version conflict(s) in library dependencies; some are suspected to be binary incompatible:
[warn]  * io.netty:netty:3.9.9.Final is selected over {3.6.2.Final, 3.7.0.Final}
[warn]      +- org.apache.spark:spark-core_2.11:2.2.0             (depends on 3.7.0.Final)

jameskyle

jameskyle

file { '/etc/uber/redis_ports.d':
    # see also celery_port_queues.d
    ensure  => 'directory',
    owner   => 'root',
    group   => 'root',
    mode    => '0444',
    source  => 'puppet:///modules/redis/empty/',
    recurse => true,
    ignore  => '.empty',
    purge   => true,

jameskyle

from __future__ import division
import matplotlib
matplotlib.use('Agg')

import time
import sys
import math
import glob
import os
import cv2

jameskyle

from __future__ import print_function, division

import datetime as dt

import pandas as pd
import numpy as np
import scipy.optimize as sopt

def gradebook():
    columns = ("Assignment", "Due", "Grade", "Weight")

jameskyle

import requests
import time

import gevent
from gevent.queue import JoinableQueue

class Consumer(object):
    def __init__(self):
        self.queue = JoinableQueue()
        self.producers = [Producer(self.queue) for _ in range(10)]

jameskyle

import numpy as np

a = np.ones(shape=(1e9,), dtype=int)
print(a.shape)

jameskyle

import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import seaborn

import os
import re
import util
import pandas as pd
import numpy as np