import pandas as pd
input1 = input("File name (including path) 1: ")
csv_input = pd.read_csv(input1)
df = pd.DataFrame(csv_input)
input2 = input("File name (including path) 2: ")
csv_input2 = pd.read_csv(input2)
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// Generated by CoffeeScript 1.12.7 | |
(function() { | |
var ABORT, ALIVE_WAIT, Auth, CLIENT_GET_CONVERSATION_RESPONSE, CLIENT_GET_ENTITY_BY_ID_RESPONSE, CLIENT_SYNC_ALL_NEW_EVENTS_RESPONSE, Channel, ChatReq, Client, ClientDeliveryMediumType, ClientNotificationLevel, CookieJar, DEFAULTS, EventEmitter, FileCookieStore, FocusStatus, IMAGE_UPLOAD_URL, Init, MessageActionType, MessageBuilder, MessageParser, None, OffTheRecordStatus, Q, TypingStatus, aliases, datetolong, fmterr, fs, log, plug, randomid, ref, ref1, rm, syspath, togoogtime, touch, wait, | |
bind = function(fn, me){ return function(){ return fn.apply(me, arguments); }; }, | |
extend = function(child, parent) { for (var key in parent) { if (hasProp.call(parent, key)) child[key] = parent[key]; } function ctor() { this.constructor = child; } ctor.prototype = parent.prototype; child.prototype = new ctor(); child.__super__ = parent.prototype; return child; }, | |
hasProp = {}.hasOwnProperty; | |
require('fnuc').expose(global); | |
FileCookieStore = require('toug |
First, visit any repository on GitHub and click your way through to the issues page.
Create a new issue by clicking the button New Issue. You'll now see both a title and a description field. Drag-and-drop an image on to the description field. This will start the uploading process.
In our example below we're uploading an image of Marty McFly.
![Uploading marty-mcfly.jpg...]()
I hereby claim:
- I am ztoben on github.
- I am ztoben (https://keybase.io/ztoben) on keybase.
- I have a public key ASB8sF3qhKZqePeegeoHVwBTHSccXoaiwClRkF9EmVkTLgo
To claim this, I am signing this object: