Hi There
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name | value | |
---|---|---|
Locke | 4 | |
Reyes | 8 | |
Ford | 15 | |
Jarrah | 16 | |
Shephard | 23 | |
Kwon | 42 |
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users = {} | |
for i in range(len(df)): | |
user_id = df.iloc[i].user_id | |
if user_id not in users: | |
users[user_id] = 1 | |
else: | |
users[user_id] += 1 | |
num_recipes_range = (100,500) |
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import pytesseract | |
import os | |
import sys | |
def read_image(img_path, lang='eng'): | |
""" | |
Performs OCR on a single image | |
:img_path: str, path to the image file |
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pclass | survived | name | sex | age | sibsp | parch | ticket | fare | cabin | embarked | boat | body | home.dest | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | Allen, Miss. Elisabeth Walton | female | 29 | 0 | 0 | 24160 | 211.3375 | B5 | S | 2 | St Louis, MO | ||
1 | 1 | Allison, Master. Hudson Trevor | male | 0.9167 | 1 | 2 | 113781 | 151.5500 | C22 C26 | S | 11 | Montreal, PQ / Chesterville, ON | ||
1 | 0 | Allison, Miss. Helen Loraine | female | 2 | 1 | 2 | 113781 | 151.5500 | C22 C26 | S | Montreal, PQ / Chesterville, ON | |||
1 | 0 | Allison, Mr. Hudson Joshua Creighton | male | 30 | 1 | 2 | 113781 | 151.5500 | C22 C26 | S | 135 | Montreal, PQ / Chesterville, ON | ||
1 | 0 | Allison, Mrs. Hudson J C (Bessie Waldo Daniels) | female | 25 | 1 | 2 | 113781 | 151.5500 | C22 C26 | S | Montreal, PQ / Chesterville, ON | |||
1 | 1 | Anderson, Mr. Harry | male | 48 | 0 | 0 | 19952 | 26.5500 | E12 | S | 3 | New York, NY | ||
1 | 1 | Andrews, Miss. Kornelia Theodosia | female | 63 | 1 | 0 | 13502 | 77.9583 | D7 | S | 10 | Hudson, NY | ||
1 | 0 | Andrews, Mr. Thomas Jr | male | 39 | 0 | 0 | 112050 | 0.0000 | A36 | S | Belfast, NI | |||
1 | 1 | Appleton, Mrs. Edward Dale (Charlotte Lamson) | female | 53 | 2 | 0 | 11769 | 51.4792 | C101 | S | D | Bayside, Queens, NY |
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''' | |
Note: Using Python 2 may result in unicode errors | |
''' | |
import sys | |
import requests | |
from bs4 import BeautifulSoup as bs | |
url = "https://www.dictionary.com/browse/" |
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import cPickle as c | |
import os | |
from sklearn import * | |
from collections import Counter | |
def load(clf_file): | |
with open(clf_file) as fp: | |
clf = c.load(fp) | |
return clf |
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from __future__ import division # only for Python 2 | |
from sklearn import datasets | |
from sklearn import svm | |
from sklearn import tree | |
from sklearn.ensemble import RandomForestClassifier | |
from sklearn.model_selection import train_test_split as tts | |
from sklearn.metrics import accuracy_score | |
wine = datasets.load_wine() |