cavedave

cavedave

import requests
import pandas as pd

def download_data(url, filename):
    """Downloads data from a given URL and saves it as a CSV file.

    Args:
        url: The URL of the data to download.
        filename: The name of the CSV file to save the data to.

cavedave

cavedave

cavedave

abk, ?, grey
ara, day blind, lightyellow
aze, night bird, orange
bel, leather one, turquoise
bos, blind mouse, lightgreen
bre, blind mouse, lightblue
bul, sticking one, blue
cat, winged rat, yellow
cau, ?, grey
ces, night flyer, lightgreen

cavedave

import matplotlib.pyplot as plt
unique = []
check = []
k = 50 #These need to be estimated for particular languages but this is a base estimate
b=0.4 #

for x in range(1, 100000, 100):
  unique.append(k*(x**b))
  check.append(x)

cavedave

import pdfplumber

def is_bold_font(char):
    return "bold" in char['fontname'].lower()

def parse_pdf_to_dictionary(pdf_path):
    term_definition_dict = {}
    term = ""
    next_term = ""
    definition = ""

cavedave

cavedave

objects <-c('Truman','Eisenhower','Kennedy','Johnson','Nixon','Ford','Carter','Reagan','Bush','Clinton','G. W. Bush','Obama','Trump','Biden')
#'FDR', 0.796,

performance <- c(0.319,0.165,0.206,0.172,0.170,0.188,0.219,0.130,0.113,0.105,0.099,0.094,0.15,0.165)
color<-c('#0015BC', '#E9141D', '#0015BC', '#0015BC', '#E9141D', '#E9141D', '#0015BC', '#E9141D', '#E9141D', '#0015BC', '#E9141D', '#0015BC','#E9141D','#0015BC')

df<- data.frame(objects, performance, color)

#lock in order

cavedave

library(dplyr)
library(lubridate)
library(tidyverse)

gridwatch <-
  read_csv(
    file = "gridwatch.csv")
    

#get date int data format