PureMath86

    """
    Generate PDF reports from data included in several Pandas DataFrames
    From pbpython.com
    """
    from __future__ import print_function
    import pandas as pd
    import numpy as np
    import argparse
    from jinja2 import Environment, FileSystemLoader
    from weasyprint import HTML

PureMath86

# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()

# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])

# Convert Series datatype to numeric, changing non-numeric values to NaN
# h/t @makmanalp for the updated syntax!

PureMath86

API workthough

1. Open a browser

   # start an instance of firefox with selenium-webdriver
   driver = Selenium::WebDriver.for :firefox
   # :chrome -> chrome
   # :ie     -> iexplore
   

• Go to a specified URL

PureMath86

This configuration worked for me, hope it helps

It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b

and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support

Hardware

PureMath86

#Refer http://craiget.com/extracting-table-data-from-pdfs-with-ocr/
import Image, ImageOps
import subprocess, sys, os, glob

# minimum run of adjacent pixels to call something a line
H_THRESH = 300
V_THRESH = 300

def get_hlines(pix, w, h):
    """Get start/end pixels of lines containing horizontal runs of at least THRESH black pix"""