Aaron Gorman aarong1

## all_na_in_each_factor.py
import pandas

projects_df.set_index('id').isna().groupby(level=0).sum()['ServiceAccount'].sum()

## strings.py
pd_df['column'].str.lower().str.strip()

## airflow_install.sh
#https://airflow.apache.org/docs/apache-airflow/stable/installation/installing-from-pypi.html

python -m venv .venv
source .venv/bin/activate

# AIRFLOW_VERSION=2.6.3
export AIRFLOW_HOME=~/airflow

sudo pip3 install "apache-airflow[celery]==2.6.3" --constraint "https://raw.githubusercontent.com/apache/airflow/constraints-2.6.3/constraints-3.10.txt"

## read_file.py
def read_file(filename):
    with open(filename, 'r') as f:
        content = f.read()
        f.close()
        return content


## common_cool_bash_commands.sh
echo "Logfile started: $(date +'%D %T'$" > log.txt

## logging.py
import logging
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")

logging.info(f'This is a logging message with an {fstring}')


## load_yaml.py
import yaml

yaml.load(open(<path_to_yaml_config>, 'r'), Loader=yaml.SafeLoader)

# convert json to yaml and back again.
import json

with open('config.json', 'r') as file:
    configuration = json.load(file)

## README.md

      
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                aarong1
                / README.md
            
            
              Created
              February 7, 2022 19:27
                — forked from lopspower/README.md
            
              
                Hexadecimal color code for transparency
              
          
    Hexadecimal color code for transparency


How to set transparency with hex value ?

For example, you want to set 40% alpha transparence to #000000 (black color), you need to add 66 like this #66000000.
Download This sample on Google Play Store


## plotlyR_example.R
library(plotly)

fig <- plot_ly(
   type = 'scatter',
   mode='markers',
   y=rep(5, 40),
   marker=list(
      size=seq(0, 39),
      color=seq(0, 39),
      colorbar=list(

## web_scrape.py
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 15 16:36:30 2021

@author: dsuser
"""

import os
print(os.getcwd())
os.chdir("C:/Users/Public/Desktop/TraceData/hscni-analytics-data/R/risk_assess")
	import pandas

	projects_df.set_index('id').isna().groupby(level=0).sum()['ServiceAccount'].sum()
	#https://airflow.apache.org/docs/apache-airflow/stable/installation/installing-from-pypi.html

	python -m venv .venv
	source .venv/bin/activate

	# AIRFLOW_VERSION=2.6.3
	export AIRFLOW_HOME=~/airflow

	sudo pip3 install "apache-airflow[celery]==2.6.3" --constraint "https://raw.githubusercontent.com/apache/airflow/constraints-2.6.3/constraints-3.10.txt"
	def read_file(filename):
	with open(filename, 'r') as f:
	content = f.read()
	f.close()
	return content
	import logging
	logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")

	logging.info(f'This is a logging message with an {fstring}')
	import yaml

	yaml.load(open(<path_to_yaml_config>, 'r'), Loader=yaml.SafeLoader)

	# convert json to yaml and back again.
	import json

	with open('config.json', 'r') as file:
	configuration = json.load(file)
	library(plotly)

	fig <- plot_ly(
	type = 'scatter',
	mode='markers',
	y=rep(5, 40),
	marker=list(
	size=seq(0, 39),
	color=seq(0, 39),
	colorbar=list(
	# -- coding: utf-8 --
	"""
	Created on Mon Mar 15 16:36:30 2021

	@author: dsuser
	"""

	import os
	print(os.getcwd())
	os.chdir("C:/Users/Public/Desktop/TraceData/hscni-analytics-data/R/risk_assess")