Travis Niederhauser travis23

## ranges_in_between_ranges.py
def get_ranges_in_between_ranges(df, start_name, stop_name):
    """
    Get range boundaries in between range boundaries arranged to be strictly increasing.
    For example if we had three range boundaries where the range start and stop values
    are found in two separate columns in a dataframe,

    start, stop
    -----------
     0,     5
     7,     8

## logging.py
def create_logger(log_file_path, display_level, file_level):
    """
    Logs to file as well as to display.

    See https://www.dataquest.io/blog/advanced-jupyter-notebooks-tutorial/

    Args:
        log_file_path (str):
        display_level (int): logging.INFO for example
        file_level (int): logging.INFO for example

## read_csv.py
# See https://stackoverflow.com/questions/7894856/line-contains-null-byte-in-csv-reader-python

with open(path_to_csv_file) as f:
    reader = csv.reader((x.replace('\0', '') for x in f), delimiter=',')  # Handle null values
    while True:
        try:
            line = next(reader)
        except StopIteration:
            break
        print(line)  # process lines

## create_data_directory.py
import os

import pendulum

def create_data_directory(
        data_kind,  # 'VolCal'
        data_source_id,
        timezone,
        parent_directory
):

## OpenJupyterLab.bat
set root=C:\Users\user\Anaconda3

call %root%\Scripts\activate.bat %root%

call activate py37

call cd "C:\Users\TNiederhauser\Dropbox (Medic)\MedicData\Floor Scale"

call jupyter lab

## verify_path_exists.py
def verify_path_exists(path_):
    try:
        assert os.path.exists(path_)
    except (AssertionError,) as error:
        print()
        print('Path not found')
        print(path_)
        raise FileNotFoundError

## levels_to_step_plot.py
import numpy as np

def levels_to_steps_post(x_vec, y_vec):
    """Provides data like matplotlib.pyplot.step with where set to 'post'"""

    x_new = [None] * (len(x_vec) * 2 - 1)
    y_new = [None] * (len(x_vec) * 2 - 1)

    for i in range(len(x_vec)-1):
        x_new[2*i] = x_vec[i]

## remove_nonunique_times.py
indices = np.unique(time_arr.values, return_index=True)[1]
time_strict = time_arr.values[indices]
response_strict = response_arr.values[indices]

## RunOnLoad.html
<head><script>
function initialize()
        /* Initialize the web page */
        {
            /* Do stuff */
        }
</script></head>

<body onload="initialize()">


## CallFunction.html
<head>
  <script>
  	window.setInterval(function() {myFunction()}, 500)

    function myFunction() {
      /* Do stuff */
    }

  </script>
</head>
	def get_ranges_in_between_ranges(df, start_name, stop_name):
	"""
	Get range boundaries in between range boundaries arranged to be strictly increasing.
	For example if we had three range boundaries where the range start and stop values
	are found in two separate columns in a dataframe,

	start, stop
	-----------
	0, 5
	7, 8
	def create_logger(log_file_path, display_level, file_level):
	"""
	Logs to file as well as to display.

	See https://www.dataquest.io/blog/advanced-jupyter-notebooks-tutorial/

	Args:
	log_file_path (str):
	display_level (int): logging.INFO for example
	file_level (int): logging.INFO for example
	# See https://stackoverflow.com/questions/7894856/line-contains-null-byte-in-csv-reader-python

	with open(path_to_csv_file) as f:
	reader = csv.reader((x.replace('\0', '') for x in f), delimiter=',') # Handle null values
	while True:
	try:
	line = next(reader)
	except StopIteration:
	break
	print(line) # process lines
	import os

	import pendulum

	def create_data_directory(
	data_kind, # 'VolCal'
	data_source_id,
	timezone,
	parent_directory
	):
	set root=C:\Users\user\Anaconda3

	call %root%\Scripts\activate.bat %root%

	call activate py37

	call cd "C:\Users\TNiederhauser\Dropbox (Medic)\MedicData\Floor Scale"

	call jupyter lab
	def verify_path_exists(path_):
	try:
	assert os.path.exists(path_)
	except (AssertionError,) as error:
	print()
	print('Path not found')
	print(path_)
	raise FileNotFoundError
	import numpy as np

	def levels_to_steps_post(x_vec, y_vec):
	"""Provides data like matplotlib.pyplot.step with where set to 'post'"""

	x_new = [None] * (len(x_vec) * 2 - 1)
	y_new = [None] * (len(x_vec) * 2 - 1)

	for i in range(len(x_vec)-1):
	x_new[2*i] = x_vec[i]
	indices = np.unique(time_arr.values, return_index=True)[1]
	time_strict = time_arr.values[indices]
	response_strict = response_arr.values[indices]
	<head><script>
	function initialize()
	/* Initialize the web page */
	{
	/* Do stuff */
	}
	</script></head>

	<body onload="initialize()">
	<head>
	<script>
	window.setInterval(function() {myFunction()}, 500)

	function myFunction() {
	/* Do stuff */
	}

	</script>
	</head>