Travis Niederhauser travis23

## current_time_with_pendulum.py
import pendulum

now = pendulum.now()
now.format('YYYYMMDD_HHmm')

## files_in_directory.py
# See
# https://stackoverflow.com/questions/3207219/how-do-i-list-all-files-of-a-directory

from os import listdir
from os.path import isfile, join

onlyfiles = [f for f in listdir(mypath) if isfile(join(mypath, f))]

## get_filename_from_path.py
# See
# https://stackoverflow.com/questions/8384737/extract-file-name-from-path-no-matter-what-the-os-path-format

import ntpath

path_to_file = r"C:\a\b\s\d\f_a\aasdas_o_g.json"

print(ntpath.basename(path_to_file)

# Output:

## pytest_tmpdir_factory.py
import json
import os

import pytest as pt

# See Python Testing with pytest. > Chapter 4 > Using tmpdir and tmpdir_factory

class TestStuff(object):

    @pt.fixture(scope='class')

## universal_directory.py
import os
import pathlib


# 1
# -------------------------------------------------
os.environ["ALLUSERSPROFILE"]
# The environment variable "ALLUSERSPROFILE" is available on Windows only.
# On Windows returns
# 'C:\\ProgramData'

## filename_pattern_matching.py
import fnmatch

pattern = "aaa_*"  # Special characters '*' and '?'

list_of_all_files = ['aaa_1.json', 'a.json', 'b.json']

for filename in list_of_all_files:
    if fnmatch.fnmatch(filename, pattern):
        print(filename)

## mplcursors_demo.py
import matplotlib.pyplot as plt
from matplotlib import gridspec
import mplcursors

annotations0 = ['cat', 'dog', 'hare']
x = [1, 2, 3]
y = [0, 2.5, 3]

fontsize=20

## find_index_of_first_nonzero_occurrence.py
import numpy as np

def find_index_of_first_nonzero_occurrence(array):
    """
    Find the index of the first non-zero occurrence in a numpy array.
    This is essentially a wrapper around np.flatnonzero(). If there are
    no non-zero values None is returned.

    array (numpy array): Should be 1d array and all elements should be numeric
    """

## sort_matched_arrays.py
# Sometimes timeseries need to be concatenated and then sorted so that the time vector is monotonic.

# ---- Monotonic in x, but not strictly increasing
# ********************************************************************************
x1 = np.array([1, 2, 3, 4, 4])  # Not all of the values are unique
y1 = np.array([10, 20, 30, 42, 40])
x2 = np.array([1.5, 2.5, 3.5, 4.5])
y2 = np.array([15, 25, 35, 45])

x_ = np.concatenate((x1, x2))

## change_tab_title.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                travis23
                / change_tab_title.ipynb
            
            
              Created
              August 29, 2019 23:46
            
              
                [JupyterLab Change Tab Title] #jupyterlab
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
	import pendulum

	now = pendulum.now()
	now.format('YYYYMMDD_HHmm')
	# See
	# https://stackoverflow.com/questions/3207219/how-do-i-list-all-files-of-a-directory

	from os import listdir
	from os.path import isfile, join

	onlyfiles = [f for f in listdir(mypath) if isfile(join(mypath, f))]
	# See
	# https://stackoverflow.com/questions/8384737/extract-file-name-from-path-no-matter-what-the-os-path-format

	import ntpath

	path_to_file = r"C:\a\b\s\d\f_a\aasdas_o_g.json"

	print(ntpath.basename(path_to_file)

	# Output:
	import json
	import os

	import pytest as pt

	# See Python Testing with pytest. > Chapter 4 > Using tmpdir and tmpdir_factory

	class TestStuff(object):

	@pt.fixture(scope='class')
	import os
	import pathlib


	# 1
	# -------------------------------------------------
	os.environ["ALLUSERSPROFILE"]
	# The environment variable "ALLUSERSPROFILE" is available on Windows only.
	# On Windows returns
	# 'C:\\ProgramData'
	import fnmatch

	pattern = "aaa_" # Special characters '' and '?'

	list_of_all_files = ['aaa_1.json', 'a.json', 'b.json']

	for filename in list_of_all_files:
	if fnmatch.fnmatch(filename, pattern):
	print(filename)
	import matplotlib.pyplot as plt
	from matplotlib import gridspec
	import mplcursors

	annotations0 = ['cat', 'dog', 'hare']
	x = [1, 2, 3]
	y = [0, 2.5, 3]

	fontsize=20
	import numpy as np

	def find_index_of_first_nonzero_occurrence(array):
	"""
	Find the index of the first non-zero occurrence in a numpy array.
	This is essentially a wrapper around np.flatnonzero(). If there are
	no non-zero values None is returned.

	array (numpy array): Should be 1d array and all elements should be numeric
	"""
	# Sometimes timeseries need to be concatenated and then sorted so that the time vector is monotonic.

	# ---- Monotonic in x, but not strictly increasing
	# ********************************************************************************
	x1 = np.array([1, 2, 3, 4, 4]) # Not all of the values are unique
	y1 = np.array([10, 20, 30, 42, 40])
	x2 = np.array([1.5, 2.5, 3.5, 4.5])
	y2 = np.array([15, 25, 35, 45])

	x_ = np.concatenate((x1, x2))