AdamSpannbauer

# Create/animate fractal trees at various angles for branch splits

library(gganimate)
library(ggplot2)
library(uuid)
options(stringsAsFactors = FALSE)

# create line segment from (0, 0) to (0, len) to be trunk of fractal tree
create_trunk = function(len = 1) {
  end_point = c(0, len)

AdamSpannbauer

class A:
    def x(self):
        print('x: A')


class B(A):
    def x(self):
        super().x()
        print('x: B')

AdamSpannbauer

# Experimental utility function

message("--------------------------------------------------------------------------------\n")
message("Overwriting `?` function with custom utility to display in memory function help.\n")
message("--------------------------------------------------------------------------------\n\n")

help2 = function(f, ...) {
  #' Extend `help()` to show in memory function documentation
  #'
  #' @details Supports python docstring-esque roxygen documentation.

AdamSpannbauer

#current preferred version of wc2
devtools::install_github("Lchiffon/wordcloud2#32")

#function to give wordcloud2 click interactivity
wc2ClickedWord = function(cloudOutputId, inputId) {
  #ARGUMENTS
  #       - cloudOutputId: string; outputId of wordcloud2 obj being rendered (should be identical to the value passed to wordcloud2Output)
  #       -       inputId: string; inputId of word clicked on (ie you will reference in server the word by input$inputId)
  #OUPUT
  #       - referencing input in server will return a string of form word:freq (same as hover info shown in wordcloud; ie 'super:32')

AdamSpannbauer

library(data.table)
library(gganimate)
library(ggplot2)

#toy example data
dt = data.table(time=1:10, x=round(runif(10, 50, 100), 0))

#number of frames per bar
n_frames_per_bar = 20
#create sequence per time (to imitate the bar growing from ground)

AdamSpannbauer

>>> from whoosh.analysis import StandardAnalyzer
>>>
>>> [token.text for token in StandardAnalyzer()("This is an example analysis")]

AdamSpannbauer

("exit" to quit) Question: What market does FitBit compete in?
   Search Rank  Squad Rank  Combined Rank                           Answer                     Context
0  2.0          6.0         1.5            crowded market                   ... rather   crowded ma...
1  7.0          1.0         1.5            oncology                         ...te in the oncology  ...
2  8.0          3.0         3.0            streaming services market        ...trate the streaming ...
3  5.0          7.0         4.0            leash                            ...ck a long leash. Boe...
4  4.0          9.0         5.0            iPhones                          ...io of new iPhones - ...
5  1.0          13.0        6.5            wearables                        ...hough, is wearables,...
6  9.0          5.0         6.5            murky                            ...'re in a "murky" mar...
7  15.0         2.0         8.0            ad market                        ...ce in the ad market ...

AdamSpannbauer

from collections import defaultdict
import numpy as np


def api_call(response_ok=True):
    if response_ok:
        return {'Released': 2010, 'Ratings': [{'Value': 98}]}
    else:
        return defaultdict(lambda: np.nan)
    

AdamSpannbauer

# Modified from https://www.science-emergence.com/Articles/How-to-plot-a-normal-distribution-with-matplotlib-in-python-/
import numpy as np
import scipy.stats
import matplotlib.pyplot as plt


def plot_area(mean, std, pt1, pt2, fill):
  plt.plot([pt1, pt1], [0.0, scipy.stats.norm.pdf(pt1, mean, std)], color='black')
  plt.plot([pt2, pt2], [0.0, scipy.stats.norm.pdf(pt2, mean, std)], color='black')

AdamSpannbauer

# An extension of help / `?` to work with roxygen documentation in a
# Pythonic / docstring style for non-packaged functions.


.fun_body = function(fun) {
  #' Get body of function (including comments) as a character vector
  #'
  #' @param fun name of function obj to return body of
  #'
  #' @return character vector of function body (1 element per line)