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tommct / README.md
Last active June 11, 2018 07:24
D3 Constrained Zoom Canvas Image

Implements constrained zooming of an image put onto an HTML5 Canvas.

@tommct
tommct / README.md
Created August 28, 2018 23:02
MongoDB from Tableau

To get use MongoDB from Tableau, start a mongosqld instance...

mongosqld --mongo-uri "mongodb://<host>:<port>/?connect=direct"

Then from Tableau, select Servers->MongoDB BI Connector with 127.0.0.1 and 3307 as connection details.

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tommct / README.md
Last active August 29, 2018 19:01
Two axes focus+context via brushing
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tommct / jupyterthemes.ipynb
Last active December 23, 2020 17:27
Jupyter Themes
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tommct / README.md
Last active March 15, 2021 17:39
Tableau Box Plots and Histograms

This is a recipe for making box plots overlaying histograms in Tableau version 9.3. It largely borrows from http://vizpainter.com/some-tableau-tips-options-for-box-and-whisker/ and http://vizdiff.blogspot.com/2015/11/overlaying-histogram-with-box-and.html.

  1. Create a fixed continuous variable for number of objects per dimension. For example, the number of unique assignments per user:

     [Assignments Per User] = {FIXED [Userid] : COUNTD([Assignmentid])}
    
  2. Set the variable's Default Aggregation to COUNT.

  3. Drag the variable from Measures to the columns shelf.

  4. Set it to "Dimension" instead of CNT().

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tommct / walkcollection.py
Created April 30, 2021 16:39
Walk a collection, like a JSON object, using a callback.
import logging
from collections.abc import Iterable
def is_container(obj):
return isinstance(obj, Iterable) and not isinstance(obj, (str, bytes, bytearray))
# https://stackoverflow.com/a/54000999/394430
def walk_collection(obj, callback=None, _path: list=[], **kwargs):
"""Walk an arbitrarily nested structure of lists and/or dicts such as would be made when
reading JSON as an object. Walking is performed in a depth-first search manner.
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tommct / dijkstra.ipynb
Last active April 30, 2021 17:06
Generic Dijkstra's shortest paths implementation in Python using a priority queue with callback functionality as it visits nodes.
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tommct / transformercontext.py
Created July 2, 2021 17:18
Allows for the retrieval of all or parts of the transformations in a sklearn Pipeline, as well as the ability to dynamically bypass parts of the pipeline.
import contextlib
from functools import partial
from sklearn.pipeline import Pipeline
@contextlib.contextmanager
def intermediate_transforms(pipe: Pipeline, keys: list=[], bypass_list: list=[]):
"""Allows for the retrieval of all or parts of the transformations in a
sklearn Pipeline, as well as the ability to dynamically bypass parts of
the pipeline.
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tommct / README.md
Last active January 9, 2022 09:02
Instructions for downloading Jupyter Notebooks from Coursera

From an open Jupyter Notebook homework assignment, select "Coursera" to take you to the home page. Make a new notebook and fill it with the following and excute the cell with:

%%bash
tar cvfz hw.tar.gz .

This may take a little while to run depending on the packages. Select "Coursera" again to take you to the Home directory. Check the hw.tar.gz file and then Download. After the file is downloaded, delete it.

@tommct
tommct / interactive_display_pandas.ipynb
Created June 11, 2022 22:32
Update the display of a Pandas DataFrame interactively in a Jupyter Notebook using Jupyter Widgets
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