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{ | |
"metadata": { | |
"name": "", | |
"signature": "sha256:f8edf9c1663e0e67e6fbbbfbfc78f83f1f702f53194b9792e22bda26e5b094e5" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ |
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{ | |
"metadata": { | |
"name": "Heatmap Example" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ |
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{ | |
"metadata": { | |
"name": "Heatmap Example" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ |
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{ | |
"metadata": { | |
"name": "Work Morale" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ |
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%matplotlib inline | |
import matplotlib.pyplot as plt | |
import matplotlib.ticker as mticker | |
import pandas as pd | |
data = pd.DataFrame.from_csv('askmefi_category_year.tsv', sep='\t') | |
categories = data.category.unique() | |
mydata = {} | |
for i in categories: |
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#!/bin/sh | |
# A shell script to log personal body weights into /mnt/DataDrive/Documents/WeightLog.txt file | |
# Written by: Joe Lotz | |
# Last updated: 2020/June/11 | |
# | |
# logweight --help | |
# -------------------------------------------------------------- | |
# Set vars |
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