jp bar how to order along the y-axis by date
jbauernberger opened this issue · comments
Hi,
sorry if this is a silly question and appreciate your patience.
I'm calling jp with the json input shown further below. For some reason the "date" from the json across the x axis is not showing up in correct order which I expected (e.g., as in the same sequence as the input json). The data in each column is correct (the date matches the new_cases), but I'm having troubles making them appear on the y axes in ascending order by date (e.g. exactly as they are in the input.json)
Here is the output produced by jp:
Here is the input json:
{
"continent": "Europe",
"location": "Austria",
"population": 9006400,
"population_density": 106.749,
"median_age": 44.4,
"aged_65_older": 19.202,
"aged_70_older": 13.748,
"gdp_per_capita": 45436.686,
"cardiovasc_death_rate": 145.183,
"diabetes_prevalence": 6.35,
"handwashing_facilities": null,
"hospital_beds_per_thousand": 7.37,
"life_expectancy": 81.54,
"human_development_index": 0.908,
"day1": {
"date": "2020-12-29",
"total_cases": 355352,
"new_cases": 1868,
"new_cases_smoothed": 1875.143,
"total_deaths": 6059,
"new_deaths": 128,
"new_deaths_smoothed": 74.143,
"total_cases_per_million": 39455.498,
"new_cases_per_million": 207.408,
"new_cases_smoothed_per_million": 208.201,
"total_deaths_per_million": 672.744,
"new_deaths_per_million": 14.212,
"new_deaths_smoothed_per_million": 8.232,
"new_tests": 15563,
"total_tests": 3794046,
"total_tests_per_thousand": 421.261,
"new_tests_per_thousand": 1.728,
"new_tests_smoothed": 21479,
"new_tests_smoothed_per_thousand": 2.385,
"positive_rate": 0.087,
"tests_per_case": 11.5,
"tests_units": "tests performed"
},
"day2": {
"date": "2020-12-30",
"total_cases": 357902,
"new_cases": 2550,
"new_cases_smoothed": 1935,
"total_deaths": 6149,
"new_deaths": 90,
"new_deaths_smoothed": 70.714,
"total_cases_per_million": 39738.63,
"new_cases_per_million": 283.132,
"new_cases_smoothed_per_million": 214.847,
"total_deaths_per_million": 682.737,
"new_deaths_per_million": 9.993,
"new_deaths_smoothed_per_million": 7.852,
"new_tests": 16085,
"total_tests": 3810131,
"total_tests_per_thousand": 423.047,
"new_tests_per_thousand": 1.786,
"new_tests_smoothed": 18285,
"new_tests_smoothed_per_thousand": 2.03,
"positive_rate": 0.106,
"tests_per_case": 9.4,
"tests_units": "tests performed",
"total_vaccinations": 6000,
"total_vaccinations_per_hundred": 0.07
},
"day3": {
"date": "2020-12-31",
"total_cases": 360815,
"new_cases": 2913,
"new_cases_smoothed": 1944.429,
"total_deaths": 6222,
"new_deaths": 73,
"new_deaths_smoothed": 68.143,
"total_cases_per_million": 40062.067,
"new_cases_per_million": 323.437,
"new_cases_smoothed_per_million": 215.894,
"total_deaths_per_million": 690.842,
"new_deaths_per_million": 8.105,
"new_deaths_smoothed_per_million": 7.566,
"new_tests": 26789,
"total_tests": 3836920,
"total_tests_per_thousand": 426.021,
"new_tests_per_thousand": 2.974,
"new_tests_smoothed": 17948,
"new_tests_smoothed_per_thousand": 1.993,
"positive_rate": 0.108,
"tests_per_case": 9.2,
"tests_units": "tests performed"
},
"day4": {
"date": "2021-01-01",
"total_cases": 362911,
"new_cases": 2096,
"new_cases_smoothed": 1979.429,
"total_deaths": 6261,
"new_deaths": 39,
"new_deaths_smoothed": 68.286,
"total_cases_per_million": 40294.79,
"new_cases_per_million": 232.723,
"new_cases_smoothed_per_million": 219.78,
"total_deaths_per_million": 695.172,
"new_deaths_per_million": 4.33,
"new_deaths_smoothed_per_million": 7.582,
"new_tests": 20462,
"total_tests": 3857382,
"total_tests_per_thousand": 428.293,
"new_tests_per_thousand": 2.272,
"new_tests_smoothed": 17783,
"new_tests_smoothed_per_thousand": 1.974,
"positive_rate": 0.111,
"tests_per_case": 9,
"tests_units": "tests performed"
},
"day5": {
"date": "2021-01-02",
"total_cases": 364302,
"new_cases": 1391,
"new_cases_smoothed": 1974,
"total_deaths": 6275,
"new_deaths": 14,
"new_deaths_smoothed": 61.714,
"total_cases_per_million": 40449.236,
"new_cases_per_million": 154.446,
"new_cases_smoothed_per_million": 219.177,
"total_deaths_per_million": 696.727,
"new_deaths_per_million": 1.554,
"new_deaths_smoothed_per_million": 6.852
},
"day6": {
"date": "2021-01-03",
"total_cases": 365768,
"new_cases": 1466,
"new_cases_smoothed": 1982.286,
"total_deaths": 6324,
"new_deaths": 49,
"new_deaths_smoothed": 63.286,
"total_cases_per_million": 40612.009,
"new_cases_per_million": 162.773,
"new_cases_smoothed_per_million": 220.097,
"total_deaths_per_million": 702.167,
"new_deaths_per_million": 5.441,
"new_deaths_smoothed_per_million": 7.027
},
"day7": {
"date": "2021-01-04",
"total_cases": 367410,
"new_cases": 1642,
"new_cases_smoothed": 1989.429,
"total_deaths": 6357,
"new_deaths": 33,
"new_deaths_smoothed": 60.857,
"total_cases_per_million": 40794.324,
"new_cases_per_million": 182.315,
"new_cases_smoothed_per_million": 220.891,
"total_deaths_per_million": 705.831,
"new_deaths_per_million": 3.664,
"new_deaths_smoothed_per_million": 6.757
}
}
And this is how the input json is processed with jp (it needs the input.json as it's only argument)
#!/bin/bash
if [ -z "$1" ]; then
echo "Usage $0 input.json"
exit 1
fi
corpus_tmp=~/.cache/covid_status/tmp/
mkdir -p $corpus_tmp
declare -r jp_chart_txt=`mktemp --suffix=.txt $corpus_tmp/covid_status_jp.XXXXXXXXX` || {
echo "eror mktemp --suffix=.txt $corpus_tmp/covid_status_jp.XXXXXXXXX returned $?: $!" >&2; exit 1
}
## date on x axis will cause the order get messed up.
## FIXME!!
< "$@" ~/src/go/bin/jp -xy '..[date,new_cases]' -type bar -canvas full-escape &> $jp_chart_txt || {
echo "jp failed ($?) - Sorry no chart :(" &>> $jp_chart_txt
exit 1
}
less -X $jp_chart_txt
rm -f $jp_chart_txt
exit 0
thanks
edit: updated/corrected the input.json