standard good-bad colors through front and backend
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@ -87,15 +87,15 @@ def build_pm_plot(x, y, y_max, thresh, title):
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col = []
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for val in y:
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if val < thresh:
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col.append('#00cc00')
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col.append('#6ecd65')
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else:
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col.append('#cc0000')
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col.append('#ff4d4d')
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# title
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plt_title = f'Daily avg PM {title} exposure'
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# plot
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plt.style.use('seaborn')
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plt.bar(x_dates, y, color=col, width=0.5)
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plt.axhline(y=thresh, color='#00cc00', linestyle=':')
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plt.axhline(y=thresh, color='#6ecd65', linestyle=':')
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plt.xticks(ticks=x_range, labels=x_dates)
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plt.yticks(np.arange(0, y_max, step=25))
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plt.title(plt_title, fontsize=20)
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@ -88,7 +88,7 @@ def write_df(mean):
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avg_change = 'same'
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# build avg df
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avg_row = {'timestamp': '10 days avg', 'now_aqi': now_avg, 'year_aqi': year_avg, 'change': avg_change}
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avg_row = {'timestamp': 'avg 10 days', 'now_aqi': now_avg, 'year_aqi': year_avg, 'change': avg_change}
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new_row = pd.DataFrame(avg_row, index = [0]).round()
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mean = pd.concat([new_row, mean]).reset_index(drop = True)
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# convert to int
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@ -252,10 +252,10 @@ function tableContent() {
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}
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if (cell == 'down') {
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td.textContent = '\u25BC';
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td.style.backgroundColor = '#00cc00';
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td.style.backgroundColor = '#6ecd65';
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} else if (cell == 'up') {
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td.textContent = '\u25B2';
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td.style.backgroundColor = '#cc0000';
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td.style.backgroundColor = '#ff4d4d';
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} else if (cell == 'same') {
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td.textContent = '\u301C';
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td.style.backgroundColor = '#bdbdbd';
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