X-Git-Url: https://git.toastfreeware.priv.at/chrisu/seepark.git/blobdiff_plain/d6fe9f73ee8f656d85795574ef2debe7a72d9706..7c05a3e46921f5dfb74a337d66f469d13b6ad3a2:/web/seepark_web.py?ds=sidebyside diff --git a/web/seepark_web.py b/web/seepark_web.py index fb522ba..b899a17 100644 --- a/web/seepark_web.py +++ b/web/seepark_web.py @@ -323,49 +323,47 @@ def report(year, month): while d < end: days_datetime.append(d) d = d + datetime.timedelta(1) - days_str = [d.strftime('%d') for d in days_datetime] binary_pdf = io.BytesIO() with PdfPages(binary_pdf) as pdf: - a4 = (21./2.54, 29.7/2.54) + a4 = (29.7/2.54, 21./2.54) title = 'Seepark Wassertemperatur {} {}'.format(MONTH_DE[begin.month-1], begin.year) report_times = [datetime.time(10), datetime.time(15)] - # table - plt.figure(figsize=a4) - columns = ['Datum'] - for t in report_times: - columns.append('Wassertemperatur {} Uhr'.format(t.hour)) - cells = [] - for d in days_datetime: - cell = ['{}, {}. {}'.format(DAY_OF_WEEK_DE[d.weekday()], d.day, MONTH_DE[d.month-1])] - for t in report_times: - report_datetime = datetime.datetime.combine(d.date(), t) - closed_index = np.argmin(np.abs(x - report_datetime)) - if abs(x[closed_index] - report_datetime) > datetime.timedelta(hours=1): - cell.append('N/A') - else: - value = y[closed_index] - cell.append('{:.1f}° C'.format(value)) - cells.append(cell) - - ax = plt.gca() - ax.table(cellText=cells, colLabels=columns, - loc='upper left') - ax.axis('off') - plt.title(title) - plt.subplots_adjust(left=0.1, right=0.9) # do not cut row labels - pdf.savefig() - # graphic plt.figure(figsize=a4) plt.plot(x, y) - plt.xticks(days_datetime, days_str, rotation='vertical') - plt.xlabel('Tag') - plt.ylabel('Temparatur in °C') + plt.xticks(days_datetime, [''] * len(days_datetime)) + plt.ylabel('Temperatur in °C') plt.axis(xmin=begin, xmax=end) plt.grid() plt.title(title) + + # table + columns = [] + for d in days_datetime: + columns.append('{}.'.format(d.day)) + rows = [] + for t in report_times: + rows.append('Wasser {:02d}:{:02d} °C'.format(t.hour, t.minute)) + cells = [] + for t in report_times: + columns.append('{}.'.format(d.day)) + row_cells = [] + for d in days_datetime: + report_datetime = datetime.datetime.combine(d.date(), t) + closest_index = np.argmin(np.abs(x - report_datetime)) + if abs(x[closest_index] - report_datetime) > datetime.timedelta(hours=1): + cell = 'N/A' + else: + value = y[closest_index] + cell = '{:.1f}'.format(value) + row_cells.append(cell) + cells.append(row_cells) + table = plt.table(cellText=cells, colLabels=columns, rowLabels=rows, loc='bottom') + table.scale(xscale=1, yscale=2) + plt.title(title) + plt.subplots_adjust(left=0.15, right=0.97, bottom=0.3) # do not cut row labels pdf.savefig() pdf_info = pdf.infodict()