Now the generated PDF contains only 1 page and in A4 landscape mode.

diff --git a/web/seepark_web.py b/web/seepark_web.py
index a155ffc9e4c59dbf613e1b1186644fa6d0fc7d56..b899a1730ebdfaea506fd652c7993f0d3b2d2779 100644 (file)
--- 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)
     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:
 
     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)]
 
         title = 'Seepark Wassertemperatur {} {}'.format(MONTH_DE[begin.month-1], begin.year)
         report_times = [datetime.time(10), datetime.time(15)]
 

-        # table
+        # graphic

         plt.figure(figsize=a4)
         plt.figure(figsize=a4)

-        columns = ['Datum']
+        plt.plot(x, y)
+        plt.xticks(days_datetime, [''] * len(days_datetime))

         plt.ylabel('Temperatur in °C')
         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:
         for t in report_times:

-            columns.append('Wassertemperatur {} Uhr'.format(t.hour))
+            rows.append('Wasser {:02d}:{:02d} °C'.format(t.hour, t.minute))

         cells = []
         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:
+        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):
                 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.append('N/A')
+                    cell = 'N/A'

                 else:
                     value = y[closest_index]
                 else:
                     value = y[closest_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.axis(xmin=begin, xmax=end)
-        plt.grid()
+                    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.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()
         pdf.savefig()
 
         pdf_info = pdf.infodict()