X-Git-Url: https://projects.mako.cc/source/matplotlib-cdsw/blobdiff_plain/224a19e5f73433a38828d6bd8a655fce7c220058..dfe31e99ffd673eda443a288459e07c672b181a2:/load_hp_data.py

diff --git a/load_hp_data.py b/load_hp_data.py
index 85cf142..55d497c 100644
--- a/load_hp_data.py
+++ b/load_hp_data.py
@@ -16,8 +16,16 @@ for fieldname in reader.fieldnames:
 
 rows = []
 for row in reader:
-	# Convert timestamp from a string to a date:
-	row['timestamp'] = datetime.strptime(row['timestamp'], '%Y-%m-%d %H:%M:%S')
-	rows.append(row)
-	for fieldname, value in row.items():
-		columns[fieldname].append(value)
\ No newline at end of file
+    # Convert timestamp from a string to a date:
+    row['timestamp'] = datetime.strptime(row['timestamp'], '%Y-%m-%d %H:%M:%S')
+    # Convert size from a string to an integer:
+    row['size'] = int(row['size'])
+    rows.append(row)
+
+# Sort these things, so that they give you nice ordered time-series
+sort_rows = sorted(rows, key=lambda row: row['timestamp'], reverse=False)
+
+rows = sort_rows
+for row in sort_rows:
+    for fieldname, value in row.items():
+        columns[fieldname].append(value)