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use lines in lieu of fill for proportional downloads

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crflynn
2018-09-29 20:32:25 -04:00
parent 4b81fe0e3c
commit b69d8c78e7
4 changed files with 50 additions and 24 deletions
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31
pypistats/views/general.py
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@@ -151,8 +151,12 @@ def package(package):
base["name"] = category.title()
data.append(base)
plot["data"] = data
plot["layout"]["title"] = \
f"Downloads of {package} package - {model['name'].title().replace('_', ' ')}" # noqa
if model["metric"] == "percentages":
plot["layout"]["title"] = \
f"Daily Download Proportions of {package} package - {model['name'].title().replace('_', ' ')}" # noqa
else:
plot["layout"]["title"] = \
f"Daily Download Quantity of {package} package - {model['name'].title().replace('_', ' ')}" # noqa
plots.append(plot)
return render_template(
"package.html",
@@ -216,6 +220,7 @@ def get_download_data(records):
data[category]["y"].append(0)
return data
def get_proportion_data(records):
"""Organize the data for the fill plots."""
data = defaultdict(lambda: {"x": [], "y": [], "text": []})
@@ -224,7 +229,6 @@ def get_proportion_data(records):
all_categories = []
prev_date = records[0].date
date_csum = 0
for record in records:
if record.category not in all_categories:
@@ -241,33 +245,14 @@ def get_proportion_data(records):
for category in all_categories:
data[category]["x"].append(str(record.date))
value = date_categories[category] / total
date_csum += value
data[category]["y"].append(date_csum)
data[category]["y"].append(value)
data[category]["text"].append("{0:.2f}%".format(value) + " = {:,}".format(date_categories[category]))
# # Fill missing intermediate dates with zeros
# days_between = (record.date - prev_date).days
# date_list = [prev_date + datetime.timedelta(days=x) for x in range(1, days_between)]
#
# for date in date_list:
# for category in all_categories:
# data[category]["x"].append(str(date))
# data[category]["y"].append(0)
date_categories = defaultdict(lambda: 0)
prev_date = record.date
date_csum = 0
# Track categories for this date
date_categories[record.category] = record.downloads
else:
# Fill missing intermediate dates with zeros
total = sum(date_categories.values()) / 100
for category in all_categories:
data[category]["x"].append(str(record.date))
date_csum += date_categories[category]
data[category]["y"].append(date_csum)
data[category]["text"].append("{0:.2f}%".format(date_categories[category] / total) + " = {:,}".format(date_categories[category]))
return data