def index():
"""Show user's grades for selected trimester"""
if request.method == "POST":
trimester = request.form.get("trimester")
user = session["user_id"]
index = db.execute(
"SELECT * FROM grades WHERE id=:user AND trimester=:trimester ORDER BY subject ASC",
user=user,
trimester=trimester)
for subject in index:
test = subject["test"]
cg1 = subject["cg1"]
cg2 = subject["cg2"]
cg3 = subject["cg3"]
cg4 = subject["cg4"]
cg5 = subject["cg5"]
cgs = [cg1, cg2, cg3, cg4, cg5]
if subject["subject"] in ["RE", "Sociology", "Philosophy"]:
if test:
average = (test + cgavg(add(cgs), count(cgs))) / 2
else:
average = cgavg(add(cgs), count(cgs)) / 2
else:
if test:
average = test * 0.4 + cgavg(add(cgs), count(cgs)) * 0.6
else:
average = cgavg(add(cgs), count(cgs)) * 0.6
rounded = approx(average)
subject.update({"average": round(average, 5)})
subject.update({"approx": rounded})
return render_template("grades.html", trimester=trimester, index=index)
else:
return render_template("index.html")
def when_I_add_a_chart_with_categories_and_series(context, kind, cats, sers):
chart_type = {
'Area': XL_CHART_TYPE.AREA,
'100% Stacked Area': XL_CHART_TYPE.AREA_STACKED_100,
'Stacked Area': XL_CHART_TYPE.AREA_STACKED,
'Clustered Bar': XL_CHART_TYPE.BAR_CLUSTERED,
'100% Stacked Bar': XL_CHART_TYPE.BAR_STACKED_100,
'Stacked Bar': XL_CHART_TYPE.BAR_STACKED,
'Clustered Column': XL_CHART_TYPE.COLUMN_CLUSTERED,
'100% Stacked Column': XL_CHART_TYPE.COLUMN_STACKED_100,
'Stacked Column': XL_CHART_TYPE.COLUMN_STACKED,
'Line': XL_CHART_TYPE.LINE,
'Pie': XL_CHART_TYPE.PIE,
}[kind]
category_count, series_count = int(cats), int(sers)
category_source = ('Foo', 'Bar', 'Baz', 'Boo', 'Far', 'Faz')
series_value_source = count(1.1, 1.1)
chart_data = ChartData()
chart_data.categories = category_source[:category_count]
for idx in range(series_count):
series_title = 'Series %d' % (idx+1)
series_values = tuple(islice(series_value_source, category_count))
chart_data.add_series(series_title, series_values)
context.chart = context.slide.shapes.add_chart(
chart_type, Inches(1), Inches(1), Inches(8), Inches(5), chart_data
).chart
def when_I_replace_its_data_with_categories_and_series(context, cats, sers):
category_count, series_count = int(cats), int(sers)
category_source = ('Foo', 'Bar', 'Baz', 'Boo', 'Far', 'Faz')
series_value_source = count(1.1, 1.1)
chart_data = ChartData()
chart_data.categories = category_source[:category_count]
for idx in range(series_count):
series_title = 'New Series %d' % (idx + 1)
series_values = tuple(islice(series_value_source, category_count))
chart_data.add_series(series_title, series_values)
context.chart.replace_data(chart_data)
def when_I_replace_its_data_with_categories_and_series(context, cats, sers):
category_count, series_count = int(cats), int(sers)
category_source = ("Foo", "Bar", "Baz", "Boo", "Far", "Faz")
series_value_source = count(1.1, 1.1)
chart_data = ChartData()
chart_data.categories = category_source[:category_count]
for idx in range(series_count):
series_title = "New Series %d" % (idx + 1)
series_values = tuple(islice(series_value_source, category_count))
chart_data.add_series(series_title, series_values)
context.chart.replace_data(chart_data)
def calculator():
"""Calculate necessary score on an activity based on inputted values"""
if request.method == "POST":
subject = request.form.get("subject")
test = request.form.get("test")
cg1 = request.form.get("cg1")
cg2 = request.form.get("cg2")
cg3 = request.form.get("cg3")
cg4 = request.form.get("cg4")
cg5 = request.form.get("cg5")
cgs = [cg1, cg2, cg3, cg4, cg5]
average = float(request.form.get("average"))
if subject == "1":
if test:
test = float(test)
grade = ((count(cgs) + 1) * (average - 0.24 -
(test * 0.4))) / 0.6 - add(cgs)
evaluation = "test"
else:
grade = (average - 0.24 -
cgavg(add(cgs), count(cgs)) * 0.6) / 0.4
evaluation = "class grade"
else:
if test:
test = float(test)
grade = (count(cgs) + 1) * (2 *
(average - 0.24) - test) - add(cgs)
evaluation = "test"
else:
grade = 2 * (average - 0.24) - cgavg(add(cgs), count(cgs))
evaluation = "class grade"
return render_template("calculated.html",
grade=round(grade, 3),
evaluation=evaluation)
else:
return render_template("calculator.html")
def when_I_add_a_chart_with_categories_and_series(context, kind, cats, sers):
chart_type = {
'Area': XL_CHART_TYPE.AREA,
'Stacked Area': XL_CHART_TYPE.AREA_STACKED,
'100% Stacked Area': XL_CHART_TYPE.AREA_STACKED_100,
'Clustered Bar': XL_CHART_TYPE.BAR_CLUSTERED,
'Stacked Bar': XL_CHART_TYPE.BAR_STACKED,
'100% Stacked Bar': XL_CHART_TYPE.BAR_STACKED_100,
'Clustered Column': XL_CHART_TYPE.COLUMN_CLUSTERED,
'Stacked Column': XL_CHART_TYPE.COLUMN_STACKED,
'100% Stacked Column': XL_CHART_TYPE.COLUMN_STACKED_100,
'Doughnut': XL_CHART_TYPE.DOUGHNUT,
'Exploded Doughnut': XL_CHART_TYPE.DOUGHNUT_EXPLODED,
'Line': XL_CHART_TYPE.LINE,
'Line with Markers': XL_CHART_TYPE.LINE_MARKERS,
'Line Markers Stacked': XL_CHART_TYPE.LINE_MARKERS_STACKED,
'100% Line Markers Stacked': XL_CHART_TYPE.LINE_MARKERS_STACKED_100,
'Line Stacked': XL_CHART_TYPE.LINE_STACKED,
'100% Line Stacked': XL_CHART_TYPE.LINE_STACKED_100,
'Pie': XL_CHART_TYPE.PIE,
'Exploded Pie': XL_CHART_TYPE.PIE_EXPLODED,
'Radar': XL_CHART_TYPE.RADAR,
'Filled Radar': XL_CHART_TYPE.RADAR_FILLED,
'Radar with markers': XL_CHART_TYPE.RADAR_MARKERS,
}[kind]
category_count, series_count = int(cats), int(sers)
category_source = ('Foo', 'Bar', 'Baz', 'Boo', 'Far', 'Faz')
series_value_source = count(1.1, 1.1)
chart_data = CategoryChartData()
chart_data.categories = category_source[:category_count]
for idx in range(series_count):
series_title = 'Series %d' % (idx + 1)
series_values = tuple(islice(series_value_source, category_count))
chart_data.add_series(series_title, series_values)
context.chart = context.slide.shapes.add_chart(chart_type, Inches(1),
Inches(1), Inches(8),
Inches(5), chart_data).chart
def when_I_add_a_chart_with_categories_and_series(context, kind, cats, sers):
chart_type = {
"Area": XL_CHART_TYPE.AREA,
"Stacked Area": XL_CHART_TYPE.AREA_STACKED,
"100% Stacked Area": XL_CHART_TYPE.AREA_STACKED_100,
"Clustered Bar": XL_CHART_TYPE.BAR_CLUSTERED,
"Stacked Bar": XL_CHART_TYPE.BAR_STACKED,
"100% Stacked Bar": XL_CHART_TYPE.BAR_STACKED_100,
"Clustered Column": XL_CHART_TYPE.COLUMN_CLUSTERED,
"Stacked Column": XL_CHART_TYPE.COLUMN_STACKED,
"100% Stacked Column": XL_CHART_TYPE.COLUMN_STACKED_100,
"Doughnut": XL_CHART_TYPE.DOUGHNUT,
"Exploded Doughnut": XL_CHART_TYPE.DOUGHNUT_EXPLODED,
"Line": XL_CHART_TYPE.LINE,
"Line with Markers": XL_CHART_TYPE.LINE_MARKERS,
"Line Markers Stacked": XL_CHART_TYPE.LINE_MARKERS_STACKED,
"100% Line Markers Stacked": XL_CHART_TYPE.LINE_MARKERS_STACKED_100,
"Line Stacked": XL_CHART_TYPE.LINE_STACKED,
"100% Line Stacked": XL_CHART_TYPE.LINE_STACKED_100,
"Pie": XL_CHART_TYPE.PIE,
"Exploded Pie": XL_CHART_TYPE.PIE_EXPLODED,
"Radar": XL_CHART_TYPE.RADAR,
"Filled Radar": XL_CHART_TYPE.RADAR_FILLED,
"Radar with markers": XL_CHART_TYPE.RADAR_MARKERS,
}[kind]
category_count, series_count = int(cats), int(sers)
category_source = ("Foo", "Bar", "Baz", "Boo", "Far", "Faz")
series_value_source = count(1.1, 1.1)
chart_data = CategoryChartData()
chart_data.categories = category_source[:category_count]
for idx in range(series_count):
series_title = "Series %d" % (idx + 1)
series_values = tuple(islice(series_value_source, category_count))
chart_data.add_series(series_title, series_values)
context.chart = context.slide.shapes.add_chart(
chart_type, Inches(1), Inches(1), Inches(8), Inches(5), chart_data
).chart
def when_I_add_a_chart_with_categories_and_series(context, kind, cats, sers):
chart_type = {
'Clustered Bar': XL_CHART_TYPE.BAR_CLUSTERED,
'100% Stacked Bar': XL_CHART_TYPE.BAR_STACKED_100,
'Clustered Column': XL_CHART_TYPE.COLUMN_CLUSTERED,
'Line': XL_CHART_TYPE.LINE,
'Pie': XL_CHART_TYPE.PIE,
}[kind]
category_count, series_count = int(cats), int(sers)
category_source = ('Foo', 'Bar', 'Baz', 'Boo', 'Far', 'Faz')
series_value_source = count(1.1, 1.1)
chart_data = ChartData()
chart_data.categories = category_source[:category_count]
for idx in range(series_count):
series_title = 'Series %d' % (idx + 1)
series_values = tuple(islice(series_value_source, category_count))
chart_data.add_series(series_title, series_values)
context.chart = context.slide.shapes.add_chart(chart_type, Inches(1),
Inches(1), Inches(8),
Inches(5), chart_data).chart
def when_I_add_a_chart_with_categories_and_series(context, kind, cats, sers):
chart_type = {
'Area': XL_CHART_TYPE.AREA,
'Stacked Area': XL_CHART_TYPE.AREA_STACKED,
'100% Stacked Area': XL_CHART_TYPE.AREA_STACKED_100,
'Clustered Bar': XL_CHART_TYPE.BAR_CLUSTERED,
'Stacked Bar': XL_CHART_TYPE.BAR_STACKED,
'100% Stacked Bar': XL_CHART_TYPE.BAR_STACKED_100,
'Clustered Column': XL_CHART_TYPE.COLUMN_CLUSTERED,
'Stacked Column': XL_CHART_TYPE.COLUMN_STACKED,
'100% Stacked Column': XL_CHART_TYPE.COLUMN_STACKED_100,
'Doughnut': XL_CHART_TYPE.DOUGHNUT,
'Exploded Doughnut': XL_CHART_TYPE.DOUGHNUT_EXPLODED,
'Line': XL_CHART_TYPE.LINE,
'Line with Markers': XL_CHART_TYPE.LINE_MARKERS,
'Line Markers Stacked': XL_CHART_TYPE.LINE_MARKERS_STACKED,
'100% Line Markers Stacked': XL_CHART_TYPE.LINE_MARKERS_STACKED_100,
'Line Stacked': XL_CHART_TYPE.LINE_STACKED,
'100% Line Stacked': XL_CHART_TYPE.LINE_STACKED_100,
'Pie': XL_CHART_TYPE.PIE,
'Exploded Pie': XL_CHART_TYPE.PIE_EXPLODED,
'Radar': XL_CHART_TYPE.RADAR,
'Filled Radar': XL_CHART_TYPE.RADAR_FILLED,
'Radar with markers': XL_CHART_TYPE.RADAR_MARKERS,
}[kind]
category_count, series_count = int(cats), int(sers)
category_source = ('Foo', 'Bar', 'Baz', 'Boo', 'Far', 'Faz')
series_value_source = count(1.1, 1.1)
chart_data = CategoryChartData()
chart_data.categories = category_source[:category_count]
for idx in range(series_count):
series_title = 'Series %d' % (idx+1)
series_values = tuple(islice(series_value_source, category_count))
chart_data.add_series(series_title, series_values)
context.chart = context.slide.shapes.add_chart(
chart_type, Inches(1), Inches(1), Inches(8), Inches(5), chart_data
).chart
with open('misc/pages5.json', 'r') as f:
pages=json.loads(f.read())
with open('misc/pages5.json', 'r') as f:
pages=json.loads(f.read())
with open('misc/pages5.json', 'r') as f:
pages=json.loads(f.read())
with open('misc/pages5.json', 'r') as f:
pages=json.loads(f.read())
len(pages)
get_ipython().magic('ls ')
import helpers
helpers.count('abc13 a')
counts = [helpers.count(page) for page in pages]
len(counts)
import matplotlib.pyplot as plt
plt.plot(counts)
plt.ylabel('Zahlenanteil (%)')
plt.xlabel('Seitenzahl')
plt.suptitle('Anteil Ziffern pro Seite')
plt.show()
plot = plt.plot(counts)
plt.plot(counts)
plt.ylabel('Zahlenanteil (%)')
plt.xlabel('Seitenzahl')
plt.suptitle('Anteil Ziffern pro Seite')
plt.savefig('fig_300.png', dpi=300)
import matplotlib as mpl
if val == 0.6666666666666666:
digits[key] = 0.6
digits
pages3 = []
for page in pages:
for word, digit in digits.items():
page = page.replace(word, str(digit))
pages3.append(page)
len(pages3)
get_ipython().magic('ls ')
import helpers
helpers.count
helpers.count()
counts = {}
counts = []
counts = [helpers.count(page) for page in pages3]
len(counts)
import matplotlib.pyplot as plt
plt.plot(counts)
plt.ylabel('Zahlenanteil (%)')
plt.xlabel('Seitenzahl')
plt.suptitle('Anteil Ziffern pro Seite')
plt.show()
for count in range(len(counts)):
if count > 8:
print('Page ' + str(count))
print('\n')
print(pages3[count])
