def main(data, region, test=False):
""" Main generate function get data and region id """
# Graph generate goes here!
# Export file name as Regions_Frequency_<region_id>
regions = {
1: "North America",
2: "Central America & Caribbean",
3: "South America",
4: "East Asia",
5: "Southeast Asia",
6: "South Asia",
7: "Central Asia",
8: "Western Europe",
9: "Eastern Europe",
10: "Middle East & North Africa",
11: "Sub-Saharan Africa",
12: "Australasia & Oceania"
}
result_x = [x for x in range(1970, 2017) if x != 1993]
result_y = []
for year in result_x:
frequency = len(data[(data['iyear'] == year)
& (data['region'] == region)])
result_y.append(frequency)
# Initialize Line Chart
chart = pg.Line(x_labels_major_count=8,
show_minor_x_labels=False,
truncate_legend=40,
legend_at_bottom=True,
truncate_label=20)
# Chart title
chart.title = 'Terriorism incidents of ' + regions[
region] + ' from 1970 to 2016 except 1993'
# X-Axis Label
chart.x_labels = [str(x) for x in result_x]
# Y-Axis and label
chart.add('Incidents count', result_y)
# Save chart into file
filename = 'Charts/Regions_Frequency_' + regions[region] + '.svg'
chart.render_to_file(filename)
# End of modules and return back to main
if test:
return
print("\nGraph generated!")
regions_main.main(data)
def success(data, test=False):
""" Main generate function get data and weapon id = 0 (Overall) """
# Graph generate goes here!
# Export file name as Weapons_SuccessRate_Overall
regions = {
1: "North America",
2: "Central America & Caribbean",
3: "South America",
4: "East Asia",
5: "Southeast Asia",
6: "South Asia",
7: "Central Asia",
8: "Western Europe",
9: "Eastern Europe",
10: "Middle East & North Africa",
11: "Sub-Saharan Africa",
12: "Australasia & Oceania"
}
result_x = [regions[x] for x in sorted(regions)]
result_y = []
for x in sorted(regions):
if len(data[data['region'] == x]) == 0:
freq = 0
else:
freq = len(data[(data['region'] == x) & (data['success'] == 1)]) / len(data[data['region'] == x])
result_y.append(freq)
chart = pygal.Bar(show_minor_x_labels=False, truncate_legend=40,
truncate_label=20, x_label_rotation=90, y_labels_major_every=3,
show_minor_y_labels=False)
chart.x_labels = []
chart.title = 'Overall success rate by regions from 1970 to 2016 except 1993'
for x in range(12):
if result_y[x] == 0:
continue
chart.add(result_x[x] + " (" + str("%.3f" % (result_y[x] * 100)) + "%)", round(result_y[x] * 100, 3))
chart.render_to_file('Charts/Regions_SuccessRate_Overall.svg')
# End of modules and return back to main
if test:
return
print("\nGraph generated!")
regions_main.main(data)
def frequency(data, test=False):
""" Main generate function get data and weapon id = 0 (Overall) """
# Graph generate goes here!
# Export file name as Weapons_Frequency_Overall
regions = {
1: "North America",
2: "Central America & Caribbean",
3: "South America",
4: "East Asia",
5: "Southeast Asia",
6: "South Asia",
7: "Central Asia",
8: "Western Europe",
9: "Eastern Europe",
10: "Middle East & North Africa",
11: "Sub-Saharan Africa",
12: "Australasia & Oceania"
}
result_x = [regions[x] for x in sorted(regions)]
result_y = []
for x in sorted(regions):
freq = len(data[data['region'] == x])
result_y.append(freq)
chart = pygal.Bar(show_minor_x_labels=False, truncate_legend=40,
truncate_label=20, x_label_rotation=90, logarithmic=True, y_labels_major_every=3,
show_minor_y_labels=False)
chart.x_labels = []
chart.title = 'Overall incidents from 1970 to 2016 except 1993 by regions'
for x in range(12):
chart.add(result_x[x] + " (" + str(result_y[x]) + ")", result_y[x])
chart.render_to_file('Charts/Regions_Frequency_Overall.svg')
# End of modules and return back to main
if test:
return
print("\nGraph generated!")
regions_main.main(data)
def menu_regions(data):
""" Main menu of regions """
regions.main(data)
def main(data, region, test=False):
""" Main generate function get data and region id """
# Graph generate goes here!
# Export file name as Region_Success_<region_id>
regions = {
1: "North America",
2: "Central America & Caribbean",
3: "South America",
4: "East Asia",
5: "Southeast Asia",
6: "South Asia",
7: "Central Asia",
8: "Western Europe",
9: "Eastern Europe",
10: "Middle East & North Africa",
11: "Sub-Saharan Africa",
12: "Australasia & Oceania"
}
result_x = [x for x in range(1970, 2017) if x != 1993]
result_y = []
for year in result_x:
# Prevent divided by zero
if len(data[(data['iyear'] == year)
& (data['region'] == region)]) == 0:
if test:
return
print("\nGraph can't generated!")
regions_main.main(data)
success = (len(data[
(data['success'] == 1) & (data['region'] == region) &
(data['iyear'] == year)]) / len(data[
(data['iyear'] == year) & (data['region'] == region)])) * 100
result_y.append(success)
# Initialize Line Chart
chart = pg.Line(x_labels_major_count=8,
show_minor_x_labels=False,
truncate_legend=40,
legend_at_bottom=True,
truncate_label=20,
value_formatter=lambda x: "%d%%" % x)
# Chart title
chart.title = 'Incidents success rate in ' + regions[
region] + ' from 1970 to 2016 except 1993 (in %)'
# X-Axis Label
chart.x_labels = [str(x) for x in result_x]
# Y-Axis and label
chart.add('Success rate (%)', result_y)
# Range of Y-Axis value
chart.range = [0, max(result_y) + 5]
# Save chart into file
filename = 'Charts/Region_Success_' + regions[region] + '.svg'
chart.render_to_file(filename)
# End of modules and return back to main
if test:
return
print("\nGraph generated!")
regions_main.main(data)