def main(data, target):
""" Main generate function get data and target id """
years = [x for x in range(1970, 2017) if x != 1993]
per_cent = []
targets = {1: "Business", 2: "Government (General)", 3: "Police", 4: "Military", 5: "Abortion Related",
6: "Airports & Aircraft", 7: "Government (Diplomatic)", 8: "Educational Institution", 9: "Food or Water Supply",
10: "Journalists & Media", 11: "Maritime", 12: "NGO", 13: "Other", 14: "Private Citizen & Property",
15: "Religious", 16: "Telecommunication", 17: "Terrorists/Non-State Militias", 18: "Tourists",
19: "Transportation", 20: "Unknown", 21: "Utilities", 22: "Violent Political Parties"}
for year in years:
frequency_in_target = len(data[(data['targtype1'] == target) & (data['iyear'] == year)])
frequency = frequency_in_target
per_cent.append(frequency)
# Graph generate goes here!
chart = pygal.Line(x_labels_major_count=8, show_minor_x_labels=False, truncate_legend=40, legend_at_bottom=True, truncate_label=20)
chart.title = 'Frequency of %s from 1970 to 2016 (Except 1993)' %(targets[target])
chart.x_labels = [str(x) for x in years]
chart.add('Frequency (Time)', per_cent)
# Export file name as Targets_Frequency_<target_id>
chart.render_to_file('Targets_Frequency_%s.svg' %target)
pd.set_option('display.expand_frame_repr', False)
pd.set_option('display.max_rows', None)
print("\nGraph generated!\n")
# End of modules and return back to main
targets_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 Targets_Frequency_Overall
targets = {
1: "Business",
2: "Government (General)",
3: "Police",
4: "Military",
5: "Abortion Related",
6: "Airports & Aircraft",
7: "Government (Diplomatic)",
8: "Educational Institution",
9: "Food or Water Supply",
10: "Journalists & Media",
11: "Maritime",
12: "NGO",
13: "Other",
14: "Private Citizen & Property",
15: "Religious",
16: "Telecommunication",
17: "Terrorists/Non-State Militias",
18: "Tourists",
19: "Transportation",
20: "Unknown",
21: "Utilities",
22: "Violent Political Parties"
}
result_x = [targets[x] for x in sorted(targets)]
result_y = []
for x in sorted(targets):
freq = len(data[data['targtype1'] == 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 by target categories from 1970 to 2016 except 1993'
for x in range(22):
chart.add(result_x[x] + " (" + str(result_y[x]) + ")", result_y[x])
chart.render_to_file('Charts/Targets_Frequency_Overall.svg')
# End of modules and return back to main
if test:
return
print("\nGraph generated!")
targets_main.main(data)
def main(data, target, test=False):
""" Main generate function get data and target id """
# Initialize year list
years = [x for x in range(1970, 2017) if x != 1993]
# Initialize frequency list
freq = []
# Initialize targets list
targets = {
1: "Business",
2: "Government (General)",
3: "Police",
4: "Military",
5: "Abortion Related",
6: "Airports & Aircraft",
7: "Government (Diplomatic)",
8: "Educational Institution",
9: "Food or Water Supply",
10: "Journalists & Media",
11: "Maritime",
12: "NGO",
13: "Other",
14: "Private Citizen & Property",
15: "Religious",
16: "Telecommunication",
17: "Terrorists or Non-State Militias",
18: "Tourists",
19: "Transportation",
20: "Unknown",
21: "Utilities",
22: "Violent Political Parties"
}
# Calculate result
for year in years:
frequency = len(data[(data['targtype1'] == target)
& (data['iyear'] == year)])
freq.append(frequency)
# Graph generate goes here!
chart = pygal.Line(x_labels_major_count=8,
show_minor_x_labels=False,
truncate_legend=40,
legend_at_bottom=True,
truncate_label=20)
# Set chart title
chart.title = 'Frequency of %s from 1970 to 2016 (Except 1993)' % (
targets[target])
# Set label
chart.x_labels = [str(x) for x in years]
# Add data
chart.add('Frequency (Times)', freq)
# Export file name as Targets_Frequency_<target_id>
chart.render_to_file('Charts/Targets_Frequency_%s.svg' % targets[target])
# End of modules and return back to main
if test:
return
print("\nGraph generated!\n")
targets_main.main(data)
def menu_targets(data):
""" Main menu of targets """
targets.main(data)
def main(data, target, test=False):
""" Main generate function get data and target id """
# Initialize year list
years = [x for x in range(1970, 2017) if x != 1993]
# Initialize percent list
per_cent = []
# Initialize targets list
targets = {
1: "Business",
2: "Government (General)",
3: "Police",
4: "Military",
5: "Abortion Related",
6: "Airports & Aircraft",
7: "Government (Diplomatic)",
8: "Educational Institution",
9: "Food or Water Supply",
10: "Journalists & Media",
11: "Maritime",
12: "NGO",
13: "Other",
14: "Private Citizen & Property",
15: "Religious",
16: "Telecommunication",
17: "Terrorists or Non-State Militias",
18: "Tourists",
19: "Transportation",
20: "Unknown",
21: "Utilities",
22: "Violent Political Parties"
}
# Calculate result
for year in years:
# Count which success
success_in_target = len(
data[(data['targtype1'] == target) & (data['success'] == 1) &
(data['iyear'] == year)])
# Count all
success_all = len(data[(data['success'] == 1)
& (data['iyear'] == year)])
# Prevent divided by zero
if success_all == 0:
if test:
return
print("\nGraph can't generated!")
targets_main.main(data)
# Calculate success rate
success = round((success_in_target / success_all) * 100, 2)
# Add success rate into list
per_cent.append(success)
# Graph generate goes here!
chart = pygal.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: "%.2f%%" % x)
# Add title into chart
chart.title = 'Success Rate of %s from 1970 to 2016 (Except 1993) (in percent)' % (
targets[target])
# Add label into chart
chart.x_labels = [str(x) for x in years]
# Add data into chart
chart.add('Success Rate (%)', per_cent)
# Export file name as Target_Success_<target_id>
chart.render_to_file('Charts/Targets_Success_%s.svg' % targets[target])
# End of modules and return back to main
if test:
return
print("\nGraph generated!\n")
targets_main.main(data)
def victims(data, test=False):
""" Horizontal Bar chart show highest Victim in categories """
targets = {
1: "Business",
2: "Government (General)",
3: "Police",
4: "Military",
5: "Abortion Related",
6: "Airports & Aircraft",
7: "Government (Diplomatic)",
8: "Educational Institution",
9: "Food or Water Supply",
10: "Journalists & Media",
11: "Maritime",
12: "NGO",
13: "Other",
14: "Private Citizen & Property",
15: "Religious",
16: "Telecommunication",
17: "Terrorists/Non-State Militias",
18: "Tourists",
19: "Transportation",
20: "Unknown",
21: "Utilities",
22: "Violent Political Parties"
}
result_x = [targets[x] for x in sorted(targets)]
result_y = []
for x in sorted(targets):
maximum = max(data[data['targtype1'] == x]['nkill'])
if isnan(maximum):
result_y.append(0)
continue
freq = data[(data['targtype1'] == x)
& (data['nkill'] == maximum)].nkill.values[0]
result_y.append(freq)
# Initialize Line Chart
chart = pygal.HorizontalBar(x_labels_major_count=8,
show_minor_x_labels=False,
truncate_legend=40,
truncate_label=20)
# Chart title
chart.title = 'Compare the most victims incident by targets'
# X-Axis Label
chart.x_labels = []
# Y-Axis and label
for i in range(22):
if result_y == 0:
continue
chart.add(result_x[i], result_y[i])
# Save chart into file
filename = 'Charts/Targets_Compare_Maximum_Victims.svg'
chart.render_to_file(filename)
# End of modules and return back to main
if test:
return
print("\nGraph generated!")
targets_main.main(data)