if year == 2010:
plt.ylabel('Percent of Total Expenditures')
handles.extend(handle_for_school)
except KeyError: ##School not in dataset for year
ax.axis('off')
ax.text(0.5,
0.5,
'Data not available\nfor {}'.format(str(year)),
fontsize=16,
horizontalalignment='center',
verticalalignment='center',
transform=ax.transAxes)
legend_corner = plt.subplot(3, 4, 12)
legend_corner.axis('off')
unique_handles = []
for patch in handles:
if patch.get_label() in handle_labels:
pass
else:
handle_labels.append(patch.get_label())
unique_handles.append(patch)
plt.legend(handles=unique_handles,
fontsize='medium',
loc='center',
title='Legend')
from check_data_and_ipython_call import try_call_function
try_call_function(school_dashboard)
plot_by_feature = ['total_enrollment', 'ell_percent', 'sped_percent', 'asian_per', 'black_per', 'hispanic_per', 'white_per', 'male_per', 'female_per', 'poverty_level', 'elementary_school', 'middle_school', 'high_school']
keys = [re.sub('_', ' ', x) for x in plot_by_feature]
keys = [re.sub('sped', 'Special Education', x) for x in keys]
keys = [re.sub('ell', 'English Language Learner', x) for x in keys]
keys = [re.sub('per$', 'percent', x) for x in keys]
keys = [x.title() for x in keys]
map_features_to_keys = dict(zip(plot_by_feature, keys))
return map_features_to_keys
def map_feature_to_key(self, feature):
'''
This function maps an input feature name to the corresponding human-readable, informative description produced
by make_labels_from_features.
'''
map_feature_to_keys = self.make_labels_from_features()
return map_feature_to_keys[feature]
def make_keys_for_interactive_widget(self):
'''
This function inverts the self.features_for_widgets dictionary (mapping values back to keys), so the dictionary
is in the format expected by the interactive widget.
'''
features=self.make_labels_from_features()
features = {v: k for k, v in features.items()}
return features
from check_data_and_ipython_call import try_call_function
try_call_function(pca_explorer)
horizontalalignment='center', verticalalignment='center', transform=ax.transAxes)
for year in range(2010, 2013):
ax = plt.subplot(3,4, year-2001)
ax.set_title(str(year))
try:
handle_for_school, school, compare = self.make_sub_plot(year, DBN)
if year == 2010:
plt.ylabel('Percent of Total Expenditures')
handles.extend(handle_for_school)
except KeyError: ##School not in dataset for year
ax.axis('off')
ax.text(0.5, 0.5,'Data not available\nfor {}'.format(str(year)), fontsize=16,
horizontalalignment='center', verticalalignment='center', transform=ax.transAxes)
legend_corner = plt.subplot(3,4,12)
legend_corner.axis('off')
unique_handles = []
for patch in handles:
if patch.get_label() in handle_labels:
pass
else:
handle_labels.append(patch.get_label())
unique_handles.append(patch)
plt.legend(handles=unique_handles, fontsize='medium', loc='center', title='Legend')
from check_data_and_ipython_call import try_call_function
try_call_function(school_dashboard)
'School Safety': 'School_Safety',
'Secretaries, School Aides, and Other Support Staff': 'Secretaries_School_Aides__Other_Support_Staff',
'Summer And Evening School': 'Summer_and_Evening_School',
'Supervisors': 'Supervisors',
'Leadership Supplies, Materials, Equipment, and Telephones': 'Supplies_Materials_Equipment_Telephones',
'Teachers': 'Teachers',
'Text Books': 'Text_Books',
'Total': 'Total',
'Transportation': 'Transportation'}
def build_groupby_dicts(self):
return {'Elementary School': 'elementary_school',
'High School': 'high_school',
'Middle School': 'middle_school',
'Percent Students Asian ': 'asian_per',
'Percent Students Black ': 'black_per',
'Percent Students English Language Learners': 'ell_percent',
'Percent Students Female ': 'female_per',
'Percent Students Hispanic ': 'hispanic_per',
'Percent Students Male ': 'male_per',
'Percent Students Special Education': 'sped_percent',
'Percent Students White ': 'white_per',
'Poverty Level': 'poverty_level',
'Title 1': 'Title_1',
'Total Enrollment': 'total_enrollment'}
from check_data_and_ipython_call import try_call_function
try_call_function(boxplot_comparisons)
'high_school'
]
keys = [re.sub('_', ' ', x) for x in plot_by_feature]
keys = [re.sub('sped', 'Special Education', x) for x in keys]
keys = [re.sub('ell', 'English Language Learner', x) for x in keys]
keys = [re.sub('per$', 'percent', x) for x in keys]
keys = [x.title() for x in keys]
map_features_to_keys = dict(zip(plot_by_feature, keys))
return map_features_to_keys
def map_feature_to_key(self, feature):
'''
This function maps an input feature name to the corresponding human-readable, informative description produced
by make_labels_from_features.
'''
map_feature_to_keys = self.make_labels_from_features()
return map_feature_to_keys[feature]
def make_keys_for_interactive_widget(self):
'''
This function inverts the self.features_for_widgets dictionary (mapping values back to keys), so the dictionary
is in the format expected by the interactive widget.
'''
features = self.make_labels_from_features()
features = {v: k for k, v in features.items()}
return features
from check_data_and_ipython_call import try_call_function
try_call_function(pca_explorer)
'Classroom_Instruction_All_Funds_percent_of_total',
'Field Support- Percent of Total':
'Field_Support_All_Funds_percent_of_total',
'Instructional Support And Administration- Percent of Total':
'Instructional_Support_and_Administration_All_Funds_percent_of_total',
'Instructional Support Services- Percent of Total':
'Instructional_Support_Srcs_All_Funds_percent_of_total',
'Leadership, Supervision, and Support- Percent of Total':
'LeadershipSupervisionSupport_All_Funds_percent_of_total',
'Other Field Support Costs- Percent of Total':
'Other_Field_Support_Costs_All_Funds_percent_of_total',
'Referral And Evaluation Services- Percent of Total':
'Referral_and_Evaluation_Services_All_Funds_percent_of_total',
'Total': 'Total'
}
return features
def features_for_labels(self, feature):
'''
This function inverts the self.features_for_widgets dictionary (mapping values back to keys), so the dictionary
is in the format expected by the interactive widget.
'''
features = self.features_for_interaction()
features = {v: k for k, v in features.items()}
return features[feature]
from check_data_and_ipython_call import try_call_function
try_call_function(NYC_school_interactive_map)
'''
This method can be called to get the dictionary mapping .
'''
features = {'Ancillary Support Services- Percent of Total': 'Ancillary_Support_Services_All_Funds_percent_of_total',
'Building Services- Percent of Total': 'Building_Services_All_Funds_percent_of_total',
'Central Administration- Percent of Total': 'Central_Administration_All_Funds_percent_of_total',
'Central Instructional Support- Percent of Total': 'Central_Instructional_Support_All_Funds_percent_of_total',
'Classroom Instruction- Percent of Total': 'Classroom_Instruction_All_Funds_percent_of_total',
'Field Support- Percent of Total': 'Field_Support_All_Funds_percent_of_total',
'Instructional Support And Administration- Percent of Total': 'Instructional_Support_and_Administration_All_Funds_percent_of_total',
'Instructional Support Services- Percent of Total': 'Instructional_Support_Srcs_All_Funds_percent_of_total',
'Leadership, Supervision, and Support- Percent of Total': 'LeadershipSupervisionSupport_All_Funds_percent_of_total',
'Other Field Support Costs- Percent of Total': 'Other_Field_Support_Costs_All_Funds_percent_of_total',
'Referral And Evaluation Services- Percent of Total': 'Referral_and_Evaluation_Services_All_Funds_percent_of_total',
'Total': 'Total'}
return features
def features_for_labels(self, feature):
'''
This function inverts the self.features_for_widgets dictionary (mapping values back to keys), so the dictionary
is in the format expected by the interactive widget.
'''
features=self.features_for_interaction()
features = {v: k for k, v in features.items()}
return features[feature]
from check_data_and_ipython_call import try_call_function
try_call_function(NYC_school_interactive_map)