def make_hex_svg(self, output_fname, show=False, draw_text=False):
""" Outputs an SVG file of the hexgrid
output_fname: the outputfilepath
show: whether or not the output should be displayed in the ipython notebook
draw_text: whether or not the id_col text should be drawn on the map
"""
self._initialize_grid()
self._populate_new_grid()
cg = Chorogrid(self.df,
self.df[self.index_col].tolist(),
['#eeeeee'] * len(self.df),
id_column=self.index_col)
cg.draw_hex(draw_text=draw_text)
cg.done(save_filename=output_fname, show=show)
return
def make_hex_svg(self, output_fname=None, show=False, draw_text=False):
""" Outputs an SVG file of the hexgrid
output_fname: the outputfilepath
show: whether or not the output should be displayed in the ipython notebook
draw_text: whether or not the id_col text should be drawn on the map
"""
if "/" in output_fname and not os.path.isdir(
output_fname[:output_fname.rfind('/')]
): #check if outputfilepath directory exists
raise IOError('The directory specified does not exist')
self._initialize_grid()
self._populate_new_grid()
cg = Chorogrid(self.df,
self.df[self.index_col].tolist(),
['#eeeeee'] * len(self.df),
id_column=self.index_col)
cg.draw_hex(draw_text=draw_text)
cg.done(save_filename=output_fname, show=show)
self.total_width = cg.total_width
self.total_height = cg.total_height
self.svgstring = cg.svgstring
return
mycolors = ['#e0e9f0', '#c1d4e2', '#a3bed4', '#84a9c6','#6694b8', '#517693', '#3d586e']
mybin = Colorbin(df['percentage'], mycolors, proportional=True, decimals=None)
mybin.set_decimals(1)
mybin.recalc(fenceposts=True)
mybin.fenceposts
mybin.calc_complements(0.5, '#e0e0e0', '#101010')
states = list(df.index)
colors_by_state = mybin.colors_out
font_colors_by_state = mybin.complements
legend_colors = mybin.colors_in
legend_labels = mybin.labels
cg = Chorogrid('chorogrid/databases/usa_states.csv', states, colors_by_state)
cg.set_title('Number of P2P Loans Normalized by State Population', font_dict={'font-size': 16})
cg.set_legend(legend_colors, legend_labels, title='# of Loans scaled by population')
cg.draw_hex(spacing_dict={'margin_right': 210}, font_colors=font_colors_by_state)
cg.done(show=True)
# 1.2 number of loans issued by states - choropleth map
df = listings.groupby(['BorrowerState']).ListingAmountFunded.count()
mycolors = ['#e0e9f0', '#c1d4e2', '#a3bed4', '#84a9c6','#6694b8', '#517693', '#3d586e']
mybin = Colorbin(df, mycolors, proportional=True, decimals=None)
mybin.set_decimals(1)
mybin.recalc(fenceposts=True)
mybin.fenceposts
mybin.calc_complements(0.5, '#e0e0e0', '#101010')
states = list(df.index)
colors_by_state = mybin.colors_out
font_colors_by_state = mybin.complements
legend_colors = mybin.colors_in
