def draw_industry_is_cfs_bs_subplot(ax, df, x): width = 0.10 # cfs var stock_code = df['stock_code'] stock_name = df['stock_name_cfs'] bizcashinfl = df['bizcashinfl'] bizcashoutf = df['bizcashoutf'] mananetr = df['mananetr'] invcashinfl = df['invcashinfl'] invcashoutf = df['invcashoutf'] invnetcashflow = df['invnetcashflow'] fincashinfl = df['fincashinfl'] fincashoutf = df['fincashoutf'] finnetcflow = df['finnetcflow'] # is var t = df['enddate'] bti = df['biztotinco'] bi = df['bizinco'] inteinco = df['inteinco'] pouninco = df['pouninco'] otherbizinco = df['otherbizinco'] btc = df['biztotcost'] bc = df['bizcost'] pp = df['perprofit'] biztax = df['biztax'] salesexpe = df['salesexpe'] manaexpe = df['manaexpe'] finexpe = df['finexpe_is'] asseimpaloss = df['asseimpaloss'] inveinco = df['inveinco'] nonoreve = df['nonoreve'] nonoexpe = df['nonoexpe'] noncassetsdisl = df['noncassetsdisl'] incotaxexpe = df['incotaxexpe'] netprofit = df['netprofit_is'] # bs vars t = df['reportdate'] a = df['totalassets'] ca = df['totalcurrentassets'] la = df['totalnoncassets'] b = df['totliabsharequi'] cl = df['totalcurrliab'] ll = df['totalnoncliab'] l = df['totliab'] e = df['righaggr'] if x == 'stock_code': ind = np.arange(len(stock_name)) # the x locations for the groups else: ind = np.arange(len(t)) # bar1 inco # btib = ax.bar(ind, bti, width*8,color='silver') # bar 2 inco bar2_position = ind - width * 4 is_chart.draw_is_income_bar(ax, bar2_position, width * 6, bi, otherbizinco, inveinco, pouninco, inteinco) # bar 3 co # bar3_position=ind - 3 * width # rects3 = ax.bar(bar3_position, btc, width, bottom=pp,color='blue') # bar 4 co bar4_position = ind - 1.5 * width - width * 4 is_chart.draw_is_cost_bar(ax, bar4_position, width * 2, bc, biztax, salesexpe, manaexpe, finexpe, asseimpaloss, pp) # bar 6 co bar5_position = bar4_position is_chart.draw_is_net_profit_bar(ax, bar5_position, width, nonoreve, nonoexpe, noncassetsdisl, incotaxexpe, netprofit) # cfs bars bar6_position = ind + 1.5 * width - width * 4 cfs_chart.draw_cfs_biz_cash_bar(ax, bar6_position, width * 2, bizcashinfl, bizcashoutf, mananetr) # bs bars bs_position = ind bs_chart.draw_bs_bars(ax, bs_position, width, ca, la, cl, ll, e) ax.set_xticks(ind) font = FontProperties(fname=r"C:\\windows\\fonts\\simsun.ttc", size='xx-large') if x == 'stock_code': ax.set_xticklabels(stock_code + "_" + stock_name, size='xx-large', rotation=90, fontproperties=font) else: ax.set_xticklabels(t, size='xx-large', rotation=90, fontproperties=font) ax.legend(loc='upper left')
def draw_industry_is_cfs_bs_subplot(ax, df, x, str_stock_code=''): width = 0.10 # cfs var if str_stock_code == '': stock_code = df['stock_code'] stock_name = df['stock_name_cfs'] bizcashinfl = df['sub_total_of_ci_from_oa'] bizcashoutf = df['sub_total_of_cos_from_oa'] mananetr = df['ncf_from_oa'] invcashinfl = df['sub_total_of_ci_from_ia'] invcashoutf = df['sub_total_of_cos_from_ia'] invnetcashflow = df['ncf_from_ia'] fincashinfl = df['sub_total_of_ci_from_fa'] fincashoutf = df['sub_total_of_cos_from_fa'] finnetcflow = df['ncf_from_fa'] # is var t = df['report_date_str_is'] # bti = df['biztotinco'] sr = df['total_revenue'] inteinco = df['invest_income'] pouninco = df['exchg_gain'] otherbizinco = df['other_income'] # btc = df['biztotcost'] bc = df['operating_cost'] biztax = df['operating_taxes_and_surcharge'] salesexpe = df['sales_fee'] manaexpe = df['manage_fee'] finexpe = df['financing_expenses'] asseimpaloss = df['asset_impairment_loss'] inveinco = df['invest_income'] other_income = df['other_income'] finance_cost_interest_income = df['finance_cost_interest_income'] asset_disposal_income = df['asset_disposal_income'] rad_cost = df['rad_cost'] credit_impairment_loss = df['credit_impairment_loss'] # ------------- op = df['op'] nonoinco = df['non_operating_income'] nonopayo = df['non_operating_payout'] # noncassetsdisl = df['noncurrent_assets_dispose_gain'] # --------------- profit_total_amt = df['profit_total_amt'] incotaxexpe = df['income_tax_expenses'] netprofit = df['net_profit'] # bs vars t = df[x] a = df['total_assets'] ca = df['total_current_assets'] ar = df['account_receivable'] inventory = df['inventory'] la = df['total_noncurrent_assets'] goodwill = df['goodwill'] b = df['total_liab_and_holders_equity'] cl = df['total_current_liab'] ll = df['total_noncurrent_liab'] l = df['total_liab'] e = df['total_holders_equity'] shares = df['shares'] if x == 'stock_code': ind = np.arange(len(stock_name)) # the x locations for the groups else: ind = np.arange(len(t)) # bar1 inco # btib = ax.bar(ind, bti, width*8,color='silver') # bar 2 inco bar2_position = ind - width * 4 is_chart.draw_is_income_bar(ax, bar2_position, width * 6, sr, inveinco, finance_cost_interest_income, asset_disposal_income, other_income) # bar 3 co # bar3_position=ind - 3 * width # rects3 = ax.bar(bar3_position, btc, width, bottom=pp,color='blue') # bar 4 co bar4_position = ind - 1.5 * width - width * 4 is_chart.draw_is_cost_bar(ax, bar4_position, width * 2, bc, biztax, salesexpe, manaexpe, finexpe, rad_cost, asseimpaloss, credit_impairment_loss, op) # bar 6 profit total amount bar5_position = bar4_position is_chart.draw_is_net_profit_bar(ax, bar5_position, width, profit_total_amt, nonoinco, nonopayo, incotaxexpe, netprofit) # cfs bars bar6_position = ind + 1.5 * width - width * 4 cfs_chart.draw_cfs_biz_cash_bar(ax, bar6_position, width * 2, bizcashinfl, bizcashoutf, mananetr) # bs bars bs_position = ind bs_chart.draw_detailed_bs_bars(ax, bs_position, width, ca, ar, inventory, la, goodwill, cl, ll, e, shares) ax.set_xticks(ind) # font = FontProperties(fname=r"C:\\windows\\fonts\\simsun.ttc",size='xx-large') # if x=='stock_code': # ax.set_xticklabels(stock_code+"_"+stock_name, size='xx-large', rotation=90, fontproperties=font) # else: # ax.set_xticklabels(t, size='xx-large', rotation=90, fontproperties=font) if x == 'stock_code': ax.set_xticklabels(stock_code + "_" + stock_name, size='xx-large', rotation=90) else: ax.set_xticklabels(t, size='xx-large', rotation=90) ax.legend(loc='upper left')
def draw_industry_is_cfs_subplot(ax,df): width = 0.12 # cfs var stock_code = df['stock_code'] stock_name = df['stock_name_cfs'] bizcashinfl = df['bizcashinfl'] bizcashoutf = df['bizcashoutf'] mananetr = df['mananetr'] invcashinfl = df['invcashinfl'] invcashoutf = df['invcashoutf'] invnetcashflow = df['invnetcashflow'] fincashinfl = df['fincashinfl'] fincashoutf = df['fincashoutf'] finnetcflow = df['finnetcflow'] # is var t = df['enddate'] bti = df['biztotinco'] bi = df['bizinco'] inteinco = df['inteinco'] pouninco = df['pouninco'] otherbizinco = df['otherbizinco'] btc = df['biztotcost'] bc = df['bizcost'] pp = df['perprofit'] biztax = df['biztax'] salesexpe = df['salesexpe'] manaexpe = df['manaexpe'] finexpe = df['finexpe_is'] asseimpaloss = df['asseimpaloss'] inveinco = df['inveinco'] nonoreve = df['nonoreve'] nonoexpe = df['nonoexpe'] noncassetsdisl = df['noncassetsdisl'] incotaxexpe = df['incotaxexpe'] netprofit = df['netprofit_is'] ind = np.arange(len(t)) # the x locations for the groups # bar1 inco # btib = ax.bar(ind, bti, width*8,color='silver') # bar 2 inco bar2_position=ind is_chart.draw_is_income_bar(ax,bar2_position,width*6,bi,otherbizinco,inveinco,pouninco,inteinco) # bar 3 co # bar3_position=ind - 3 * width # rects3 = ax.bar(bar3_position, btc, width, bottom=pp,color='blue') # bar 4 co bar4_position=ind -1.5 * width is_chart.draw_is_cost_bar(ax, bar4_position, width * 2, bc, biztax, salesexpe, manaexpe, finexpe, asseimpaloss, pp) # bar 6 co bar5_position = bar4_position is_chart.draw_is_net_profit_bar(ax, bar5_position, width, nonoreve, nonoexpe, noncassetsdisl, incotaxexpe, netprofit) # cfs bars bar6_position=ind+1.5*width cfs_chart.draw_cfs_biz_cash_bar(ax, bar6_position, width * 2, bizcashinfl, bizcashoutf, mananetr) ax.set_xticks(ind ) font = FontProperties(fname=r"C:\\windows\\fonts\\simsun.ttc") ax.set_xticklabels(stock_name, size='small', rotation=90, fontproperties=font) ax.legend(loc='upper right')