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')