In [14]:
import matplotlib.pyplot as plt
#%matplotlib widget
%matplotlib inline
# CNet timeline https://www.cnet.com/news/privacy/huawei-ban-timeline-detained-cfo-makes-deal-with-us-justice-department/
ax = pf.plot.area(x='month', stacked=True)
#plt.stackplot(pf['month'], pf['Business'],pf['Security'],pf['Politics'],pf['Allies'],pf['Technology'], labels=['Bus','B','C'])
ymin, ymax = plt.ylim()
TEN_PERC = round( ymax * 0.10)
THREE_PERC = round( ymax * 0.03)
TOP_LABEL = ymax - TEN_PERC
MID_LABEL = round( ymax / 2 ) + TEN_PERC
LOW_LABEL = ymin + THREE_PERC
print( TOP_LABEL )
# Ban dates for all the five eyes
dd = {'2022-05-17':('CA',''),'2018-07-11':('AU',''),"2019-05-15":('US','r'),"2020-07-14":('UK','')}
for dt, i in dd.items():
align_dir = "right" if i[1] != 'r' else 'left'
ax.axvline( pd.to_datetime(dt), color='black', linestyle=':', lw=1, alpha=0.5) # Canada
ax.annotate(f' {i[0]} \n ban ', xy=(dt, TOP_LABEL ) ,horizontalalignment=align_dir, fontsize=10 )
# Australia events
if COUNTRY2 in ['AU','CA','US','UK']:
ax.axvline( pd.to_datetime('2021-09-24'), color='black', linestyle=':', lw=1) # Canada 2Michaels returned
ax.annotate(' Two\n Michaels\n Return', xy=('2021-09-24', MID_LABEL) )
ax.axvline( pd.to_datetime('2018-12-01'), color='white', linestyle='--', lw=1) # Canada Meng Wanzhou arrested
ax.annotate(' Huawei\n CFO\n arrested', xy=('2018-12-01', LOW_LABEL), color='white', fontweight='bold' )
# UK events
if COUNTRY2 in ['UK','CA','US','NZ']:
ax.axvline( pd.to_datetime('2020-01-28'), color='red', linestyle=':', lw=1 , alpha=0.5) # UK Allows Huawei to build network
ax.annotate(' UK to \n allow \n Huawei ', xy=('2020-01-28', MID_LABEL), color='red', horizontalalignment='right' )
# Jan. 29, 2020 - Europe allows Huawei for 5G through security guidelines
ax.axvline( pd.to_datetime('2020-01-29'), color='red', linestyle=':', lw=1, alpha=0.5) # Jan. 29, 2020 - Europe allows Huawei for 5G through security guidelines
ax.annotate(' EU to \n allow \n Huawei ', xy=('2020-01-29', TOP_LABEL*.85), color='red' ,horizontalalignment='right' )
# Feb 11, 2020 - US finds Huawei has backdoor access to mobile networks globally, report says
ax.axvline( pd.to_datetime('2020-02-11'), color='red', linestyle=':', lw=1, alpha=0.5) # Feb 11, 2020 - US finds Huawei has backdoor access to mobile networks globally, report says
ax.annotate(' Huawei \n backdoors \n found ', xy=('2020-02-11', MID_LABEL), color='red' )
if COUNTRY2 != 'NZ':
ax.axvline( pd.to_datetime('2020-03-10'), color='white', linestyle='--', lw=1) # UK MP rebellion
ax.annotate(' UK\n MPs \n lose \n vote', xy=('2020-03-10', LOW_LABEL), color='white', fontweight='bold' )
# US events
if COUNTRY2 in ['US','CA','AU']:
# Nov 22, 2019 - Huawei banned from US subsidies
#ax.axvline( pd.to_datetime('2019-11-22'), color='red', linestyle=':', lw=1, alpha=0.5) # Jan. 29, 2020 - Europe allows Huawei for 5G through security guidelines
#ax.annotate(' US \n subsidies \n ban ', xy=('2019-11-22', TOP_LABEL*.85), color='red' ,horizontalalignment='right' )
ax.fill_between(['2019-10-16', '2020-02-11'], [ymax,ymax], color='gray', alpha=0.2) # ratcheting up of tensions
ax.axvline( pd.to_datetime('2020-12-04'), color='red', linestyle=':', lw=1) # US deal to release Meng?
ax.annotate(' Trump \n alludes to \n release of \n Huawei \n CFO ', xy=('2020-12-04', MID_LABEL), color='red' , horizontalalignment='left' )
# AU events
if COUNTRY2 in ["AU"]:
ax.axvline( pd.to_datetime('2018-08-27'), color='red', linestyle=':', lw=1) # Turnbull resigns
ax.annotate(' Turnbull\n resigns ', xy=('2018-08-24', (TOP_LABEL*0.9)), color='red' )
ax.axvline( pd.to_datetime('2018-06-06'), color='red', linestyle=':', lw=1) # FB shared data with Huawei scandal
ax.annotate(' FB \n shares \n data ', xy=('2018-06-06', MID_LABEL), color='red', horizontalalignment='right' )
# UK announces to allow Huawei into network before backpedalling
ax.axvline( pd.to_datetime('2020-02-28'), color='red', linestyle=':', lw=1) # UK Allows Huawei to build network
ax.annotate(' UK \n allows \n Huawei ', xy=('2020-02-28', MID_LABEL), color='red' , horizontalalignment='right' )
# NZ events
if COUNTRY2 == "NZ":
# https://www.sparknz.co.nz/news/GCSB_declines_Spark_proposal_Huawei/
ax.axvline( pd.to_datetime('2018-11-28'), color='white', linestyle='--', lw=1, alpha=1) # GCSB blocks use of Huawei by Spark
ax.annotate(' GCSB \n block ', xy=('2018-11-28', LOW_LABEL*.5), color='white', horizontalalignment='right',fontsize=10, weight='bold' )
# https://www.stuff.co.nz/business/112486350/huawei-nz-we-know-the-rumours-gossip-and-innuendo-about-us?rm=m
ax.axvline( pd.to_datetime('2019-05-06'), color='white', linestyle='--', lw=1) # Huawei PR
ax.annotate(' Huawei \n PR ', xy=('2019-05-06', 40), color='white', weight='bold' )
# Reports of NZ tensions with China
ax.axvline( pd.to_datetime('2019-02-12'), color='white', linestyle='--', lw=1) #
ax.annotate(' NZ-China \n tension ',
bbox=dict(boxstyle="round", fc="1"), # foreground color?
xytext=('2019-01-01', MID_LABEL*1.25),
color='black', horizontalalignment='right',
xy=('2019-02-12', 400),
arrowprops=dict(
arrowstyle="->",
#connectionstyle="bar",
connectionstyle="arc",
#ec="k",
shrinkA=0, shrinkB=5
)
)
plt.legend(loc='center left', bbox_to_anchor=(1.0, 0.5))
plt.title(f'Themes about Huawei discussed over time ({COUNTRY2})')
plt.xlabel('Date')
plt.ylabel('Theme discussed')
import matplotlib
fig = matplotlib.pyplot.gcf()
fig.set_size_inches(7.5, 5)
plt.savefig(f'stacked_area_{COUNTRY2}.pdf', bbox_inches='tight') # saves the current figure
plt.show()
10500.599999999999
