ax.legend()
for t in ax.get_xticklabels():
t.set_fontsize(16)
for t in ax.get_yticklabels():
t.set_fontsize(16)
fig.autofmt_xdate()
#fig.savefig('images/plot_fake_timeseries_aftershave.svg',bbox_inches='tight', pad_inches=0.5)
print('')
print('timestamps.describe(df.ts,df.data):')
print(timestamps.describe(df.ts, df.data))
print('')
print('timestamps.cut(df.ts,df.data,min_hole_duration=2):')
time_series=timestamps.cut(df.ts, df.data, min_hole_duration=2)
print(time_series)
j=0
for df in time_series:
j+=1
fig, ax = plt.subplots(figsize=(10,5))
ax.plot(df.ts,df.data,'-o',lw=2)
ax.set_xlabel('ts',fontsize=20)
ax.set_ylabel('data',fontsize=20)
ax.legend()
ax.set_xlim([df_initial.ts.values[0],df_initial.ts.values[-1]])
ax.set_ylim([-1.5,1.5])
for t in ax.get_xticklabels():
t.set_fontsize(16)
for t in ax.get_yticklabels():
#ax.set_ylabel('data',fontsize=20)
#ax.legend()
#for t in ax.get_xticklabels():
# t.set_fontsize(16)
#for t in ax.get_yticklabels():
# t.set_fontsize(16)
#fig.autofmt_xdate()
##fig.savefig('images/plot_fake_timeseries_aftershave.svg',bbox_inches='tight', pad_inches=0.5)
print('')
print('timestamps.describe(df):')
print(timestamps.describe(df))
print('')
print('time_series = timestamps.cut(df,min_hole_duration=2):')
time_series = timestamps.cut(df, min_hole_duration=2)
print(time_series)
j = 0
for df in time_series:
j += 1
# fig, ax = plt.subplots(figsize=(10,5))
# ax.plot(df.ts,df.data,'-o',lw=2)
# ax.set_xlabel('ts',fontsize=20)
# ax.set_ylabel('data',fontsize=20)
# ax.legend()
# ax.set_xlim([df_initial.ts.values[0],df_initial.ts.values[-1]])
# ax.set_ylim([-1.5,1.5])
# for t in ax.get_xticklabels():
# t.set_fontsize(16)
# for t in ax.get_yticklabels():
#ax.legend()
#for t in ax.get_xticklabels():
# t.set_fontsize(16)
#for t in ax.get_yticklabels():
# t.set_fontsize(16)
#fig.autofmt_xdate()
##fig.savefig('images/plot_fake_timeseries_aftershave.svg',bbox_inches='tight', pad_inches=0.5)
print('')
print('timestamps.describe(df):')
print(timestamps.describe(df))
print('')
print('time_series = timestamps.cut(df,min_hole_duration=2):')
time_series=timestamps.cut(df, min_hole_duration=2)
print(time_series)
j=0
for df in time_series:
j+=1
# fig, ax = plt.subplots(figsize=(10,5))
# ax.plot(df.ts,df.data,'-o',lw=2)
# ax.set_xlabel('ts',fontsize=20)
# ax.set_ylabel('data',fontsize=20)
# ax.legend()
# ax.set_xlim([df_initial.ts.values[0],df_initial.ts.values[-1]])
# ax.set_ylim([-1.5,1.5])
# for t in ax.get_xticklabels():
# t.set_fontsize(16)
# for t in ax.get_yticklabels():
