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():