Lines Matching refs:df
58 df = self._dfg_trace_event('sched_energy_diff')
63 df = df[df['comm'].isin(tasks)]
69 df = df[abs(df['usage_delta']) >= min_usage_delta]
73 df = df[abs(df['usage_delta']) <= max_usage_delta]
79 df = df[abs(df['cap_delta']) >= min_cap_delta]
83 df = df[abs(df['cap_delta']) <= max_cap_delta]
89 df = df[abs(df['nrg_delta']) >= min_nrg_delta]
93 df = df[abs(df['nrg_delta']) <= max_nrg_delta]
99 df = df[abs(df['nrg_diff']) >= min_nrg_diff]
103 df = df[abs(df['nrg_diff']) <= max_nrg_diff]
117 df[['src_cpu', 'dst_cpu']].plot(ax=axes, style=['bo', 'r+'])
132 subset = df[df.nrg_payoff_group == label]
147 subset = df[df.nrg_payoff_group == label]
161 df[['nrg_delta', 'nrg_diff_pct']].plot(ax=axes, style=['ro', 'b+'])
179 df[['usage_delta']].hist(ax=axes, bins=60)
181 df[['cap_delta']].hist(ax=axes, bins=60)
183 df[['nrg_delta']].hist(ax=axes, bins=60)
202 df = self._dfg_trace_event('sched_energy_diff')
207 df = df[df['comm'].isin(tasks)]
213 df = df[abs(df['usage_delta']) >= min_usage_delta]
217 df = df[abs(df['usage_delta']) <= max_usage_delta]
223 df = df[abs(df['cap_delta']) >= min_cap_delta]
227 df = df[abs(df['cap_delta']) <= max_cap_delta]
233 df = df[abs(df['nrg_delta']) >= min_nrg_delta]
237 df = df[abs(df['nrg_delta']) <= max_nrg_delta]
243 df = df[abs(df['nrg_diff']) >= min_nrg_diff]
247 df = df[abs(df['nrg_diff']) <= max_nrg_diff]
256 x_min = df.nrg_diff_pct.min()
257 x_max = df.nrg_diff_pct.max()
258 y_min = df.cap_delta.min()
259 y_max = df.cap_delta.max()
264 # ccol = df.usage_delta
265 # df['usage_delta_group'] = np.select(
270 # ccol = df.nrg_payoff
271 # df['nrg_payoff_group'] = np.select(
280 subset = df[df.usage_delta_group == label]
319 subset = df[df.nrg_payoff_group == label]
