from vbench.api import Benchmark from datetime import datetime common_setup = """from pandas_vb_common import * """ #---------------------------------------------------------------------- # lookup setup = common_setup + """ df = DataFrame(np.random.randn(10000, 8), columns=list('abcdefgh')) df['foo'] = 'bar' row_labels = list(df.index[::10])[:900] col_labels = list(df.columns) * 100 row_labels_all = list(df.index) * len(df.columns) col_labels_all = list(df.columns) * len(df.index) """ frame_fancy_lookup = Benchmark('df.lookup(row_labels, col_labels)', setup, start_date=datetime(2012, 1, 12)) frame_fancy_lookup_all = Benchmark('df.lookup(row_labels_all, col_labels_all)', setup, start_date=datetime(2012, 1, 12)) #---------------------------------------------------------------------- # fillna in place setup = common_setup + """ df = DataFrame(randn(10000, 100)) df.values[::2] = np.nan """ frame_fillna_inplace = Benchmark('df.fillna(0, inplace=True)', setup, start_date=datetime(2012, 4, 4)) #---------------------------------------------------------------------- # reindex both axes setup = common_setup + """ df = DataFrame(randn(1000, 1000)) idx = range(400, 700) """ frame_reindex_axis0 = Benchmark('df.reindex(idx)', setup) frame_reindex_axis1 = Benchmark('df.reindex(columns=idx)', setup) frame_reindex_both_axes = Benchmark('df.reindex(index=idx, columns=idx)', setup, start_date=datetime(2011, 1, 1)) frame_reindex_both_axes_ix = Benchmark('df.ix[idx, idx]', setup, start_date=datetime(2011, 1, 1)) #---------------------------------------------------------------------- # boolean indexing setup = common_setup + """ df = DataFrame(randn(10000, 100)) bool_arr = np.zeros(10000, dtype=bool) bool_arr[:1000] = True """ frame_boolean_row_select = Benchmark('df[bool_arr]', setup, start_date=datetime(2011, 1, 1))