import numpy as np
from am4894pd.utils import df_dummy_ts # used to generate some dummy data
from am4894plots.plots import plot_hists, plot_boxes
# generate some dummy time series data
df = df_dummy_ts(n_cols=4, freq='1min')
df['dim1'] = np.random.choice(['A','B'],len(df))
print(df.shape)
display(df.head())
(1342, 5)
| col0 | col1 | col2 | col3 | dim1 | |
|---|---|---|---|---|---|
| time | |||||
| 2019-01-01 01:39:00 | -0.104941 | -0.043834 | -0.003645 | 0.158883 | B |
| 2019-01-01 01:40:00 | -0.109494 | -0.032217 | 0.015735 | 0.162104 | A |
| 2019-01-01 01:41:00 | -0.090573 | -0.029916 | 0.011437 | 0.168006 | B |
| 2019-01-01 01:42:00 | -0.122065 | -0.003902 | 0.032757 | 0.160433 | A |
| 2019-01-01 01:43:00 | -0.107243 | 0.008204 | 0.033165 | 0.170859 | B |
plot_hists(df, n_cols=2, renderer='notebook', h=600, w=600, cumulative=True)