How to use the retentioneering.visualization.plot.bar function in retentioneering
To help you get started, we’ve selected a few retentioneering examples, based on popular ways it is used in public projects.
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retentioneering / retentioneering-tools / retentioneering / core / utils.py View on Github 
f_next = self._obj['next_event'] == event_order[1]
s_next = self._obj[f_cur & f_next].copy()
s_cur = self._obj[f_cur & (~f_next)].copy()
s_cur.time_diff[s_cur.time_diff < limit].hist(alpha=0.5, log=True,
bins=bins, label='Others {:.2f}'.format(
(s_cur.time_diff < limit).sum() / f_cur.sum()
))
s_next.time_diff[s_next.time_diff < limit].hist(alpha=0.7, log=True,
bins=bins,
label='Selected event order {:.2f}'.format(
(s_next.time_diff < limit).sum() / f_cur.sum()
))
plot.sns.mpl.pyplot.legend()
plot.sns.mpl.pyplot.show()
(s_cur.next_event.value_counts() / f_cur.sum()).iloc[:topk].plot.bar()retentioneering
Retentioneering is a Python library that makes analyzing clickstreams, user paths (trajectories), and event logs much easier, and yields much broader and deeper insights than funnel analysis. You can use Retentioneering to explore user behavior, segment users, and form hypotheses about what drives users to desirable actions or to churning away from a product.
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50 / 100Popular retentioneering functions
- retentioneering.core.clustering
- retentioneering.core.clustering.aggregate_cl
- retentioneering.core.clustering.homogeneity_score
- retentioneering.core.feature_extraction
- retentioneering.core.feature_extraction.learn_tsne
- retentioneering.core.model.__LogRegWrapper__
- retentioneering.core.preprocessing
- retentioneering.core.preprocessing.split_sessions
- retentioneering.core.preprocessing.weight_by_mechanics
- retentioneering.core.simulator.Agent
- retentioneering.core.utils.BaseDataset
- retentioneering.core.utils.BaseTrajectory
- retentioneering.visualization.cloud_logger.MongoLoader
- retentioneering.visualization.funnel.funnel_chart
- retentioneering.visualization.plot
- retentioneering.visualization.plot.___FigureWrapper__
- retentioneering.visualization.plot.bar
- retentioneering.visualization.plot.graph
- retentioneering.visualization.plot.step_matrix