def plot_histogram(data: Union["ps.DataFrame", "ps.Series"], **kwargs):
import plotly.graph_objs as go
bins = kwargs.get("bins", 10)
kdf, bins = HistogramPlotBase.prepare_hist_data(data, bins)
assert len(bins) > 2, "the number of buckets must be higher than 2."
output_series = HistogramPlotBase.compute_hist(kdf, bins)
prev = float("%.9f" % bins[0]) # to make it prettier, truncate.
text_bins = []
for b in bins[1:]:
norm_b = float("%.9f" % b)
text_bins.append("[%s, %s)" % (prev, norm_b))
prev = norm_b
text_bins[
-1] = text_bins[-1][:-1] + "]" # replace ) to ] for the last bucket.
bins = 0.5 * (bins[:-1] + bins[1:])
output_series = list(output_series)
bars = []
for series in output_series:
bars.append(
go.Bar(
x=bins,
y=series,
name=name_like_string(series.name),
text=text_bins,
hovertemplate=("variable=" + name_like_string(series.name) +
"<br>value=%{text}<br>count=%{y}"),
))
fig = go.Figure(data=bars, layout=go.Layout(barmode="stack"))
fig["layout"]["xaxis"]["title"] = "value"
fig["layout"]["yaxis"]["title"] = "count"
return fig
def plot_histogram(data: Union["ps.DataFrame", "ps.Series"], **kwargs):
import plotly.graph_objs as go
import pyspark.pandas as ps
bins = kwargs.get("bins", 10)
y = kwargs.get("y")
if y and isinstance(data, ps.DataFrame):
# Note that the results here are matched with matplotlib. x and y
# handling is different from pandas' plotly output.
data = data[y]
psdf, bins = HistogramPlotBase.prepare_hist_data(data, bins)
assert len(bins) > 2, "the number of buckets must be higher than 2."
output_series = HistogramPlotBase.compute_hist(psdf, bins)
prev = float("%.9f" % bins[0]) # to make it prettier, truncate.
text_bins = []
for b in bins[1:]:
norm_b = float("%.9f" % b)
text_bins.append("[%s, %s)" % (prev, norm_b))
prev = norm_b
text_bins[
-1] = text_bins[-1][:-1] + "]" # replace ) to ] for the last bucket.
bins = 0.5 * (bins[:-1] + bins[1:])
output_series = list(output_series)
bars = []
for series in output_series:
bars.append(
go.Bar(
x=bins,
y=series,
name=name_like_string(series.name),
text=text_bins,
hovertemplate=("variable=" + name_like_string(series.name) +
"<br>value=%{text}<br>count=%{y}"),
))
layout_keys = inspect.signature(go.Layout).parameters.keys()
layout_kwargs = {k: v for k, v in kwargs.items() if k in layout_keys}
fig = go.Figure(data=bars, layout=go.Layout(**layout_kwargs))
fig["layout"]["barmode"] = "stack"
fig["layout"]["xaxis"]["title"] = "value"
fig["layout"]["yaxis"]["title"] = "count"
return fig
def _compute_plot_data(self):
self.data, self.bins = HistogramPlotBase.prepare_hist_data(
self.data, self.bins)