def plot_kde(data: Union["ps.DataFrame", "ps.Series"], **kwargs):
from plotly import express
import pyspark.pandas as ps
if isinstance(data, ps.DataFrame) and "color" not in kwargs:
kwargs["color"] = "names"
kdf = KdePlotBase.prepare_kde_data(data)
sdf = kdf._internal.spark_frame
data_columns = kdf._internal.data_spark_columns
ind = KdePlotBase.get_ind(sdf.select(*data_columns),
kwargs.pop("ind", None))
bw_method = kwargs.pop("bw_method", None)
pdfs = []
for label in kdf._internal.column_labels:
pdfs.append(
pd.DataFrame({
"Density":
KdePlotBase.compute_kde(
sdf.select(kdf._internal.spark_column_for(label)),
ind=ind,
bw_method=bw_method,
),
"names":
name_like_string(label),
"index":
ind,
}))
pdf = pd.concat(pdfs)
fig = express.line(pdf, x="index", y="Density", **kwargs)
fig["layout"]["xaxis"]["title"] = None
return fig
def _compute_plot_data(self):
self.data = KdePlotBase.prepare_kde_data(self.data)