# Copyright 2019-2020 The Lux Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from lux.vislib.altair.AltairChart import AltairChart
import altair as alt
alt.data_transformers.disable_max_rows()
from lux.utils.utils import get_agg_title
[docs]class LineChart(AltairChart):
"""
LineChart is a subclass of AltairChart that render as a line charts.
All rendering properties for line charts are set here.
See Also
--------
altair-viz.github.io
"""
[docs] def __init__(self, dobj):
super().__init__(dobj)
def __repr__(self):
return f"Line Chart <{str(self.vis)}>"
[docs] def initialize_chart(self):
self.tooltip = False # tooltip looks weird for line chart
x_attr = self.vis.get_attr_by_channel("x")[0]
y_attr = self.vis.get_attr_by_channel("y")[0]
x_attr_abv = str(x_attr.attribute)
y_attr_abv = str(y_attr.attribute)
if x_attr.timescale != "":
x_attr.data_type = "ordinal"
if y_attr.timescale != "":
y_attr.data_type = "ordinal"
if len(x_attr_abv) > 25:
x_attr_abv = x_attr.attribute[:15] + "..." + x_attr.attribute[-10:]
if len(y_attr_abv) > 25:
y_attr_abv = y_attr.attribute[:15] + "..." + y_attr.attribute[-10:]
if isinstance(x_attr.attribute, str):
x_attr.attribute = x_attr.attribute.replace(".", "")
if isinstance(y_attr.attribute, str):
y_attr.attribute = y_attr.attribute.replace(".", "")
# Remove NaNs only for Line Charts (offsets axis range)
self.data = self.data.dropna(subset=[x_attr.attribute, y_attr.attribute])
self.code += "import altair as alt\n"
self.code += "from pandas import Timestamp\n"
self.code += f"visData = pd.DataFrame({str(self.data.to_dict())})\n"
if y_attr.data_model == "measure":
agg_title = get_agg_title(y_attr)
x_attr_spec = alt.X(
str(x_attr.attribute), type=x_attr.data_type, axis=alt.Axis(title=x_attr_abv)
)
y_attr_spec = alt.Y(
str(y_attr.attribute),
type=y_attr.data_type,
title=agg_title,
axis=alt.Axis(title=y_attr_abv),
)
x_attr_field_code = f"alt.X('{x_attr.attribute}', type = '{x_attr.data_type}', axis=alt.Axis(title='{x_attr_abv}'))"
y_attr_field_code = f"alt.Y('{y_attr.attribute}', type= '{y_attr.data_type}', title='{agg_title}', axis=alt.Axis(title='{y_attr_abv}'))"
else:
agg_title = get_agg_title(x_attr)
x_attr_spec = alt.X(
str(x_attr.attribute),
type=x_attr.data_type,
title=agg_title,
axis=alt.Axis(title=x_attr_abv),
)
y_attr_spec = alt.Y(
str(y_attr.attribute), type=y_attr.data_type, axis=alt.Axis(title=y_attr_abv)
)
x_attr_field_code = f"alt.X('{x_attr.attribute}', type = '{x_attr.data_type}', title='{agg_title}', axis=alt.Axis(title='{x_attr_abv}'))"
y_attr_field_code = f"alt.Y('{y_attr.attribute}', type= '{y_attr.data_type}', axis=alt.Axis(title='{y_attr_abv}'))"
self.data = AltairChart.sanitize_dataframe(self.data)
chart = alt.Chart(self.data).mark_line().encode(x=x_attr_spec, y=y_attr_spec)
chart = chart.interactive() # Enable Zooming and Panning
self.code += f"""
chart = alt.Chart(visData).mark_line().encode(
y = {y_attr_field_code},
x = {x_attr_field_code},
)
chart = chart.interactive() # Enable Zooming and Panning
"""
return chart