# 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.matplotlib.MatplotlibChart import MatplotlibChart
from lux.utils.utils import get_agg_title
import pandas as pd
import numpy as np
import math
import matplotlib.pyplot as plt
from lux.utils.utils import matplotlib_setup
from matplotlib.cm import ScalarMappable
from lux.utils.date_utils import compute_date_granularity
from matplotlib.ticker import MaxNLocator
import lux
[docs]class BarChart(MatplotlibChart):
"""
BarChart is a subclass of MatplotlibChart that render as a bar charts.
All rendering properties for bar charts are set here.
See Also
--------
matplotlib.org
"""
def __init__(self, dobj, fig, ax):
super().__init__(dobj, fig, ax)
def __repr__(self):
return f"Bar Chart <{str(self.vis)}>"
[docs] def initialize_chart(self):
self.tooltip = False
x_attr = self.vis.get_attr_by_channel("x")[0]
y_attr = self.vis.get_attr_by_channel("y")[0]
# Deal with overlong string axes labels
x_attr_abv = str(x_attr.attribute)
y_attr_abv = str(y_attr.attribute)
label_len = lux.config.label_len
prefix_len = prefix_len = math.ceil(3.0 * label_len / 5.0)
suffix_len = label_len - prefix_len
if len(x_attr_abv) > label_len:
x_attr_abv = x_attr.attribute[:prefix_len] + "..." + x_attr.attribute[-suffix_len:]
if len(y_attr_abv) > label_len:
y_attr_abv = y_attr.attribute[:prefix_len] + "..." + y_attr.attribute[-suffix_len:]
if x_attr.data_model == "measure":
agg_title = get_agg_title(x_attr)
measure_attr = x_attr.attribute
bar_attr = y_attr.attribute
else:
agg_title = get_agg_title(y_attr)
measure_attr = y_attr.attribute
bar_attr = x_attr.attribute
k = lux.config.number_of_bars
n_bars = len(self.data.iloc[:, 0].unique())
if n_bars > k: # Truncating to only top k
remaining_bars = n_bars - k
self.data = self.data.nlargest(k, measure_attr)
self.ax.text(
0.95,
0.01,
f"+ {remaining_bars} more ...",
verticalalignment="bottom",
horizontalalignment="right",
transform=self.ax.transAxes,
fontsize=11,
fontweight="bold",
color="#ff8e04",
)
df = self.data
bar = df[bar_attr].apply(lambda x: str(x))
bars = list(bar)
measurements = list(df[measure_attr])
plot_code = ""
color_attr = self.vis.get_attr_by_channel("color")
if len(color_attr) == 1:
self.fig, self.ax = matplotlib_setup(6, 4)
color_attr_name = color_attr[0].attribute
colors = df[color_attr_name].values
unique = list(set(colors))
d_x = {}
d_y = {}
for i in unique:
d_x[i] = []
d_y[i] = []
for i in range(len(colors)):
d_x[colors[i]].append(bars[i])
d_y[colors[i]].append(measurements[i])
for i in range(len(unique)):
xval = d_x[unique[i]]
yval = d_y[unique[i]]
l = unique[i]
self.ax.barh(xval, yval, label=l)
plot_code += f"ax.barh({xval},{yval}, label='{l}')\n"
self.ax.legend(
title=color_attr_name, bbox_to_anchor=(1.05, 1), loc="upper left", ncol=1, frameon=False
)
plot_code += f"""ax.legend(title='{color_attr_name}',
bbox_to_anchor=(1.05, 1),
loc='upper left',
ncol=1,
frameon=False)\n"""
else:
self.ax.barh(bar, df[measure_attr], align="center")
plot_code += f"ax.barh({bar}, {df[measure_attr]}, align='center')\n"
y_ticks_abbev = df[bar_attr].apply(lambda x: str(x)[:10] + "..." if len(str(x)) > 10 else str(x))
self.ax.set_yticks(bars)
self.ax.set_yticklabels(y_ticks_abbev)
self.ax.set_xlabel(x_attr_abv)
self.ax.set_ylabel(y_attr_abv)
plt.gca().invert_yaxis()
self.code += "import numpy as np\n"
self.code += "from math import nan\n"
self.code += f"df = pd.DataFrame({str(self.data.to_dict())})\n"
self.code += f"fig, ax = plt.subplots()\n"
self.code += f"bars = df['{bar_attr}']\n"
self.code += f"measurements = df['{measure_attr}']\n"
self.code += plot_code
self.code += f"ax.set_xlabel('{x_attr_abv}')\n"
self.code += f"ax.set_ylabel('{y_attr_abv}')\n"