def test_boxplot_color():
source = data.barley()
return ar.boxplot(
source,
columns=["yield"],
group_by="year",
color=True,
width=800 // len(source["site"].unique()),
).facet(column="site")
def make_annotated_bar(source=data.barley()):
bars = alt.Chart(source).mark_bar().encode(x=alt.X('sum(yield):Q',
stack='zero'),
y=alt.Y('variety:N'),
color=alt.Color('site'))
text = alt.Chart(source).mark_text(dx=-15, dy=3, color='white').encode(
x=alt.X('sum(yield):Q', stack='zero'),
y=alt.Y('variety:N'),
detail='site:N',
text=alt.Text('sum(yield):Q', format='.1f'))
return bars + text
import streamlit as st
import altair as alt
from vega_datasets import data
import pandas as pd
source = data.barley()
bars = alt.Chart(source, width=720,
height=480).mark_bar().encode(x=alt.X('sum(yield):Q',
stack='normalize'),
y=alt.Y('variety:N'),
color=alt.Color('site'))
text = alt.Chart(source, width=720, height=480).mark_text(
dx=-15, dy=3, color='white').encode(x=alt.X('sum(yield):Q',
stack='normalize'),
y=alt.Y('variety:N'),
detail='site:N',
text=alt.Text('sum(yield):Q',
format='.1f'))
c = bars + text
source = data.stocks()
stock_index = alt.Chart(source, width=720, height=180).mark_area(
color="lightblue", interpolate='step-after',
line=True).encode(x='date',
y='price').transform_filter(alt.datum.symbol == 'GOOG')
st.altair_chart(stock_index)
""" Stacked Bar Chart ----------------- This is an example of a stacked bar chart using data which contains crop yields over different regions and different years in the 1930s. """ # category: bar charts import altair as alt from vega_datasets import data barley = data.barley() alt.Chart(barley).mark_bar().encode(x='variety', y='sum(yield)', color='site')
"""
Trellis Stacked Bar Chart
=========================
This is an example of a horizontal stacked bar chart using data which contains crop yields over different regions and different years in the 1930s.
"""
# category: bar charts
import altair as alt
from vega_datasets import data
source = data.barley()
alt.Chart(source).mark_bar().encode(
column='year',
x='sum(yield)',
y='variety',
color='site'
).properties(width=250)
# Created by iiSeymour
# Changed by Mandeep Singh
# Changed date: 03/21/2019
# Licensce: free to use
#############################################
import local_data as sample_data
from flask import Flask, render_template
from altair import Chart, X, Y, Axis, Data, DataFormat
import pandas as pd
# load a simple dataset as a pandas DataFrame
from vega_datasets import data
cars = data.cars()
electricity = data.iowa_electricity()
barley_yield = data.barley()
app = Flask(__name__)
##########################
# Flask routes
##########################
# render index.html home page
@app.route("/")
def index():
return render_template('index.html')
# render cars.html page
@app.route("/cars")
import dash
import dash_core_components as dcc
import dash_bootstrap_components as dbc
import dash_html_components as html
from dash.dependencies import Input, Output
import altair as alt
import pandas as pd
from vega_datasets import data
app = dash.Dash(__name__,
assets_folder='assets',
external_stylesheets=[dbc.themes.BOOTSTRAP])
server = app.server
df = data.barley()
SIDEBAR_STYLE_LEFT = {
"position": "fixed",
"top": 0,
"left": 0,
"bottom": 0,
"width": "300px",
"padding": "2rem 1rem",
"height": "100%",
#"background-color": "#f8f9fa",
"background-color": '#343A40',
"color": 'white',
"overflow": "auto"
}
BODY = {
def test_barchart_color():
source = data.barley()
return ar.barchart(source, x="year", y="mean(yield)", color=True)
