Faceted Grouped Bar Charts with Error Bars and In-Plot Data Labels
Bar graphs are visual tools used to represent data using rectangular bars of varying heights or lengths. The length of each bar is proportional to the value it represents, making it easy to compare different categories or groups. They are ideal for showcasing discrete data and making comparisons between categories readily apparent. Variations include vertical and horizontal bar graphs, clustered bar graphs for showing multiple data sets, and stacked bar graphs for showing components of a whole. Creating effective bar graphs involves selecting appropriate scales, labeling axes clearly, and using color or patterns to improve understanding. They are frequently used across various fields, from business reports to scientific presentations.
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]
},
"graphOrientation": "vertical",
"groupingFactors": [
"stress"
],
"guidesColor": "rgb(235,235,235)",
"layoutAdjust": true,
"layoutGlobalGroups": true,
"layoutTopology": "3X3",
"legendColumns": 8,
"legendHorizontalJustification": null,
"legendKeyBackgroundBorderColor": "rgb(255,255,255)",
"legendKeyBackgroundColor": "rgb(255,255,255)",
"legendPosition": "top",
"legendStyleGgplot": true,
"legendTextScaleFontFactor": 0.7,
"metaData": {
"gene": true,
"stress": true,
"time": true,
"mean": false,
"se": false,
"letter": false
},
"objectBorderColor": "rgb(0,0,0)",
"panelBackgroundBorderColor": "rgb(0,0,0)",
"panelBackgroundColor": "rgb(255,255,255)",
"segregateSamplesBy": [
"gene"
],
"showAnimation": false,
"smpTextColor": "rgb(0,0,0)",
"smpTextRotate": 90,
"smpTextScaleFontFactor": 0.7,
"smpTitle": "",
"sortOnGrouping": "ascending",
"stripBackgroundBorderColor": "rgb(0,0,0)",
"stripBackgroundColor": "rgb(242,242,242)",
"stripTextColor": "rgb(0,0,0)",
"stripTextFontStyle": "bold",
"stripTextScaleFontFactor": 0.6,
"summaryType": "sum",
"theme": "GGPlot",
"xAxis": [
"Mock",
"06h",
"12h",
"24h"
],
"xAxisGridMajorColor": "rgb(235,235,235)",
"xAxisGridMajorShow": false,
"xAxisGridMinorColor": "rgba(235,235,235,1)",
"xAxisGridMinorShow": false,
"xAxisGridMinorWidth": 1,
"xAxisTextColor": "rgb(0,0,0)",
"xAxisTextScaleFontFactor": 0.7,
"xAxisTicksColor": "rgb(0,0,0)",
"xAxisTicksLength": 0.75,
"xAxisTitle": "Relative abundance",
"graphType": "Bar"
}
// Event used to create graph (optional)
var events = false
// Call the CanvasXpress function to create the graph
var cX = new CanvasXpress("canvasId", data, config, events);
</script>
</body>
</html>
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-bar20-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-bar20-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorKey=list("06h"="#4292C6", "12h"="#F4D03F", "24h"="#08519C", Mock="#9ECAE1"),
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labelScaleFontFactor=0.55, panel=7, preTransformed="True", value=1.8596), list(catX=2.1, color="rgb(0,0,0)", label="ab", labelScaleFontFactor=0.55, panel=7, preTransformed="True", value=1.975), list(catX=3.1, color="rgb(0,0,0)", label="a", labelScaleFontFactor=0.55, panel=7, preTransformed="True", value=1.7309), list(catX=4.1, color="rgb(0,0,0)", label="c", labelScaleFontFactor=0.55, panel=7, preTransformed="True", value=1.4024), list(catX=1.3, color="rgb(0,0,0)", label="c", labelScaleFontFactor=0.55, panel=7, preTransformed="True", value=1.3846), list(catX=2.3, color="rgb(0,0,0)", label="bc", labelScaleFontFactor=0.55, panel=7, preTransformed="True", value=1.1893), list(catX=3.3, color="rgb(0,0,0)", label="c", labelScaleFontFactor=0.55, panel=7, preTransformed="True", value=1.0168), list(catX=4.3, color="rgb(0,0,0)", label="a", labelScaleFontFactor=0.55, panel=7, preTransformed="True", value=2.9929), list(catX=0.7, color="rgb(0,0,0)", label="bc", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=1.4252), list(catX=1.7, color="rgb(0,0,0)", label="bc", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=2.4734), list(catX=2.7, color="rgb(0,0,0)", label="c", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=1.1718), list(catX=3.7, color="rgb(0,0,0)", label="bc", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=1.2085), list(catX=0.9, color="rgb(0,0,0)", label="ab", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=2.3783), list(catX=1.9, color="rgb(0,0,0)", label="ab", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=3.2421), list(catX=2.9, color="rgb(0,0,0)", label="ab", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=1.8555), list(catX=3.9, color="rgb(0,0,0)", label="a", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=2.3572), list(catX=1.1, color="rgb(0,0,0)", label="a", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=2.6308), list(catX=2.1, color="rgb(0,0,0)", label="a", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=3.2596), list(catX=3.1, color="rgb(0,0,0)", label="bc", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=1.6035), list(catX=4.1, color="rgb(0,0,0)", label="ab", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=2.2364), list(catX=1.3, color="rgb(0,0,0)", label="c", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=1.0965), list(catX=2.3, color="rgb(0,0,0)", label="c", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=1.3436), list(catX=3.3, color="rgb(0,0,0)", label="a", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=4.019), list(catX=4.3, color="rgb(0,0,0)", label="c", labelScaleFontFactor=0.55, panel=8, preTransformed="True", value=0.8737), list(catX=0.7, color="rgb(0,0,0)", label="c", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=1.0842), list(catX=1.7, color="rgb(0,0,0)", label="bc", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=1.8644), list(catX=2.7, color="rgb(0,0,0)", label="c", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=0.8043), list(catX=3.7, color="rgb(0,0,0)", label="c", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=0.6594), list(catX=0.9, color="rgb(0,0,0)", label="bc", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=1.652), list(catX=1.9, color="rgb(0,0,0)", label="ab", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=1.9052), list(catX=2.9, color="rgb(0,0,0)", label="bc", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=1.3016), list(catX=3.9, color="rgb(0,0,0)", label="a", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=2.8354), list(catX=1.1, color="rgb(0,0,0)", label="ab", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=2.396), list(catX=2.1, color="rgb(0,0,0)", label="c", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=1.2454), list(catX=3.1, color="rgb(0,0,0)", label="a", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=2.9524), list(catX=4.1, color="rgb(0,0,0)", label="bc", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=0.6945), list(catX=1.3, color="rgb(0,0,0)", label="a", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=4.0926), list(catX=2.3, color="rgb(0,0,0)", label="a", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=2.185), list(catX=3.3, color="rgb(0,0,0)", label="ab", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=1.811), list(catX=4.3, color="rgb(0,0,0)", label="ab", labelScaleFontFactor=0.55, panel=9, preTransformed="True", value=1.2602))),
graphOrientation="vertical",
graphType="Bar",
groupingFactors=list("stress"),
guidesColor="rgb(235,235,235)",
layoutAdjust=TRUE,
layoutGlobalGroups=TRUE,
layoutTopology="3X3",
legendColumns=8,
legendHorizontalJustification="None",
legendKeyBackgroundBorderColor="rgb(255,255,255)",
legendKeyBackgroundColor="rgb(255,255,255)",
legendPosition="top",
legendStyleGgplot=TRUE,
legendTextScaleFontFactor=0.7,
metaData=list(gene="True", letter="False", mean="False", se="False", stress="True", time="True"),
objectBorderColor="rgb(0,0,0)",
panelBackgroundBorderColor="rgb(0,0,0)",
panelBackgroundColor="rgb(255,255,255)",
segregateSamplesBy=list("gene"),
showAnimation=FALSE,
smpTextColor="rgb(0,0,0)",
smpTextRotate=90,
smpTextScaleFontFactor=0.7,
smpTitle="",
sortOnGrouping="ascending",
stripBackgroundBorderColor="rgb(0,0,0)",
stripBackgroundColor="rgb(242,242,242)",
stripTextColor="rgb(0,0,0)",
stripTextFontStyle="bold",
stripTextScaleFontFactor=0.6,
summaryType="sum",
theme="GGPlot",
xAxis=list("Mock", "06h", "12h", "24h"),
xAxisGridMajorColor="rgb(235,235,235)",
xAxisGridMajorShow=FALSE,
xAxisGridMinorColor="rgba(235,235,235,1)",
xAxisGridMinorShow=FALSE,
xAxisGridMinorWidth=1,
xAxisTextColor="rgb(0,0,0)",
xAxisTextScaleFontFactor=0.7,
xAxisTicksColor="rgb(0,0,0)",
xAxisTicksLength=0.75,
xAxisTitle="Relative abundance"
)
from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import show_in_browser
if __name__ == "__main__":
# Define the chart with its data and configuration
chart: CanvasXpress = CanvasXpress(
render_to = "bar17",
data = {
"y": {
"vars": ["Mock", "06h", "12h", "24h"],
"smps": ["0.0574991453567732", "0.36357647174833", "0.354104842766961", "0.190567364844255", "0.265243580387258", "0.24703049407069", "0.318194788313502", "0.0944170737717575", "0.0682653126650015", "0.101876358919925", "0.110632696342833", "0.221966190223747", "0.0593119349745229", "0.23762006012845", "0.198990921760496", "0.267944243551508", "0.276889770394703", "0.258083679596833", "0.0246201637186967", "0.146531045653788", "0.357923838149415", "0.147156505720631", "0.0689682509169676", "0.215387996275629", "0.0915667078955652", "0.0656610307602716", "0.0952089856738704", "0.259753444307358", "0.0769354054520456", "0.223352627554865", "0.275538806786131", "0.115841680301843", "0.103520621608472", "0.127887717970308", "0.126432442790126", "0.035127273010416", "0.354088289128871", "0.219602310545619", "0.27736683806814", "0.163140401086224", "0.163600939089262", "0.103406862431109", "0.0819818824411139", "0.327406685451162", "0.228248960721208", "0.179304681467844", "0.191461951171171", "0.213046014854099", "0.278381321919427", "0.158952885252668", "0.102763791372667", "0.0483231348811267", "0.380564175422547", "0.238118240609054", "0.372568358877446", "0.207927879755166", "0.125177234592727", "0.090035123321206", "0.0586733967658968", "0.155116019618259", "0.0802280996888216", "0.249348827210562", "0.157971822991807", "0.410116170284497", "0.349711310990344", "0.0737132315273975", "0.186543584290528", "0.199100372078522", "0.14695547678048", "0.182229096657359", "0.281454315776143", "0.144284193075768", "0.0927113094657261", "0.40771383039869", "0.109302836100043", "0.250478383763889", "0.212853668577257", "0.0785499111922253", "0.132992281958977", "0.235737122249744", "0.199820095593729", "0.151659019170953", "0.052953588411113", "0.0403016467598786", "0.532194478532702", "0.213730239957331", "0.21236048614572", "0.122786692629754", "0.167814088579279", "0.130730418142662", "0.177610941786186", "0.253332425604344", "0.0546053900333852", "0.0655431618028285", "0.118154912921956", "0.200656549249488", "0.0756389652755012", "0.140950613900553", "0.216970144242254", "0.213965070656696", "0.0987934723070919", "0.141270123623201", "0.150566376793308", "0.0879461958790063", "0.128366217910886", "0.185777250840949", "0.26044051376587", "0.0502343099386003", "0.0506807719477282", "0.0961447889236061", "0.133836458850774", "0.144840185958485", "0.166547598699576", "0.163491487881008", "0.159945979306636", "0.0620859900152785", "0.545061984623291", "0.244579264760316", "0.361400321616723", "0.153189178122891", "0.0590576354991099", "0.0611729147395048", "0.368922285495651", "0.0656598552912387", "0.0600279390552071", "0.298776556798503", "0.108087773142088", "0.209786959443511", "0.208266074536012", "0.21780080319472", "0.108894796721217", "0.0629335848169776", "0.119570277170658", "0.209236265699289", "0.180659627326477", "0.245877862606027", "0.18202119506697", "0.256680760974587", "0.0548008976912264", "0.595650637949072", "0.232636734888368", "0.393053488986653", "0.0934955764871045", "0.118271399491131"],
"data": [
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]
},
"graphOrientation": "vertical",
"groupingFactors": ["stress"],
"guidesColor": "rgb(235,235,235)",
"layoutAdjust": True,
"layoutGlobalGroups": True,
"layoutTopology": "3X3",
"legendColumns": 8,
"legendHorizontalJustification": None,
"legendKeyBackgroundBorderColor": "rgb(255,255,255)",
"legendKeyBackgroundColor": "rgb(255,255,255)",
"legendPosition": "top",
"legendStyleGgplot": True,
"legendTextScaleFontFactor": 0.7,
"metaData": {
"gene": True,
"stress": True,
"time": True,
"mean": False,
"se": False,
"letter": False
},
"objectBorderColor": "rgb(0,0,0)",
"panelBackgroundBorderColor": "rgb(0,0,0)",
"panelBackgroundColor": "rgb(255,255,255)",
"segregateSamplesBy": ["gene"],
"showAnimation": False,
"smpTextColor": "rgb(0,0,0)",
"smpTextRotate": 90,
"smpTextScaleFontFactor": 0.7,
"smpTitle": "",
"sortOnGrouping": "ascending",
"stripBackgroundBorderColor": "rgb(0,0,0)",
"stripBackgroundColor": "rgb(242,242,242)",
"stripTextColor": "rgb(0,0,0)",
"stripTextFontStyle": "bold",
"stripTextScaleFontFactor": 0.6,
"summaryType": "sum",
"theme": "GGPlot",
"xAxis": ["Mock", "06h", "12h", "24h"],
"xAxisGridMajorColor": "rgb(235,235,235)",
"xAxisGridMajorShow": False,
"xAxisGridMinorColor": "rgba(235,235,235,1)",
"xAxisGridMinorShow": False,
"xAxisGridMinorWidth": 1,
"xAxisTextColor": "rgb(0,0,0)",
"xAxisTextScaleFontFactor": 0.7,
"xAxisTicksColor": "rgb(0,0,0)",
"xAxisTicksLength": 0.75,
"xAxisTitle": "Relative abundance",
"graphType": "Bar"
},
width = 600,
height = 600
)
# Display the chart in its own Web page
show_in_browser(chart)
Run this notebook:
from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import graph
graph(
CanvasXpress(
render_to = "bar17",
data = {
"y": {
"vars": ["Mock", "06h", "12h", "24h"],
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