bar-chart

Position geom_text on dodged barplot

守給你的承諾、 提交于 2019-12-17 00:02:51
问题 I tried to make the title self-explanatory, but here goes - data first: dtf <- structure(list(variable = structure(c(1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L), .Label = c("vma", "vla", "ia", "fma", "fla"), class = "factor"), ustanova = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L), .Label = c("srednja škola", "fakultet"), class = "factor"), `(all)` = c(42.9542857142857, 38.7803203661327, 37.8996138996139, 33.7672811059908, 29.591439688716, 26.1890660592255, 27.9557692307692, 23

Interactively Re-color Bars in Matplotlib Bar Chart using Confidence Intervals

萝らか妹 提交于 2019-12-14 03:29:06
问题 Trying to shade the bars in this chart based on the confidence that a selected y-value (represented by the red line) lies within a confidence interval. See recolorBars() method in the class example below. While I understand colormaps, Normalize() , and ScalarMappable() , I'm stumped on which values to pass to Normalize() to create a color and shade for each bar. Here's what my chart looks like when first generated. To generate the chart pictured above, call chart = interactiveChart() . The

Stacked bar plot with 4 categorical variables in R

寵の児 提交于 2019-12-14 03:18:40
问题 My problem is being able to displaying 4 categorical variables in a bar graph in R. The 4 categorical variables each have 2 or more levels. My thoughts were to use a ggplot to create separate bar plots using geom_bar for each of 3 categories, for which counts of each level would be stacked. I would then use facet_wrap then to split it out by the 4th category. The data looks like this: Species Crown_Class Life_class Stem_Category E. obliqua Suppressed Standing live Large stems E. rubida

D3 Bar chart. Values not aligned with Y axis

感情迁移 提交于 2019-12-14 02:41:29
问题 I am facing an issue while plotting values. The bars go beyond Y-Axis. <div id = "Bar1"> <script> var margin1 = {top: 40, right: 20, bottom: 30, left: 40}, width1 = 460 //- margin.left - margin.right, height1 = 200 //- margin.top - margin.bottom; var formatPercent1 = d3.format(""); var x1 = d3.scale.ordinal() .rangeRoundBands([0, width1], 0); //.rangeRoundBands([width1, 0); var y1 = d3.scale.linear() .range([height1, 0]); var xAxis1 = d3.svg.axis() .scale(x1) .orient("bottom"); var yAxis1 =

highcharts column chart with line, need line start at bar start

非 Y 不嫁゛ 提交于 2019-12-14 02:22:08
问题 here is demo fiddel, need line chart start from first column left border to last column right border like image below in demo fiddel it is start for center of bars. here is my code of series or you can see in fiddel : series: [{ name: 'Rainfall', type: 'column', yAxis: 1, data: [49.9, 71.5, 106.4, 129.2, 144.0, 176.0, 135.6, 148.5, 216.4, 194.1, 95.6, 54.4], tooltip: { valueSuffix: ' mm' } }, { name: 'Temperature', type: 'line', data: [7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3,

x-axis labels in coreplot not displayed

拟墨画扇 提交于 2019-12-14 02:07:49
问题 I have attached the entire code which I am using but the x-axis label is not being generated .I have no clue where it is going wrong .I am a noob in core plot .PLease Help me out .Thanks in Advance and Happy New Year. #import "BarPlotViewController.h" @interface BarPlotViewController () @end @implementation BarPlotViewController #define BAR_POSITION @"POSITION" #define BAR_HEIGHT @"HEIGHT" #define COLOR @"COLOR" #define CATEGORY @"CATEGORY" #define AXIS_START 0 #define AXIS_END 50 //

Plotting Pandas data as an array of bar chart does not honour sharex = True

混江龙づ霸主 提交于 2019-12-13 20:27:06
问题 I have a Pandas dataframe that contains a column containing 'year' data and a column containing 'count' data. There is also a column containing a 'category' variable. Not each category has data for each year. I would like to plot an array of bar charts, one above the other, using a common x axis (year). The code I've written almost works except the x axis is not common for all plots. The code example is given below. Basically, the code creates an array of axes with sharex=True and then steps

Enable x-Axis (Horizontal) scroll in coreplot

不问归期 提交于 2019-12-13 19:21:38
问题 I am using code from this link . And currently If I have 50 bar columns or 150 bar columns then the labels below is compressed and I would like to have horizontal scroll on x-Axis instead of having compressed x-Axis. I have tried this: plotSpace.xRange = CPTPlotRangeplotRangeWithLocation:CPTDecimalFromInt(-1)length:CPTDecimalFromInt(50)]; Attaching code from the file : #import "GraphView.h" @implementation GraphView - (void)generateData { NSMutableDictionary *dataTemp = [[NSMutableDictionary

react-charts “stacked:true” is not working

╄→гoц情女王★ 提交于 2019-12-13 18:44:50
问题 I've created a chart in ReactJS using react-charts , with multiple bars. This is my component: import React, { Component } from "react"; import { Chart } from "react-charts"; import axios from "axios"; const qs = require("qs"); class Volume extends Component { state = { load_vol_chart: true, volume_chart_data: [] }; componentDidMount() { this.getVolumeChartData(); } getVolumeChartData() { var name = this.props.name; axios .post( `http://api.mydomain.in/details/`, qs.stringify({ type: name })

R stacked barplot with groups

情到浓时终转凉″ 提交于 2019-12-13 17:15:49
问题 I'd like to create a stacked barchart with groups and am struggling with this: data <- data.frame(timeslot=c("0-1", "1-2", "2-3", "3-4", "4-5", "5-6", "6-7", "7-8", "8-9", "9-10", "10-11", "11-12", "12-13", "13-14", "14-15", "15-16", "16-17", "17-18", "18-19", "19-20", "20-21", "21-22", "22-23", "23-0"), Start1=c(3,0,1,0,0,1,2,22,58,41,30,41,52,52,38,35,20,18,14,19,12,2,9,0), Start2=c(0,0,0,0,0,0,0,13,23,11,11,15,19,13,10,13,14,5,4,7,4,3,2,0), Stop1=c(0,0,0,0,0,0,22,17,21,30,29,40,38,43,44,24