stacked-area-chart

问题 I'm using ggplot2 to create a stacked area chart showing footprint (area) of a number of different research stations over time. I would like something that looks like the chart below, but with Area on the y axis and colored by the different research stations: (source: r-graph-gallery.com) I've tried elements of similar posts, but can't get it to work. Trouble with ggplot in R - "Error in f(...) : Aesthetics can not vary with a ribbon" Getting a stacked area plot in R https://www.r-graph

来源： https://stackoverflow.com/questions/64422431/sort-on-legend-in-stacked-area-chart-power-bi

问题 I am trying to create a "grouped percent stacked bar plot" for want of a better name. Here is a simple working example of my code: import numpy as np import matplotlib.pyplot as plt from matplotlib import rc import pandas as pd # Data r = [0,1,2,3,4] raw_data = {'PFHxA': [20, 1.5, 7, 10, 5], \ 'PFHpA': [5, 15, 5, 10, 15], \ 'PFOA': [2, 15, 18, 5, 10], \ 'PFNA': [2, 15, 18, 5, 10], \ 'PFDA': [2, 15, 18, 5, 10], \ 'PFUnDA': [2, 15, 18, 5, 10], \ 'PFHxS': [2, 15, 18, 5, 10], \ 'PFOS': [2, 15, 18

问题 Here is the structure of my data: Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 60 obs. of 3 variables: $ year : num 1990 1990 1991 1992 1993 ... $ studyType: Factor w/ 4 levels "meta","observational",..: 2 3 3 1 3 3 3 1 3 3 ... $ N : int 1 4 4 1 2 5 3 1 2 6 ... I'm trying to get this into a stacked area chart using the following code: ggplot(evidence.summary.main, aes(x = year, y = N, fill=studyType)) + geom_area(alpha=.80) Any ideas why I cannot get this to stack properly? And my data from dput

问题 Here is the structure of my data: Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 60 obs. of 3 variables: $ year : num 1990 1990 1991 1992 1993 ... $ studyType: Factor w/ 4 levels "meta","observational",..: 2 3 3 1 3 3 3 1 3 3 ... $ N : int 1 4 4 1 2 5 3 1 2 6 ... I'm trying to get this into a stacked area chart using the following code: ggplot(evidence.summary.main, aes(x = year, y = N, fill=studyType)) + geom_area(alpha=.80) Any ideas why I cannot get this to stack properly? And my data from dput

问题 This is kinda a build-on on my previous post creating an stacked area/bar plot with missing values (all the script I run can be found there). In this post, however, Im asking if its possible to leave a gap in an continuous x axis? I have a time-serie (month-by-month) over a year, but for one sample one month is missing and I would like to show this month as a complete gap in the plot. Almost like plotting a graph for Jan-Aug (Sep is missing) and one for Oct-Dec and merging these with a gap

问题 I have created a stacked area plot with ggplot2 and added vertical lines at some positions on the x-axis . I now want to name the sections that are separated by these vertical lines. An example of it could look like it is shown on the example plot. Other solutions are also welcome. I have a vector of breaks (x-axis) and a vector of the names for the intervals. Code: library(ggplot2) d <- read.delim(...) x_breaks = c(-3999,1,599,4076,7557,11556) png(output, width=800, height=400) ggplot(d, aes

问题 I was wondering how to create a 100 % stacked area chart in matplotlib. At the matplotlib page I couldn't find an example for it. Somebody here can show me how to achieve that? 回答1: A simple way to achieve this is to make sure that for every x-value, the y-values sum to 100. I assume that you have the y-values organized in an array as in the example below, i.e. y = np.array([[17, 19, 5, 16, 22, 20, 9, 31, 39, 8], [46, 18, 37, 27, 29, 6, 5, 23, 22, 5], [15, 46, 33, 36, 11, 13, 39, 17, 49, 17]]

问题 I'd like to draw a difference (area) chart, something like this: How would d3.js difference chart example work with json data? where my chart is centered around horizontal (y=0) axis. JavaFx's Area chart seems to know how to fill only the area below the line!? Example "Adding negative value" (Fig 33-7) seems to be what I'm looking for (March series) BUT it does not work/render as shown! Instead of: it renders: Thanks, Igor 来源： https://stackoverflow.com/questions/30185035/how-to-add-negative

问题 I have a time series of production in countries over time. I made this stacked area graph with the full data: The problem is that it isn't very readable (since using all countries means I can't have a legend) so I thought that I wanted to somehow group the lowest producing countries and sort the graph on the production from highest to lowest. I think that grouping and sorting based on the last years (2017) values would make the most sense, since the production is usually much higher. Here is