timeserieschart

问题 I am trying to create a graph with the following characteristics: x-axis: time and date y-axis: data here you can download my dataframe: https://my.cloudme.com/josechka/data I try to produce the graph using: p <- ggplot(data,aes(x = Date, y = Var,group = 1)) + geom_line() + scale_x_date(labels = date_format("%m/%d/%Y")) + scale_y_continuous(limits = c(0, 70000)) p And I get the result: Error: Invalid input: date_trans works with objects of class Date only I am quite new in R and ggplot. What

问题 I want to create a plot where the y-axis is the number of seasonal years I have data for and the x-axis is in months and days. Each seasonal year will have two dates. |1957|... |1956| d1--------d2 |1955| d1---------d2 |1954| d1---------d2 |June01|...|Jan01...|Feb11|...|Feb23|...|Feb26|...|Mar20|...|Mar25|.. I almost have the graph I want, except the x-axis covers the entire time span rather than just 12-months. from bokeh.plotting import figure p1 = figure(plot_width=1000, plot_height=300, x

问题 I wrote these 2 lines of code to create a chart using an XYDataset : final XYDataset dataset = new TimeSeriesCollection(myInfo.getSeries()); JFreeChart timechart = ChartFactory.createTimeSeriesChart(myInfo.getName() + " CPU (last 72h)", "", "CPU %", dataset, false, false, false); These lines created this nice "last 72h" chart: This is how I added the information to build this chart (this piece of code can run multiple times): SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM

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'm reasonably familiar with the usual ways of modifying a plot by writing your own x axis labels or a main title, but I've been unable to customize the output when plotting the results of a time series decomposition. For example, library(TTR) t <- ts(co2, frequency=12, start=1, deltat=1/12) td <- decompose(t) plot(td) plot(td, main="Title Doesn't Work") # gets you an error message gives you a nice, basic plot of the observed time series, trend, etc. With my own data (changes in depth below

问题 Hi i have yearly data from 2010 to 2050. i am trying make line plot so that my x-axis start from 2010 and end in 2050 showing 5 years interval i e i want x-axis break as ( 2010, 2015, 2020,....,2045,2050). Unfortunately it starts from 2013 and end at 2048. why ? how to fix this ? my data, code and result image are below. plot1<- ggplot(test, aes(yr, y=value)) + geom_line()+ scale_x_date(breaks = date_breaks("5 year"),labels=date_format("%Y")) + scale_y_continuous(breaks=seq(-4,6, by=1)) plot1

问题 I just started to play around with high charts ( Time-Series Zoomable ) and I have a JSON data something like this: [ {"StartTime":"2018-06-11T00:00:00","TotalReq":10}, {"StartTime":"2018-06-12T00:00:00","TotalReq":34}, {"StartTime":"2018-06-15T00:00:00","TotalReq":31}, {"StartTime":"2018-06-16T00:00:00","TotalReq":2}, {"StartTime":"2018-06-18T00:00:00","TotalReq":38}, {"StartTime":"2018-06-19T00:00:00","TotalReq":69}, {"StartTime":"2018-06-20T00:00:00","TotalReq":39}, {"StartTime":"2018-06

问题 My Problem is related to: Axis labels on two lines with nested x variables (year below months) However, my data looks a little different. library(dplyr) set.seed(122) df <- as_tibble(rlnorm(1260, meanlog = 0.06, sdlog = 0.20)) df$month <- rep(c("Jan", "Feb", "Mär", "Apr", "Mai", "Jun", "Jul", "Aug", "Sep", "Okt", "Nov", "Dez"), 5, each=21) df$year <- rep(c("Year 1", "Year 2", "Year 3", "Year 4", "Year 5" ), 1, each=252) I would like my line graph too look like this, but without the vertical

问题 My Problem is related to: Axis labels on two lines with nested x variables (year below months) However, my data looks a little different. library(dplyr) set.seed(122) df <- as_tibble(rlnorm(1260, meanlog = 0.06, sdlog = 0.20)) df$month <- rep(c("Jan", "Feb", "Mär", "Apr", "Mai", "Jun", "Jul", "Aug", "Sep", "Okt", "Nov", "Dez"), 5, each=21) df$year <- rep(c("Year 1", "Year 2", "Year 3", "Year 4", "Year 5" ), 1, each=252) I would like my line graph too look like this, but without the vertical