plotly

I’ve looked into the documentation but they didn’t seem to mention it. https://plot.ly/python/axes/ How can I change the label on x axis to show “Mon 20-7”, “Tue 21-7”, etc. The 'date' used for xaxis is in the format "20-7-2018 11:00:00am", etc. I use the following Python Plotly script: trace0=go.Scatter(x=df_pre.index,y=df_pre['Total'],line=dict(color=('rgb(16,25,109)'),width=1),name='Period_1') trace1=go.Scatter(x=df_post.index,y=df_post['Total'],line=dict(color=('rgb(77,221,26)'),width=2),name='Period_2') data=[trace0,trace1] layout=dict(title='Total',width=960,height=768, yaxis=dict(title=

I'm trying to turn a ggplot into a plotly. The ggplot renders fine, but when I put it through ggplotly, suddenly the legend adds parenthesis and ",1" after the label. Here's a sample fake data: sorted1<-data.frame(CommDate=c(as.Date("2017-09-12"), as.Date("2017-10-15")), CommName=c("Foo", "Bar"), PubB4=c(2,3)) And here's the code I'm trying to run on it: ggplotly(ggplot(sorted1, aes(x=as.Date(CommDate), y=PubB4))+ geom_smooth(level=0.0, aes(colour="Moving average"), se=FALSE)+ geom_point(aes(fill=CommName), size=4)+ expand_limits(y=c(0,4.5))+ geom_line(mapping=aes(y=4),colour="orangered3",size

I am trying to figure out how to control the order of the traces plotted in plotly, i.e. how to bring traces to the front and to the back. Here there is a simple piece of code that plots two traces. How can I decide the order? library(plotly) airquality_sept <- airquality[which(airquality$Month == 9),] airquality_sept$Date <- as.Date(paste(airquality_sept$Month, airquality_sept$Day, 1973, sep = "."), format = "%m.%d.%Y") plot_ly(airquality_sept) %>% add_trace(x = ~Date, y = ~Wind, type = 'bar', name = 'Wind', marker = list(color = '#C9EFF9') ) %>% add_trace(x = ~Date, y = ~Temp, type =

I've searched for some time now and I can't seem to find a related question. There are similar questions, but nothing that gets to the heart of what I am trying to do with the code I have. I am trying to add additional text to the hovertext in plotly. Here is my code so far: import pandas as pd import numpy as np from plotly.offline import * init_notebook_mode(connected=True) graph1 = merged.groupby(['study_arm', 'visit_label'])['mjsn'].mean().unstack('study_arm') graph1.iplot(mode='lines+markers', symbol=['diamond-open', 'square-open', 'circle-dot', 'hexagon-open'], size=8, colorscale =

I'm trying to get plotly to put values in scientific notation regardless of their size, i.e. 100 should be 1E02 in the ticks, but it keeps showing numbers below 10.000 as normal annotation. Setting the format is done through exponentformat = "E" "but it only affects larger numbers. Here is an example code of how I write it: f2 <- list(family = "Old Standard TT, serif", size = 14, color = "black") ax <- list(showticklabels = TRUE, tickfont = f2, showgrid=F, zeroline=T, showline=T, nticks = 4, exponentformat = "E") ay <- list(nticks = 4, showticklabels = TRUE, tickfont = f2, showgrid=F, zeroline

In the app below there is some weird mystery going on: Why can I not use certain names for my plots? The app was build as a dummy app to change the color of traces in plots. 1 button affects trace x in 2 plots, and there is one button for each trace. The button names contain the name of both plots, and the trace nr they target. When the plots are named plot1, plot2, plot3, plot4, it all works. but the actual program it is intended for uses different plot names. Changing all instances of plot1 into 'FP1plot' in the code works, changing plot3 into 'FP2plot' still works, but most names used to