plotly

问题 This is small example of my data set.This set contain weekly data about 52 weeks.You can see data with code below: # CODE #Data ARTIFICIALDATA<-dput(structure(list(week = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52), `2019 Series_1` = c(534.771929824561, 350.385964912281, 644.736842105263, 366.561403508772, 455.649122807018, 533

问题 I have a dataframe, df with the columns pm1 and pm25. I want to show a graph(with Plotly) of how correlated these 2 signals are. So far, I have managed to show the scatter plot, but I don't manage to draw the fit line of correlation between the signals. So far, I have tried this: denominator=df.pm1**2-df.pm1.mean()*df.pm1.sum() print('denominator',denominator) m=(df.pm1.dot(df.pm25)-df.pm25.mean()*df.pm1.sum())/denominator b=(df.pm25.mean()*df.pm1.dot(df.pm1)-df.pm1.mean()*df.pm1.dot(df.pm25)

问题 I have a dataframe, df with the columns pm1 and pm25. I want to show a graph(with Plotly) of how correlated these 2 signals are. So far, I have managed to show the scatter plot, but I don't manage to draw the fit line of correlation between the signals. So far, I have tried this: denominator=df.pm1**2-df.pm1.mean()*df.pm1.sum() print('denominator',denominator) m=(df.pm1.dot(df.pm25)-df.pm25.mean()*df.pm1.sum())/denominator b=(df.pm25.mean()*df.pm1.dot(df.pm1)-df.pm1.mean()*df.pm1.dot(df.pm25)

问题 I'm creating a line based time series graph using the plotly library for python. I'd like to connect it to a time series database, but for now I've been testing with csv data. Is it possible to have an x and y axis (time vs value), and load multiple lines from another csv column value (host) and append to the x and y graph? import pandas as pd import plotly.express as px df = pd.read_csv('stats.csv') fig = px.line(df, x = 'time', y = 'connections', title='connections') fig.show() I'd like to

问题 I am trying to plot line chart using plotly for multiple dataframes in a single graph. My code is: import plotly.express as px labels=category_names[:10] for category in category_names[:10]: df_b=df1[df1['Country/Region']==category] fig=px.line(df_b, x="Date", y="Confirmed",labels="Country/Region") print(category) fig.show() However, by using the above code I am just able to get the line graph for last iteration of for loop. Current output: Desired Output: Kindly help me with the code! 回答1:

问题 I am trying to plot line chart using plotly for multiple dataframes in a single graph. My code is: import plotly.express as px labels=category_names[:10] for category in category_names[:10]: df_b=df1[df1['Country/Region']==category] fig=px.line(df_b, x="Date", y="Confirmed",labels="Country/Region") print(category) fig.show() However, by using the above code I am just able to get the line graph for last iteration of for loop. Current output: Desired Output: Kindly help me with the code! 回答1:

问题 In the code below another user has successfully demonstrated a workaround on how to load an image URL into a Plotly graph. The image data is taken from the data frame and then, by employing the custom data tool, appears as a tooltip on hover at each data point in the graph. Is there a way to do something similar using images stored locally, simply using the file directory? library(shiny) library(shinydashboard) library(plotly) # Data -----------------------------------------------------------

问题 I have the following code producing a scatter plot and I would like to add both vertical and horizontal lines representing the mean values of the y axis and x axis, how could I do that? f <- list( family = "Courier New, monospace", size = 18, color = "#7f7f7f" ) x <- list( title = "Age of Buildings", titlefont = f, zeroline = FALSE, showline = FALSE, showticklabels = TRUE, showgrid = TRUE ) y <- list( title = "Total Violations", titlefont = f, zeroline = FALSE, showline = FALSE,

问题 I would like to mimic Excel smoothing style in R using ggplot2 and plotly. Packages library(dplyr) library(tibble) library(ggplot2) library(plotly) library(ggforce) #only for geom_bspline() in example below (other smoothing functions can be used) library(scales) #only for percent() formatting below Example dataset df <- tibble(Group = rep(LETTERS[1:2], each = 10), x = rep(1:10, 2), y = c(2, 5, 9, 15, 19, 19, 15, 9, 5, 2, 1, 0, 3, 2, 3, 4, 14, 24, 24, 25)*0.01) What I want What I have so far

问题 I would like to add trace of a median line on my box plot. like this Here are my plots so far: library(plotly) p <- plot_ly(y = ~rnorm(50), type = "box") %>% add_trace(y = ~rnorm(50, 1)) p 回答1: Just start out with a scatter plot using plot_ly(..., type='scatter', mode='lines', ...) , and follow up with one add_boxplot(...' inherit=FALSE, ...) per box plot. Here's how you do it for an entire data.frame : Complete code with sample data: library(dplyr) library(plotly) # data df <- data.frame