plotly

Convert “regular” plot to ggplot object (and then plotly)

青春壹個敷衍的年華 提交于 2021-01-07 02:50:00
问题 I am using the R programming language. I incorporated my own code along with a lengthy tutorial over here : https://michael.hahsler.net/SMU/EMIS7332/R/viz_classifier.html . In the end, I produced a visual "plot" (see the end of this code, "final_plot") library(cluster) library(Rtsne) library(dplyr) library(randomForest) library(caret) library(ggplot2) library(plotly) #PART 1 : Create Data #generate 4 random variables : response_variable ~ var_1 , var_2, var_3 var_1 <- rnorm(10000,1,4) var_2<

Convert “regular” plot to ggplot object (and then plotly)

无人久伴 提交于 2021-01-07 02:49:57
问题 I am using the R programming language. I incorporated my own code along with a lengthy tutorial over here : https://michael.hahsler.net/SMU/EMIS7332/R/viz_classifier.html . In the end, I produced a visual "plot" (see the end of this code, "final_plot") library(cluster) library(Rtsne) library(dplyr) library(randomForest) library(caret) library(ggplot2) library(plotly) #PART 1 : Create Data #generate 4 random variables : response_variable ~ var_1 , var_2, var_3 var_1 <- rnorm(10000,1,4) var_2<

R: plotly time series graphs

你离开我真会死。 提交于 2021-01-07 02:38:29
问题 I am using the R programming language. I found some examples on the plotly r website that I am trying to replicate: https://plotly.com/r/cumulative-animations/ and https://plotly.com/r/custom-buttons/ I created some artificial time series data: library(xts) library(ggplot2) library(dplyr) library(plotly) #create data #time series 1 date_decision_made = seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day") date_decision_made <- format(as.Date(date_decision_made), "%Y/%m/%d") property_damages

R: plotly time series graphs

穿精又带淫゛_ 提交于 2021-01-07 02:37:31
问题 I am using the R programming language. I found some examples on the plotly r website that I am trying to replicate: https://plotly.com/r/cumulative-animations/ and https://plotly.com/r/custom-buttons/ I created some artificial time series data: library(xts) library(ggplot2) library(dplyr) library(plotly) #create data #time series 1 date_decision_made = seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day") date_decision_made <- format(as.Date(date_decision_made), "%Y/%m/%d") property_damages

Plotly Dash Callback error updating Output Graph

℡╲_俬逩灬. 提交于 2021-01-07 01:26:12
问题 I am trying to create an interactive chart using Plotly Dash. The code reads the symbol name from the user and pullout historical data from yahoo finance and plots a candlestick chart with an slider. As I run the code I am getting this error in the browser: Callback error updating output-graph.children The source code is: import dash import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output import plotly.graph_objs as go import pandas

Plotly Dash Callback error updating Output Graph

一个人想着一个人 提交于 2021-01-07 01:20:44
问题 I am trying to create an interactive chart using Plotly Dash. The code reads the symbol name from the user and pullout historical data from yahoo finance and plots a candlestick chart with an slider. As I run the code I am getting this error in the browser: Callback error updating output-graph.children The source code is: import dash import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output import plotly.graph_objs as go import pandas

Individually color ticks of a plotly.graph_objects.Bar

梦想的初衷 提交于 2021-01-04 06:38:29
问题 I have a multi-index dataframe dfc which I want to plot as a bar chart with the color of the tick on the yaxis depending on the value of dfc.iloc[i].values[1] for any value i. Unnamed: 1 claimed_benefit perceived_benefit My Burberry - Eau de Parfum je me sens bien 0 0.000000 Her Intense - Eau de Parfum convient bien moi 0 0.000000 Her Intense - Eau de Parfum sensuelle / sexy 0 0.000000 Her Intense - Eau de Parfum nettoyer 0 0.000000 Her Intense - Eau de Parfum haute qualite 0 0.000000 ... ...

Individually color ticks of a plotly.graph_objects.Bar

谁说我不能喝 提交于 2021-01-04 06:37:46
问题 I have a multi-index dataframe dfc which I want to plot as a bar chart with the color of the tick on the yaxis depending on the value of dfc.iloc[i].values[1] for any value i. Unnamed: 1 claimed_benefit perceived_benefit My Burberry - Eau de Parfum je me sens bien 0 0.000000 Her Intense - Eau de Parfum convient bien moi 0 0.000000 Her Intense - Eau de Parfum sensuelle / sexy 0 0.000000 Her Intense - Eau de Parfum nettoyer 0 0.000000 Her Intense - Eau de Parfum haute qualite 0 0.000000 ... ...

How do I add space between the tick labels and the graph in plotly (python)?

牧云@^-^@ 提交于 2021-01-04 03:19:08
问题 If I create a horizontal bar graph using plotly, the labels for each bar are right up against the graph. I'd like to add some space/pad/margin between the label and the graph. How can I do this? Example: import plotly.offline as py import plotly.graph_objs as go labels = ['Alice','Bob','Carl'] vals = [2,5,4] data = [go.Bar(x=vals, y=labels, orientation='h')] fig = go.Figure(data) py.iplot(fig) 回答1: Just use parameter pad in margin . Check example from docs here. Code: import plotly.offline as

How do I add space between the tick labels and the graph in plotly (python)?

拈花ヽ惹草 提交于 2021-01-04 03:16:46
问题 If I create a horizontal bar graph using plotly, the labels for each bar are right up against the graph. I'd like to add some space/pad/margin between the label and the graph. How can I do this? Example: import plotly.offline as py import plotly.graph_objs as go labels = ['Alice','Bob','Carl'] vals = [2,5,4] data = [go.Bar(x=vals, y=labels, orientation='h')] fig = go.Figure(data) py.iplot(fig) 回答1: Just use parameter pad in margin . Check example from docs here. Code: import plotly.offline as