plotly

问题 How would one plot a vertical line in plotly offline, using python? I want to add lines at x=20, x=40, and x=60, all in the same plot. def graph_contracts(self): trace1 = go.Scatter( x=np.array(range(len(all_prices))), y=np.array(all_prices), mode='markers', marker=dict(size=10, color='rgba(152, 0, 0, .8)')) data = [trace1] layout = go.Layout(title='Market Contracts by Period', xaxis=dict(title='Contract #', titlefont=dict(family='Courier New, monospace', size=18, color='#7f7f7f')), yaxis

问题 I have a pandas dataframe which looks like this: A B 1 USA Y 3 USA Y 4 USA N 5 India Y 8 India N 12 USA N 14 USA Y 19 USA Y I want to make a countplot for this dataframe. That is, the plot will have country names on X-axis and the counts for each category on Y-axis . I know I can do this in seaborn like this: sns.countplot(x='A', data=df, hue='B') But this will not be an interactive plot. I want to achieve the same thing in plotly but I am having a hard time figuring it out. Can anyone please

问题 Here's what I have, so far: f1 <- list( family = "Arial, sans-serif", size = 25, color = "white" ) f2 <- list( family = "Old Standard TT, serif", size = 14, color = "black" ) a <- list( title = "SALES PER SONG", titlefont = f1, showgrid = FALSE, showticklabels = TRUE, showline=TRUE, tickangle = 45, tickfont = f2 ) salesplot <-plot_ly(producersales, type="scatter", x=Producer, y=SalesPerSong, color=SongRange, colors=cols, mode="markers", size=SalesPerSong) %>% layout(xaxis = a, yaxis = a) I

问题 I want to export the site I've made in dash into a static PDF. Here is the code for my site (it's just a chart with 3 columns): import dash import dash_core_components as dcc import dash_html_components as html import pdfkit from flask import Flask, render_template, make_response app = dash.Dash() app.layout = html.Div( className="three columns", children=html.Div([ dcc.Graph( id='right-top-graph', figure={ 'data': [{ 'x': [1, 2, 3], 'y': [3, 1, 2], 'type': 'bar' }], 'layout': { 'height': 400

问题 When I set barmode='group' in Layout while trace2 = Bar(...,yaxis='y2') , this leads bars to be stacked or overlayed instead of grouping them. How can I group the bars while having multiple axes? I went over these but no avail: With single Y axis grouped bar chart is shown here. Multiple axes is also explained here and reference for y-axis is available here 回答1: Here's an example of a grouped bar charts with multiple axes: https://plot.ly/~etpinard/2080/grouped-bars-on-multiple-axes/ The

问题 The MWE below oversimplifies my real goal. However, I have a background image that takes a long time to draw (in the example below it is simply a scatterplot of 32 mtcars dataset values). Users can click on certain points from my background image, and this will cause new points to be plotted. My aim is for these new points to simply be redrawn on the top layer, while the background image scatterplot does not need to be redrawn to save time and computation. My MWE is as follows: library(plotly

问题 In Plotly for Python, we have this beautiful multiple y-axis example: here is the link for the code. I tried to do the same with Plotly in R using this code: library(plotly) x <- 1:4 y1 <- c(1,2,3,4) y2 <- c(4,3,2,1) y3 <- c(1,4,1,4) y4 <- c(4,1,4,1) test <- data.frame(x, y1, y2, y3, y4) plot_ly(data = test, x = ~x, y = ~y1 ,type = "scatter", mode = "lines", width = 800, color = I("red") ,name = "name01") %>% add_trace(x = ~x, y = ~y2, yaxis = "y2", color = I("blue"), name = "name02") %>% add

问题 I installed plotly.py to work some plots using Jupyter but I cannot import it. ! pip install plotly --upgrade Requirement already up-to-date: plotly in c:\python34\lib\site-packages Requirement already up-to-date: requests in c:\python34\lib\site-packages (from plotly) Requirement already up-to-date: six in c:\python34\lib\site-packages (from plotly) Requirement already up-to-date: pytz in c:\python34\lib\site-packages (from plotly) Cleaning up... and then import plotly ----------------------

问题 I installed plotly.py to work some plots using Jupyter but I cannot import it. ! pip install plotly --upgrade Requirement already up-to-date: plotly in c:\python34\lib\site-packages Requirement already up-to-date: requests in c:\python34\lib\site-packages (from plotly) Requirement already up-to-date: six in c:\python34\lib\site-packages (from plotly) Requirement already up-to-date: pytz in c:\python34\lib\site-packages (from plotly) Cleaning up... and then import plotly ----------------------

问题 Below is an example for creating a contour plot with plotly.js. Some of the contour lines overlap . How can I alter the plotly settings to avoid that (e.g. increase resolution , switch contouring algorithm )? If I plot the same data using conrec.js the contours do not overlap. A. Conrec.js (this works, no overlap) Source code for the example: https://github.com/jasondavies/conrec.js/tree/master/example B. Plotly.js (does not work: overlapping contours) Source code for the example: https:/