Advertisements I have the following code: def get_amp_graph(): ampfig = go.Figure(go.Bar(x=[‘1540’, ‘Average’], y=get_amp_acc())) ampfig.update_layout(plot_bgcolor=’rgb(28, 28, 28)’) amp_html = ampfig.to_html ( include_plotlyjs=True, full_html=False, ) return amp_html I want the background color to be rgb(28, 28, 28), but then this happens. How could I make the remaining white also turn rgb(28, 28, 28) >Solution : To make… Read More How to get rid of plotly bar chart background color

Advertisements please I have the following data and plot with subplots: library(plotly) # Create example data set.seed(123) df <- data.frame( DATE = seq(as.Date("2021-01-01"), as.Date("2021-01-10"), by = "day"), FEATURE1 = rnorm(10), FEATURE2 = rnorm(10), FEATURE3 = rnorm(10), FEATURE4 = rnorm(10), FEATURE5 = rnorm(10), FEATURE6 = rnorm(10), FEATURE7 = rnorm(10), FEATURE8 = rnorm(10), FEATURE9 = rnorm(10), FEATURE10… Read More Formatting a plotly plot with many subplots in R

Advertisements I want to create a donut chart with plotly based on a group and showing the text of the subgroup in the hover info. My data looks like follows: Type country_group type_group Value <chr> <chr> <chr> <int> 1 Biomass Central Res 694531 2 Fossil Gas Central Gas 3744726 3 Fossil Hard coal Central Coal… Read More Add subgroup text to plotly pie chart

Advertisements I have two functions, called update_y_with_x and update_x which are as follows: update_y_with_x def update_y_with_x(chosen_tissue): for i, trace in enumerate(f.data): if trace.type == "scatter": # reset all line width f.data[i].line.width = 1 if chosen_tissue in trace.text: f.data[i].line.width = 1 + 9 update_x def update_x(trace, points, selector): if len(points.point_inds) == 0: return # Remove existing… Read More Passing arguments to a nested function in Python

Advertisements import plotly.express as px df = px.data.tips() fig = px.histogram( pd.DataFrame({‘price’: prices}), x="price", ) fig.show() Is there a way to separate the different bins? >Solution : You can use ‘update_layout(bargap=<gap_value>’ before show it! And for a better visualization, you can group bars by a range, like 10 to 20. import plotly.express as px import… Read More How to add space between bars using Plotly?

Advertisements I have the following pandas dataframe import pandas as pd foo = pd.DataFrame({‘country’: {0: ‘a’, 1: ‘b’, 2: ‘c’, 3: ‘d’, 4: ‘e’}, ‘unweighted’: {0: 18.0, 1: 16.9, 2: 13.3, 3: 11.3, 4: 13.1}, ‘weighted_1’: {0: 17.7, 1: 15.8, 2: 14.0, 3: 11.2, 4: 12.8}, ‘weighted_2’: {0: 17.8, 1: 15.8, 2: 14.0, 3: 11.2,… Read More How to add text at barchart, when y is a list, using plotly express

Advertisements I have a shinyapp and use plotly-Plots. I have to use webGL, otherwise I do not get an acceptable performance. However it seems, the approach for removing hover here Remove hover info text from a plotly object does not work. My minimal example: library(shiny) library(ggplot2) library(plotly) ui <- fluidPage( plotlyOutput("po") ) server <- function(input,… Read More How do I remove hover from plotly graph produced with ggplotly or toWebGL

Advertisements I’m learning React and trying to understand what I’m doing wrong. I have an endpoint like this in main.py: def get_db_data(): engine = create_engine(config.get(‘database’, ‘con’)) table = ‘raw_data’ df = pd.read_sql(table, engine) return df @app.get("/rawdata", tags=[‘data’], status_code=200) async def raw_data(): data = get_db_data() return data.to_dict() for the sake of brevity, it renders a Pandas… Read More React Json data from endpoint not working with Plotly

Advertisements I have a bunch of plotly plots. I am giving example from the plotly site. I want to plot all of them in dark mode. I have to manually enter template="plotly_dark" for each plot. How can I change the default setting of my display so that I do not have to manually enter template="plotly_dark"… Read More Change mode for plotly.express

Advertisements import plotly.express as px import pandas as pd df = pd.DataFrame(dict( r=[1,2,3], theta=[‘a’, ‘b’,’c’])) fig = px.line_polar(df, r=[1,2,3], theta=[‘a’,’b’,’c’], line_close=True) fig.update_polars(radialaxis_tickvals=[1,2,3,4,5], radialaxis_tickmode=’array’) fig.show() I have code like so that is able to generate a polar chart that looks like below However what I want is to ensure that the maximum value of my tickvals… Read More Python Plotly how to show axis values outside your dataset's max value?