plotly-express

问题 When I use Plotly express to plot different parameters with different ranges - in the example below, BloodPressureHigh, Height(cm), Weight(kg), and BloodPressureLow - using the facet_col argument, I am unable to get the resulting plot to display the unique YTicks for each of the faceted plots. Is there an easy method for the fig object to show each set of YTicks in the resulting faceted plot? Otherwise, as you can see in the resulting image, it is unclear that each box plot is on its own

问题 When I use Plotly express to plot different parameters with different ranges - in the example below, BloodPressureHigh, Height(cm), Weight(kg), and BloodPressureLow - using the facet_col argument, I am unable to get the resulting plot to display the unique YTicks for each of the faceted plots. Is there an easy method for the fig object to show each set of YTicks in the resulting faceted plot? Otherwise, as you can see in the resulting image, it is unclear that each box plot is on its own

问题 I am currently using plotly express to create a Sunburst Chart. However, i realized that children are ordered alphabetical for nominal values. Especially for plotting months that is pretty unlucky... Do you know how to handle that issue? Maybe a property or some workaround? Below there is an example so you can try it yourself. Thanks in advance! import plotly.express as px import pandas as pd import calendar months = [x for x in calendar.month_name if x] #Create Dataframe data = [] for m in

问题 plotly.express is very convenient to produce nice interactive plots. The code below generates a line chart colored by country. Now what I need is to add points to the plot. Does anyone know how I can add points to the line chart? import plotly.express as px gapminder = px.data.gapminder().query("continent=='Oceania'") fig = px.line(gapminder, x="year", y="lifeExp", color='country') fig.show() 回答1: Use fig.update_traces(mode='markers+lines') Plot: Code: import plotly.express as px gapminder =

问题 plotly.express is very convenient to produce nice interactive plots. The code below generates a line chart colored by country. Now what I need is to add points to the plot. Does anyone know how I can add points to the line chart? import plotly.express as px gapminder = px.data.gapminder().query("continent=='Oceania'") fig = px.line(gapminder, x="year", y="lifeExp", color='country') fig.show() 回答1: Use fig.update_traces(mode='markers+lines') Plot: Code: import plotly.express as px gapminder =

来源： https://stackoverflow.com/questions/64100889/add-dropdown-menu-to-plotly-express-treemap

问题 I just installed plotly express. And I am trying to do something simple - plot each column of my data frame on the same y-axis with the index as x-axis. Here are questions/observations: Is it necessary for the data frame to have index as a column to be used as x-axis ? Can I not directly use the index for x-axis? How can I add multiple traces as were called in plotly on y-axis for the same x-axis ? Please note that, I am not trying to add traces using plotly, rather trying to use plotly

问题 I just installed plotly express. And I am trying to do something simple - plot each column of my data frame on the same y-axis with the index as x-axis. Here are questions/observations: Is it necessary for the data frame to have index as a column to be used as x-axis ? Can I not directly use the index for x-axis? How can I add multiple traces as were called in plotly on y-axis for the same x-axis ? Please note that, I am not trying to add traces using plotly, rather trying to use plotly

问题 I am willing to plot 3 timeseries on the same chart. Datasource is a pandas.DataFrame() object, the type of Timestamp being datetime.date , and the 3 different time series drawn from the same column Value using the color argument of plotly.express.line() . The 3 lines show on the chart, but each one is accompanied by some sort of trendline. I can't see in the function signature how to disable those trendlines. Can you please help? I have made several attempts, e.g. using another color , but

问题 I see that the hovermode attribute in layout has options for x or y , but is it possible to use an arbitrary dataframe column? instead? For example, I'm plotting precision-recall curves. The x-axis is recall, and the y-axis is precision. The independent variable is a detection threshold value (with range of np.linspace(0,1.0,101) ) with a column in my dataframe called threshold . When I hover over a precision-recall point, what I'm interested in is points on other curves with the same