plotly

问题 I am trying to work with plotly, specifically ploty express, to build a few visualizations. One of the things I am building is a scatterplot I have some code below, that produces a nice scatterplot: import plotly.graph_objs as go, pandas as pd, plotly.express as px df = pd.read_csv('iris.csv') fig = px.scatter(df, x='sepal_length', y='sepal_width', color='species', marker_colorscale=px.colors.sequential.Viridis) fig.show() However, I want to try and change the colorscheme, i.e., the colors

问题 I am trying to work with plotly, specifically ploty express, to build a few visualizations. One of the things I am building is a scatterplot I have some code below, that produces a nice scatterplot: import plotly.graph_objs as go, pandas as pd, plotly.express as px df = pd.read_csv('iris.csv') fig = px.scatter(df, x='sepal_length', y='sepal_width', color='species', marker_colorscale=px.colors.sequential.Viridis) fig.show() However, I want to try and change the colorscheme, i.e., the colors

问题 I have the current figure in plotly (jupyter notebook code below), and was hoping to create the effect whereby when you hover or click over each trace, the whole trace is highlighted a different colour (in this example red). I tried implementing these examples from SOF: Plotly in Python: how to highlight a trace on hover? & How do I highlight an entire trace upon hover in Plotly for Python? with no luck. If anyone could help that would be amazing. Currently each trace remains lightgrey.

问题 I have the current figure in plotly (jupyter notebook code below), and was hoping to create the effect whereby when you hover or click over each trace, the whole trace is highlighted a different colour (in this example red). I tried implementing these examples from SOF: Plotly in Python: how to highlight a trace on hover? & How do I highlight an entire trace upon hover in Plotly for Python? with no luck. If anyone could help that would be amazing. Currently each trace remains lightgrey.

问题 Is it possible using Plotly Dash to create line graphs in which the line colors are gradient (purely for aesthetics) ? I tried using something like 'line': {'color': 'linear-gradient(90deg, red, red 60%, white)' } example of entire graph code in plotly dassh dcc.Graph( id='MORTGAGE_RATES', figure={ 'data': [ { "x": MORTGAGE30US['date'],"y": MORTGAGE30US['value'],"mode": "lines","name": '30 YR', 'line': {'color': 'linear-gradient(90deg, red, red 60%, white)' }}, { "x": MORTGAGE15US['date'],"y"

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 =

问题 How can I use Plotly to produce a line plot with a shaded standard deviation? I am trying to achieve something similar to seaborn.tsplot. Any help is appreciated. 回答1: The following approach is fully flexible with regards to the number of columns in a pandas dataframe and uses the default color cycle of plotly. If the number of lines exceed the number of colors, the colors will be re-used from the start. As of now px.colors.qualitative.Plotly can be replaced with any hex color sequence that

问题 How can I use Plotly to produce a line plot with a shaded standard deviation? I am trying to achieve something similar to seaborn.tsplot. Any help is appreciated. 回答1: The following approach is fully flexible with regards to the number of columns in a pandas dataframe and uses the default color cycle of plotly. If the number of lines exceed the number of colors, the colors will be re-used from the start. As of now px.colors.qualitative.Plotly can be replaced with any hex color sequence that

来源： https://stackoverflow.com/questions/63574007/autoscale-the-plot-plotly