Plotly: Setting the marker size based on the column in the exported data?-CodePudding

The code is running well; however, in my dataset, there is a column SD in my custom dataset. I would like the size of these markers should be based on SD and I did it in the seaborn library, it is running well. However, I get errors here.

%Error is Did you mean "line"? Bad property path: size ^^^^

Code is

df=pd.read_csv("Lifecycle.csv")

df1=df[df["Specie"]=="pot_marigold"]
df1
df2=df[df["Specie"]=="Sunflowers"]
df2
trace=go.Scatter(x=df1["Days"], y=df1["Lifecycle"],text=df1["Specie"],marker={"color":"green"}, size=df1[SD],
mode="lines markers")
trace1=go.Scatter(x=df2["Days"], y=df2["Lifecycle"],text=df2["Specie"],marker={"color":"red"},
mode="lines markers")
data=[trace,trace1] 
layout=go.Layout(
    title="Lifecycle",
    xaxis={"title":"Days"},
    yaxis={"title":"Lifecycle"})

fig=go.Figure(data=data,layout=layout)
pyo.plot(fig)

CodePudding user response：

You can use plotly.express instead:

import plotly.express as px

trace=px.scatter(df, x="Days", y="Lifecycle", text="Specie", marker="SD")

CodePudding user response：

you have not provided sample data, so I have simulated based on what I can imply from your code
simply you can set marker_size within framework you have used
this type of plot is far simpler with Plotly Express have also shown code for this

import pandas as pd
import numpy as np
import plotly.graph_objects as go

# df=pd.read_csv("Lifecycle.csv")
df = pd.DataFrame(
    {
        "Specie": np.repeat(["pot_marigold", "Sunflowers"], 10),
        "Days": np.tile(np.arange(1, 11, 1), 2),
        "Lifecycle": np.concatenate(
            [np.sort(np.random.uniform(1, 5, 10)).astype(int) for _ in range(2)]
        ),
        "SD": np.random.randint(1, 8, 20),
    }
)

df1 = df[df["Specie"] == "pot_marigold"]
df2 = df[df["Specie"] == "Sunflowers"]
trace = go.Scatter(
    x=df1["Days"],
    y=df1["Lifecycle"],
    text=df1["Specie"],
    marker={"color": "green"},
    marker_size=df1["SD"],
    mode="lines markers",
)
trace1 = go.Scatter(
    x=df2["Days"],
    y=df2["Lifecycle"],
    text=df2["Specie"],
    marker={"color": "red"},
    mode="lines markers",
)
data = [trace, trace1]
layout = go.Layout(
    title="Lifecycle", xaxis={"title": "Days"}, yaxis={"title": "Lifecycle"}
)

fig = go.Figure(data=data, layout=layout)

fig

Plotly Express

import plotly.express as px

px.scatter(
    df,
    x="Days",
    y="Lifecycle",
    color="Specie",
    size="SD",
    color_discrete_map={"pot_marigold": "green", "Sunflowers": "red"},
).update_traces(mode="lines markers")