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python - 如何使用 plotly 和 streamlit 绘制 groupby

问题描述

我有一个由 3 列组成的数据框我想绘制 3 列的交叉表结果

到目前为止，我能够绘制分组 2 列的条形图。在 jupyter notebook 上不使用 streamlit

当我尝试使用 streamlit 时，它显示以下错误：

TypeError: add_trace() missing 1 required positional argument: 'trace'

那么我的代码中的错误在哪里？

代码：

import streamlit as st
import pandas as pd 
import plotly.express as px
import plotly.graph_objs as go

#create a canvas for each item
interactive =  st.beta_container()

df =pd.DataFrame({"source_number":[11199,11328,11287,32345,12342,1232,13456,123244,1235],
       "location":["loc1","loc2","loc3","loc1","loc1","loc2","loc3","loc2","loc1"],
       "category":["cat1","cat3","cat1","cat3","cat2","cat3","cat2","cat3","cat1"],
       }) 

all_columns_names= df.columns.tolist()
selected_column_names = st.multiselect("select column to plot",all_columns_names)

s = df[selected_column_names[0]].str.strip().value_counts()


with interactive:
    fig = go.Figure
    for name,group in df.groupby(selected_column_names[0]):
        trace =go.Histogram()
        trace.name = name 
        trace.x = group[selected_column_names[1]]
        fig.add_trace(trace)
    fig.show()

标签： pythonpandasplotlypandas-groupbystreamlit

解决方案

这里可能还有更多事情要做，但你()在fig = go.Figure()这里失踪了：

with interactive:
    fig = go.Figure
    for name,group in df.groupby(selected_column_names[0]):

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