Changing column label Python plotly?-CodePudding

How to change column titles? First column title should say "4-Year" and 2nd column title "2-Year". I tried using label={} but kept getting an error.

df = pd.read_csv('college_data.csv')
    df1 = df[df.years > 2]
    df2 = df[df.years < 3]

    #CUNY College Table
    fig = go.Figure(data=[go.Table(
        header=dict(values=list(df1[['college_name', 'college_name']]),
                    fill_color='paleturquoise',
                    font_color='gray',
                    align='left',
                    height = 50,
                    font=dict(size=26),
                    ),
        cells=dict(values=[df1.college_name, df2.college_name],
                height = 50,
                fill_color='lavender',
                align='left',
                font=dict(size=20),
                ))
    ])
    fig.update_layout(title = "CUNY Colleges",
                        width = 900,
                        height = 1320,
                        font_family='Palanquin',
                        font=dict(size=30),
                        showlegend = False)

    st.plotly_chart(fig)

CodePudding user response：

Change

values=list(df1[['college_name', 'college_name']]),

values=["4-year", "2-year"],

e.g.

fig = go.Figure(data=[go.Table(
        header=dict(values=["4-year", "2-year"],
        ...

Calling list on a pandas DataFrame returns a list of the column names of that dataframe, so list(df1[['college_name', 'college_name']]) is essentially identical to ['college_name', 'college_name'].