我已經(jīng)編寫了以下代碼來加熱美國各州的熱圖。但我無法在 Google Colab 中獲取輸出圖像。州代碼是美國特定州的兩個字母代碼。temp = pd.DataFrame(project_data.groupby("school_state")["project_is_approved"].apply(np.mean)).reset_index()temp.columns = ['state_code', 'num_proposals']scl = [[0.0, 'rgb(242,240,247)'],[0.2, 'rgb(218,218,235)'],[0.4, 'rgb(188,189,220)'],\ [0.6, 'rgb(158,154,200)'],[0.8, 'rgb(117,107,177)'],[1.0, 'rgb(84,39,143)']]data = [ dict( type='choropleth', colorscale = scl, autocolorscale = False, locations = temp['state_code'], z = temp['num_proposals'].astype(float), locationmode = 'USA-states', text = temp['state_code'], marker = dict(line = dict (color = 'rgb(255,255,255)',width = 2)), colorbar = dict(title = "% of pro") ) ]layout = dict( title = 'Project Proposals % of Acceptance Rate by US States', geo = dict( scope='usa', projection=dict( type='albers usa' ), showlakes = True, lakecolor = 'rgb(255, 255, 255)', ), )fig = dict(data=data, layout=layout)offline.iplot(fig, filename='us-map-heat-map')我導(dǎo)入了以下庫：from chart_studio import plotlyimport plotly.offline as offlineimport plotly.graph_objs as gooffline.init_notebook_mode()from collections import Counterimport chart_studio.plotly as py
1 回答
小唯快跑啊
TA貢獻(xiàn)1863條經(jīng)驗 獲得超2個贊
使用您的數(shù)據(jù)嘗試以下代碼：（
我嘗試將您的變量放在正確的位置）
choropleth = go.Choropleth(
locations=temp['state_code'],
locationmode='USA-states',
z = temp['num_proposals'].astype(float),
zmin = 0,
zmax = max(temp['num_proposals'].astype(float)),
colorscale=scl,
autocolorscale=False,
text='Proposals',
marker_line_color='white',
colorbar_title="% Acceptance Rate"
)
fig = go.Figure(data=choropleth)
fig.update_layout(
title_text='Project Proposals % of Acceptance Rate by US States',
geo = dict(
scope='usa',
projection=go.layout.geo.Projection(type = 'albers usa'),
showlakes=True,
lakecolor='rgb(255, 255, 255)'),
)
fig.show()
此代碼的工作原理是使用您的數(shù)據(jù)創(chuàng)建 Plotly Choropleth 圖形對象，然后將該對象加載到 Plotly Figure Graph 對象中，然后更新布局（以獲得正確的標(biāo)題和縮放），最后顯示圖形。
添加回答
舉報
0/150
提交
取消