keyword_analytic_web/archived/test/treemap8.py

import plotly_express as px
import pandas as pd
import plotly

# Read data from excel
df = pd.read_csv("../docs/keyword.csv")
keyword = df['Keyword']

# competition = df['Competition (indexed value)']
bid = df['Top of page bid (low range)']
search = df['Avg_monthly_searches']
margin = df['Top of page bid (low range)']
remark = df['Keyword']


# 預處理刪掉不要的data
# # Create chart and store as figure [fig]
# fig = px.sunburst(df,
#                  path=[keyword, bid],
#                  values=search,
#                  color=margin,
#                  color_continuous_scale=['green', 'yellow', 'red'],
#                  title='Keyword Overview',
#                  hover_name=remark
#                  )


# Create chart and store as figure [fig]
fig = px.treemap(df,
                 path=[keyword, bid],
                 values=search,
                 color=margin,
                 # color_continuous_scale=['green', 'yellow', 'red'],
                 color_continuous_scale=px.colors.sequential.Peach,
                 title='Keyword Overview',
                 hover_name=remark,
                 )

fig.update_traces(root_color="lightgrey")


# Update/change layout
fig.update_layout(title_font_size=42,
                  title_font_family='Arial',
                  margin=dict(t=50, l=25, r=25, b=25)
                  )

fig.show()


# save chart and export to HTML
plotly.offline.plot(fig, filename='../chart.html')