def job_city_geo(df):
job_place = df['作業地點'].value_counts()[0:40]
job_indexs = [x for i, x in enumerate(job_place.index)]
counts = [job_place[i] for i in job_indexs]
# list_city = []
# for i, x in enumerate(ser.index):
# tuple_city = (x, ser[i])
# list_city.append(tuple_city)
# list_city = list_city[0:40]
geo = Geo("python職位在全國分布(前40城市排名)地理坐標系圖", title_color="#fff",
title_pos="center", width=1200,
height=600, background_color='#404a59')
# attr, value = geo.cast(list_city)
geo.add("", attr=job_indexs, value=https://bbs.csdn.net/topics/counts, visual_range=[0, 1400], visual_text_color="#fff",
symbol_size=12, is_visualmap=True, is_roam=False)
geo.render('python職位在全國分布(前40城市排名)地理坐標系圖.html')
if __name__ == '__main__':
job_city_geo(data)

轉載請註明出處,本文鏈接:https://www.uj5u.com/qita/52647.html
下一篇:求助下geany選單欄亂碼問題!
