1.網上常見的方案
# PrettyTable
https://blog.csdn.net/weixin_45775963/article/details/104125439
# reportlab
https://blog.csdn.net/bocai_xiaodaidai/article/details/102820431
# matplotlib.table
https://blog.csdn.net/qq_43235685/article/details/96100174
# pyQT5
http://www.jiuaitu.com/python/471.html
不是太醜就是太複雜!
2.大救星plotly
https://plotly.com/python/table/#use-a-pandas-dataframe
import plotly.graph_objects as go
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_usa_states.csv')
fig = go.Figure(data=[go.Table(
header=dict(values=list(df.columns),
fill_color='paleturquoise',
align='left'),
cells=dict(values=[df.Rank, df.State, df.Postal, df.Population],
fill_color='lavender',
align='left'))
])
fig.show()
3.plotly環境搭建
#安裝olotly 以及依賴
pip install plotly psutil requests
#kaleido是預設導出圖檔的引擎(https://plotly.com/python/static-image-export/#specify-image-export-engine),但是有時候中文亂碼,這是plotly的預設引擎,比orca快,配置簡單
pip install kaleido
若kaleido出現中文亂碼(https://github.com/plotly/plotly.py/issues/1106),那就隻能請orca出場了,orca安裝配置參考:https://www.icode9.com/content-1-602481.html