熊猫:如何引用和打印多个数据aframes作为HTML表

I'm trying split out individual dataframes from a groupby to print them as pandas HTML tables. I need to reference and render them individually as tables so I can screenshot them for a presentation.

我尝试从groupby中分离出单个数据aframes，并将它们打印为熊猫HTML表。我需要引用并将它们单独呈现为表，这样我就可以通过屏幕截图来进行演示。

This is my current code:

这是我目前的代码:

import pandas as pd

df = pd.DataFrame(
    {'area': [5, 42, 20, 20, 43, 78, 89, 30, 46, 78],
     'cost': [52300, 52000, 25000, 61600, 43000, 23400, 52300, 62000, 62000, 73000], 
     'grade': [1, 3, 2, 1, 2, 2, 2, 4, 1, 2], 'size': [1045, 957, 1099, 1400, 1592, 1006, 987, 849, 973, 1005], 
     'team': ['man utd', 'chelsea', 'arsenal', 'man utd', 'man utd', 'arsenal', 'man utd', 'chelsea', 'arsenal', 'arsenal']})

result =  df.groupby(['team', 'grade']).agg({'cost':'mean', 'area':'mean', 'size':'sum'}).rename(columns={'cost':'mean_cost', 'area':'mean_area'})

dfs = {team:grp.drop('team', axis=1) 
       for team, grp in result.reset_index().groupby('team')}

for team, grp in dfs.items():
    print('{}:\n{}\n'.format(team, gap))

Which prints (as non HTML tables):

打印(非HTML表格):

chelsea:
   grade  mean_cost  mean_area  size
2      3      52000         42   957
3      4      62000         30   849

arsenal:
   grade     mean_cost  mean_area  size
0      1  62000.000000  46.000000   973
1      2  40466.666667  58.666667  3110

man utd:
   grade  mean_cost  mean_area  size
4      1      56950       12.5  2445
5      2      47650       66.0  2579

Is it possible to get these dataframes one by one as HTML tables? For the avoidance of doubt, I don't need an iterative method to return them all as HTML tables in one go - am happy to reference each one individually.

是否有可能把这些dataframes一个一个地作为HTML表?为了避免疑问，我不需要一个迭代的方法来一次性返回所有的HTML表——我很乐意分别引用每个表。

1 个解决方案

#1

As Thomas K points out, you could use IPython.core.display.display to incorporate the display of DataFrames along with print statements in an IPython notebook:

正如Thomas K所指出的，你可以使用IPython.core.display。显示在IPython笔记本中包含DataFrames的显示和打印语句:

import pandas as pd
from IPython.core import display as ICD


df = pd.DataFrame(
    {'area': [5, 42, 20, 20, 43, 78, 89, 30, 46, 78],
     'cost': [52300, 52000, 25000, 61600, 43000, 23400, 52300, 62000, 62000, 73000], 
     'grade': [1, 3, 2, 1, 2, 2, 2, 4, 1, 2], 'size': [1045, 957, 1099, 1400, 1592, 1006, 987, 849, 973, 1005], 
     'team': ['man utd', 'chelsea', 'arsenal', 'man utd', 'man utd', 'arsenal', 'man utd', 'chelsea', 'arsenal', 'arsenal']})

result =  df.groupby(['team', 'grade']).agg({'cost':'mean', 'area':'mean', 'size':'sum'}).rename(columns={'cost':'mean_cost', 'area':'mean_area'})

dfs = {team:grp.drop('team', axis=1) 
       for team, grp in result.reset_index().groupby('team')}

for team, grp in dfs.items():
    print(team)
    ICD.display(grp)

generates

生成