markdown 使用python在jupyter上并排显示表的4种不同方法。
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source : https://stackoverflow.com/questions/38783027/jupyter-notebook-display-two-pandas-tables-side-by-side
# METHOD 1
```python
from IPython.display import display, HTML
CSS = """
.output {
flex-direction: row;
}
"""
HTML('<style>{}</style>'.format(CSS))
display(df)
```
# METHOD 2
```python
from IPython.display import display_html
def display_side_by_side(*args):
html_str=''
for df in args:
html_str += df.to_html()
html_str += '\t'
display_html(html_str.replace('table','table style="display:inline"'), raw=True)
```
# METHOD 2
```python
from IPython.display import display_html
def display_side_by_side(*args):
html_str=''
for df in args:
html_str += df.to_html()
html_str += '\t'
display_html(html_str.replace('table','table style="display:inline"'), raw=True)
```
# METHOD 3
```python
from IPython.display import display, HTML
def multi_column_df_display(list_dfs, cols=3):
html_table = "<table style='width:100%; border:0px'>{content}</table>"
html_row = "<tr style='border:0px'>{content}</tr>"
html_cell = "<td style='width:{width}%;vertical-align:top;border:0px'>"\
"{{content}}</td>"
html_cell = html_cell.format(width=100/cols)
cells = [ html_cell.format(content=df.to_html()) for df in list_dfs ]
cells += (cols - (len(list_dfs)%cols)) * [html_cell.format(content="")] # pad
rows = [html_row.format(content="".join(cells[i:i+cols])) for i in range(0, len(cells), cols)]
display(HTML(html_table.format(content="".join(rows))))
```
# METHOD 4
```python
class display(object):
"""Display HTML representation of multiple objects"""
template = """<div style="float: left; padding: 10px;">
<p style='font-family:"Courier New", Courier, monospace'>{0}</p>{1}
</div>"""
def __init__(self, *args):
self.args = args
def _repr_html_(self):
return '\n'.join(self.template.format(a, eval(a)._repr_html_())
for a in self.args)
def __repr__(self):
return '\n\n'.join(a + '\n' + repr(eval(a))
for a in self.args)
```
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