使用 pandas.DataFrame.to_html 时如何设置列宽？
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How do I set the column width when using pandas.DataFrame.to_html?
提问by Xonnel Haon
I have read this, but I am still confused about how I set the column width when using pandas.DataFrame.to_html.
我已经阅读了这篇文章，但我仍然对使用pandas.DataFrame.to_html.
import datetime
import pandas
data = {'Los Angles': {datetime.date(2018, 9, 24): 20.5, datetime.date(2018, 9, 25): 1517.1},
'London': {datetime.date(2018, 9, 24): 0, datetime.date(2018, 9, 25): 1767.4},
'Kansas City': {datetime.date(2018, 9, 24): 10, datetime.date(2018, 9, 25): 1.4}}
df = pandas.DataFrame(data=data)
html = df.to_html()
The above code results in :
上面的代码导致：
How do I go about forcing the column width so that they are the same?
我如何强制列宽使它们相同？
回答by Irfanuddin
Try this:
尝试这个：
import datetime
import pandas
data = {'Los Angles': {datetime.date(2018, 9, 24): 20.5, datetime.date(2018, 9, 25): 1517.1},
'London': {datetime.date(2018, 9, 24): 0, datetime.date(2018, 9, 25): 1767.4},
'Kansas City': {datetime.date(2018, 9, 24): 10, datetime.date(2018, 9, 25): 1.4}}
df = pandas.DataFrame(data=data)
pandas.set_option('display.max_colwidth', 40)
html = df.to_html()
回答by bender
I find it better to use the set_table_attributes function. You are then able to set e.g. a CSS-class to the table. In case you have many tables on your output it is much better readable.
我发现最好使用 set_table_attributes 函数。然后您就可以为表格设置例如一个 CSS 类。如果您的输出中有很多表，它的可读性会更好。
import datetime
import pandas
data = {'Los Angles': {datetime.date(2018, 9, 24): 20.5, datetime.date(2018, 9, 25): 1517.1},
'London': {datetime.date(2018, 9, 24): 0, datetime.date(2018, 9, 25): 1767.4},
'Kansas City': {datetime.date(2018, 9, 24): 10, datetime.date(2018, 9, 25): 1.4}}
df = pandas.DataFrame(data=data)
html = df.set_table_attributes('class="table-style"').to_html()
Your CSS could look something like that:
你的 CSS 可能看起来像这样：
.table-style {
width: 100%;
}
.table-style td {
width: 100px;
}
