html - Reformatting column width when using pandas dataframe.to_html() -

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i have pandas dataframe want display table in html template. works part, of strings in dataframe being truncated. using to_html() convert pandas dataframe html friendly table , tried using col_space argument didn't seem have affect.

the python code:

options = dbi.getdbtables()  #returns list of names of available tables  table_headers = []  table_name in options:     table_name = str(table_name)     df = dbi.selectdf("select * %s limit 1" % table_name)  #gets actual dataframe each table name     header = df.columns.values     header = "<br>".join(header)     table_headers.append(header)  header_dict = dict(zip(options,table_headers)) table_options = pandas.dataframe(header_dict,index=[0]) table_options = table_options.to_html(classes=["table table-hover"],index=false,escape=false,col_space=400)  #changing col_space nothing. search_dict = {'table_names':table_options}

the html code:

<div class="table-responsive">    {{ table_names | safe }} </div>

picture of table truncation occurring: enter image description here

how pandas stop truncating (shown '...' in picture) content?

much appreciated!

just needed set pandas.set_option('display.max_colwidth',100)


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