Is it possible to hide the index when displaying pandas DataFrames, so that only the column names appear at the top of the table?
This would need to work for both the html representation in ipython notebook and to_latex() function (which I'm using with nbconvert).
Starting from v. 0.17.1 it is possible to hide the index via styling, see hiding the index or colums: if df is your Data Frame just do
df.style.hide(axis="index")
# Legacy Pandas versions
df.style.hide_index()
Please note that styling works only in the notebook, and not within the LaTeX conversion.
.style method breaks conversion to latex/pdf, rendering only <pandas.io.formats.style.Styler at 0x......>.
As has been pointed out by @waitingkuo, index=False is what you need. If you want to keep the nice table layout within your ipython notebook, you can use:
from IPython.display import display, HTML
display(HTML(df.to_html(index=False)))
Set index=False
For ipython notebook:
print df.to_string(index=False)
For to_latex:
df.to_latex(index=False)
from IPython.display import HTML HTML(df.to_html(index=False))
Try
df.style.hide(axis="index")
Else you will see:
FutureWarning: this method is deprecated in favour of `Styler.hide(axis="index")`
df.loc[df.index,['name','depth']].style.hide_index()
See DEPR REF: hide(axis=..) replaces hide_index and hide_columns #43771
I added the following cell to my notebook which works fine in Jupyter 4.0.2.
Note: It removes the first column of 'any' table even when there is no index.
# Execute this cell to remove the first column of dataframe tables (to remove index column)
from IPython.core.display import HTML
HTML("""
<style>
table.dataframe thead th:first-child {
display: none;
}
table.dataframe tbody th {
display: none;
}
</style>
""")
The style.hide_index is depreciated since Pandas 1.4. For those wanting to know how to hide the index in Notebooks with latest pandas use:
df.style.hide(axis='index')
You just try this code, might help you.
dataframe.style.hide_index()
Set index=False.
E.g:
DataFrame.to_csv("filename", index=False)
This will work.
