.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_examples/tableone/plot_main01.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download__examples_tableone_plot_main01.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr__examples_tableone_plot_main01.py:


01. Basic example
-----------------

Basic usage of the tableone library.

.. GENERATED FROM PYTHON SOURCE LINES 8-37

.. code-block:: default
   :lineno-start: 8

    # Libraries
    import pandas as pd

    from tableone import TableOne

    # Load data
    url="https://raw.githubusercontent.com/tompollard/data/master/primary-biliary-cirrhosis/pbc.csv"
    data=pd.read_csv(url)

    # List of columns
    columns = [
        'age', 'bili', 'albumin', 'ast',
        'platelet', 'protime', 'ascites',
        'hepato', 'spiders', 'edema', 'sex',
        'trt'
    ]

    # Specify categorical columns
    categorical = ['ascites','hepato','edema','sex','spiders','trt']

    # Define groupby and not normal
    groupby = 'trt'
    nonnormal = ['bili']

    # Create descriptive table
    mytable = TableOne(data, columns, categorical,
                       groupby, nonnormal, pval=True)









.. GENERATED FROM PYTHON SOURCE LINES 38-40

.. code-block:: default
   :lineno-start: 38

    mytable.tableone






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <div>
    <style scoped>
        .dataframe tbody tr th:only-of-type {
            vertical-align: middle;
        }

        .dataframe tbody tr th {
            vertical-align: top;
        }

        .dataframe thead tr th {
            text-align: left;
        }
    </style>
    <table border="1" class="dataframe">
      <thead>
        <tr>
          <th></th>
          <th></th>
          <th colspan="5" halign="left">Grouped by trt</th>
        </tr>
        <tr>
          <th></th>
          <th></th>
          <th>Missing</th>
          <th>Overall</th>
          <th>1.0</th>
          <th>2.0</th>
          <th>P-Value</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>n</th>
          <th></th>
          <td></td>
          <td>418</td>
          <td>158</td>
          <td>154</td>
          <td></td>
        </tr>
        <tr>
          <th>age, mean (SD)</th>
          <th></th>
          <td>0</td>
          <td>50.7 (10.4)</td>
          <td>51.4 (11.0)</td>
          <td>48.6 (10.0)</td>
          <td>0.018</td>
        </tr>
        <tr>
          <th>bili, median [Q1,Q3]</th>
          <th></th>
          <td>0</td>
          <td>1.4 [0.8,3.4]</td>
          <td>1.4 [0.8,3.2]</td>
          <td>1.3 [0.7,3.6]</td>
          <td>0.842</td>
        </tr>
        <tr>
          <th>albumin, mean (SD)</th>
          <th></th>
          <td>0</td>
          <td>3.5 (0.4)</td>
          <td>3.5 (0.4)</td>
          <td>3.5 (0.4)</td>
          <td>0.874</td>
        </tr>
        <tr>
          <th>ast, mean (SD)</th>
          <th></th>
          <td>106</td>
          <td>122.6 (56.7)</td>
          <td>120.2 (54.5)</td>
          <td>125.0 (58.9)</td>
          <td>0.460</td>
        </tr>
        <tr>
          <th>platelet, mean (SD)</th>
          <th></th>
          <td>11</td>
          <td>257.0 (98.3)</td>
          <td>258.8 (100.3)</td>
          <td>265.2 (90.7)</td>
          <td>0.554</td>
        </tr>
        <tr>
          <th>protime, mean (SD)</th>
          <th></th>
          <td>2</td>
          <td>10.7 (1.0)</td>
          <td>10.7 (0.9)</td>
          <td>10.8 (1.1)</td>
          <td>0.199</td>
        </tr>
        <tr>
          <th rowspan="2" valign="top">ascites, n (%)</th>
          <th>0.0</th>
          <td>106</td>
          <td>288 (92.3)</td>
          <td>144 (91.1)</td>
          <td>144 (93.5)</td>
          <td>0.567</td>
        </tr>
        <tr>
          <th>1.0</th>
          <td></td>
          <td>24 (7.7)</td>
          <td>14 (8.9)</td>
          <td>10 (6.5)</td>
          <td></td>
        </tr>
        <tr>
          <th rowspan="2" valign="top">hepato, n (%)</th>
          <th>0.0</th>
          <td>106</td>
          <td>152 (48.7)</td>
          <td>85 (53.8)</td>
          <td>67 (43.5)</td>
          <td>0.088</td>
        </tr>
        <tr>
          <th>1.0</th>
          <td></td>
          <td>160 (51.3)</td>
          <td>73 (46.2)</td>
          <td>87 (56.5)</td>
          <td></td>
        </tr>
        <tr>
          <th rowspan="2" valign="top">spiders, n (%)</th>
          <th>0.0</th>
          <td>106</td>
          <td>222 (71.2)</td>
          <td>113 (71.5)</td>
          <td>109 (70.8)</td>
          <td>0.985</td>
        </tr>
        <tr>
          <th>1.0</th>
          <td></td>
          <td>90 (28.8)</td>
          <td>45 (28.5)</td>
          <td>45 (29.2)</td>
          <td></td>
        </tr>
        <tr>
          <th rowspan="3" valign="top">edema, n (%)</th>
          <th>0.0</th>
          <td>0</td>
          <td>354 (84.7)</td>
          <td>132 (83.5)</td>
          <td>131 (85.1)</td>
          <td>0.877</td>
        </tr>
        <tr>
          <th>0.5</th>
          <td></td>
          <td>44 (10.5)</td>
          <td>16 (10.1)</td>
          <td>13 (8.4)</td>
          <td></td>
        </tr>
        <tr>
          <th>1.0</th>
          <td></td>
          <td>20 (4.8)</td>
          <td>10 (6.3)</td>
          <td>10 (6.5)</td>
          <td></td>
        </tr>
        <tr>
          <th rowspan="2" valign="top">sex, n (%)</th>
          <th>f</th>
          <td>0</td>
          <td>374 (89.5)</td>
          <td>137 (86.7)</td>
          <td>139 (90.3)</td>
          <td>0.421</td>
        </tr>
        <tr>
          <th>m</th>
          <td></td>
          <td>44 (10.5)</td>
          <td>21 (13.3)</td>
          <td>15 (9.7)</td>
          <td></td>
        </tr>
        <tr>
          <th rowspan="2" valign="top">trt, n (%)</th>
          <th>1.0</th>
          <td>106</td>
          <td>158 (50.6)</td>
          <td>158 (100.0)</td>
          <td></td>
          <td>&lt;0.001</td>
        </tr>
        <tr>
          <th>2.0</th>
          <td></td>
          <td>154 (49.4)</td>
          <td></td>
          <td>154 (100.0)</td>
          <td></td>
        </tr>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 41-42

Convert to html

.. GENERATED FROM PYTHON SOURCE LINES 42-45

.. code-block:: default
   :lineno-start: 42

    html = mytable.to_html()
    html





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none


    '<table border="1" class="dataframe">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th colspan="5" halign="left">Grouped by trt</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th>Missing</th>\n      <th>Overall</th>\n      <th>1.0</th>\n      <th>2.0</th>\n      <th>P-Value</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>n</th>\n      <th></th>\n      <td></td>\n      <td>418</td>\n      <td>158</td>\n      <td>154</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>age, mean (SD)</th>\n      <th></th>\n      <td>0</td>\n      <td>50.7 (10.4)</td>\n      <td>51.4 (11.0)</td>\n      <td>48.6 (10.0)</td>\n      <td>0.018</td>\n    </tr>\n    <tr>\n      <th>bili, median [Q1,Q3]</th>\n      <th></th>\n      <td>0</td>\n      <td>1.4 [0.8,3.4]</td>\n      <td>1.4 [0.8,3.2]</td>\n      <td>1.3 [0.7,3.6]</td>\n      <td>0.842</td>\n    </tr>\n    <tr>\n      <th>albumin, mean (SD)</th>\n      <th></th>\n      <td>0</td>\n      <td>3.5 (0.4)</td>\n      <td>3.5 (0.4)</td>\n      <td>3.5 (0.4)</td>\n      <td>0.874</td>\n    </tr>\n    <tr>\n      <th>ast, mean (SD)</th>\n      <th></th>\n      <td>106</td>\n      <td>122.6 (56.7)</td>\n      <td>120.2 (54.5)</td>\n      <td>125.0 (58.9)</td>\n      <td>0.460</td>\n    </tr>\n    <tr>\n      <th>platelet, mean (SD)</th>\n      <th></th>\n      <td>11</td>\n      <td>257.0 (98.3)</td>\n      <td>258.8 (100.3)</td>\n      <td>265.2 (90.7)</td>\n      <td>0.554</td>\n    </tr>\n    <tr>\n      <th>protime, mean (SD)</th>\n      <th></th>\n      <td>2</td>\n      <td>10.7 (1.0)</td>\n      <td>10.7 (0.9)</td>\n      <td>10.8 (1.1)</td>\n      <td>0.199</td>\n    </tr>\n    <tr>\n      <th rowspan="2" valign="top">ascites, n (%)</th>\n      <th>0.0</th>\n      <td>106</td>\n      <td>288 (92.3)</td>\n      <td>144 (91.1)</td>\n      <td>144 (93.5)</td>\n      <td>0.567</td>\n    </tr>\n    <tr>\n      <th>1.0</th>\n      <td></td>\n      <td>24 (7.7)</td>\n      <td>14 (8.9)</td>\n      <td>10 (6.5)</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th rowspan="2" valign="top">hepato, n (%)</th>\n      <th>0.0</th>\n      <td>106</td>\n      <td>152 (48.7)</td>\n      <td>85 (53.8)</td>\n      <td>67 (43.5)</td>\n      <td>0.088</td>\n    </tr>\n    <tr>\n      <th>1.0</th>\n      <td></td>\n      <td>160 (51.3)</td>\n      <td>73 (46.2)</td>\n      <td>87 (56.5)</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th rowspan="2" valign="top">spiders, n (%)</th>\n      <th>0.0</th>\n      <td>106</td>\n      <td>222 (71.2)</td>\n      <td>113 (71.5)</td>\n      <td>109 (70.8)</td>\n      <td>0.985</td>\n    </tr>\n    <tr>\n      <th>1.0</th>\n      <td></td>\n      <td>90 (28.8)</td>\n      <td>45 (28.5)</td>\n      <td>45 (29.2)</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th rowspan="3" valign="top">edema, n (%)</th>\n      <th>0.0</th>\n      <td>0</td>\n      <td>354 (84.7)</td>\n      <td>132 (83.5)</td>\n      <td>131 (85.1)</td>\n      <td>0.877</td>\n    </tr>\n    <tr>\n      <th>0.5</th>\n      <td></td>\n      <td>44 (10.5)</td>\n      <td>16 (10.1)</td>\n      <td>13 (8.4)</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>1.0</th>\n      <td></td>\n      <td>20 (4.8)</td>\n      <td>10 (6.3)</td>\n      <td>10 (6.5)</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th rowspan="2" valign="top">sex, n (%)</th>\n      <th>f</th>\n      <td>0</td>\n      <td>374 (89.5)</td>\n      <td>137 (86.7)</td>\n      <td>139 (90.3)</td>\n      <td>0.421</td>\n    </tr>\n    <tr>\n      <th>m</th>\n      <td></td>\n      <td>44 (10.5)</td>\n      <td>21 (13.3)</td>\n      <td>15 (9.7)</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th rowspan="2" valign="top">trt, n (%)</th>\n      <th>1.0</th>\n      <td>106</td>\n      <td>158 (50.6)</td>\n      <td>158 (100.0)</td>\n      <td></td>\n      <td>&lt;0.001</td>\n    </tr>\n    <tr>\n      <th>2.0</th>\n      <td></td>\n      <td>154 (49.4)</td>\n      <td></td>\n      <td>154 (100.0)</td>\n      <td></td>\n    </tr>\n  </tbody>\n</table>'



.. GENERATED FROM PYTHON SOURCE LINES 46-47

Lets tabulate for github.

.. GENERATED FROM PYTHON SOURCE LINES 47-49

.. code-block:: default
   :lineno-start: 47

    print(mytable.tabulate(tablefmt="github"))





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    |                      |     | Missing   | Overall       | 1.0           | 2.0           | P-Value   |
    |----------------------|-----|-----------|---------------|---------------|---------------|-----------|
    | n                    |     |           | 418           | 158           | 154           |           |
    | age, mean (SD)       |     | 0         | 50.7 (10.4)   | 51.4 (11.0)   | 48.6 (10.0)   | 0.018     |
    | bili, median [Q1,Q3] |     | 0         | 1.4 [0.8,3.4] | 1.4 [0.8,3.2] | 1.3 [0.7,3.6] | 0.842     |
    | albumin, mean (SD)   |     | 0         | 3.5 (0.4)     | 3.5 (0.4)     | 3.5 (0.4)     | 0.874     |
    | ast, mean (SD)       |     | 106       | 122.6 (56.7)  | 120.2 (54.5)  | 125.0 (58.9)  | 0.460     |
    | platelet, mean (SD)  |     | 11        | 257.0 (98.3)  | 258.8 (100.3) | 265.2 (90.7)  | 0.554     |
    | protime, mean (SD)   |     | 2         | 10.7 (1.0)    | 10.7 (0.9)    | 10.8 (1.1)    | 0.199     |
    | ascites, n (%)       | 0.0 | 106       | 288 (92.3)    | 144 (91.1)    | 144 (93.5)    | 0.567     |
    |                      | 1.0 |           | 24 (7.7)      | 14 (8.9)      | 10 (6.5)      |           |
    | hepato, n (%)        | 0.0 | 106       | 152 (48.7)    | 85 (53.8)     | 67 (43.5)     | 0.088     |
    |                      | 1.0 |           | 160 (51.3)    | 73 (46.2)     | 87 (56.5)     |           |
    | spiders, n (%)       | 0.0 | 106       | 222 (71.2)    | 113 (71.5)    | 109 (70.8)    | 0.985     |
    |                      | 1.0 |           | 90 (28.8)     | 45 (28.5)     | 45 (29.2)     |           |
    | edema, n (%)         | 0.0 | 0         | 354 (84.7)    | 132 (83.5)    | 131 (85.1)    | 0.877     |
    |                      | 0.5 |           | 44 (10.5)     | 16 (10.1)     | 13 (8.4)      |           |
    |                      | 1.0 |           | 20 (4.8)      | 10 (6.3)      | 10 (6.5)      |           |
    | sex, n (%)           | f   | 0         | 374 (89.5)    | 137 (86.7)    | 139 (90.3)    | 0.421     |
    |                      | m   |           | 44 (10.5)     | 21 (13.3)     | 15 (9.7)      |           |
    | trt, n (%)           | 1.0 | 106       | 158 (50.6)    | 158 (100.0)   |               | <0.001    |
    |                      | 2.0 |           | 154 (49.4)    |               | 154 (100.0)   |           |




.. GENERATED FROM PYTHON SOURCE LINES 50-51

Lets tabulate for latex.

.. GENERATED FROM PYTHON SOURCE LINES 51-53

.. code-block:: default
   :lineno-start: 51

    print(mytable.tabulate(tablefmt="latex"))





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    \begin{tabular}{lllllll}
    \hline
                          &     & Missing   & Overall       & 1.0           & 2.0           & P-Value   \\
    \hline
     n                    &     &           & 418           & 158           & 154           &           \\
     age, mean (SD)       &     & 0         & 50.7 (10.4)   & 51.4 (11.0)   & 48.6 (10.0)   & 0.018     \\
     bili, median [Q1,Q3] &     & 0         & 1.4 [0.8,3.4] & 1.4 [0.8,3.2] & 1.3 [0.7,3.6] & 0.842     \\
     albumin, mean (SD)   &     & 0         & 3.5 (0.4)     & 3.5 (0.4)     & 3.5 (0.4)     & 0.874     \\
     ast, mean (SD)       &     & 106       & 122.6 (56.7)  & 120.2 (54.5)  & 125.0 (58.9)  & 0.460     \\
     platelet, mean (SD)  &     & 11        & 257.0 (98.3)  & 258.8 (100.3) & 265.2 (90.7)  & 0.554     \\
     protime, mean (SD)   &     & 2         & 10.7 (1.0)    & 10.7 (0.9)    & 10.8 (1.1)    & 0.199     \\
     ascites, n (\%)       & 0.0 & 106       & 288 (92.3)    & 144 (91.1)    & 144 (93.5)    & 0.567     \\
                          & 1.0 &           & 24 (7.7)      & 14 (8.9)      & 10 (6.5)      &           \\
     hepato, n (\%)        & 0.0 & 106       & 152 (48.7)    & 85 (53.8)     & 67 (43.5)     & 0.088     \\
                          & 1.0 &           & 160 (51.3)    & 73 (46.2)     & 87 (56.5)     &           \\
     spiders, n (\%)       & 0.0 & 106       & 222 (71.2)    & 113 (71.5)    & 109 (70.8)    & 0.985     \\
                          & 1.0 &           & 90 (28.8)     & 45 (28.5)     & 45 (29.2)     &           \\
     edema, n (\%)         & 0.0 & 0         & 354 (84.7)    & 132 (83.5)    & 131 (85.1)    & 0.877     \\
                          & 0.5 &           & 44 (10.5)     & 16 (10.1)     & 13 (8.4)      &           \\
                          & 1.0 &           & 20 (4.8)      & 10 (6.3)      & 10 (6.5)      &           \\
     sex, n (\%)           & f   & 0         & 374 (89.5)    & 137 (86.7)    & 139 (90.3)    & 0.421     \\
                          & m   &           & 44 (10.5)     & 21 (13.3)     & 15 (9.7)      &           \\
     trt, n (\%)           & 1.0 & 106       & 158 (50.6)    & 158 (100.0)   &               & \ensuremath{<}0.001    \\
                          & 2.0 &           & 154 (49.4)    &               & 154 (100.0)   &           \\
    \hline
    \end{tabular}




.. GENERATED FROM PYTHON SOURCE LINES 54-55

Lets tabulate for grid.

.. GENERATED FROM PYTHON SOURCE LINES 55-57

.. code-block:: default
   :lineno-start: 55

    print(mytable.tabulate(tablefmt="grid"))





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    |                      |     | Missing   | Overall       | 1.0           | 2.0           | P-Value   |
    +======================+=====+===========+===============+===============+===============+===========+
    | n                    |     |           | 418           | 158           | 154           |           |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    | age, mean (SD)       |     | 0         | 50.7 (10.4)   | 51.4 (11.0)   | 48.6 (10.0)   | 0.018     |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    | bili, median [Q1,Q3] |     | 0         | 1.4 [0.8,3.4] | 1.4 [0.8,3.2] | 1.3 [0.7,3.6] | 0.842     |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    | albumin, mean (SD)   |     | 0         | 3.5 (0.4)     | 3.5 (0.4)     | 3.5 (0.4)     | 0.874     |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    | ast, mean (SD)       |     | 106       | 122.6 (56.7)  | 120.2 (54.5)  | 125.0 (58.9)  | 0.460     |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    | platelet, mean (SD)  |     | 11        | 257.0 (98.3)  | 258.8 (100.3) | 265.2 (90.7)  | 0.554     |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    | protime, mean (SD)   |     | 2         | 10.7 (1.0)    | 10.7 (0.9)    | 10.8 (1.1)    | 0.199     |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    | ascites, n (%)       | 0.0 | 106       | 288 (92.3)    | 144 (91.1)    | 144 (93.5)    | 0.567     |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    |                      | 1.0 |           | 24 (7.7)      | 14 (8.9)      | 10 (6.5)      |           |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    | hepato, n (%)        | 0.0 | 106       | 152 (48.7)    | 85 (53.8)     | 67 (43.5)     | 0.088     |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    |                      | 1.0 |           | 160 (51.3)    | 73 (46.2)     | 87 (56.5)     |           |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    | spiders, n (%)       | 0.0 | 106       | 222 (71.2)    | 113 (71.5)    | 109 (70.8)    | 0.985     |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    |                      | 1.0 |           | 90 (28.8)     | 45 (28.5)     | 45 (29.2)     |           |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    | edema, n (%)         | 0.0 | 0         | 354 (84.7)    | 132 (83.5)    | 131 (85.1)    | 0.877     |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    |                      | 0.5 |           | 44 (10.5)     | 16 (10.1)     | 13 (8.4)      |           |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    |                      | 1.0 |           | 20 (4.8)      | 10 (6.3)      | 10 (6.5)      |           |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    | sex, n (%)           | f   | 0         | 374 (89.5)    | 137 (86.7)    | 139 (90.3)    | 0.421     |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    |                      | m   |           | 44 (10.5)     | 21 (13.3)     | 15 (9.7)      |           |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    | trt, n (%)           | 1.0 | 106       | 158 (50.6)    | 158 (100.0)   |               | <0.001    |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+
    |                      | 2.0 |           | 154 (49.4)    |               | 154 (100.0)   |           |
    +----------------------+-----+-----------+---------------+---------------+---------------+-----------+




.. GENERATED FROM PYTHON SOURCE LINES 58-59

Lets tabulate for fancy grid.

.. GENERATED FROM PYTHON SOURCE LINES 59-61

.. code-block:: default
   :lineno-start: 59

    print(mytable.tabulate(tablefmt="fancy_grid"))





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    ╒══════════════════════╤═════╤═══════════╤═══════════════╤═══════════════╤═══════════════╤═══════════╕
    │                      │     │ Missing   │ Overall       │ 1.0           │ 2.0           │ P-Value   │
    ╞══════════════════════╪═════╪═══════════╪═══════════════╪═══════════════╪═══════════════╪═══════════╡
    │ n                    │     │           │ 418           │ 158           │ 154           │           │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │ age, mean (SD)       │     │ 0         │ 50.7 (10.4)   │ 51.4 (11.0)   │ 48.6 (10.0)   │ 0.018     │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │ bili, median [Q1,Q3] │     │ 0         │ 1.4 [0.8,3.4] │ 1.4 [0.8,3.2] │ 1.3 [0.7,3.6] │ 0.842     │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │ albumin, mean (SD)   │     │ 0         │ 3.5 (0.4)     │ 3.5 (0.4)     │ 3.5 (0.4)     │ 0.874     │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │ ast, mean (SD)       │     │ 106       │ 122.6 (56.7)  │ 120.2 (54.5)  │ 125.0 (58.9)  │ 0.460     │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │ platelet, mean (SD)  │     │ 11        │ 257.0 (98.3)  │ 258.8 (100.3) │ 265.2 (90.7)  │ 0.554     │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │ protime, mean (SD)   │     │ 2         │ 10.7 (1.0)    │ 10.7 (0.9)    │ 10.8 (1.1)    │ 0.199     │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │ ascites, n (%)       │ 0.0 │ 106       │ 288 (92.3)    │ 144 (91.1)    │ 144 (93.5)    │ 0.567     │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │                      │ 1.0 │           │ 24 (7.7)      │ 14 (8.9)      │ 10 (6.5)      │           │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │ hepato, n (%)        │ 0.0 │ 106       │ 152 (48.7)    │ 85 (53.8)     │ 67 (43.5)     │ 0.088     │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │                      │ 1.0 │           │ 160 (51.3)    │ 73 (46.2)     │ 87 (56.5)     │           │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │ spiders, n (%)       │ 0.0 │ 106       │ 222 (71.2)    │ 113 (71.5)    │ 109 (70.8)    │ 0.985     │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │                      │ 1.0 │           │ 90 (28.8)     │ 45 (28.5)     │ 45 (29.2)     │           │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │ edema, n (%)         │ 0.0 │ 0         │ 354 (84.7)    │ 132 (83.5)    │ 131 (85.1)    │ 0.877     │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │                      │ 0.5 │           │ 44 (10.5)     │ 16 (10.1)     │ 13 (8.4)      │           │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │                      │ 1.0 │           │ 20 (4.8)      │ 10 (6.3)      │ 10 (6.5)      │           │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │ sex, n (%)           │ f   │ 0         │ 374 (89.5)    │ 137 (86.7)    │ 139 (90.3)    │ 0.421     │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │                      │ m   │           │ 44 (10.5)     │ 21 (13.3)     │ 15 (9.7)      │           │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │ trt, n (%)           │ 1.0 │ 106       │ 158 (50.6)    │ 158 (100.0)   │               │ <0.001    │
    ├──────────────────────┼─────┼───────────┼───────────────┼───────────────┼───────────────┼───────────┤
    │                      │ 2.0 │           │ 154 (49.4)    │               │ 154 (100.0)   │           │
    ╘══════════════════════╧═════╧═══════════╧═══════════════╧═══════════════╧═══════════════╧═══════════╛




.. GENERATED FROM PYTHON SOURCE LINES 62-63

Lets tabulate for markdown

.. GENERATED FROM PYTHON SOURCE LINES 63-65

.. code-block:: default
   :lineno-start: 63

    print(mytable.tabulate(tablefmt="rst"))





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    ====================  ===  =========  =============  =============  =============  =========
    ..                         Missing    Overall        1.0            2.0            P-Value
    ====================  ===  =========  =============  =============  =============  =========
    n                                     418            158            154
    age, mean (SD)             0          50.7 (10.4)    51.4 (11.0)    48.6 (10.0)    0.018
    bili, median [Q1,Q3]       0          1.4 [0.8,3.4]  1.4 [0.8,3.2]  1.3 [0.7,3.6]  0.842
    albumin, mean (SD)         0          3.5 (0.4)      3.5 (0.4)      3.5 (0.4)      0.874
    ast, mean (SD)             106        122.6 (56.7)   120.2 (54.5)   125.0 (58.9)   0.460
    platelet, mean (SD)        11         257.0 (98.3)   258.8 (100.3)  265.2 (90.7)   0.554
    protime, mean (SD)         2          10.7 (1.0)     10.7 (0.9)     10.8 (1.1)     0.199
    ascites, n (%)        0.0  106        288 (92.3)     144 (91.1)     144 (93.5)     0.567
    ..                    1.0             24 (7.7)       14 (8.9)       10 (6.5)
    hepato, n (%)         0.0  106        152 (48.7)     85 (53.8)      67 (43.5)      0.088
    ..                    1.0             160 (51.3)     73 (46.2)      87 (56.5)
    spiders, n (%)        0.0  106        222 (71.2)     113 (71.5)     109 (70.8)     0.985
    ..                    1.0             90 (28.8)      45 (28.5)      45 (29.2)
    edema, n (%)          0.0  0          354 (84.7)     132 (83.5)     131 (85.1)     0.877
    ..                    0.5             44 (10.5)      16 (10.1)      13 (8.4)
    ..                    1.0             20 (4.8)       10 (6.3)       10 (6.5)
    sex, n (%)            f    0          374 (89.5)     137 (86.7)     139 (90.3)     0.421
    ..                    m               44 (10.5)      21 (13.3)      15 (9.7)
    trt, n (%)            1.0  106        158 (50.6)     158 (100.0)                   <0.001
    ..                    2.0             154 (49.4)                    154 (100.0)
    ====================  ===  =========  =============  =============  =============  =========




.. GENERATED FROM PYTHON SOURCE LINES 66-67

Save as latex file

.. GENERATED FROM PYTHON SOURCE LINES 67-69

.. code-block:: default
   :lineno-start: 67

    mytable.to_latex('./outputs/main01-mytable.tex')








.. GENERATED FROM PYTHON SOURCE LINES 70-71

Save as xls file

.. GENERATED FROM PYTHON SOURCE LINES 71-71

.. code-block:: default
   :lineno-start: 71

    mytable.to_excel('./outputs/main01-mytable.xlsx')







.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.618 seconds)


.. _sphx_glr_download__examples_tableone_plot_main01.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download sphx-glr-download-python

     :download:`Download Python source code: plot_main01.py <plot_main01.py>`



  .. container:: sphx-glr-download sphx-glr-download-jupyter

     :download:`Download Jupyter notebook: plot_main01.ipynb <plot_main01.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_