Create a pandas table

You can pass in a dictionary for the data when you create the DataFrame:

>>> import pandas as pd
>>> d = {
...     'Algothime': ['KNN', 'SVM', 'MLP'],
...     'Param. 1': ['-', '-', '-'],
...     'Param. 2': ['-', '-', '-'],
...     'Plage param. 1': ['-', '-', '-'],
...     'Plage param. 2': ['-', '-', '-']
... }
>>> df = pd.DataFrame(data=d)
>>> df
  Algothime Param. 1 Param. 2 Plage param. 1 Plage param. 2
0       KNN        -        -              -              -
1       SVM        -        -              -              -
2       MLP        -        -              -              -

If you want that specific style you can use Google Colab or something similar if you don't have Jupyter installed locally:

I recommend looking at this 10 min tutorial.

To answer your question

df = pd.DataFrame(columns=['Algotihme', 'Param. 1', 'Param. 2', 'Plage Param. 1', 'Plage Param. 2' ])
df['Algotihme'] = ['KNN', 'SVM', 'MLP']
df

To display the dataframe simply put 'df' in an empty cell in Jupyter Notebook and run it

In an interactive environment, you can always display a Pandas dataframe (or any other Python object) just by typing its name as its own command, e.g., type df on its own line.

However, the appearance of the table will differ depending on the environment you are using. Pandas has two ways of showing tables: plain text and HTML. The one you showed in your question is the HTML version.

If you use Python in an ordinary text terminal, you will get the plain text version. The easiest way to see the HTML version is by using one of these:

• a Jupyter notebook, can be local or on Google Colab or CoCalc, etc.
• a Jupyter qtconsole
• Atom editor with the Hydrogen plugin
• Visual Studio Code editor with the Python plugin

If you are using one of these, whenever you display a dataframe (type df on its own line), you will automatically see the HTML version. If you use the same command in a plain-text terminal, you will get the plain-text version.

UPDATE. As an example using Google Colab:

1. Go to Google Colab.
2. Login if needed.
3. Read the Introduction notebook (recommended).
4. Choose File > "New notebook" to create and open a new notebook.
5. Enter the commands from Shash Sinha's answer, all in one cell:

import pandas as pd
d = {
    'Algorithme': ['KNN', 'SVM','MLP'],
    'Param. 1': ['-', '-', '-'],
    'Param. 2': ['-', '-', '-'],
    'Plage param. 1': ['-', '-', '-'],
    'Plage param. 2': ['-', '-', '-']
}
df = pd.DataFrame(data=d)
df

6. Press the "play" button (gray triangle) or press Shift-Enter or Shift-Return.
7. Jupyter will run the code in the cell and then show you an HTML table like the one in your question.
8. You can also put df in its own cell and run that later to see the dataframe again.

You can try this:

import pandas as pd
df = pd.DataFrame([('KNN', '-', '-', '-', '-'),
                   ('SVM', '-', '-', '-', '-'),
                   ('gold', '-', '-', '-', '-')],
                    columns=('Algotihme', 'Param. 1', 'Param. 2', 'Plage Param. 1', 'Plage Param. 2' ))