I have a dynamic DataFrame which works fine, but when there are no data to be added into the DataFrame I get an error. And therefore I need a solution to create an empty DataFrame with only the column names.
For now I have something like this:
df = pd.DataFrame(columns=COLUMN_NAMES) # Note that there are now row data inserted.
PS: It is important that the column names would still appear in a DataFrame.
But when I use it like this I get something like that as a result:
Index([], dtype="object")
Empty DataFrame
The “Empty DataFrame” part is good! But instead of the Index thing I need to still display the columns.
Edit:
An important thing that I found out: I am converting this DataFrame to a PDF using Jinja2, so therefore I’m calling out a method to first output it to HTML like that:
df.to_html()
This is where the columns get lost I think.
Edit2:
In general, I followed this example: http://pbpython.com/pdf-reports.html. The css is also from the link.
That’s what I do to send the dataframe to the PDF:
env = Environment(loader=FileSystemLoader('.'))
template = env.get_template("pdf_report_template.html")
template_vars = {"my_dataframe": df.to_html()}
html_out = template.render(template_vars)
HTML(string=html_out).write_pdf("my_pdf.pdf", stylesheets=["pdf_report_style.css"])
Edit3:
If I print out the dataframe right after creation I get the followin:
[0 rows x 9 columns]
Empty DataFrame
Columns: [column_a, column_b, column_c, column_d,
column_e, column_f, column_g,
column_h, column_i]
Index: []
That seems reasonable, but if I print out the template_vars:
'my_dataframe': '<table border="1" class="dataframe">\n <tbody>\n <tr>\n <td>Index([], dtype=\'object\')</td>\n <td>Empty DataFrame</td>\n </tr>\n </tbody>\n</table>'
And it seems that the columns are missing already.
E4:
If I print out the following:
print(df.to_html())
I get the following result already:
<table border="1" class="dataframe">
<tbody>
<tr>
<td>Index([], dtype="object")</td>
<td>Empty DataFrame</td>
</tr>
</tbody>
</table>