data_to_html

Library to convert pandas Dataframes to different html elements

Table:

Input:

1. Pandas Dataframe (df): The dataframe containing the data to be converted to html table (Required), 
2. column order (col): A list item containing the column names of the dataframe in the order in which they are to be displayed. (Default: None (Returns the columns in the order as in the dataFrame)) | (Optional)
3. The rest is same as pandas to_html: (Refer link)[https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_html.html]

Ouput:

1. Returns an html formatted table from the dataframe

Sample:

dtl = table(dtl)

Select:

Input:

1. Pandas DataFrame (df): The data frame to be converted to html Select | (Required)
2. text (text): Column to be displayed between the option tage | (Required)
3. value (value): Column for the value attribute in the option tag | (Required)
4. id (id): Value for the id attribute in the select tag | (Optional) | (Default None)
5. classes (classes): Values for the classes attribute for html| Type : List |(Optional) ! (Default None)
6. placeholder (placeholder): Value for placeholder attribute | (Optional) | (Default None)
7. additional_attribute: Any additional attributes | (Optional) | (Default "")
8. multiple: Optional | Default False
9. onchange : Optional | Default None

Output:

1.	A html format select statement with the options as the column values of the dataframes

dtl = select(dtl, text = "col1", value = "col2", id = "id", classes = ["class1", "class2"], placeholder="data-placeholder")