Documentation

Inputs

• Map Tile is the style of the map (eg. street vs. satellite)
• Shape color is the hex color code of the shapes in the map

Outputs

Pandas

Pandas is a library that offers data structures and operations for manipulating numerical tables

See Pandas documentation for more details

1 - Upload file

2 - Read file into python

Decode the base64 string into a file type

file_data = io.BytesIO(base64.b64decode(file.split(";base64,")[1]))

and then read the file as a csv

df = pd.read_csv(file_data)

and if that fails, read it as an excel

df = pd.read_excel(file_data)

3 - Return file as html

Use .to_html() to convert the Panda's Dataframe into a HTML string

return {

  "df": df.to_html()

}

4 - Display the outputs

Get the df variable from the outputs keyword

a link to our github, which contains a grocery store data file:

https://github.com/KaidenMastel/Grocery-Mapper