Python package for converting PBKF file to DataFrame (pandas) list.
It is simple example for using package. This code converts data from file.pdkf to dataframe_dict.
import pdkf
dataframe_dict = pdkf.read_pdkf('file.pdkf')
for key, dataframe in dataframe_dict.items():
print(key)
print(dataframe.info())
The file is a ZIP archive. For each dataframe, you need to add two files to the archive:
- META file;
- CSV or JSON file. The META file contains the Pandas data types for the dataframe. For example:
name,purchase_price,description,remainder
sofa_low,10000.00,description,8
armchair_rocking,8000.00,description,14
bed_double,18000.00,description,6
chair_computer, 12000.00,description,2
bed_children,16000.00,description,5
{
"name":"object",
"purchase_price":"float",
"description":"object",
"remainder":"int64"
}
[
{
"sofa_low":[
{
"price":"21000.00",
"date":"2021.01.16"
},
{
"price":"19000.00",
"date":"2021.02.21"
}
]
},
{
"armchair_rocking":[
{
"price":"15000.00",
"date":"2021.01.16"
}
]
}
]
{
"price":"float",
"date":"datetime64[ns]"
}