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spreadSheets.py
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import csv
import pandas as pd
from pathlib import Path
from copy import deepcopy
class spreadSheet:
spreadsheets = []
def __int__(self, file_path):
self.file_path = Path(file_path)
spreadSheet.spreadsheets.append(self)
def UpdateFilePath(self, new_path):
self.file_path = Path(new_path)
def getFile_Path(self):
return self.file_path
def Read(self):
pass
def Write(self, data):
pass
class CSV(spreadSheet):
def __init__(self, file_path):
super().__int__(file_path)
def Read(self, filename='read_file'):
with open(self.file_path, 'r') as file:
_data = csv.DictReader(file)
data = list(_data)
return data
def Write(self, data):
fieldnames = data[0].keys()
with open(self.file_path, 'w', newline='') as file:
writer = csv.DictWriter(file, fieldnames=fieldnames)
writer.writeheader()
writer.writerows(data)
class Excel(spreadSheet):
def __init__(self, file_path):
super().__int__(file_path)
def Read(self, filename='read_file', sheet_name=None):
dataframe = pd.read_excel(self.file_path, sheet_name=sheet_name)
return dataframe
def Read_csv(self, sheet_name=None):
dataframe = pd.read_csv(self.file_path)
return dataframe
def Write(self, data, sheet_name=None, override=False):
if sheet_name is None:
print("Provide a sheet name")
else:
_override = override ^ False
data.to_excel(self.file_path, sheet_name=sheet_name, index=_override)
class SpreadSheet_Factory:
@staticmethod
def get_spreadsheet(condition, file_path):
if condition == "csv":
return CSV(file_path)
elif condition == "excel":
return Excel(file_path)
#Only to handle dataframes using excel.
class DataFrame_Handler():
def __int__(self):
pass
def create_sheets(self, file_path):
return SpreadSheet_Factory.get_spreadsheet('excel', file_path)
def get_child_dataframe(self, dataframe, headers: list):
return dataframe[headers]
def filter_dedup_columns(self, dataframe, header: str):
return dataframe[~dataframe[header].duplicated()]
def filter_column_values(self, dataframe, column, value: str, is_regex=False):
return dataframe[dataframe[column].str.contains(value, regex=is_regex)]
def concat_dataframes(self, dataframe_1, dataframe_2):
return pd.concat([dataframe_1, dataframe_2], ignore_index=True)
def copy_dataframe(self, dataframe):
return deepcopy(dataframe)
def get_row(self, dataframe, index):
return dataframe.iloc[[index]]
def get_column(self, dataframe, column):
return dataframe[column]
def create_mask(self, dataframe, column_name: str, regex: str):
return dataframe[column_name].str.contains(regex)