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data_manager.py
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78 lines (58 loc) · 2.36 KB
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import pandas as pd
class DataManager:
def __init__(self, file_path):
self._data = pd.read_csv(file_path)
self._back_up = self._data.copy()
def load_dataframe(self, df):
self._data = df
def group_sales_by(self, column_name):
try:
self._data = self._data.groupby(column_name, as_index=False).sum()
except KeyError:
print ('Column ',column_name,' does not exist')
return
for c in self._data.columns:
if '_Sales' in c or c in column_name:
pass
else:
del self._data[c]
def group_sales_by_stateless(self, data,column_name):
try:
data = data.groupby(column_name, as_index=False).sum()
except KeyError:
print ('Column ',column_name,' does not exist')
return
for c in data.columns:
if '_Sales' in c or c in column_name:
pass
else:
del data[c]
return data
def filter_by_list(self, column_name, filter_list):
try:
self._data = self._data.loc[self._data[column_name].isin(filter_list), :]
except KeyError:
print ('Column ',column_name,' does not exist')
def filter_by_range(self, column_name, min_val, max_val, include_max=True):
try:
if include_max:
self._data = self._data.loc[(self._data[column_name] >= min_val) & (self._data[column_name] <= max_val), :]
else:
self._data = self._data.loc[(self._data[column_name] >= min_val) & (self._data[column_name] < max_val), :]
except KeyError:
print ('Column ',column_name,' does not exist')
def sort(self, column_name, ascending=True):
try:
self._data = self._data.sort_values(by=column_name, ascending=ascending)
except KeyError:
print ('Column ',column_name,' does not exist')
def reset_data(self):
self._data = self._back_up
def get_data(self):
return self._data
@property
def data(self):
return self._data
@property
def column_names(self):
return list(self._data.columns)