an.tsouchlos/banking-breakdown
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Change net income figure; Add table

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Andreas Tsouchlos 2024-01-07 18:54:24 +01:00
parent 7c75bd3c37
commit e9a218bb88
2 changed files with 47 additions and 22 deletions
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24
banking_breakdown/statement_parser.py
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@ -23,13 +23,24 @@ def _compute_total_balance(df: pd.DataFrame) -> pd.DataFrame:
def _compute_net_income(df: pd.DataFrame) -> pd.DataFrame: def _compute_net_income(df: pd.DataFrame) -> pd.DataFrame:
stripped_df = pd.DataFrame({'t': df["t"], 'value': df["value"]}) df.index = df['t']
income_df = df.loc[df['value'] > 0]
expenses_df = df.loc[df['value'] < 0]
stripped_df.index = stripped_df['t'] income_df = income_df.groupby(pd.Grouper(freq='M'))[
gb = stripped_df.groupby(pd.Grouper(freq='M')) 'value'].sum().reset_index().round(decimals=2)
expenses_df = expenses_df.groupby(pd.Grouper(freq='M'))[
'value'].sum().reset_index().round(decimals=2)
result = gb["value"].sum().reset_index() t = income_df['t']
return result income = income_df['value'].round(decimals=2)
expenses = expenses_df['value'].round(decimals=2)
net = (income + expenses).round(decimals=2)
result_df = pd.DataFrame(
{'t': t, 'income': income, 'expenses': expenses, 'net': net})
return result_df
def _compute_category_overview(df: pd.DataFrame) -> pd.DataFrame: def _compute_category_overview(df: pd.DataFrame) -> pd.DataFrame:
@ -46,11 +57,12 @@ def _compute_category_overview(df: pd.DataFrame) -> pd.DataFrame:
category_overview_df = category_overview_df.sort_values('value', category_overview_df = category_overview_df.sort_values('value',
ascending=False) ascending=False)
return category_overview_df return category_overview_df
def _compute_expenses_by_category(complete_df: pd.DataFrame) -> pd.DataFrame: def _compute_expenses_by_category(complete_df: pd.DataFrame) -> pd.DataFrame:
complete_df = complete_df.loc[complete_df['value'] < 0] complete_df = complete_df.loc[complete_df['value'] < 0].copy()
complete_df['value'] = -complete_df['value'] complete_df['value'] = -complete_df['value']
complete_df.index = complete_df['t'] complete_df.index = complete_df['t']

23
res/report.tex
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@ -157,7 +157,7 @@
] ]
% Dummy plot to set x axis ticks % Dummy plot to set x axis ticks
\addplot[draw=none] \addplot[draw=none]
table[col sep=comma, x=t, y=value] table[col sep=comma, x=t, y=net]
{net_income.csv}; {net_income.csv};
% Dummy plot to set x axis scale % Dummy plot to set x axis scale
@ -165,11 +165,17 @@
table[col sep=comma, x=t, y expr=0] table[col sep=comma, x=t, y expr=0]
{detailed_balance.csv}; {detailed_balance.csv};
\addplot[ybar, color=scol2, fill=scol2, line width=1pt] \addplot[ybar, bar width=0.4cm, draw=none, fill=scol2!30, line width=1pt]
table[col sep=comma, x=t, y=value, discard if lt={value}{0}] table[col sep=comma, x=t, y=income]
{net_income.csv}; {net_income.csv};
\addplot[ybar, color=scol0, fill=scol0, line width=1pt] \addplot[ybar, bar width=0.4cm, draw=none, fill=scol0!30, line width=1pt]
table[col sep=comma, x=t, y=value, discard if gt={value}{0}] table[col sep=comma, x=t, y=expenses]
{net_income.csv};
\addplot[ybar, bar width=0.3cm, draw=none, fill=scol0, line width=1pt]
table[col sep=comma, x=t, y=net, discard if gt={net}{0}]
{net_income.csv};
\addplot[ybar, bar width=0.3cm, draw=none, fill=scol2, line width=1pt]
table[col sep=comma, x=t, y=net, discard if lt={net}{0}]
{net_income.csv}; {net_income.csv};
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -211,6 +217,13 @@
\caption{Development of account balance over time} \caption{Development of account balance over time}
\end{figure} \end{figure}
\begin{figure}
\centering
\csvautotabular{net_income.csv}
\end{figure}
\begin{figure}[H] \begin{figure}[H]
\centering \centering