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43 Commits

Author SHA1 Message Date
6c89dae2d1 Implement category renaming 2024-01-15 11:19:53 +01:00
f53a948c8f Sort category list 2024-01-15 10:54:23 +01:00
564f22725a Disable autoscroll 2024-01-15 10:50:51 +01:00
feabd3a4fd Merge branch 'feature/smooth_scrolling' into feature/installable_package 2024-01-15 10:43:16 +01:00
8bd120dfde Add smooth scrolling 2024-01-15 10:40:21 +01:00
2297f4a2bb Make package installable 2024-01-13 16:26:18 +01:00
e9a218bb88 Change net income figure; Add table 2024-01-07 18:54:24 +01:00
7c75bd3c37 Round values 2024-01-07 18:15:52 +01:00
1e4efa0c5b Add expense-by-category figure 2024-01-06 22:42:46 +01:00
99a7920118 Restructure data access to pandas model 2024-01-05 14:32:45 +01:00
8d660ea8c2 Reset sorting to normal 2024-01-05 13:15:33 +01:00
be3f3b604e Fix delete category 2024-01-05 13:12:42 +01:00
6a497c8575 Fix sorting for floats 2024-01-04 22:21:00 +01:00
ab1a1c3aad Finish reorganization of ui code 2024-01-04 21:16:15 +01:00
050f5f0ae4 Separate WarningItem and HeaderContextMenu from MainWindow 2024-01-04 19:34:01 +01:00
393f654a57 Change the way PandasModel operates 2024-01-04 18:36:53 +01:00
29aaa9066f Restructure UI code and clean up PandasModel 2024-01-04 17:22:14 +01:00
8c2fa9296d Preserve sort on data reload 2024-01-04 15:37:28 +01:00
0fdaff0fa2 Implement 'assign type' action 2024-01-04 15:31:26 +01:00
ba6b6c2e4a Add clear button; Disable buttons when function unavailable 2024-01-04 14:13:46 +01:00
f4b73064ff Automatically update categories from loaded dataframe 2024-01-04 05:29:21 +01:00
e2bf90d4d8 Implement clearing of category upon deletion 2024-01-04 05:17:32 +01:00
3dad927bf7 Implement category assignment 2024-01-04 05:12:02 +01:00
7c72e59a99 Implement category creation and deletion 2024-01-04 04:50:57 +01:00
d8f571bf31 Fixed bugs in tableview header context menu 2024-01-04 04:36:37 +01:00
ebe5857d37 Code cleanup 2024-01-04 03:30:56 +01:00
97e770ab0d Replace listView by listWidget 2024-01-04 03:28:32 +01:00
0816ebd26b Add category column if it does not exist 2024-01-04 03:19:30 +01:00
8a0d7f748f Implement show/hide warnings depending on columns 2024-01-04 02:29:34 +01:00
14e830ead0 Implement column deletion and renaming 2024-01-04 01:31:36 +01:00
d4211b6744 Changed the way ui files are handled 2024-01-03 23:08:26 +01:00
c72885258b Clean up MainWindow implementation 2024-01-03 22:32:06 +01:00
fb3a54d430 Add warning labels 2024-01-03 18:47:32 +01:00
37bc515712 Change the way categories are added 2024-01-03 16:09:57 +01:00
a31f754cfd Update README.md 2024-01-03 15:53:26 +01:00
90024635eb Add save option 2024-01-03 15:45:08 +01:00
9ff0a2b434 Safety commit 2024-01-03 15:43:10 +01:00
1bf13e77e3 Change the way the ui file is processed 2024-01-03 15:39:04 +01:00
5e78751921 Change GUI and start implementing CLI 2024-01-03 02:47:43 +01:00
cc8e974589 Add first version of UI 2024-01-03 00:22:01 +01:00
0c21d671a9 Change dummy category names 2024-01-03 00:21:10 +01:00
1116da8251 Buchungstag -> Valutadatum 2024-01-02 01:40:41 +01:00
802bf3e837 Fix y axis scale in figure 2024-01-02 01:31:14 +01:00
21 changed files with 1582 additions and 84 deletions

3
.gitignore vendored
View File

@@ -1,4 +1,5 @@
.idea/ .idea/
__pycache__/ __pycache__/
venv/ venv/
build/ build/
banking_breakdown.egg-info

6
MANIFEST.in Normal file
View File

@@ -0,0 +1,6 @@
include banking_breakdown/ui/main_window.ui
include banking_breakdown/ui/warning.png
include banking_breakdown/document_builder/.latexmkrc
include banking_breakdown/document_builder/Dockerfile.alpine
include banking_breakdown/document_builder/report.tex
include banking_breakdown/document_builder/common.tex

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@@ -1,3 +1,22 @@
# banking-breakdown # banking-breakdown
Visualize banking statements. Visualize bank statements.
## Usage
1. Assign categories to bank statement entries:
```bash
$ python -m banking_breakdown categorize -i [bank_statement.csv] -f [regex_file]
```
2. Generate report from categorized data:
```bash
$ python -m banking_breakdown report -i [categorized.csv]
```
## Other
### Generate GUI from `*.ui` file
```bash
$ pyuic6 res/main_window.ui -o banking_breakdown/ui/main_window.py
```

View File

@@ -1,10 +1,64 @@
from banking_breakdown import document_builder from banking_breakdown import ui, regex_categorizer, statement_parser, \
from banking_breakdown import statement_parser document_builder
import argparse
def categorize_func(args):
import pandas as pd
df = pd.read_csv(args.i, delimiter=args.d)
if args.f is not None:
df = regex_categorizer.assign_categories(df, args.f)
import signal
signal.signal(signal.SIGINT, signal.SIG_DFL)
ui.show_main_window(df=df)
def report_func(args):
report_data = statement_parser.parse_statement(args.i)
document_builder.build_document(args.o, report_data)
#
# Define CLI
#
def main(): def main():
report_data = statement_parser.parse_statement("res/banking_statement_2023.csv") parser = argparse.ArgumentParser(prog='banking_breakdown',
document_builder.build_document(report_data) description='Visualize bank statements')
subparsers = parser.add_subparsers()
categorize_parser = subparsers.add_parser("categorize")
categorize_parser.set_defaults(func=categorize_func)
categorize_parser.add_argument('-i', required=True,
help="Bank statement CSV")
categorize_parser.add_argument('-f', required=False,
help="JSON file containing regexes to"
" pre-categorize statement entries")
categorize_parser.add_argument('-d', required=False,
help="Delimiter to use when reading the"
" bank statement", default=',')
report_parser = subparsers.add_parser("report")
report_parser.set_defaults(func=report_func)
report_parser.add_argument('-i', required=True,
help="CSV file containing bank statement data (output file of categorization step)")
report_parser.add_argument('-o', required=False,
help="Output directory ('build' by default)",
default='build')
args = parser.parse_args()
if hasattr(args, 'func'):
args.func(args)
else:
parser.print_help()
if __name__ == "__main__": if __name__ == "__main__":

View File

@@ -1,36 +0,0 @@
import subprocess
import os
import shutil
from banking_breakdown import types
def _copy_resources():
os.makedirs(os.path.dirname("build/report.tex"), exist_ok=True)
shutil.copyfile("res/report.tex", "build/report.tex")
shutil.copyfile("res/.latexmkrc", "build/.latexmkrc")
def _serialize_report_data(report_data: types.ReportData):
report_data.net_income.to_csv('build/net_income.csv', index=False)
report_data.category_overview.to_csv('build/category_overview.csv',
index=False)
report_data.total_value.to_csv('build/total_value.csv', index=False)
report_data.detailed_balance.to_csv('build/detailed_balance.csv',
index=False)
def _compile_document():
subprocess.call("docker build . -f res/Dockerfile.alpine"
" -t banking-breakdown",
shell=True)
subprocess.call("docker run --rm -u `id -u`:`id -g`"
" -v $(realpath .):/project"
" -w /project/build banking-breakdown"
" latexmk -pdf report.tex",
shell=True)
def build_document(report_data: types.ReportData):
_copy_resources()
_serialize_report_data(report_data)
_compile_document()

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@@ -0,0 +1,48 @@
import subprocess
import os
import shutil
from banking_breakdown import types
import banking_breakdown.document_builder
from importlib import resources
def _copy_resources(build_dir: str):
res_prefix = resources.files(banking_breakdown.document_builder)
os.makedirs(os.path.dirname(f"{build_dir}/report.tex"), exist_ok=True)
shutil.copyfile(f"{res_prefix}/report.tex", f"{build_dir}/report.tex")
shutil.copyfile(f"{res_prefix}/common.tex", f"{build_dir}/common.tex")
shutil.copyfile(f"{res_prefix}/.latexmkrc", f"{build_dir}/.latexmkrc")
def _serialize_report_data(build_dir: str, report_data: types.ReportData):
report_data.net_income.to_csv(f'{build_dir}/net_income.csv', index=False)
report_data.category_overview.to_csv(f'{build_dir}/category_overview.csv',
index=False)
report_data.expenses_by_category.to_csv(f'{build_dir}/expenses_by_category.csv',
index=False)
report_data.total_value.to_csv(f'{build_dir}/total_value.csv', index=False)
report_data.detailed_balance.to_csv(f'{build_dir}/detailed_balance.csv',
index=False)
def _compile_document(build_dir):
res_prefix = resources.files(banking_breakdown.document_builder)
subprocess.call(f"docker build . -f {res_prefix}/Dockerfile.alpine"
" -t banking-breakdown",
shell=True)
subprocess.call("docker run --rm -u `id -u`:`id -g`"
" -v $(realpath .):/project"
f" -w /project/{build_dir} banking-breakdown"
" latexmk -pdf report.tex",
shell=True)
def build_document(build_dir: str, report_data: types.ReportData):
_copy_resources(build_dir)
_serialize_report_data(build_dir, report_data)
_compile_document(build_dir)

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@@ -0,0 +1,317 @@
% Author: Andreas Tsouchlos
%
% Collection of useful commands and definitions
%
% ||====================================================================||
% || WARNING ||
% ||====================================================================||
% || The following packages have to be included before using this file: ||
% || amsmath ||
% || pgfplots ||
% ||====================================================================||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Math Symbols %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\DeclareMathOperator*{\argmin}{\arg\!\min}
\DeclareMathOperator*{\argmax}{\arg\!\max}
\DeclareMathOperator\sign{sign}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Data Manipulation %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Filters for Pgfplots
% Source: https://tex.stackexchange.com/a/58563 (modified)
%
\pgfplotsset{
discard if/.style 2 args={
x filter/.append code={
\edef\tempa{\thisrow{#1}}
\edef\tempb{#2}
\ifx\tempa\tempb
\def\pgfmathresult{inf}
\fi
}
},
discard if not/.style 2 args={
x filter/.append code={
\edef\tempa{\thisrow{#1}}
\edef\tempb{#2}
\ifx\tempa\tempb
\else
\def\pgfmathresult{inf}
\fi
}
},
discard if gt/.style 2 args={
x filter/.append code={
\edef\tempa{\thisrow{#1}}
\edef\tempb{#2}
\ifdim\tempa pt > \tempb pt
\def\pgfmathresult{inf}
\fi
}
},
discard if lt/.style 2 args={
x filter/.append code={
\edef\tempa{\thisrow{#1}}
\edef\tempb{#2}
\ifdim\tempa pt < \tempb pt
\def\pgfmathresult{inf}
\fi
}
}
}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Graphics & Plotting %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Colors
%
% KIT Colors
\definecolor{kit-green100}{rgb}{0,.59,.51}
\definecolor{kit-green70}{rgb}{.3,.71,.65}
\definecolor{kit-green50}{rgb}{.50,.79,.75}
\definecolor{kit-green30}{rgb}{.69,.87,.85}
\definecolor{kit-green15}{rgb}{.85,.93,.93}
\definecolor{KITgreen}{rgb}{0,.59,.51}
\definecolor{KITpalegreen}{RGB}{130,190,60}
\colorlet{kit-maigreen100}{KITpalegreen}
\colorlet{kit-maigreen70}{KITpalegreen!70}
\colorlet{kit-maigreen50}{KITpalegreen!50}
\colorlet{kit-maigreen30}{KITpalegreen!30}
\colorlet{kit-maigreen15}{KITpalegreen!15}
\definecolor{KITblue}{rgb}{.27,.39,.66}
\definecolor{kit-blue100}{rgb}{.27,.39,.67}
\definecolor{kit-blue70}{rgb}{.49,.57,.76}
\definecolor{kit-blue50}{rgb}{.64,.69,.83}
\definecolor{kit-blue30}{rgb}{.78,.82,.9}
\definecolor{kit-blue15}{rgb}{.89,.91,.95}
\definecolor{KITyellow}{rgb}{.98,.89,0}
\definecolor{kit-yellow100}{cmyk}{0,.05,1,0}
\definecolor{kit-yellow70}{cmyk}{0,.035,.7,0}
\definecolor{kit-yellow50}{cmyk}{0,.025,.5,0}
\definecolor{kit-yellow30}{cmyk}{0,.015,.3,0}
\definecolor{kit-yellow15}{cmyk}{0,.0075,.15,0}
\definecolor{KITorange}{rgb}{.87,.60,.10}
\definecolor{kit-orange100}{cmyk}{0,.45,1,0}
\definecolor{kit-orange70}{cmyk}{0,.315,.7,0}
\definecolor{kit-orange50}{cmyk}{0,.225,.5,0}
\definecolor{kit-orange30}{cmyk}{0,.135,.3,0}
\definecolor{kit-orange15}{cmyk}{0,.0675,.15,0}
\definecolor{KITred}{rgb}{.63,.13,.13}
\definecolor{kit-red100}{cmyk}{.25,1,1,0}
\definecolor{kit-red70}{cmyk}{.175,.7,.7,0}
\definecolor{kit-red50}{cmyk}{.125,.5,.5,0}
\definecolor{kit-red30}{cmyk}{.075,.3,.3,0}
\definecolor{kit-red15}{cmyk}{.0375,.15,.15,0}
\definecolor{KITpurple}{RGB}{160,0,120}
\colorlet{kit-purple100}{KITpurple}
\colorlet{kit-purple70}{KITpurple!70}
\colorlet{kit-purple50}{KITpurple!50}
\colorlet{kit-purple30}{KITpurple!30}
\colorlet{kit-purple15}{KITpurple!15}
\definecolor{KITcyanblue}{RGB}{80,170,230}
\colorlet{kit-cyanblue100}{KITcyanblue}
\colorlet{kit-cyanblue70}{KITcyanblue!70}
\colorlet{kit-cyanblue50}{KITcyanblue!50}
\colorlet{kit-cyanblue30}{KITcyanblue!30}
\colorlet{kit-cyanblue15}{KITcyanblue!15}
% Matplotlib Colors
\definecolor{Mpl1}{HTML}{1f77b4}
\definecolor{Mpl2}{HTML}{ff7f0e}
\definecolor{Mpl3}{HTML}{2ca02c}
\definecolor{Mpl4}{HTML}{d62728}
\definecolor{Mpl5}{HTML}{9467bd}
\definecolor{Mpl6}{HTML}{8c564b}
\definecolor{Mpl7}{HTML}{e377c2}
\definecolor{Mpl8}{HTML}{7f7f7f}
\definecolor{Mpl9}{HTML}{bcbd22}
\definecolor{Mpl10}{HTML}{17becf}
%
% Color Schemes
%
% Define colormaps
\pgfplotsset{
colormap={mako}{
rgb=(0.18195582, 0.11955283, 0.23136943)
rgb=(0.25307401, 0.23772973, 0.48316271)
rgb=(0.21607792, 0.39736958, 0.61948028)
rgb=(0.20344718, 0.56074869, 0.65649508)
rgb=(0.25187832, 0.71827158, 0.67872193)
rgb=(0.54578602, 0.8544913, 0.69848331)
},
colormap={rocket}{
rgb=(0.20973515, 0.09747934, 0.24238489)
rgb=(0.43860848, 0.12177004, 0.34119475)
rgb=(0.67824099, 0.09192342, 0.3504148)
rgb=(0.8833417, 0.19830556, 0.26014181)
rgb=(0.95381595, 0.46373781, 0.31769923)
rgb=(0.96516917, 0.70776351, 0.5606593)
},
colormap={cividis}{
rgb=(0.130669, 0.231458, 0.43284)
rgb=(0.298421, 0.332247, 0.423973)
rgb=(0.42512, 0.431334, 0.447692)
rgb=(0.555393, 0.537807, 0.471147)
rgb=(0.695985, 0.648334, 0.440072)
rgb=(0.849223, 0.771947, 0.359729)
},
colormap={cel}{
color=(KITred!90!black);
color=(kit-blue100);
color=(kit-green70);
color=(kit-yellow70!80!kit-orange70);
},
colormap={matplotlib}{
% Source: https://github.com/matplotlib/matplotlib/blob/e5a85f960b2d47eac371cff709b830d52c36d267/lib/matplotlib/_cm.py#L1114
rgb=(0.2298057, 0.298717966, 0.753683153)
rgb=(0.26623388, 0.353094838, 0.801466763)
rgb=(0.30386891, 0.406535296, 0.84495867 )
rgb=(0.342804478, 0.458757618, 0.883725899)
rgb=(0.38301334, 0.50941904, 0.917387822)
rgb=(0.424369608, 0.558148092, 0.945619588)
rgb=(0.46666708, 0.604562568, 0.968154911)
rgb=(0.509635204, 0.648280772, 0.98478814 )
rgb=(0.552953156, 0.688929332, 0.995375608)
rgb=(0.596262162, 0.726149107, 0.999836203)
rgb=(0.639176211, 0.759599947, 0.998151185)
rgb=(0.681291281, 0.788964712, 0.990363227)
rgb=(0.722193294, 0.813952739, 0.976574709)
rgb=(0.761464949, 0.834302879, 0.956945269)
rgb=(0.798691636, 0.849786142, 0.931688648)
rgb=(0.833466556, 0.860207984, 0.901068838)
rgb=(0.865395197, 0.86541021, 0.865395561)
rgb=(0.897787179, 0.848937047, 0.820880546)
rgb=(0.924127593, 0.827384882, 0.774508472)
rgb=(0.944468518, 0.800927443, 0.726736146)
rgb=(0.958852946, 0.769767752, 0.678007945)
rgb=(0.96732803, 0.734132809, 0.628751763)
rgb=(0.969954137, 0.694266682, 0.579375448)
rgb=(0.966811177, 0.650421156, 0.530263762)
rgb=(0.958003065, 0.602842431, 0.481775914)
rgb=(0.943660866, 0.551750968, 0.434243684)
rgb=(0.923944917, 0.49730856, 0.387970225)
rgb=(0.89904617, 0.439559467, 0.343229596)
rgb=(0.869186849, 0.378313092, 0.300267182)
rgb=(0.834620542, 0.312874446, 0.259301199)
rgb=(0.795631745, 0.24128379, 0.220525627)
rgb=(0.752534934, 0.157246067, 0.184115123)
rgb=(0.705673158, 0.01555616, 0.150232812)
}
}
% Define cycle lists
\pgfplotscreateplotcyclelist{mako}{%
[samples of colormap={4} of mako]%
}
\pgfplotscreateplotcyclelist{rocket}{%
[samples of colormap={4} of rocket]%
}
\pgfplotscreateplotcyclelist{cividis}{%
[samples of colormap={4} of cividis]%
}
\pgfplotscreateplotcyclelist{viridis}{%
[samples of colormap={4} of viridis]%
}
\pgfplotscreateplotcyclelist{cel}{%
[samples of colormap={4} of cel]%
}
\pgfplotscreateplotcyclelist{matplotlib}{%
{Mpl1},{Mpl2},{Mpl3},{Mpl4}
}
% Define 'scolX' colors
\makeatletter
\def\extractcolormapcolor#1#2{%
\expandafter\pgfplotscolormapaccess\expandafter[\pgfplotspointmetatransformedrange]%
[1.0]%
{#2}%
{\pgfkeysvalueof{/pgfplots/colormap name}}%
\def\pgfplots@loc@TMPb{\pgfutil@definecolor{#1}{\csname pgfpl@cm@\pgfkeysvalueof{/pgfplots/colormap name}@colspace\endcsname}}%
\expandafter\pgfplots@loc@TMPb\expandafter{\pgfmathresult}%
}%
\def\getcolorbyvalue#1{
\csname pgfpl@cm@\pgfkeysvalueof{/pgfplots/colormap name}@colspace\endcsname
}
\makeatother
\def\setschemecolorsfrommap{
\extractcolormapcolor{scol0}{0}
\extractcolormapcolor{scol1}{333}
\extractcolormapcolor{scol2}{666}
\extractcolormapcolor{scol3}{1000}
}
\newcommand{\setschemecolorsmanually}[4]{
\colorlet{scol0}{#1}
\colorlet{scol1}{#2}
\colorlet{scol2}{#3}
\colorlet{scol3}{#4}
}
% Define color schemes
\pgfplotsset{
/pgfplots/colorscheme/cel/.style={
colormap name={cel},
cycle list name={cel},
/utils/exec={\setschemecolorsfrommap},
},
/pgfplots/colorscheme/rocket/.style={
colormap name={rocket},
cycle list name={rocket},
/utils/exec={\setschemecolorsfrommap},
},
/pgfplots/colorscheme/viridis/.style={
colormap name={viridis},
cycle list name={viridis},
/utils/exec={\setschemecolorsfrommap},
},
/pgfplots/colorscheme/mako/.style={
colormap name={mako},
cycle list name={mako},
/utils/exec={\setschemecolorsfrommap},
},
/pgfplots/colorscheme/cividis/.style={
colormap name={cividis},
cycle list name={cividis},
/utils/exec={\setschemecolorsfrommap},
},
/pgfplots/colorscheme/matplotlib/.style={
colormap name={matplotlib},
cycle list name={matplotlib},
/utils/exec={\setschemecolorsmanually{Mpl1}{Mpl2}{Mpl3}{Mpl4}},
},
}

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@@ -22,7 +22,7 @@
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\input{../lib/latex-common/common.tex} \input{common.tex}
\pgfplotsset{colorscheme/rocket} \pgfplotsset{colorscheme/rocket}
@@ -38,13 +38,13 @@
\newcommand{\slice}[6]{ \newcommand{\slice}[6]{
\pgfmathparse{0.5*#1+0.5*#2} \pgfmathparse{0.5*#1+0.5*#2}
\let\midangle\pgfmathresult \let\midangle\pgfmathresult
% slice % slice
\fill[thick,color=#5] (0,0) -- (#1:1) arc (#1:#2+1:1) -- (0,0); \fill[thick,color=#5] (0,0) -- (#1:1) arc (#1:#2+1:1) -- (0,0);
% outer label % outer label
\node[label=\midangle:#4] at (\midangle:1) {}; \node[label=\midangle:#4] at (\midangle:1) {};
% inner label % inner label
\pgfmathparse{min((#2-#1-10)/110*(-0.3),0)} \pgfmathparse{min((#2-#1-10)/110*(-0.3),0)}
\let\temp\pgfmathresult \let\temp\pgfmathresult
@@ -58,13 +58,13 @@
\newcounter{pieSliceB} \newcounter{pieSliceB}
\newcommand{\pie}[1]{ \newcommand{\pie}[1]{
% Count elements % Count elements
\setcounter{pieElem}{0}% \setcounter{pieElem}{0}%
\foreach\pieElem in {#1}{\stepcounter{pieElem}}% \foreach\pieElem in {#1}{\stepcounter{pieElem}}%
\edef\numElements{\arabic{pieElem}} \edef\numElements{\arabic{pieElem}}
% Draw pie chart % Draw pie chart
\setcounter{pieSliceA}{0}% \setcounter{pieSliceA}{0}%
\setcounter{pieSliceB}{0}% \setcounter{pieSliceB}{0}%
\foreach \xi/\t [count=\xk from 0] in {#1} { \foreach \xi/\t [count=\xk from 0] in {#1} {
% Get colors % Get colors
\pgfmathparse{1000 / (\numElements - 1) * \xk} \pgfmathparse{1000 / (\numElements - 1) * \xk}
@@ -81,16 +81,16 @@
\newcommand{\csvPie}[1]{ \newcommand{\csvPie}[1]{
% Count elements % Count elements
\setcounter{pieElem}{0}% \setcounter{pieElem}{0}%
\csvreader[head to column names]{#1}{}{% \csvreader[head to column names]{#1}{}{%
\stepcounter{pieElem} \stepcounter{pieElem}
} }
\edef\numElements{\arabic{pieElem}} \edef\numElements{\arabic{pieElem}}
% Draw pie chart % Draw pie chart
\setcounter{pieElem}{0}% \setcounter{pieElem}{0}%
\setcounter{pieSliceA}{0}% \setcounter{pieSliceA}{0}%
\setcounter{pieSliceB}{0}% \setcounter{pieSliceB}{0}%
\csvreader[head to column names]{#1}{}{% \csvreader[head to column names]{#1}{}{%
% Get colors % Get colors
\pgfmathparse{1000 / (\numElements - 1) * \thepieElem} \pgfmathparse{1000 / (\numElements - 1) * \thepieElem}
@@ -157,19 +157,25 @@
] ]
% 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
\addplot[draw=none] \addplot[draw=none]
table[col sep=comma, x=t, y=value] 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 +217,105 @@
\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]
\centering
% Read table
\pgfplotstableread[col sep=comma]{expenses_by_category.csv}\expbycattable
\pgfplotstablegetcolsof{\expbycattable}
\pgfmathtruncatemacro\NumCols{\pgfplotsretval-1}
\begin{subfigure}[c]{\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[
stack plots=y,
area style,
date coordinates in=x,
width=\textwidth,
height=0.375\textwidth,
xticklabel=\month.\shortyear{\year},
xtick=data,
enlargelimits=false,
xticklabel style={
rotate=60,
anchor=near xticklabel,
},
legend columns=5,
legend style={at={(0.5,-0.6)},anchor=south},
ylabel={Expenses in €},
ymin=0,
]
% For each
\pgfplotsinvokeforeach{0,...,\NumCols/2 -1}{
% Define color
\pgfmathparse{1000 / (\NumCols/2 -1) * #1}
\extractcolormapcolor{tempcol#1}{\pgfmathresult}
% Add plot
\addplot+[tempcol#1]
table[col sep=comma, x=t, y index=#1]
{\expbycattable} \closedcycle;
% Add legend entry (https://tex.stackexchange.com/a/405018)
\pgfplotstablegetcolumnnamebyindex{#1}\of{\expbycattable}\to\pgfplotsretval
\expandafter\addlegendentry\expandafter{\pgfplotsretval}
}
\end{axis}
\end{tikzpicture}
\end{subfigure}\\[1em]
\begin{subfigure}[c]{\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[
stack plots=y,
area style,
date coordinates in=x,
width=\textwidth,
height=0.375\textwidth,
xticklabel=\month.\shortyear{\year},
xtick=data,
enlargelimits=false,
xticklabel style={
rotate=60,
anchor=near xticklabel,
},
legend columns=5,
legend style={at={(0.5,-0.6)},anchor=south},
ylabel={Expenses in €},
ymin=0,
]
% For each
\pgfplotsinvokeforeach{\NumCols/2,...,\NumCols-1}{
% Define color
\pgfmathparse{1000 * (#1 - \NumCols/2) / (\NumCols-1 - \NumCols/2)}
\extractcolormapcolor{tempcol#1}{\pgfmathresult}
% Add plot
\addplot+[tempcol#1]
table[col sep=comma, x=t, y index=#1]
{\expbycattable} \closedcycle;
% Add legend entry (https://tex.stackexchange.com/a/405018)
\pgfplotstablegetcolumnnamebyindex{#1}\of{\expbycattable}\to\pgfplotsretval
\expandafter\addlegendentry\expandafter{\pgfplotsretval}
}
\end{axis}
\end{tikzpicture}
\end{subfigure}
\caption{Expenses by category}
\end{figure}
\end{document} \end{document}

View File

@@ -0,0 +1,54 @@
import pandas as pd
import json
def _is_str_column(s: pd.Series):
"""Check if the type of a pandas DataFrame column is str.
Taken from https://stackoverflow.com/a/67001213/3433817.
"""
if isinstance(s.dtype, pd.StringDtype):
# The series was explicitly created as a string series (Pandas>=1.0.0)
return True
elif s.dtype == 'object':
# Object series, check each value
return all((v is None) or isinstance(v, str) for v in s)
else:
return False
def _read_regex_dict(regex_file: str):
with open(regex_file, 'r') as f:
return json.load(f)
def assign_categories(df: pd.DataFrame, regex_file: str) -> pd.DataFrame:
if 'category' not in df.columns:
df['category'] = [' '] * len(df.index)
regex_dict = _read_regex_dict(regex_file)
df = df.fillna('')
for column in df.columns:
if not _is_str_column(df[column]):
continue
for category in regex_dict:
for regex in regex_dict[category]:
matched = df[column].str.contains(regex, regex=True)
df.loc[matched, 'category'] = category
return df
def main():
df = pd.read_csv('../res/bank_statement_2023_categorized.csv')
df = assign_categories(df, regex_file='../res/regexes.json')
print(df['category'])
if __name__ == "__main__":
main()

View File

@@ -6,74 +6,116 @@ import re
import numpy as np import numpy as np
def _read_regex_dict(regex_file: str = "res/category_regexes.json"): def _escape_string(to_escape: str):
with open(regex_file, 'r') as f: return to_escape.translate(str.maketrans({"&": r"\&"}))
return json.load(f)
def _tag_with_category(df: pd.DataFrame) -> pd.DataFrame:
regex_dict = _read_regex_dict()
return df
def _compute_total_balance(df: pd.DataFrame) -> pd.DataFrame: def _compute_total_balance(df: pd.DataFrame) -> pd.DataFrame:
stripped_df = pd.DataFrame( stripped_df = pd.DataFrame(
{'t': df["Buchungstag"], 'value': df["Saldo nach Buchung"]}) {'t': df["t"], 'value': df["balance"]})
stripped_df.index = stripped_df['t'] stripped_df.index = stripped_df['t']
gb = stripped_df.groupby(pd.Grouper(freq='M')) gb = stripped_df.groupby(pd.Grouper(freq='M'))
result = gb.tail(1)['value'].reset_index() result = gb.tail(1)['value'].reset_index()
#result['t'] = result['t'].apply(lambda dt: dt.replace(day=1))
return result return result
def _compute_net_income(df: pd.DataFrame) -> pd.DataFrame: def _compute_net_income(df: pd.DataFrame) -> pd.DataFrame:
stripped_df = pd.DataFrame({'t': df["Buchungstag"], 'value': df["Betrag"]}) df.index = df['t']
income_df = df.loc[df['value'] > 0]
expenses_df = df.loc[df['value'] < 0]
result = stripped_df.resample(rule='M', on="t").sum().reset_index() income_df = income_df.groupby(pd.Grouper(freq='M'))[
#result['t'] = result['t'].apply(lambda dt: dt.replace(day=1)) 'value'].sum().reset_index().round(decimals=2)
expenses_df = expenses_df.groupby(pd.Grouper(freq='M'))[
'value'].sum().reset_index().round(decimals=2)
return result t = income_df['t']
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:
categories = ["A", "B", "C", "D", "E", "F", "G"] df = df.loc[df['value'] < 0]
values = np.array([10, 12, 53, 12, 90, 23, 32]) df = df.drop('t', axis=1)
values = values / values.sum() * 100 df = df.groupby(['category']).sum().reset_index()
values = np.round(values, decimals=1) values = (df['value'] / df['value'].sum() * 100).to_numpy()
values[-1] += 100 - np.sum(values) values[-1] += 100 - np.sum(values)
values = np.round(values, decimals=1)
categories = [_escape_string(category) for category in df['category']]
category_overview_df = pd.DataFrame( category_overview_df = pd.DataFrame(
{"category": categories, "value": values}) {"category": categories, "value": values})
category_overview_df = category_overview_df.sort_values('value',
ascending=False)
return category_overview_df return category_overview_df
def _compute_expenses_by_category(complete_df: pd.DataFrame) -> pd.DataFrame:
complete_df = complete_df.loc[complete_df['value'] < 0].copy()
complete_df['value'] = -complete_df['value']
complete_df.index = complete_df['t']
complete_gb = complete_df.groupby(pd.Grouper(freq='M'))
categories = complete_df['category'].unique()
data_dict = {category: [] for category in categories}
for (month_date, month_df) in complete_gb:
month_df = month_df.drop('t', axis=1).reset_index().drop('t', axis=1)
category_df = month_df.groupby(['category']).sum().reset_index()
for _, row in category_df.iterrows():
data_dict[row['category']].append(row['value'])
non_listed = list(set(categories) - set(category_df['category']))
for category in non_listed:
data_dict[category].append(0)
result = pd.DataFrame(data_dict)
result = result.reindex(result.mean().sort_values(ascending=False).index,
axis=1)
result = result.round(decimals=2)
result['t'] = complete_gb.tail(1).drop('t', axis=1).reset_index()['t']
return result
def _compute_detailed_balance(df: pd.DataFrame) -> pd.DataFrame: def _compute_detailed_balance(df: pd.DataFrame) -> pd.DataFrame:
return pd.DataFrame({'t': df["Buchungstag"], return pd.DataFrame({'t': df["t"],
'value': df["Saldo nach Buchung"]}) 'value': df["balance"]})
def parse_statement(filename: str) -> types.ReportData: def parse_statement(filename: str) -> types.ReportData:
df = pd.read_csv(filename, delimiter=';', decimal=",") df = pd.read_csv(filename)
df["Buchungstag"] = pd.to_datetime(df["Buchungstag"], format='%d.%m.%Y') df["t"] = pd.to_datetime(df["t"], format='%Y-%m-%d')
category_overview_df = _compute_category_overview(df) category_overview_df = _compute_category_overview(df)
total_balance_df = _compute_total_balance(df) total_balance_df = _compute_total_balance(df)
net_income_df = _compute_net_income(df) net_income_df = _compute_net_income(df)
detailed_balance_df = _compute_detailed_balance(df) detailed_balance_df = _compute_detailed_balance(df)
expenses_by_category_df = _compute_expenses_by_category(df)
return types.ReportData(category_overview_df, return types.ReportData(category_overview_df,
expenses_by_category_df,
net_income_df, net_income_df,
total_balance_df, total_balance_df,
detailed_balance_df) detailed_balance_df, )
def main(): def main():
report_data = parse_statement("../res/banking_statement_2023.csv") report_data = parse_statement("../res/bank_statement_2023_categorized.csv")
if __name__ == "__main__": if __name__ == "__main__":

View File

@@ -5,6 +5,7 @@ import pandas as pd
@dataclass @dataclass
class ReportData: class ReportData:
category_overview: pd.DataFrame category_overview: pd.DataFrame
expenses_by_category: pd.DataFrame
net_income: pd.DataFrame net_income: pd.DataFrame
total_value: pd.DataFrame total_value: pd.DataFrame
detailed_balance: pd.DataFrame detailed_balance: pd.DataFrame

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@@ -0,0 +1,17 @@
import sys
import pandas as pd
from PyQt6.QtWidgets import QApplication
from banking_breakdown.ui.main_window import MainWindow
def show_main_window(df: pd.DataFrame = None):
app = QApplication(sys.argv)
window = MainWindow()
if df is not None:
window.set_statement_data(df)
window.show()
app.exec()

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@@ -0,0 +1,165 @@
import pandas as pd
from PyQt6.QtCore import Qt
from PyQt6.QtGui import QPixmap, QAction
from PyQt6.QtWidgets import QHBoxLayout, QLabel, QMenu, QInputDialog, \
QMessageBox
import banking_breakdown.ui
from banking_breakdown.ui.pandas_model import PandasModel
from importlib import resources
class WarningItem(QHBoxLayout):
"""Item appearing at top of Window with warning icon."""
def __init__(self, text: str, parent=None):
super(WarningItem, self).__init__()
self._warningIcon = QLabel()
pixmap_path = f"{resources.files(banking_breakdown.ui)}/warning.png"
pixmap = QPixmap(pixmap_path)
self._warningIcon.setPixmap(pixmap)
self._label = QLabel(text)
self._label.setWordWrap(True)
self.addWidget(self._warningIcon)
self.addWidget(self._label)
self.setStretch(0, 0)
self.setStretch(1, 1)
def hide(self):
self._label.hide()
self._warningIcon.hide()
class HeaderContextMenu(QMenu):
"""Context menu appearing when right-clicking the header of the QTableView.
"""
def __init__(self, column_index, pandas_model: PandasModel, callback=None,
parent=None):
super(HeaderContextMenu, self).__init__()
self._pandas_model = pandas_model
self._callback = callback
self._column_index = column_index
self._column_text \
= self._pandas_model.headerData(self._column_index,
Qt.Orientation.Horizontal)
# Define assign action
assign_menu = QMenu("Assign type", self)
assign_date_action = QAction("date", self)
assign_float_action = QAction("float", self)
assign_menu.addAction(assign_date_action)
assign_menu.addAction(assign_float_action)
assign_date_action.triggered.connect(self._assign_date_handler)
assign_float_action.triggered.connect(self._assign_float_handler)
# Define other actions
rename_action = QAction("Rename", self)
delete_action = QAction("Delete", self)
switch_action = QAction("Switch position", self)
rename_action.triggered.connect(self._rename_handler)
delete_action.triggered.connect(self._delete_handler)
switch_action.triggered.connect(self._switch_handler)
# Add actions to menu
self.addAction(rename_action)
self.addAction(delete_action)
self.addAction(switch_action)
self.addAction(assign_menu.menuAction())
def _rename_handler(self):
new_name, flag = QInputDialog.getText(self, "Rename column",
"New name:",
text=self._column_text)
if not flag:
return
if (new_name != self._column_text) and (new_name != ''):
try:
self._pandas_model.rename_column(self._column_text, new_name)
except:
QMessageBox.warning(self, "No action performed",
"An error occurred.")
if self._callback:
self._callback()
def _delete_handler(self):
button = QMessageBox.question(self, "Delete column",
f"Are you sure you want to delete"
f" column '{self._column_text}'?")
if button == QMessageBox.StandardButton.Yes:
self._pandas_model.delete_column_by_index(self._column_index)
if self._callback:
self._callback()
def _switch_handler(self):
df = self._pandas_model.get_dataframe()
columns = [column for column in df.columns
if column != self._column_text]
other_name, flag = QInputDialog.getItem(self, "Switch column position",
f"Switch position of colum "
f"'{self._column_text}' with:",
columns, editable=False)
if not flag:
return
self._pandas_model.switch_columns(self._column_text, other_name)
if self._callback:
self._callback()
def _assign_date_handler(self):
date_format, flag = QInputDialog.getText(self, "Format",
"Format:",
text="%d.%m.%Y")
if not flag:
return
try:
self._pandas_model.assign_date_column(self._column_text,
date_format)
except:
QMessageBox.warning(self, "No action performed",
"An error occurred.")
if self._callback:
self._callback()
def _assign_float_handler(self):
chars = ['.', ',']
decimal_sep, flag = QInputDialog.getItem(self, "Decimal separator",
"Decimal separator:",
chars, editable=False)
if not flag:
return
try:
self._pandas_model.assign_float_column(self._column_text,
decimal_sep)
except:
QMessageBox.warning(self, "No action performed",
"An error occurred.")
if self._callback:
self._callback()

View File

@@ -0,0 +1,283 @@
import typing
import pandas as pd
from PyQt6 import uic
from PyQt6.QtCore import Qt, QSortFilterProxyModel
from PyQt6.QtGui import QAction
from PyQt6.QtWidgets import QMainWindow, QPushButton, QVBoxLayout, \
QTableView, QInputDialog, QMessageBox, QFileDialog, QListWidget
import banking_breakdown.ui
from banking_breakdown.ui.pandas_model import PandasModel
from banking_breakdown.ui.custom_ui_items import WarningItem, HeaderContextMenu
from importlib import resources
class MainWindow(QMainWindow):
def __init__(self):
super(MainWindow, self).__init__()
ui_path = f"{resources.files(banking_breakdown.ui)}/main_window.ui"
uic.loadUi(ui_path, self)
self.setContentsMargins(9, 9, 9, 9)
self._warnings = []
# Extract elements
self._warning_layout \
= self.findChild(QVBoxLayout, "warningLayout")
self._create_button \
= self.findChild(QPushButton, "createCategoryButton")
self._rename_button \
= self.findChild(QPushButton, "renameCategoryButton")
self._delete_button \
= self.findChild(QPushButton, "deleteCategoryButton")
self._apply_button \
= self.findChild(QPushButton, "applyCategoryButton")
self._clear_button \
= self.findChild(QPushButton, "clearCategoryButton")
self._list_widget \
= self.findChild(QListWidget, "categoryListWidget")
self._table_view \
= self.findChild(QTableView, "transactionTableView")
self._action_save \
= self.findChild(QAction, "actionSave")
# Set scrolling behavior
self._table_view.horizontalScrollBar().setSingleStep(10)
self._table_view.verticalScrollBar().setSingleStep(10)
# Set up QTableView model
self._pandas_model = PandasModel(self)
self._proxy_model = QSortFilterProxyModel(self)
self._proxy_model.setSourceModel(self._pandas_model)
self._table_view.setModel(self._proxy_model)
self._proxy_model.setSortRole(Qt.ItemDataRole.EditRole)
self._proxy_model.setDynamicSortFilter(False)
# Set event handlers
self._create_button.clicked.connect(self._handle_create_click)
self._rename_button.clicked.connect(self._handle_rename_click)
self._delete_button.clicked.connect(self._handle_delete_click)
self._clear_button.clicked.connect(self._handle_clear_click)
self._apply_button.clicked.connect(self._handle_apply_click)
self._list_widget.itemActivated.connect(self._handle_item_double_click)
self._action_save.triggered.connect(self._handle_save)
header = self._table_view.horizontalHeader()
header.setContextMenuPolicy(Qt.ContextMenuPolicy.CustomContextMenu)
header.customContextMenuRequested.connect(
self._handle_header_right_click)
self._list_widget.itemSelectionChanged.connect(
self._handle_list_selection_changed)
self._table_view.selectionModel().selectionChanged.connect(
self._handle_table_selection_changed)
#
# Table data updates
#
def set_statement_data(self, df: pd.DataFrame):
self._pandas_model.set_dataframe(df)
self._dataframe_update_callback()
self._resize_table_columns_to_content()
def get_statement_data(self) -> pd.DataFrame:
return self._pandas_model.get_dataframe()
def _dataframe_update_callback(self):
self._show_warnings()
self._update_categories_from_dataframe()
def _resize_table_columns_to_content(self):
df = self._pandas_model.get_dataframe()
# Resize columns
if len(df.columns) < 10: # Experimentally determined threshold
# Properly resize columns (takes longer)
self._table_view.resizeColumnsToContents()
else:
# Quickly approximate sizes
for i, col in enumerate(df.columns):
max_char = max(max([len(str(x)) for x in df[col].values]),
len(col))
self._table_view.setColumnWidth(i, max_char * 10)
def _assign_category_to_selected_transactions(self, category: str):
indexes = self._table_view.selectionModel().selectedRows()
row_indices = [self._table_view.model().mapToSource(index).row()
for index in indexes]
self._pandas_model.assign_category(category, row_indices)
#
# List data updates
#
def _add_categories(self, categories: typing.Sequence[str]):
for category in categories:
self._list_widget.addItem(category)
def _update_categories_from_dataframe(self):
df_categories = self._pandas_model.get_categories()
current_categories = [self._list_widget.item(x).text() for x
in range(self._list_widget.count())]
missing = list(set(df_categories) - set(current_categories))
self._add_categories([category for category
in missing if category != ' '])
#
# Warnings
#
def _add_warning_item(self, text: str):
warning_item = WarningItem(text=text, parent=self)
self._warning_layout.addLayout(warning_item)
self._warnings.append(warning_item)
def _show_warnings(self):
for warning_item in self._warnings:
warning_item.hide()
self._warning_layout.removeItem(warning_item)
columns = self._pandas_model.get_columns()
if 't' not in columns:
self._add_warning_item(
"The column 't' does not exist. Please rename the column"
" containing the dates of the transactions to 't'.")
if 'value' not in columns:
self._add_warning_item(
"The column 'value' does not exist. Please rename the column"
" containing the values of the transactions to 'value'.")
if 'balance' not in columns:
self._add_warning_item(
"The column 'balance' does not exist. Please rename the column"
" containing the balance after each transaction to 'balance'")
#
# Event handlers
#
def _handle_header_right_click(self, pos):
column = self._table_view.horizontalHeader().logicalIndexAt(pos)
context = HeaderContextMenu(parent=self, column_index=column,
pandas_model=self._pandas_model,
callback=self._dataframe_update_callback)
context.exec(self.sender().mapToGlobal(pos))
def _handle_rename_click(self):
selected_item = self._list_widget.currentItem()
new_name, flag = QInputDialog.getText(self, "Rename category",
"New name:",
text=selected_item.text())
if not flag:
return
current_items = [self._list_widget.item(x).text() for x
in range(self._list_widget.count())]
if new_name not in current_items:
self._pandas_model.rename_category(selected_item.text(), new_name)
selected_item.setText(new_name)
else:
QMessageBox.warning(self, "No action performed",
f"Category '{new_name}' already exists.")
def _handle_create_click(self):
new_name, flag = QInputDialog.getText(self, "Create category",
"New category:",
text="Category")
if not flag:
return
current_items = [self._list_widget.item(x).text() for x
in range(self._list_widget.count())]
if new_name not in current_items:
self._add_categories([new_name])
else:
QMessageBox.warning(self, "No action performed",
f"Category '{new_name}' already exists.")
def _handle_delete_click(self):
selected_item = self._list_widget.currentItem()
button = QMessageBox.question(self, "Delete category",
f"Are you sure you want to delete"
f" category '{selected_item.text()}'?")
if button == QMessageBox.StandardButton.Yes:
self._pandas_model.delete_category(selected_item.text())
self._list_widget.takeItem(self._list_widget.row(selected_item))
def _handle_clear_click(self):
self._assign_category_to_selected_transactions(' ')
def _handle_apply_click(self):
category = self._list_widget.selectedItems()[0].text()
self._assign_category_to_selected_transactions(category)
def _handle_item_double_click(self, item):
self._assign_category_to_selected_transactions(item.text())
def _handle_save(self):
filename, _ = QFileDialog.getSaveFileName(self, 'Save File')
if filename == '':
return
df = self.get_statement_data()
df.to_csv(filename, index=False)
#
# Enable / Disable buttons
#
def _check_enable_delete_button(self):
if len(self._list_widget.selectedItems()) > 0:
self._delete_button.setEnabled(True)
else:
self._delete_button.setEnabled(False)
def _check_enable_clear_button(self):
if len(self._table_view.selectionModel().selectedRows()) > 0:
self._clear_button.setEnabled(True)
else:
self._clear_button.setEnabled(False)
def _check_enable_apply_button(self):
if ((len(self._table_view.selectionModel().selectedRows()) > 0)
and (len(self._list_widget.selectedItems()) > 0)):
self._apply_button.setEnabled(True)
else:
self._apply_button.setEnabled(False)
def _check_enable_rename_button(self):
if (len(self._list_widget.selectedItems()) > 0):
self._rename_button.setEnabled(True)
else:
self._rename_button.setEnabled(False)
def _handle_list_selection_changed(self):
self._check_enable_delete_button()
self._check_enable_apply_button()
self._check_enable_rename_button()
def _handle_table_selection_changed(self):
self._check_enable_clear_button()
self._check_enable_apply_button()

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<?xml version="1.0" encoding="UTF-8"?>
<ui version="4.0">
<class>MainWindow</class>
<widget class="QMainWindow" name="MainWindow">
<property name="geometry">
<rect>
<x>0</x>
<y>0</y>
<width>1300</width>
<height>731</height>
</rect>
</property>
<property name="windowTitle">
<string>MainWindow</string>
</property>
<widget class="QWidget" name="centralwidget">
<layout class="QVBoxLayout" name="verticalLayout_4">
<property name="spacing">
<number>0</number>
</property>
<item>
<layout class="QHBoxLayout" name="horizontalLayout_6">
<item>
<widget class="QWidget" name="widget" native="true">
<property name="maximumSize">
<size>
<width>600</width>
<height>16777215</height>
</size>
</property>
<layout class="QVBoxLayout" name="warningLayout">
<property name="topMargin">
<number>0</number>
</property>
<property name="bottomMargin">
<number>0</number>
</property>
</layout>
</widget>
</item>
</layout>
</item>
<item>
<layout class="QHBoxLayout" name="horizontalLayout_3" stretch="0,1">
<item>
<widget class="QGroupBox" name="groupBox">
<property name="title">
<string>Categories</string>
</property>
<layout class="QVBoxLayout" name="verticalLayout_2">
<item>
<layout class="QHBoxLayout" name="horizontalLayout">
<item>
<widget class="QPushButton" name="createCategoryButton">
<property name="toolTip">
<string>Create new category</string>
</property>
<property name="text">
<string>Create</string>
</property>
</widget>
</item>
<item>
<widget class="QPushButton" name="renameCategoryButton">
<property name="enabled">
<bool>false</bool>
</property>
<property name="toolTip">
<string>Rename selected category</string>
</property>
<property name="text">
<string>Rename</string>
</property>
</widget>
</item>
</layout>
</item>
<item>
<layout class="QHBoxLayout" name="horizontalLayout_4">
<item>
<spacer name="horizontalSpacer">
<property name="orientation">
<enum>Qt::Horizontal</enum>
</property>
<property name="sizeHint" stdset="0">
<size>
<width>40</width>
<height>20</height>
</size>
</property>
</spacer>
</item>
<item>
<widget class="QPushButton" name="deleteCategoryButton">
<property name="enabled">
<bool>false</bool>
</property>
<property name="toolTip">
<string>Delete selected category</string>
</property>
<property name="text">
<string>Delete</string>
</property>
</widget>
</item>
</layout>
</item>
<item>
<widget class="QListWidget" name="categoryListWidget">
<property name="sizeAdjustPolicy">
<enum>QAbstractScrollArea::AdjustToContents</enum>
</property>
<property name="sortingEnabled">
<bool>true</bool>
</property>
</widget>
</item>
<item>
<layout class="QHBoxLayout" name="horizontalLayout_2">
<item>
<widget class="QPushButton" name="clearCategoryButton">
<property name="enabled">
<bool>false</bool>
</property>
<property name="toolTip">
<string>Clear category field of selected transactions</string>
</property>
<property name="text">
<string>Clear</string>
</property>
</widget>
</item>
<item>
<widget class="QPushButton" name="applyCategoryButton">
<property name="enabled">
<bool>false</bool>
</property>
<property name="toolTip">
<string>Apply selected category to selected transactions</string>
</property>
<property name="text">
<string>Apply</string>
</property>
</widget>
</item>
</layout>
</item>
</layout>
</widget>
</item>
<item>
<widget class="QGroupBox" name="groupBox_2">
<property name="title">
<string>Transactions</string>
</property>
<layout class="QVBoxLayout" name="verticalLayout">
<item>
<widget class="QTableView" name="transactionTableView">
<property name="autoScroll">
<bool>false</bool>
</property>
<property name="selectionBehavior">
<enum>QAbstractItemView::SelectRows</enum>
</property>
<property name="verticalScrollMode">
<enum>QAbstractItemView::ScrollPerPixel</enum>
</property>
<property name="horizontalScrollMode">
<enum>QAbstractItemView::ScrollPerPixel</enum>
</property>
<property name="sortingEnabled">
<bool>true</bool>
</property>
<attribute name="horizontalHeaderShowSortIndicator" stdset="0">
<bool>true</bool>
</attribute>
<attribute name="horizontalHeaderStretchLastSection">
<bool>true</bool>
</attribute>
</widget>
</item>
</layout>
</widget>
</item>
</layout>
</item>
</layout>
</widget>
<widget class="QMenuBar" name="menubar">
<property name="geometry">
<rect>
<x>0</x>
<y>0</y>
<width>1300</width>
<height>23</height>
</rect>
</property>
<widget class="QMenu" name="menuFile">
<property name="title">
<string>File</string>
</property>
<addaction name="actionSave"/>
</widget>
<addaction name="menuFile"/>
</widget>
<widget class="QStatusBar" name="statusbar"/>
<action name="actionSave">
<property name="text">
<string>Save</string>
</property>
<property name="shortcut">
<string>Ctrl+S</string>
</property>
</action>
</widget>
<resources/>
<connections/>
</ui>

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import typing
import numpy
import pandas as pd
from PyQt6 import QtCore
from PyQt6.QtCore import Qt, QModelIndex, QSortFilterProxyModel
def _get_str_dataframe(df: pd.DataFrame) -> pd.DataFrame:
"""Return a given dataframe with all values turned into strings.
When the data given to the PandasModel class contains non-strings,
an attached QTableView seems to respond rather slowly. This function
turns all data in the DataFrame into strings, yielding a better experience.
"""
return df.astype(str)
class PandasModel(QtCore.QAbstractTableModel):
def __init__(self, parent=None):
QtCore.QAbstractTableModel.__init__(self, parent)
self._data = pd.DataFrame()
self._data_str = pd.DataFrame()
#
# Overloaded functions
#
def rowCount(self, parent=None):
return len(self._data_str.values)
def columnCount(self, parent=None):
return self._data_str.columns.size
def data(self, index, role=Qt.ItemDataRole.DisplayRole):
if not index.isValid():
return QtCore.QVariant()
if (role != Qt.ItemDataRole.DisplayRole) and (
role != Qt.ItemDataRole.EditRole):
return QtCore.QVariant()
if role == Qt.ItemDataRole.DisplayRole:
item = self._data_str.iloc[index.row(), index.column()]
return QtCore.QVariant(item)
elif role == Qt.ItemDataRole.EditRole:
item = self._data.iloc[index.row(), index.column()]
if type(item) is numpy.float64:
return QtCore.QVariant(float(item))
else:
return QtCore.QVariant(item)
def headerData(self, section, orientation,
role=Qt.ItemDataRole.DisplayRole):
if not ((orientation == Qt.Orientation.Horizontal)
and (role == Qt.ItemDataRole.DisplayRole)):
return super().headerData(section, orientation, role)
return self._data_str.columns[section]
#
# Manipulate categories
#
def assign_category(self, category, row_indices):
if 'category' not in self._data.columns:
self.create_column('category')
self._data.loc[row_indices, 'category'] = category
self._data_str = _get_str_dataframe(self._data)
for row_index in row_indices:
start_index = self.index(row_index, 0)
stop_index = self.index(row_index, len(self._data.columns) - 1)
self.dataChanged.emit(start_index, stop_index)
def delete_category(self, category):
if 'category' not in self._data.columns:
self.create_column('category')
row_indices = self._data.loc[self._data['category'] == category].index
self.assign_category(' ', row_indices)
def rename_category(self, old_name, new_name):
if 'category' not in self._data.columns:
self.create_column('category')
row_indices = self._data.loc[self._data['category'] == old_name].index
self.assign_category(new_name, row_indices)
def get_categories(self) -> typing.List[str]:
if 'category' not in self._data.columns:
self.create_column('category')
return self._data['category'].unique()
#
# Manipulate columns
#
def create_column(self, column, initial_value=' '):
self._data[column] = [initial_value] * len(self._data.index)
self._data_str = _get_str_dataframe(self._data)
self.layoutAboutToBeChanged.emit()
self.layoutChanged.emit()
def delete_column_by_index(self, column_index):
self._data \
= self._data.iloc[:, [j for j, c in enumerate(self._data.columns)
if j != column_index]]
self._data_str = _get_str_dataframe(self._data)
self.layoutAboutToBeChanged.emit()
self.layoutChanged.emit()
def rename_column(self, old_name, new_name):
if new_name in self._data.columns:
raise Exception(
f"A column with the name '{new_name}' already exists.")
self._data = self._data.rename(columns={old_name: new_name})
self._data_str = _get_str_dataframe(self._data)
column_index = self._data.columns.get_loc(new_name)
self.headerDataChanged.emit(Qt.Orientation.Horizontal,
column_index, column_index)
def switch_columns(self, column1, column2):
column_titles = list(self._data.columns)
index1, index2 \
= column_titles.index(column1), column_titles.index(column2)
column_titles[index1], column_titles[index2] \
= column_titles[index2], column_titles[index1]
self._data = self._data.reindex(columns=column_titles)
self._data_str = _get_str_dataframe(self._data)
self.layoutAboutToBeChanged.emit()
self.layoutChanged.emit()
def get_columns(self) -> typing.List[str]:
return list(self._data.columns)
def assign_float_column(self, column, decimal_sep):
if decimal_sep == ',':
self._data[column] \
= self._data[column].str.replace(',', '.').astype(float)
else:
self._data[column] = self._data[column].astype(float)
self._data_str = _get_str_dataframe(self._data)
column_index = self._data.columns.get_loc(column)
start_index = self.index(0, column_index)
stop_index = self.index(len(self._data.index), column_index)
self.dataChanged.emit(start_index, stop_index)
def assign_date_column(self, column, date_format):
self._data[column] \
= pd.to_datetime(self._data[column], format=date_format)
self._data_str = _get_str_dataframe(self._data)
#
# Directly access dataframe
#
def set_dataframe(self, df):
self._data = df
self._data_str = _get_str_dataframe(df)
self.layoutAboutToBeChanged.emit()
self.layoutChanged.emit()
def get_dataframe(self) -> pd.DataFrame:
return self._data

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4
requirements.txt Normal file
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numpy==1.26.3
pandas==1.5.3
PyQt6==6.6.1
setuptools==69.0.3

20
setup.py Normal file
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import os
from setuptools import setup
with open('requirements.txt') as f:
required = f.read().splitlines()
setup(
name='banking_breakdown',
version='1.0',
description='Visualize bank statements',
author='Andreas Tsouchlos',
packages=['banking_breakdown', 'banking_breakdown.ui', 'banking_breakdown.document_builder'],
install_requires=required,
package_data={'banking_breakdown.ui': ['main_window.ui', 'warning.png'],
'banking_breakdown.document_builder': ['.latexmkrc', 'Dockerfile.alpine', 'report.tex', 'common.tex']},
include_package_data=True,
)