an.tsouchlos/banking-breakdown
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Fix dates on x axis

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This commit is contained in:
Andreas Tsouchlos 2023-12-31 21:39:53 +01:00
parent 1dab0d748f
commit dd9e44eace
2 changed files with 56 additions and 16 deletions
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42
banking_breakdown/__main__.py
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@ -1,34 +1,48 @@
import pandas as pd
from banking_breakdown import document_builder
import subprocess
import os
import shutil
import pandas as pd
from banking_breakdown import types
import numpy as np
def main():
def _generate_dummy_data() -> types.ReportData:
categories = ["A", "B", "C", "D", "E", "F", "G"]
values = np.array([10, 12, 53, 12, 90, 23, 32])
values = values / values.sum() * 100
total_value = np.random.normal(size=10) + 4
net_income = np.diff(total_value)
values = np.round(values, decimals=1)
values[-1] += 100 - np.sum(values)
category_overview_df = pd.DataFrame(
{"category": categories, "value": values.astype('int32')})
t = np.linspace(0, total_value.size, total_value.size)
total_value_df = pd.DataFrame({"t": t, "value": total_value})
t = np.linspace(0, net_income.size, net_income.size)
{"category": categories, "value": values})
t = ["2023-01-01",
"2023-02-01",
"2023-03-01",
"2023-04-01",
"2023-05-01",
"2023-06-01",
"2023-07-01",
"2023-08-01",
"2023-09-01",
"2023-10-01",
"2023-11-01",
"2023-12-01"]
net_income = 200 * np.random.normal(size=len(t)) + 100
net_income_df = pd.DataFrame({"t": t, "value": net_income})
total_value = np.cumsum(net_income)
total_value_df = pd.DataFrame({"t": t, "value": total_value})
report_data = types.ReportData(category_overview=category_overview_df,
net_income=net_income_df,
total_value=total_value_df)
return report_data
def main():
report_data = _generate_dummy_data()
document_builder.build_document(report_data)

30
res/report.tex
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@ -4,6 +4,7 @@
\usepackage{amsmath}
\usepackage{pgfplots}
\pgfplotsset{compat=newest}
\usetikzlibrary{pgfplots.dateplot}
% Other packages
\usepackage[a4paper, total={12cm, 25cm}]{geometry}
@ -30,6 +31,10 @@
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\makeatletter
\newcommand*\shortyear[1]{\expandafter\@gobbletwo\number\numexpr#1\relax}
\makeatother
\newcommand{\slice}[6]{
\pgfmathparse{0.5*#1+0.5*#2}
\let\midangle\pgfmathresult
@ -136,15 +141,28 @@
\begin{tikzpicture}
\begin{axis}[
date coordinates in=x,
width=\textwidth,
height=0.375\textwidth,
ylabel={Net income in €},
y label style={at={(-0.1,0.5)},anchor=south},
xticklabel=\month.\shortyear{\year},
xtick=data,
xticklabel style={
rotate=60,
anchor=near xticklabel,
},
grid,
]
\addplot+[ybar, color=scol2, fill=scol2, line width=1pt]
% Dummy plot to set x axis labels
\addplot[draw=none]
table[col sep=comma, x=t, y=value]
{net_income.csv};
\addplot[ybar, color=scol2, fill=scol2, line width=1pt]
table[col sep=comma, x=t, y=value, discard if lt={value}{0}]
{net_income.csv};
\addplot+[ybar, color=scol0, fill=scol0, line width=1pt]
\addplot[ybar, color=scol0, fill=scol0, line width=1pt]
table[col sep=comma, x=t, y=value, discard if gt={value}{0}]
{net_income.csv};
\end{axis}
@ -155,11 +173,19 @@
\begin{tikzpicture}
\begin{axis}[
date coordinates in=x,
width=\textwidth,
height=0.375\textwidth,
area style,
ylabel={Total balance in €},
y label style={at={(-0.1,0.5)},anchor=south},
xticklabel=\month.\shortyear{\year},
xtick=data,
xticklabel style={
rotate=60,
anchor=near xticklabel,
},
grid,
]
\addplot+[mark=none, color=scol1, line width=1pt]
table[col sep=comma, x=t, y=value]