Data Interoperability
Export to Any Ecosystem
From spreadsheet formulas to Jupyter Notebooks and LaTeX papers — your digitized data is structured and ready for immediate computation.
PY
One-Click CopyPython (Pandas / NumPy / Matplotlib)
Ready for immediate execution in Jupyter, Colab, or VS Code.
import pandas as pd
import matplotlib.pyplot as plt
# Data digitized with AI Graph Reader (aigraphreader.com)
df = pd.DataFrame({
'x_axis': [10.2, 20.5, 30.1, 40.8, 50.4, 60.0, 70.9, 80.3],
'y_series_1': [142.5, 230.1, 385.0, 420.2, 495.8, 510.0, 480.2, 410.5]
})
# Quick statistics & preview
print(df.describe())
# Re-plot verification
plt.plot(df['x_axis'], df['y_series_1'], 'b-o', label='Digitized Curve')
plt.grid(True)
plt.show()MAT
.m Vector CodeMATLAB Matrix (.m Script)
Direct vector assignments for engineering simulations and Simulink models.
% Digitized data vectors from AI Graph Reader
x_coords = [10.2, 20.5, 30.1, 40.8, 50.4, 60.0, 70.9, 80.3];
y_coords = [142.5, 230.1, 385.0, 420.2, 495.8, 510.0, 480.2, 410.5];
figure;
plot(x_coords, y_coords, '-s', 'LineWidth', 1.8, 'Color', [0, 0.44, 0.95]);
grid on; xlabel('X-Axis'); ylabel('Y-Axis');
title('Digitized Response Curve');XLS
Spreadsheet DownloadMS Excel (.xlsx) & CSV/TSV
Formatted tables with column headers, delimiters, and floating point precision.
Point_Index,X_Value,Y_Value,Series_Name
1,10.20,142.50,"Series A"
2,20.50,230.10,"Series A"
3,30.10,385.00,"Series A"
4,40.80,420.20,"Series A"
5,50.40,495.80,"Series A"TEX
Overleaf ReadyLaTeX Table (Academic Publishing)
Instant copy-paste syntax for Overleaf, IEEE, and Springer manuscripts.
\begin{table}[h]
\centering
\begin{tabular}{|c|c|c|}
\hline
\textbf{Index} & \textbf{X Value} & \textbf{Y Value} \\
\hline
1 & 10.20 & 142.50 \\
2 & 20.50 & 230.10 \\
3 & 30.10 & 385.00 \\
4 & 40.80 & 420.20 \\
\hline
\end{tabular}
\caption{Digitized Experimental Data from AI Graph Reader}
\label{tab:digitized_data}
\end{table}