How to Export Engauge Digitizer Data to Excel, CSV & Python
⚡ Quick Answer
Go to File > Export to save your digitized points as CSV. The file opens directly in Excel or Google Sheets. If you are in Europe, check the decimal separator setting first. Multiple curves export as separate columns in one file, and Python users can load the CSV with pandas.read_csv().
Export to Excel (CSV)
- Finish tracing: Make sure all curves are traced and cleaned up in the zoom window.
- Export: Go to File > Export and choose a location for the .csv file.
- Open in Excel: Double-click the CSV file — Excel opens it immediately. The first column holds X values; each additional column holds one curve’s Y values.
- Save as .xlsx: Use File > Save As in Excel to convert it to a native Excel workbook if you prefer.
Fixing the Decimal Separator (European Excel)
This is the most common export headache: Engauge writes dots (3.14) by default, but many European Excel versions expect commas (3,14) and will misread the numbers.
- In Engauge, open the export Settings and set the decimal separator to match your Excel locale before exporting.
- Alternative: after opening the CSV in Excel, use Find & Replace to swap dots for commas in one step.
- Google Sheets handles both separators gracefully if you import via File > Import and pick the right locale.
Exporting Multiple Curves
Working with several curves in one chart? Add each one via the Curves List (View > Curves > Add New Curve) and trace them separately. On export, Engauge writes a single CSV with one column per curve — ready for comparison plots in Excel.
Importing into Python (pandas)
Engauge plus Python is the modern research workflow: extract the data for free, then analyze it like a pro.
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('engauge_export.csv')
print(df.head())
df.plot(x=df.columns[0])
plt.show()Want to get genuinely good at this workflow? The Google Data Analytics professional certificate on Coursera teaches pandas, spreadsheets, and data cleaning from zero — the exact skills that turn extracted CSVs into finished analysis.
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Frequently Asked Questions
What format does Engauge Digitizer export?
Engauge exports plain CSV (comma-separated values) files, which open directly in Excel, Google Sheets, LibreOffice, and Python/pandas. Each curve becomes its own column.
Why does Excel show my numbers with the wrong decimal separator?
European versions of Excel expect commas instead of dots for decimals. In Engauge, check the decimal separator option in the export settings before exporting, or use Find & Replace in Excel afterwards.
Can I export multiple curves into one file?
Yes. Add each curve in the Curves List (View > Curves) before exporting — Engauge writes all curves into a single CSV, one column per curve, sharing the same X values.
How do I get Engauge data into Python?
Export to CSV, then load it with pandas: import pandas as pd; df = pd.read_csv(‘data.csv’). From there you can clean, analyze, and re-plot the data with matplotlib.
Ready to try it yourself?
Download Engauge Digitizer free and follow along with this guide.
Download Engauge Digitizer