Look at a TDMS file before writing Python

With npTDMS

The npTDMS library reads TDMS files in Python. It is installed with pip install npTDMS.

from nptdms import TdmsFile

tdms = TdmsFile.read("measurement.tdms")
for group in tdms.groups():
    for channel in group.channels():
        print(group.name, channel.name, len(channel))

df = tdms.as_dataframe()

For files larger than memory, TdmsFile.open reads values on demand instead of loading them all.

Without code

To see what a file contains before writing a script, or to hand it to a colleague who does not use Python, drop it above. The groups, channels and properties are listed, the channels are plotted, and the export writes CSV or Parquet. The file is read in the browser and never uploaded.

import pandas as pd
df = pd.read_parquet("measurement_Group.parquet")

Same values

This reader is tested against npTDMS: on every test file, the channels, properties and values it reads are compared with what npTDMS reads, and so are the exported CSV and Parquet files.