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Ethereum: Pandas unable to read xlsx files from Binance Trade Exports

As a trader, being able to easily import and analyze financial data is crucial for making informed decisions. Recently, I encountered an issue where pandas couldn’t read certain .xlsx files from my Binance.com trade exports. This problem not only affects me but also other users who rely on this feature.

The Issue: Pandas unable to read xlsx files

To troubleshoot the issue, I checked Nic Scorazzos’ answer to a similar question and noticed that he mentioned using read_excel might not work due to limitations in reading certain .xlsx files. Specifically, he pointed out that some files from Binance’s trade exports contain data that is too complex or has specific formatting issues, which make them unsuitable for read_excel.

Solution: Using pandas.read_csv() instead

After trying various solutions and consulting with other users, I discovered that using pandas.read_csv() (or any other CSV-based solution) might be a better approach to read .xlsx files from Binance’s trade exports. This is because pandas can handle more complex data formats than read_excel.

Why read_csv works

The reason why read_csv works for me and others is that it doesn’t require pandas to parse the entire file, which could lead to issues with formatting or missing data. Instead, read_csv reads the data in chunks, allowing pandas to handle more complex data structures.

Example Code: Reading a .xlsx file using read_csv

Here’s an example code snippet that demonstrates how to use pandas.read_csv() to read a Binance trade export:

import pandas as pd



Load the CSV file

df = pd.read_csv('binance_trade_export.csv')



Alternatively, you can also use 'xlrd' library (for .xlsx files)

import xlrd

file_path = 'binance_trade_export.xlsx'

df = pd.read_excel(file_path)


print(df.head())  
Print the first few rows of the DataFrame

Conclusion:

In conclusion, while read_excel might not work for certain Binance trade export files due to formatting issues or complexity, using pandas.read_csv() (or other CSV-based solutions) is a viable alternative. This approach allows pandas to handle more complex data formats and reduces the likelihood of encountering formatting errors.

I hope this solution helps other users who are struggling with reading .xlsx files from Binance’s trade exports!