Excel Analysis
Read, analyze, and transform Excel spreadsheets with pandas, pivot tables, charts, and data cleaning.
- Supports reading single or multiple sheets, filtering, grouping, aggregating, and calculating derived metrics on tabular data
- Create pivot tables programmatically and generate bar, pie, and other chart visualizations using matplotlib
- Write formatted Excel files with auto-adjusted column widths, conditional formatting, bold headers, and color fills using openpyxl
- Merge and concatenate multiple Excel files, handle missing values, remove duplicates, and convert data types for data preparation
- Includes performance optimization options like column selection, chunked reading for large files, and engine selection for different file formats
Excel Analysis
Quick start
Read Excel files with pandas:
import pandas as pd
# Read Excel file
df = pd.read_excel("data.xlsx", sheet_name="Sheet1")
# Display first few rows
print(df.head())
# Basic statistics
print(df.describe())
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