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pandas is a Python library for labelled tabular and time-series data. Its Series and DataFrame types support filtering, missing values, joins, reshaping, grouping, aggregation, rolling calculations, and rich date-time operations with column-aware indexes.
CompileBytes runs Python 3.14.6 with pandas 3.0.3 in an isolated hosted scientific runtime; NumPy 2.5.1 and Matplotlib 3.11.1 are also preinstalled. The environment is intended for compact, in-memory examples. It cannot upload local datasets, fetch remote URLs, install packages, or preserve generated files between runs.
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import pandas as pd
df = pd.DataFrame({"name": ["Ada", "Grace"], "score": [96, 91]})
print(df.to_string(index=False))import pandas as pd
df = pd.DataFrame({"item": ["A", "B", "C"], "price": [8, 15, 22]})
result = df.loc[df.price >= 10].assign(tax=lambda x: x.price * .2)
print(result)import pandas as pd
sales = pd.DataFrame({"team": ["A", "A", "B"], "amount": [10, 15, 7]})
print(sales.groupby("team", as_index=False).agg(total=("amount", "sum"), orders=("amount", "size")))import pandas as pd
orders = pd.DataFrame({"user_id": [1, 2], "total": [25, 40]})
users = pd.DataFrame({"user_id": [1, 2], "name": ["Ada", "Grace"]})
print(orders.merge(users, on="user_id"))import pandas as pd
s = pd.Series([2, 5, 4, 8], index=pd.date_range("2026-01-01", periods=4))
print(pd.DataFrame({"value": s, "rolling": s.rolling(2).mean()}))The editor uses Monaco, the engine behind VS Code, with language-aware editing tools and familiar keyboard controls.
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pandas is one of 46 single-file compiler scratchpads. Each run submits only main.py; local sibling-file imports are not enabled.
Linked-project languages (23): Node.js, TypeScript, Deno, Python, C, Go, Dart, Swift, Rust, Ruby, PHP, Java, Kotlin, C++, C#, Nim, Crystal, Haxe, Zig, Scala, D, Bun, Objective-C.
Single-file scratchpads (46): Matplotlib, NumPy, pandas, Haskell, Clojure, Perl, Lua, Tcl, jq, Raku, Elixir, Bash, Zsh, Nushell, R, Assembly (NASM), Julia, Octave, Groovy, PowerShell, Visual Basic .NET, Odin, Pascal, Lisp, Erlang, CoffeeScript, COBOL, BASIC, V, Racket, OCaml, Prolog, AWK, Emacs Lisp, Emojicode, Forth, F#, Fortran, Assembly (NASM64), Solidity, Mojo, Ada, WASM (WAT), Gleam, Shell Script (sh), Scheme.
Download file exports the active pandas source file.