From d3c1a2db36f921b5fada16459516d84a574482f1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jure=20=C5=A0orn?= Date: Sun, 1 Dec 2024 18:10:42 +0100 Subject: [PATCH] Fixed Pandas dataframe --- README.md | 2 +- index.html | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 5df7546..fdcbdc9 100644 --- a/README.md +++ b/README.md @@ -3317,7 +3317,7 @@ c 6 7 ```python = .sum/max/mean/idxmax/all() # Or: .apply/agg(lambda : ) = .rank/diff/cumsum/ffill/interpo…() # Or: .apply/agg/transform(lambda : ) - = .isna/fillna/isin([]) # Or: .agg/transform/map(lambda : ) + = .isna/fillna/isin([]) # Or: .applymap(lambda : ) ``` ```text diff --git a/index.html b/index.html index 94dda56..e450bed 100644 --- a/index.html +++ b/index.html @@ -2698,7 +2698,7 @@ c 6 7

DataFrame — Aggregate, Transform, Map:

<S>  = <DF>.sum/max/mean/idxmax/all()          # Or: <DF>.apply/agg(lambda <S>: <el>)
 <DF> = <DF>.rank/diff/cumsum/ffill/interpo…()  # Or: <DF>.apply/agg/transform(lambda <S>: <S>)
-<DF> = <DF>.isna/fillna/isin([<el/coll>])      # Or: <S>.agg/transform/map(lambda <el>: <el>)
+<DF> = <DF>.isna/fillna/isin([<el/coll>])      # Or: <DF>.applymap(lambda <el>: <el>)
 
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