{ "componentChunkName": "component---src-templates-blog-post-js", "path": "/pandas-apply-method/", "result": {"data":{"markdownRemark":{"html":"

Let’s read the budget.xlsx file into a DataFrame:

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import pandas as pd\n\nbudget = pd.read_excel("budget.xlsx")\n\nbudget
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Output:

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\n \n \n \n \n

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Let's say we want to grade different stores based on their revenue.

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First, we will write a function that contains the grading logic:

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def grade(num):\n    if num > 1000000:\n        return "Grade A"\n    elif num > 500000 and num < 1000000:\n        return "Grade B"\n    else:\n        return "Grade C"
\n

Next, we will pass the grade function to the apply() method, which we will call on the Revenue column.

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budget["Store Grade"] = budget1["Revenue"].apply(grade)\n\nbudget
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Output:

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\n \n \n \n \n

\n","frontmatter":{"title":"Pandas apply() Method","date":"2021-08-14"}}},"pageContext":{"slug":"/pandas-apply-method/","prev":{"fields":{"slug":"/pandas-series-split-strings-by-characters/"},"frontmatter":{"modules":null}},"next":{"fields":{"slug":"/pandas-series-broadcasting-operations/"},"frontmatter":{"modules":null}}}}, "staticQueryHashes": ["3159585216"]}