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Selecting a single column

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Below, we have read the budget.xlsx file into a DataFrame.

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

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The selected column will be extracted as a Series object.

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type(budget["Store Code"])\n\npandas.core.series.Series
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Selecting two or more columns

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We can select two or more columns from a DataFrame by passing a Python List inside the square brackets, where the List items are the column names that we want to select.

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We can select the Store Code & City columns as shown below:

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budget[["Store Code", "City"]].head()
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Output:

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insert()

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We can also add columns to a DataFrame using the insert() method.

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budget.insert(3, column = "Month", value="August")
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The insert() method permanently modifies the original DataFrame.

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Let’s preview the budget DataFrame.

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budget.head()
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Output:

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We can see that the Month column has been added at the index position 0 and the entire column has been populated with the value August.

\n","frontmatter":{"title":"Selecting & Adding Columns to a DataFrame in Pandas","date":"2021-08-06"}}},"pageContext":{"slug":"/selecting-and-adding-columns-to-a-dataframe-in-pandas/","prev":{"fields":{"slug":"/renaming-columns-in-a-dataframe-in-pandas/"},"frontmatter":{"modules":null}},"next":{"fields":{"slug":"/writing-excel-files-using-pandas/"},"frontmatter":{"modules":null}}}}, "staticQueryHashes": ["3159585216"]}