{ "componentChunkName": "component---src-templates-blog-post-js", "path": "/fill-in-null-values-in-a-pandas-dataframe-using-the-fillna-method/", "result": {"data":{"markdownRemark":{"html":"

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")\n\nbudget
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Output:

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\n \n \n \n \n

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We can see that there are missing values in the LTL Flag and the July’19 Budget columns.

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Let’s call the fillna() method on the budget DataFrame.

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budget.fillna(value = 0, inplace = True)\n\nbudget
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Output:

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\n \n \n \n \n

\n","frontmatter":{"title":"Fill in Null Values in a Pandas DataFrame Using the fillna() Method","date":"2021-08-07"}}},"pageContext":{"slug":"/fill-in-null-values-in-a-pandas-dataframe-using-the-fillna-method/","prev":{"fields":{"slug":"/delete-rows-with-null-values-in-a-pandas-dataframe/"},"frontmatter":{"modules":null}},"next":{"fields":{"slug":"/python-data-types-strings/"},"frontmatter":{"modules":null}}}}, "staticQueryHashes": ["3159585216"]}