I will explain how to resolve the error TypeError: ufunc ‘isnan’ not supported for the input types. That may occur when you try to plot a seaborn heatmap with pandas data. This error happens when some of the values in your data are not numeric, and seaborn tries to coerce them into numbers, but fails. There are a few possible solutions to this problem, depending on the cause of the error.
One common cause of the error is having None values in your data, which are not recognized as numeric by seaborn. To fix this, you can either drop the rows or columns that contain None values, or fill them with some default value, such as zero or the mean of the column. For example, you can use df.dropna() or df.fillna(0) to handle None values.
Another possible cause of the error is having strings or other non-numeric objects in your data, which cannot be converted to numbers by seaborn. To fix this, you can either remove the columns that contain non-numeric objects, or cast them to numeric types using df.astype(float) or pd.to_numeric(df, errors=’coerce’). For example, you can use df.select_dtypes(include=np.number) or df.apply(pd.to_numeric, errors=’coerce’) to select only numeric columns.
A third possible cause of the error is having NaN values in your data, which are also not recognized as numeric by seaborn. To fix this, you can either drop the rows or columns that contain NaN values, or fill them with some default value, such as zero or the mean of the column. For example, you can use df.dropna() or df.fillna(0) to handle NaN values.
To summarize, if you encounter the error TypeError: ufunc ‘isnan’ not supported for the input types when plotting a seaborn heatmap, you need to make sure that your data contains only numeric values that can be coerced by seaborn. You can use various pandas methods to clean and transform your data before passing it to seaborn. I hope this blog post was helpful and informative for you.