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Tag: pandas

Normalizing JSON in Python

I have a JSON response which is: I then use pd.json_normalize(Response,’Neighborhoods’) for normalizing. The Location part is then flattened out as I want, as two columns “Location.Lat” and “Location.Lon”. My issue is “ProjectIds” which I get in one column as Bu…

Splitting a dataframe with many labels

I’m trying to split my data by different labels, like this: And this works fine for small amounts of numbers. However, I want to do this for many values. for example: This spits outs an error: ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). I&#8…

rename a dataframe automatically

I want to automatically rename my dataframe with 3 name ,I tried with this code but it shows me each time only the last name : the result I want to achieve : Answer Can do it dynamically by multiplying the list to repeat it. Then slice by the length of the df.columns

Select all row where all columns are equal to value

I have a pandas dataframe and I need to select the rows where all the columns are equal to 0.00. How can I do that? Answer First, we’ll setup some example data to work on – here there are 3 columns, but it could be more, or fewer in your example. And define a function that accepts a row from