How do I select rows from a DataFrame based on column values?

To select rows whose column value equals a scalar, some_value, use ==: To select rows whose column value is in an iterable, some_values, use isin: Combine multiple conditions with &: Note the parentheses. Due to Python’s operator precedence rules, & binds more tightly than <= and >=. Thus, the parentheses in the last example are necessary. Without the parentheses is parsed as which results in a Truth … Read more

Convert Python dict into a dataframe

The error here, is since calling the DataFrame constructor with scalar values (where it expects values to be a list/dict/… i.e. have multiple columns): You could take the items from the dictionary (i.e. the key-value pairs): But I think it makes more sense to pass the Series constructor:

ImportError: No module named pandas

You’re missing a few (not terribly clear) steps. Pandas is distributed through pip as a wheel, which means you need to do: You’re probably going to run into other issues after this – it looks like you’re installing on Windows which isn’t the most friendly of targets for NumPy, SciPy, and Pandas. Alternatively, you could pickup a binary installer … Read more

Merging dataframes on index with pandas

You should be able to use join, which joins on the index as default. Given your desired result, you must use outer as the join type. Signature: _.join(other, on=None, how=’left’, lsuffix=”, rsuffix=”, sort=False) Docstring: Join columns with other DataFrame either on index or on a key column. Efficiently Join multiple DataFrame objects by index at … Read more