use utah::prelude::*;
let df = DataFrame<f64> = dataframe!(
    {
        "a" =>  col!([2., 3., 2.]),
        "b" =>  col!([2., NAN, 2.])
    });
let a = arr2(&[[2.0, 7.0], [3.0, 4.0]]);
let df : Result<DataFrame<f64>> = DataFrame::new(a).index(&["1", "2"]);

use utah::prelude::*;
let df: DataFrame<f64> = DataFrame::read_csv("test.csv").unwrap();       
let res : DataFrame<f64> = df.remove(&["a", "c"], UtahAxis::Column).as_df()?;

use utah::prelude::*;
let df: DataFrame<f64> = DataFrame::read_csv("test.csv").unwrap();       
let res : DataFrame<f64> = df.df_iter(UtahAxis::Row)
                                     .remove(&["1"])
                                     .select(&["2"])
                                     .append("8", new_data.view())
                                     .sumdf()
                                     .as_df()?;

use utah::prelude::*;
let a = DataFrame<InnerType> = dataframe!(
    {
        "name" =>  col!([InnerType::Str("Alice"),
                            InnerType::Str("Bob"),
                            InnerType::Str("Jane")]),
        "data" =>  col!([InnerType::Float(2.0),
                            InnerType::Empty(),
                            InnerType::Float(3.0)])
    });
let b: DataFrame<InnerType> = DataFrame::read_csv("test.csv").unwrap();
let res : DataFrame<InnerType> = a.concat(&b).as_df()?;