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[FEAT] Add Dtypes method to DataFrame #177

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[FEAT] Add Dtypes method to DataFrame #177

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14 changes: 14 additions & 0 deletions spark/sql/dataframe.go
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Original file line number Diff line number Diff line change
Expand Up @@ -102,6 +102,8 @@ type DataFrame interface {
Describe(ctx context.Context, cols ...string) DataFrame
// Distinct returns a new DataFrame containing the distinct rows in this DataFrame.
Distinct(ctx context.Context) DataFrame
// Dtypes returns the list of column names and their data types as a list of [name, type] pairs.
Dtypes(ctx context.Context) ([][2]string, error)
// Drop returns a new DataFrame that drops the specified list of columns.
Drop(ctx context.Context, columns ...column.Convertible) (DataFrame, error)
// DropByName returns a new DataFrame that drops the specified list of columns by name.
Expand Down Expand Up @@ -312,6 +314,18 @@ func (df *dataFrameImpl) Columns(ctx context.Context) ([]string, error) {
return columns, nil
}

func (df *dataFrameImpl) Dtypes(ctx context.Context) ([][2]string, error) {
schema, err := df.Schema(ctx)
if err != nil {
return nil, err
}
dtypes := make([][2]string, len(schema.Fields))
for i, field := range schema.Fields {
dtypes[i] = [2]string{field.Name, field.DataType.TypeName()}
}
return dtypes, nil
}

func (df *dataFrameImpl) Corr(ctx context.Context, col1, col2 string) (float64, error) {
return df.CorrWithMethod(ctx, col1, col2, "pearson")
}
Expand Down