magpie ~dev

Magpie - Mir Data Analysis and Processing Library

DataFrame project for GSoC 2019.

The goal of the project is to deliver a DataFrame that behaves just like Pandas in Python.

Usage

import magpie.frame: DataFrame;

DataFrame!double df;    // This declared a dataframe such that it contains homogeneous data of type double
df = [[1.2,2.4],[3.6, 4.8]];
assert(df.data == [1.2,2.4, 3.6, 4.8].sliced(2,2).universal);   // Data is stored as a Universal 2D slice
df.display();
df.to_csv("./example.csv");
df.from_csv("./example.csv", 1, 1);
df.display();

Structure

• The DataFrame structure is defined as:

struct DataFrame(T)
{
    Index frameIndex;
    Slice!(T*, 2, Universal) data;
}

Functions

display()

Displays the content of the dataframe on the terminal.

to_csv(string path, bool writeIndex = true, bool writeColumn = true, char sep = ",")

Writes the DataFrame to CSV format.

• writeIndex - If set true writes row indexes to the file.
• writeColumn - If set rue writes column indexes to the file
• sep - Is the data seperator

from_csv(string path, int indexDepth = 1, int columnDepth = 1, char sep = ',') (Experimental)

Parsing of CSV file into a DataFrame

• indexDepth - How many columns from left do row index span
• columnDepth - How many rows from top column index span
• sep - Data Seperator