from lib.util import tsv_get_column_index
from run import get_matrix_dimensions
import os
import math
from lib.util import make_sure_path_exists
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
config.sink_dir = '%s/sink' % os.path.dirname(__file__)
config.axis_x = {'name': r'$H$', 'column': 'config_count_hubs'}
config.axis_y = {'name': r'$s$', 'column': 'config_etah_slack'}
config.output_nx, config.output_ny = get_matrix_dimensions()
config.interesting_z_axes = [{
'name': 'Average Formation Size',
'column': 'avg_formation_size'
}]
def run():
data_file = '%s/latest.tsv' % config.sink_dir
data = np.loadtxt(open(data_file, 'rb'), delimiter="\t", skiprows=1)
axis_x = config.axis_x
axis_y = config.axis_y
from ..multivariate import plot
from run import get_matrix_dimensions
import config, os
config.sink_dir = '%s/sink' % os.path.dirname(__file__)
config.axis_x = {
'name' : r'$H$',
'column' : 'config_count_hubs'
}
config.axis_y = {
'name' : r'$s$',
'column' : 'config_etah_slack'
}
config.output_nx, config.output_ny = get_matrix_dimensions()
def run():
plot.run()