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import os, sys

import numpy as np

import matplotlib.pyplot as plt

from figure import *

from configuration import *

from utils import *

class BarPlot(Configuration):

def __init__(self, filename):

Configuration.__init__(self, filename)

self.put_label_on_top = "off"

self.datatype = "float"

self.bar_count = 0

self.data_dict = dict()

self.data_indexes = []

self.index_begin = 0.0

self.index_step = 0.1

self.load_config_file()

def index_generator(self, begin, step, count):

return np.arange(begin, begin + step * count, step)

def load_config_file(self):

if self.lines == None:

return

lines = self.lines

i = 0

lines_count = len(lines)

while i < lines_count:

l = lines[i].strip()

if l == "":

i += 1

continue

if l[0] == "#":

i += 1

continue

l = l.split(":")

i += 1

k = l[0]

v = l[1]

k = k.strip()

v = v.strip()

if k == "put_label_on_top":

self.put_label_on_top = v

elif k == "datatype":

self.datatype = v

elif k == "bar_count":

self.bar_count = int(v)

elif k == "index_begin":

self.index_begin = isfloat(v)

elif k == "index_step":

self.index_step = isfloat(v)

elif "data_" in k:

index = int(k.split("_")[1])

data_list = v.split(",")

data_list = [q.strip() for q in data_list]

if self.datatype == "float":

data_list = [float(q) for q in data_list]

elif self.datatype == "int":

data_list = [int(q) for q in data_list]

self.data_dict[index] = data_list

elif "datatable" in k:

column_count = int(v)

while i < lines_count:

l = lines[i].strip()

if l == "":

i += 1

continue

if l[0] == "#":

i += 1

continue

l = l.split(";")

self.xticks_label.append(l[0].strip())

for _v in range(column_count):

if _v not in self.data_dict:

self.data_dict[_v] = []

val = l[_v+1].strip()

if self.datatype == "float":

val = float(val)

elif self.datatype == "int":

val = int(val)

self.data_dict[_v].append(val)

i += 1

i += 1

def autolabel(self, ax, rects, xpos='center'):

"""

Attach a text label above each bar in *rects*, displaying its height.

*xpos* indicates which side to place the text w.r.t. the center of

the bar. It can be one of the following {'center', 'right', 'left'}.

"""

xpos = xpos.lower() # normalize the case of the parameter

ha = {'center': 'center', 'right': 'left', 'left': 'right'}

offset = {'center': 0.5, 'right': 0.57, 'left': 0.43} # x_txt = x + w*off

for rect in rects:

height = rect.get_height()

ax.text(rect.get_x() + rect.get_width()*offset[xpos], 1.01*height,

'{}'.format(height), ha=ha[xpos], va='bottom')

def draw(self, ax):

C = self

ind = self.index_generator(self.index_begin, self.index_step, len(self.data_dict[0]))

width = C.width # the width of the bars

rects_list = list()

for index in range(C.bar_count):

disposition = -width*C.bar_count/2.0 + index*width + width/2.0

lbl = C.labels[index]

if len(C.colors) > 0:

rect = ax.bar(ind + disposition, C.data_dict[index], width, color=C.colors[index], label=lbl)

else:

rect = ax.bar(ind + disposition, C.data_dict[index], width, label=C.labels[index])

rects_list.append(rect)

ax.set_xticks(ind)

_ha = "right"

if C.xticks_rotation in [0, 90]:

_ha = "center"

ax.set_xticklabels(C.xticks_label, rotation=C.xticks_rotation, ha=_ha)

if C.put_label_on_top == "on":

for r in rects_list:

self.autolabel(ax, r, "left")

# autolabel(rects2, "right")

super(BarPlot, self).draw(ax)