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GeezerVison is showing github.com — plotter/heatmapplot.py at master · milladgit/plotter

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heatmapplot.py

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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 *
# Help from this URL:
# https://matplotlib.org/gallery/images_contours_and_fields/image_annotated_heatmap.html
# For all colormaps in the matplotlib, please refer to this link:
# https://matplotlib.org/tutorials/colors/colormaps.html
class HeatmapPlot(Configuration):
def __init__(self, filename):
Configuration.__init__(self, filename)
self.datatype = "float"
self.column_names = []
self.row_names = []
self.values = []
self.colormap = "plasma"
self.colorbar_label = ""
self.show_values_in_box = "off"
self.show_values_in_box_font = "8"
self.square_boxes = "on" # for aspect ration of boxes
self.load_config_file()
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 == "datatype":
self.datatype = v
elif k == "square_boxes":
self.square_boxes = v
elif k == "colormap":
self.colormap = v
elif k == "colorbar_label":
self.colorbar_label = v
elif k == "show_values_in_box":
self.show_values_in_box = v
elif "data" in k:
# row_count = v.split(":")
# if len(row_count) != 1:
# print "Please provide number of rows as following: 'data: <row_count>'"
# exit(1)
# row_count = int(row_count[0])
col = lines[i].strip().split(":")
i += 1
if col[0] != "columns":
print "Please provide the columns name."
exit(1)
col = col[1].split(",")
self.column_names = [c.strip() for c in col]
while i < lines_count:
l = lines[i].strip()
if l == "":
i += 1
continue
if l[0] == "#":
i += 1
continue
l = l.split(":")
self.row_names.append(l[0].strip())
values = l[1].split(",")
if self.datatype == "float":
values = [float(v) for v in values]
elif self.datatype == "int":
values = [int(v) for v in values]
self.values.append(values)
i += 1
i += 1
def draw(self, ax):
hmap = np.array(self.values)
# hmap = self.values
aspect = "equal"
if self.square_boxes == "off":
aspect = "auto"
im = ax.imshow(hmap, self.colormap, aspect=aspect)
# im = ax.pcolor(hmap,cmap=self.colormap)
# Create colorbar
cbar = ax.figure.colorbar(im, ax=ax)
if self.colorbar_label != "":
cbar.ax.set_ylabel(self.colorbar_label, rotation=-90, va="bottom")
ax.set_xticks(np.arange(len(self.column_names)))
ax.set_yticks(np.arange(len(self.row_names)))
# Setting the labels and locations of ticks on x and y manually
# n = len(self.column_names)
# ax.set_xticks(np.linspace(.5,1.7,4))
# n = len(self.row_names)
# ax.set_yticks(np.linspace(.5,n*0.4+0.5,n))
ax.set_xticklabels(self.column_names, fontsize=self.xticks_label_fontsize)
ax.set_yticklabels(self.row_names, fontsize=self.yticks_label_fontsize)
if self.xticks_rotation != "":
plt.setp(ax.get_xticklabels(), rotation=float(self.xticks_rotation), ha="right", rotation_mode="anchor")
# Let the horizontal axes labeling appear on top.
# ax.tick_params(top=True, bottom=False, labeltop=True, labelbottom=False)
if self.show_values_in_box == "on":
for i in range(len(self.row_names)):
for j in range(len(self.column_names)):
text = ax.text(j, i, hmap[i, j], ha="center", va="center", color="w", fontsize=self.show_values_in_box_font)
# ax.tick_params(which="minor", bottom=False, left=False)
# ax.grid(which="minor", color="w", linestyle='-', linewidth=3)
super(HeatmapPlot, self).draw(ax)
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