comparison viz_graphs.py @ 8:edec16f9566a draft

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author glogobyte
date Fri, 16 Oct 2020 18:16:06 +0000
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7:2c5723e2421a 8:edec16f9566a
1 import sys
2 def pdf_before_DE(analysis):
3
4 # Import FPDF class
5 from fpdf import FPDF, fpdf
6
7 # Import glob module to find all the files matching a pattern
8 import glob
9
10 # Image extensions
11 if analysis=="2":
12 image_extensions = ("c_hist_red.png","t_hist_red.png","pie_non.png","spider_red.png","spider_non_red.png","c_logo.png","t_logo.png","c_bar.png","t_bar.png")
13 else:
14 image_extensions = ("c_hist_red.png","t_hist_red.png","pie_tem.png","spider_red.png","spider_non_red.png")
15 # This list will hold the images file names
16 images = []
17
18 # Build the image list by merging the glob results (a list of files)
19 # for each extension. We are taking images from current folder.
20 for extension in image_extensions:
21 images.extend(glob.glob(extension))
22 #sys.exit(images)
23 # Create instance of FPDF class
24 pdf = FPDF('P', 'in', 'A4')
25 # Add new page. Without this you cannot create the document.
26 pdf.add_page()
27 # Set font to Arial, 'B'old, 16 pts
28 pdf.set_font('Arial', 'B', 20.0)
29
30 # Page header
31 pdf.cell(pdf.w-0.5, 0.5, 'IsomiR Profile Report',align='C')
32 pdf.ln(0.7)
33 pdf.set_font('Arial','', 16.0)
34 pdf.cell(pdf.w-0.5, 0.5, 'sRNA Length Distribution',align='C')
35
36 # Smaller font for image captions
37 pdf.set_font('Arial', '', 11.0)
38
39 # Image caption
40 pdf.ln(0.5)
41
42 yh=FPDF.get_y(pdf)
43 pdf.image(images[0],x=0.3,w=4, h=3)
44 pdf.image(images[1],x=4,y=yh, w=4, h=3)
45 pdf.ln(0.3)
46
47 # Image caption
48 pdf.cell(0.2)
49 pdf.cell(3.0, 0.0, " Mapped and unmapped reads to custom precussor arm reference DB (5p and 3p arms) in Control (left)")
50 pdf.ln(0.2)
51 pdf.cell(0.2)
52 pdf.cell(3.0, 0.0, " and Treated (right) groups")
53
54
55 pdf.ln(0.5)
56 h1=FPDF.get_y(pdf)
57 pdf.image(images[2],x=1, w=6.5, h=5)
58 h2=FPDF.get_y(pdf)
59 FPDF.set_y(pdf,h1+0.2)
60 pdf.set_font('Arial','', 14.0)
61 pdf.cell(pdf.w-0.5, 0.5, 'Template and non-template IsomiRs',align='C')
62 pdf.set_font('Arial', '', 11.0)
63 FPDF.set_y(pdf,h2)
64 FPDF.set_y(pdf,9.5)
65 # Image caption
66 pdf.cell(0.2)
67 if analysis=="2":
68 pdf.cell(3.0, 0.0, " Template, non-template, miRNA reference and unmapped sequences as percentage of total sRNA")
69 else:
70 pdf.cell(3.0, 0.0, " Template, miRNA reference and unmapped sequences as percentage of total sRNA")
71 pdf.ln(0.2)
72 pdf.cell(0.2)
73 pdf.cell(3.0, 0.0, " reads in Control (left) and treated (right) groups")
74
75
76
77 pdf.add_page()
78 pdf.set_font('Arial', 'B', 16.0)
79 pdf.cell(pdf.w-0.5, 0.5, "Reference form and isomiR among total miRNA reads",align='C')
80 pdf.ln(0.7)
81 pdf.set_font('Arial', 'B', 12.0)
82 pdf.cell(pdf.w-0.5, 0.5, "Template isomiR profile (redundant)",align='C')
83 pdf.ln(0.5)
84 pdf.image(images[3],x=1.5, w=5.5, h=4)
85 pdf.ln(0.6)
86 pdf.cell(pdf.w-0.5, 0.0, "Template isomiR profile (non-redundant)",align='C')
87 pdf.set_font('Arial', '', 12.0)
88 pdf.ln(0.2)
89 pdf.image(images[4],x=1.5, w=5.5, h=4)
90 pdf.ln(0.3)
91 pdf.set_font('Arial', '', 11.0)
92 pdf.cell(0.2)
93 pdf.cell(3.0, 0.0, " * IsomiRs potentialy initiated from multiple loci")
94
95
96 if analysis=="2":
97 pdf.add_page('L')
98
99 pdf.set_font('Arial', 'B', 16.0)
100 pdf.cell(pdf.w-0.5, 0.5, "Non-template IsomiRs",align='C')
101 pdf.ln(0.5)
102 pdf.set_font('Arial', 'B', 12.0)
103 pdf.cell(pdf.w-0.5, 0.5, "3' Additions of reference of isomiR sequence",align='C')
104 pdf.ln(0.7)
105
106 yh=FPDF.get_y(pdf)
107 pdf.image(images[5],x=1.5,w=3.65, h=2.65)
108 pdf.image(images[7],x=6.5,y=yh, w=3.65, h=2.65)
109 pdf.ln(0.5)
110 yh=FPDF.get_y(pdf)
111 pdf.image(images[6],x=1.5,w=3.65, h=2.65)
112 pdf.image(images[8],x=6.5,y=yh, w=3.65, h=2.65)
113
114 pdf.close()
115 pdf.output('report1.pdf','F')
116
117
118
119
120 #############################################################################################################################################################3
121
122 def pdf_after_DE(analysis,top):
123
124 # Import FPDF class
125 from fpdf import FPDF
126
127 # Import glob module to find all the files matching a pattern
128 import glob
129
130 # Image extensions
131 if analysis=="2":
132 image_extensions = ("tem.png","a2.png","non.png")
133 else:
134 image_extensions = ("tem.png","a2.png")
135
136 # This list will hold the images file names
137 images = []
138
139 # Build the image list by merging the glob results (a list of files)
140 # for each extension. We are taking images from current folder.
141 for extension in image_extensions:
142 images.extend(glob.glob(extension))
143 #sys.exit(images)
144 # Create instance of FPDF class
145 pdf = FPDF('P', 'in', 'letter')
146 # Add new page. Without this you cannot create the document.
147 pdf.add_page()
148 # Set font to Arial, 'B'old, 16 pts
149 pdf.set_font('Arial', 'B', 16.0)
150
151 # Page header
152 pdf.cell(pdf.w-0.5, 0.5, 'Differential expression of miRNAs and Isoforms',align='C')
153 #pdf.ln(0.25)
154
155 pdf.ln(0.7)
156 pdf.set_font('Arial','B', 12.0)
157 if "tem.png" in images:
158 pdf.cell(pdf.w-0.5, 0.5, 'Top '+top+' most differentially expressed miRNA and template isoforms',align='C')
159 # Smaller font for image captions
160 pdf.set_font('Arial', '', 10.0)
161 # Image caption
162 pdf.ln(0.4)
163 pdf.image(images[images.index("tem.png")],x=0.8, w=7, h=8)
164 pdf.ln(0.3)
165 pdf.set_font('Arial','B', 12.0)
166 else:
167 print("WARNING: There aren't miRNAs which fullfiled these criteria" )
168
169 if "non.png" in images and analysis=="2":
170 if "tem.png" in images: pdf.add_page()
171 pdf.ln(0.7)
172 pdf.cell(pdf.w-0.5, 0.5, 'Top '+top+' most differentially expressed non-template isomiRs',align='C')
173 pdf.ln(0.4)
174 pdf.image(images[images.index("non.png")],x=0.5, w=7.5, h=6.5)
175 else:
176 print("WARNING: There aren't non-template miRNAs which fullfiled these criteria" )
177
178
179 if "a2.png" in images:
180 if len(images)>=2: pdf.add_page()
181 pdf.ln(0.5)
182 pdf.cell(pdf.w-0.5, 0.5, 'Top '+top+' most differentially expressed miRNAs and isomiRs grouped by arm',align='C')
183 pdf.ln(0.4)
184 pdf.image(images[images.index("a2.png")],x=0.8, w=7, h=8)
185 pdf.ln(0.3)
186 else:
187 print("WARNING: There aren't non-template miRNAs which fullfiled these criteria" )
188
189
190 pdf.output('report2.pdf', 'F')
191
192
193