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8
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1 # Import FPDF class
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9
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2 from fpdf import FPDF
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8
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3
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4 # Import glob module to find all the files matching a pattern
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9
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5 import glob
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8
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6
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7 #############################################################################################################################################################3
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8
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9 def pdf_after_DE(analysis,top,font_path,iso_star_fl,non_star_fl):
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10
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11 # Image extensions
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12 if analysis=="2":
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13 image_extensions = ("tem.png","a2.png","non.png")
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14 else:
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15 image_extensions = ("tem.png","a2.png")
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16
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17 # This list will hold the images file names
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18 images = []
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19
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20 # Build the image list by merging the glob results (a list of files)
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21 # for each extension. We are taking images from current folder.
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22 for extension in image_extensions:
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23 images.extend(glob.glob(extension))
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24
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25 # Create instance of FPDF class
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26 pdf = FPDF('P', 'in', 'letter')
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27 pdf.add_font('uni-arial', '', font_path+"/arial-unicode-ms.ttf", uni=True)
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28 # Add new page. Without this you cannot create the document.
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29 pdf.add_page()
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30 # Set font to Arial, 'B'old, 16 pts
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31 pdf.set_font('Arial', 'B', 16.0)
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32
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33 # Page header
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34 pdf.cell(pdf.w-0.5, 0.5, 'Differential expression of miRNAs and isomiRs',align='C')
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35 #pdf.ln(0.25)
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36
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37 pdf.ln(0.7)
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38 pdf.set_font('Arial','B', 12.0)
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39 if "tem.png" in images:
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40 pdf.cell(pdf.w-0.5, 0.5, 'Top '+top+' differentially expressed miRNA and templated isoforms',align='C')
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41 # Smaller font for image captions
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42 pdf.set_font('Arial', '', 10.0)
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43 # Image caption
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44 pdf.ln(0.4)
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45 pdf.image(images[images.index("tem.png")],x=0.8, w=7, h=8)
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46 pdf.ln(0.3)
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47 if iso_star_fl==1:
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48 pdf.set_font('uni-arial', '', 9.0)
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49 pdf.cell(0.2)
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50 pdf.cell(3.0, 0.0, " ★ IsomiRs potentially generated from multiple loci")
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51 #pdf.set_font('Arial','B', 12.0)
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52 else:
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53 print("WARNING: There aren't miRNAs which fullfiled these criteria" )
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54 pdf.set_font('Arial','B', 12.0)
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55 if "non.png" in images and analysis=="2":
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56 if "tem.png" in images: pdf.add_page()
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57 pdf.ln(0.7)
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58 pdf.cell(pdf.w-0.5, 0.5, 'Top '+top+' differentially expressed non-templated isomiRs',align='C')
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59 pdf.ln(0.4)
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60 pdf.image(images[images.index("non.png")],x=0.8, w=7, h=8)
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61 pdf.ln(0.3)
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62 if non_star_fl==1:
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63 pdf.set_font('uni-arial', '', 9.0)
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64 pdf.cell(0.2)
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65 pdf.cell(3.0, 0.0, " ★ IsomiRs potentially generated from multiple loci")
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66
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67 #pdf.image(images[images.index("non.png")],x=0.5, w=7.5, h=6.5)
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68 else:
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69 print("WARNING: There aren't non-template miRNAs which fullfiled these criteria" )
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70
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71 pdf.set_font('Arial','B', 12.0)
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72 if "a2.png" in images:
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73 if len(images)>=2: pdf.add_page()
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74 pdf.ln(0.5)
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10
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75 pdf.cell(pdf.w-0.5, 0.5, 'Top differentially expressed miRNAs and isomiRs grouped by arm',align='C')
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8
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76 pdf.ln(0.4)
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77 pdf.image(images[images.index("a2.png")],x=0.8, w=7, h=8)
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78 pdf.ln(0.3)
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79 else:
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80 print("WARNING: There aren't non-template miRNAs which fullfiled these criteria" )
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81
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82
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83 pdf.output('report2.pdf', 'F')
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84
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85
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86
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