Python canvas.Canvas方法代码示例

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def __init__(self, text=[], target='your website', pdfName='Report.pdf'):
        self.__target = target
        self.__pdfName = self.__path + pdfName
        self.__text = text
        if not os.path.exists('result/'):
            os.mkdir(r'result/')
        time = datetime.datetime.today()
        date = time.strftime("%h-%d-%Y %H:%M:%S")
        c = canvas.Canvas(self.__pdfName)
        c.setPageSize((16 * inch,22 * inch))
        textobj = c.beginText()
        textobj.setTextOrigin(inch, 20 * inch)
        textobj.textLines('''
            This is the scanning report of %s.
            ''' %self.__target)
        textobj.textLines('''
            Date: %s
            ''' % date)
        for line in self.__text:
            textobj.textLine(line.strip())
        c.drawText(textobj)
        c.showPage()
        c.save() 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def build(self,flowables,onFirstPage=_doNothing, onLaterPages=_doNothing, canvasmaker=canvas.Canvas):
        """build the document using the flowables.  Annotate the first page using the onFirstPage
               function and later pages using the onLaterPages function.  The onXXX pages should follow
               the signature

                  def myOnFirstPage(canvas, document):
                      # do annotations and modify the document
                      ...

               The functions can do things like draw logos, page numbers,
               footers, etcetera. They can use external variables to vary
               the look (for example providing page numbering or section names).
        """
        self._calc()    #in case we changed margins sizes etc
        frameT = Frame(self.leftMargin, self.bottomMargin, self.width, self.height, id='normal')
        self.addPageTemplates([PageTemplate(id='First',frames=frameT, onPage=onFirstPage,pagesize=self.pagesize),
                        PageTemplate(id='Later',frames=frameT, onPage=onLaterPages,pagesize=self.pagesize)])
        if onFirstPage is _doNothing and hasattr(self,'onFirstPage'):
            self.pageTemplates[0].beforeDrawPage = self.onFirstPage
        if onLaterPages is _doNothing and hasattr(self,'onLaterPages'):
            self.pageTemplates[1].beforeDrawPage = self.onLaterPages
        BaseDocTemplate.build(self,flowables, canvasmaker=canvasmaker) 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def makeBarcodeFile (brc, width, height):
	brc = str(brc)
	width = float(width) * mm
	height = float(height) * mm
	# generate a canvas (A4 in this case, size doesn"t really matter)
	c=canvas.Canvas(brc+".pdf",pagesize=A4)
	# create a barcode object
	# (is not displayed yet)
	# The encode text is "123456789"
	# barHeight encodes how high the bars will be
	# barWidth encodes how wide the "narrowest" barcode unit is
	barcode=code39.Extended39(brc, barWidth=width*mm, barHeight=height*mm)
	# drawOn puts the barcode on the canvas at the specified coordinates
	
	x, y = (10*mm, 10*mm)
	while y + barcode.height < 290*mm:
		while x + barcode.width < 200*mm:
			barcode.drawOn(c, x, y)
			x = x + (1 + barcode.width)
		x = 10*mm
		y = y + (1 + barcode.height)*mm 

	# now create the actual PDF
	c.showPage()
	c.save() 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def __init__(self, display_form, letter_display=None, canvas=None):
        self.file = io.BytesIO()
        self.width, self.height = letter
        self.canvas = canvas
        if not canvas:
            self.canvas = Canvas(
                self.file,
                pagesize=letter)
            self.canvas.setAuthor('Clear My Record, Code for America')
        self.frame = Margin(
            u('1in'),
            u('.75in'),
            u('1in'),
            u('.75in'))
        self.form = display_form
        self.letter = letter_display
        self.cursor = Position(
            self.frame.left,
            self.height - self.frame.top
        )
        self.nice_date = \
            self.form.date_received.get_current_value().strftime("%B %-d, %Y") 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def plot_6_plus(bases, output_path, project, c_draw):
	for i in range(0,5):
		c_draw.drawImage(output_path+"/SBS_sub_plots/"+bases[i][0] + "_" + project+".png", \
			LAYOUT_5_GRAPH[i][X_COORD], LAYOUT_5_GRAPH[i][Y_COORD], width=WIDTH_GRAPH, height=HEIGHT_GRAPH)
		c_draw.drawString(LAYOUT_5_TEXT[i][X_COORD], LAYOUT_5_TEXT[i][Y_COORD], str(bases[i][1]) + "%")

	extra_sigs = "* "
	for i in range(5, len(bases)-1):
		extra_sigs += str(bases[i][0]) + " (" + str(bases[i][1]) + "%), "

	extra_sigs += bases[len(bases)-1][0] + " (" + str(bases[len(bases)-1][1]) + "%)"
	c_draw.drawString(GRAPH_X_COORD, (TEXT_Y_COORD - HEIGHT_GRAPH * 6) - 10, extra_sigs)

# Helper function to add calculations to layout
# Parameters:
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
#	statistics 	- (Pandas Dataframe) Dataframe w/ calculations 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def draw_statistics(c_draw, statistics):
	cos_sim = statistics["Cosine Similarity"][0]
	cor_coeff = statistics["Correlation Coefficient"][0]
	l1_norm_percent = statistics["L1 Norm %"][0]
	l2_norm_percent = statistics["L2 Norm %"][0]
	kl_divergence = statistics["KL Divergence"][0]


	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-90, \
		"Cosine Similarity: " + str(cos_sim))
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-100, \
		"Correlation: " + str(cor_coeff))
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-110, \
		"L1 Error %: " + str(l1_norm_percent) + "%")
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-120, \
		"L2 Error %: " + str(l2_norm_percent) + "%")
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-130, \
		"KL Divergence: " + str(kl_divergence))

# Helper function to resize bracket depending on number of bases plotted
# Parameters:
#	num_bases 	- (Integer) The number of bases to be plotted.
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on. 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def draw_bracket(num_bases, c_draw):
    paths = cosmic.__path__[0]
    
    num_plts = num_bases - 1
    
    if(num_bases >= 5):
        num_plts = 4
        
    c_draw.drawImage(paths+"/src/Accolade_fermante.png", MID_WIDTH_LETTER - 15, BRACKET_SIZES[num_plts][0], width = 20, height = BRACKET_SIZES[num_plts][1], mask='auto')


# Parameters:
#   de_novo_name 	- (String) The name of the denovo signature.
#   basis_names		- (List of Strings) The names of the basis signatures
#	output_path 	- (String)	Path to where to save the output.
#	project			- (String)	The project name that is appended to file names.
#	c				- (Canvas)	The canvas that is being drawn on.
#	reconstruction	- (Boolean) True to create reconstruction
#	statistics		- (Pandas Dataframe) If reconstructing, then include statistics.
# Output:
#   A graph of the de_novo signature's decomposition. 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def gen_decomposition(denovo_name, basis_names, weights, output_path, project, reconstruction, statistics):

	c = canvas.Canvas(output_path+"/"+denovo_name+"_decomposition_"+project+".pdf", pagesize=letter)
	c.setPageSize(landscape(letter))
	c.setFont("Arial-Bold", 7.19)

	basis_plots = []
	for i in range(0,len(basis_names)):
		basis_plots.append([basis_names[i], weights[i]])


	# create for loop to iterate through list, then change second value in list of lists
	# Otherwise sorts strings and then 5.14% > 48.54%
	for j in range(0, len(basis_names)):
		basis_plots[j][1] = float(basis_plots[j][1].strip("%"))
	sorted_list = sorted(basis_plots, key=lambda tup: tup[1], reverse=True)

	gen_plot(denovo_name, sorted_list, output_path, project, c, reconstruction, statistics)

	c.save() 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def plot_6_plus(bases, output_path, project, c_draw):
	for i in range(0,5):
		c_draw.drawImage(output_path+"/ID_sub_plots/"+bases[i][0] + "_" + project+".png", LAYOUT_5_GRAPH[i][X_COORD], LAYOUT_5_GRAPH[i][Y_COORD], width=WIDTH_GRAPH, height=HEIGHT_GRAPH)
		c_draw.drawString(LAYOUT_5_TEXT[i][X_COORD], LAYOUT_5_TEXT[i][Y_COORD], str(bases[i][1]) + "%")

	extra_sigs = "* "
	for i in range(5, len(bases)-1):
		extra_sigs += str(bases[i][0]) + " (" + str(bases[i][1]) + "%), "

	extra_sigs += bases[len(bases)-1][0] + " (" + str(bases[len(bases)-1][1]) + "%)"
	c_draw.drawString(GRAPH_X_COORD, (TEXT_Y_COORD - HEIGHT_GRAPH * 6) + 30, extra_sigs)

# Helper function to add calculations to layout
# Parameters:
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
#	statistics 	- (Pandas Dataframe) Dataframe w/ calculations 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def draw_bracket(num_bases, c_draw):
    paths = cosmic.__path__[0]
    num_plts = num_bases - 1
    if(num_bases >= 5):
        num_plts = 4
    c_draw.drawImage(paths+"/src/Accolade_fermante.png", MID_WIDTH_LETTER - 15, BRACKET_SIZES[num_plts][0], width = 15, height = BRACKET_SIZES[num_plts][1], mask='auto')

# Parameters:
#   de_novo_name 	- (String) The name of the denovo signature.
#   basis_names		- (List of Strings) The names of the basis signatures
#	output_path 	- (String)	Path to where to save the output.
#	project			- (String)	The project name that is appended to file names.
#	c				- (Canvas)	The canvas that is being drawn on.
#	reconstruction	- (Boolean) True to create reconstruction
#	statistics		- (Pandas Dataframe) If reconstructing, then include statistics.
# Output:
#   A graph of the de_novo signature's decomposition. 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def gen_decomposition(denovo_name, basis_names, weights, output_path, project, reconstruction, statistics):
	# Note: 0th index contains the title of the column
	c = canvas.Canvas(output_path+"/"+denovo_name+"_decomposition_"+project+".pdf", pagesize=letter)
	c.setPageSize(landscape(letter))
	c.setFont("Arial-Bold", 7.19)

	basis_plots = []
	for i in range(0,len(basis_names)):
		basis_plots.append([basis_names[i], weights[i]])


	# create for loop to iterate through list, then change second value in list of lists
	# Otherwise sorts strings and then 5.14% > 48.54%
	for j in range(0, len(basis_names)):
		basis_plots[j][1] = float(basis_plots[j][1].strip("%"))
	sorted_list = sorted(basis_plots, key=lambda tup: tup[1], reverse=True)

	gen_plot(denovo_name, sorted_list, output_path, project, c, reconstruction, statistics)

	c.save() 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def plot_6_plus(bases, output_path, project, c_draw):
	for i in range(0,5):
		c_draw.drawImage(output_path+"/DBS_sub_plots/"+bases[i][0] + "_" + project+".png", \
			LAYOUT_5_GRAPH[i][X_COORD], LAYOUT_5_GRAPH[i][Y_COORD], width=WIDTH_GRAPH, height=HEIGHT_GRAPH)
		c_draw.drawString(LAYOUT_5_TEXT[i][X_COORD], LAYOUT_5_TEXT[i][Y_COORD], str(bases[i][1]) + "%")

	extra_sigs = "* "
	for i in range(5, len(bases)-1):
		extra_sigs += str(bases[i][0]) + " (" + str(bases[i][1]) + "%), "

	extra_sigs += bases[len(bases)-1][0] + " (" + str(bases[len(bases)-1][1]) + "%)"
	c_draw.drawString(GRAPH_X_COORD, (TEXT_Y_COORD - HEIGHT_GRAPH * 6) - 10, extra_sigs)

# Helper function to add calculations to layout
# Parameters:
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
#	statistics 	- (Pandas Dataframe) Dataframe w/ calculations 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def draw_bracket(num_bases, c_draw):
    paths = cosmic.__path__[0]
    
    num_plts = num_bases - 1
    if(num_bases>= 5):
        
        num_plts = 4
    c_draw.drawImage(paths+"/src/Accolade_fermante.png", MID_WIDTH_LETTER - 15, \
                         BRACKET_SIZES[num_plts][0], width = 20, height = BRACKET_SIZES[num_plts][1], mask='auto')

# Parameters:
#   de_novo_name 	- (String) The name of the denovo signature.
#   basis_names		- (List of Strings) The names of the basis signatures
#	output_path 	- (String)	Path to where to save the output.
#	project			- (String)	The project name that is appended to file names.
#	c				- (Canvas)	The canvas that is being drawn on.
#	reconstruction	- (Boolean) True to create reconstruction
#	statistics		- (Pandas Dataframe) If reconstructing, then include statistics.
# Output:
#   A graph of the de_novo signature's decomposition. 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def draw_bracket(num_bases, c_draw):
	num_plts = num_bases - 1
	if(num_bases >= 5):
		num_plts = 4

	c_draw.drawImage(paths+"src/Accolade_fermante.png", MID_WIDTH_LETTER - 15, \
		BRACKET_SIZES[num_plts][0], width = 20, height = BRACKET_SIZES[num_plts][1], \
		mask='auto')

# Parameters:
#   de_novo_name 	- (String) The name of the denovo signature.
#   basis_names		- (List of Strings) The names of the basis signatures
#	output_path 	- (String)	Path to where to save the output.
#	project			- (String)	The project name that is appended to file names.
#	c				- (Canvas)	The canvas that is being drawn on.
#	reconstruction	- (Boolean) True to create reconstruction
#	statistics		- (Pandas Dataframe) If reconstructing, then include statistics.
# Output:
#   A graph of the de_novo signature's decomposition. 

# 需要导入模块: from reportlab.pdfgen import canvas [as 别名]
# 或者: from reportlab.pdfgen.canvas import Canvas [as 别名]
def gen_decomposition(denovo_name, basis_names, weights, output_path, project, reconstruction, statistics):
	# Note: 0th index contains the title of the column
	c = canvas.Canvas(output_path+"/"+denovo_name+"_decomposition_"+project+".pdf", pagesize=letter)
	c.setPageSize(landscape(letter))
	c.setFont("Arial-Bold", 7.19)

	basis_plots = []
	for i in range(0,len(basis_names)):
		basis_plots.append([basis_names[i], weights[i]])

	# create for loop to iterate through list, then change second value in list of lists
	# Otherwise sorts strings and then 5.14% > 48.54%
	for j in range(0, len(basis_names)):
		basis_plots[j][1] = float(basis_plots[j][1].strip("%"))
	sorted_list = sorted(basis_plots, key=lambda tup: tup[1], reverse=True)

	gen_plot(denovo_name, sorted_list, output_path, project, c, reconstruction, statistics)

	c.save()