hiper | 🚀 A statistical analysis tool for performance testing | Performance Testing library
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kandi X-RAY | hiper Summary
The name is short for Hi performance Or High performance.
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QUESTION
I have been trying with some matplotlib functions, but it does not come out, I tried with the one of plt.hlines and plt.vlines to put them but it did not work for me.
This is my code, I need my grid to move between the blue lines.
ANSWER
Answered 2021-Jan-15 at 17:51You can create a polygon by combining the curves from xprima
and ctprima
. To create a closed polygon, one of the curves need to be reversed. The x-values for xprima
are xt
, while for ctprima
they are ct
. So, the x-values for the polygon are np.append(xt, ct[::-1])
and similar for the y-values. To create the polygon, Polygon
needs the xy positions as an Nx2
array which can be created using np.vstack
and transposing (.T
).
This polygon can be either used to clip the gridlines, or could just be used to be "hatched" without the need for the gridlines.
The gridlines can be created via for-loops: [plt.axvline(x=i, ymin=0.5, ymax=0.9) for i in range(1, 9)]
. If the result is stored in an array, it can be used to call .set_clip_path(polygon)
on them.
QUESTION
I just used Google Vision API to convert a pdf receipt to a txt file. Now I would like to extract 4 specific fields and save those in a new txt file.
I highlighted 2 examples of the items I woul like to extract
yellow: product ID ;green: quantity ;blue: unit price ;Red: product description
Here is a piece of the text file:
['Waiting for the operation to finish.\n', 'Output files:\n', 'receipts/factura_lider.txtoutput-1-to-1.json\n', 'Full text:\n', '\n', 'ADMIN. DE SUPERMERCADOS HIPER\n', 'LIMITADA\n', '76.134.941-4\n', 'Hiper\n', 'LIDER\n', 'GRANDES ESTABLECIMIENTOS-VENTA DE\n', 'ALIM.\n', 'BOLETA ELECTRÓNICA N° : 1680178292\n', 'LOCAL:\n', '0682\n', 'CAJA:\n', '020\n', 'CAJERO:\n', '163\n', 'FECHA EMISION:\n', '20-10-2020\n', 'HORA:\n', '09:07\n', 'TRAN. Nº:\n', '0018\n', 'CANT.\n', 'PRECIO UNIT.\n', 'DESC. ARTICULO\n', 'VALOR\n', '2.150\n', '4.511\n', '1.690\n', '5.990\n', '1.990\n', '1.190\n', '309\n', '2.490\n', '4.290\n', '2.650\n', '2.290\n', '4.500\n', '3.840\n', '1.416\n', 'CODIGO: 07803473002662\n', '1.0x 2.150 ID PAN BLA G\n', 'CODIGO: 02069600000009\n', '0.515x 8.759 PAVO PECHUGA\n', 'CODIGO: 00078742086811\n', '1.0X 1.690 MARGARIN REG\n', 'CODIGO: 07613036150521\n', '1.0X 5.990 BUEN DIA 1.1\n', 'CODIGO: 07804115001838\n', '1.0x 1.990 AZ-MOL TR PA\n', 'CODIGO: 07802920801704\n', '1.0 1.190 YOGHURT DAMA\n', 'CODIGO: 07804646490194\n', '1.0x 309 CILANTRO BOL\n', 'CODIGO: 00614143030932\n', '1.0x 2.490 FRUTOS BOS\n', 'CODIGO: 07804100103158\n', '1.0x 4.290 PACK HUEVO M\n', 'CODIGO: 07801930000 602\n', '1.0x 2.650 PANCETAPF\n', 'CODIGO: 07804152000283\n', '1.0x 2.290 NARANJA 1.5\n', 'CODIGO: 07805000183080\n', '1.0X 4.500 DET.LQ.DPLIR\n', 'CODIGO: 02164730000001\n', '2.415X 1.590 POLLO ENTERO\n', 'CODIGO: 02000140000005\n', '1.43% 990 PLATANO\n', 'CODIGO: 07804653341021\n', '1.0X 1.000 PHX6\n', 'CODIGO: 07802655002230\n', '1.0x 830 HARINA S/POL\n',
...ANSWER
Answered 2020-Oct-25 at 13:52import re
text = '''['Waiting for the operation to finish.\n', 'Output files:\n', 'receipts/factura_lider.txtoutput-1-to-1.json\n', 'Full text:\n', '\n', 'ADMIN. DE SUPERMERCADOS HIPER\n', 'LIMITADA\n', '76.134.941-4\n', 'Hiper\n', 'LIDER\n', 'GRANDES ESTABLECIMIENTOS-VENTA DE\n', 'ALIM.\n', 'BOLETA ELECTRÓNICA N° : 1680178292\n', 'LOCAL:\n', '0682\n', 'CAJA:\n', '020\n', 'CAJERO:\n', '163\n', 'FECHA EMISION:\n', '20-10-2020\n', 'HORA:\n', '09:07\n', 'TRAN. Nº:\n', '0018\n', 'CANT.\n', 'PRECIO UNIT.\n', 'DESC. ARTICULO\n', 'VALOR\n', '2.150\n', '4.511\n', '1.690\n', '5.990\n', '1.990\n', '1.190\n', '309\n', '2.490\n', '4.290\n', '2.650\n', '2.290\n', '4.500\n', '3.840\n', '1.416\n', 'CODIGO: 07803473002662\n', '1.0x 2.150 ID PAN BLA G\n', 'CODIGO: 02069600000009\n', '0.515x 8.759 PAVO PECHUGA\n', 'CODIGO: 00078742086811\n', '1.0X 1.690 MARGARIN REG\n', 'CODIGO: 07613036150521\n', '1.0X 5.990 BUEN DIA 1.1\n', 'CODIGO: 07804115001838\n', '1.0x 1.990 AZ-MOL TR PA\n', 'CODIGO: 07802920801704\n', '1.0 1.190 YOGHURT DAMA\n', 'CODIGO: 07804646490194\n', '1.0x 309 CILANTRO BOL\n', 'CODIGO: 00614143030932\n', '1.0x 2.490 FRUTOS BOS\n', 'CODIGO: 07804100103158\n', '1.0x 4.290 PACK HUEVO M\n', 'CODIGO: 07801930000 602\n', '1.0x 2.650 PANCETAPF\n', 'CODIGO: 07804152000283\n', '1.0x 2.290 NARANJA 1.5\n', 'CODIGO: 07805000183080\n', '1.0X 4.500 DET.LQ.DPLIR\n', 'CODIGO: 02164730000001\n', '2.415X 1.590 POLLO ENTERO\n', 'CODIGO: 02000140000005\n', '1.43% 990 PLATANO\n', 'CODIGO: 07804653341021\n', '1.0X 1.000 PHX6\n', 'CODIGO: 07802655002230\n', '1.0x 830 HARINA S/POL\n'
'''
Product = re.search('CODIGO:(.*?)\n\', \'(.*?)\n', text, re.DOTALL)
product_ID = Product.group(1)
q_up_pd_str = Product.group(2).split()
quantity = q_up_pd_str[0]
unit_price = q_up_pd_str[1]
product_description = ' '.join(q_up_pd_str[2:])
print(product_ID)
print(quantity)
print(unit_price)
print(product_description)
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