{"id":265,"date":"2016-03-07T14:31:58","date_gmt":"2016-03-07T13:31:58","guid":{"rendered":"http:\/\/www.analogflavor.com\/en\/?p=265"},"modified":"2023-02-22T13:04:04","modified_gmt":"2023-02-22T13:04:04","slug":"parse-spice-simulation-output-with-python","status":"publish","type":"post","link":"https:\/\/www.analogflavor.com\/en\/2016\/03\/07\/parse-spice-simulation-output-with-python\/","title":{"rendered":"Parse Spice Simulation Output With Python"},"content":{"rendered":"<p>Python modules like <strong><a href=\"https:\/\/pypi.python.org\/pypi\/pandas\">Pandas<\/a><\/strong>, <strong><a href=\"https:\/\/www.continuum.io\/\">Anaconda<\/a><\/strong> and <strong><a href=\"http:\/\/www.scipy.org\/\">SciPy<\/a><\/strong> offer great possibilities to work with large numerical data sets. These possibilities to manipulate numerical data can do a great job for analyzing Spice simulation results.<\/p>\n<p><strong><a href=\"https:\/\/www.analogflavor.com\/en\/bespice\/bespice-wave-parser\/\">BeSpice Wave Parser<\/a><\/strong>, our waveform parser library has been extended to a Python module with the complete functionality of the C\/C++ interface. This allows engineers to directly access and read the files generated by Spice simulators from Python. Many different binary and ASCII file formats such as <strong><a href=\"https:\/\/www.analogflavor.com\/en\/psf-parser\/\">PSF<\/a><\/strong>, <strong><a href=\"https:\/\/www.analogflavor.com\/en\/psfxl-parser\/\">PSFXL<\/a><\/strong>, &#8230; are supported. The files can be read and re-read while the simulation is still in progress. For binary files only the required data is read into memory.<\/p>\n<p><strong><a href=\"https:\/\/www.analogflavor.com\/en\/bespice\/bespice-wave-parser\/\">BeSpice Wave Parser<\/a><\/strong> also allows to export the parsed data to other file formats. Our Python modules are compatible to Python 2.7 and 3 and available on Linux and Windows. We provide a set of examples that presents the complete functionality.<\/p>\n<p><strong><a href=\"https:\/\/www.analogflavor.com\/en\/bespice\/bespice-wave-parser\/\">BeSpice Wave Parser<\/a><\/strong> is also available as <a href=\"https:\/\/www.analogflavor.com\/en\/parse-spice-simulation-output-with-matlab\/\"><strong>Matlab\/Octave toolbox<\/strong><\/a> or with a <a href=\"https:\/\/www.analogflavor.com\/en\/parse-spice-simulation-output-with-tcltk\/\"><strong>Tcl\/Tk<\/strong><\/a> wrapper.<\/p>\n<p>Use the below form to obtain a fully featured 2 months evaluation version.<\/p>\n<h1 class=\"entry-title\">Customer Benefits<\/h1>\n<ul>\n<li>one interface allows to read all supported waveform formats.<\/li>\n<li>fast integration due to a rich set of examples.<\/li>\n<li>migrating to or from C\/C+, Matlab, Octave or Tcl is easy.<\/li>\n<li>flexible <strong><a href=\"https:\/\/www.analogflavor.com\/en\/bespice\/licenses-and-prices\/\">licensing schemes<\/a><\/strong> for individual use, research, development and re-distribution.<\/li>\n<li>all licenses include full support.<\/li>\n<li>free 2 month evaluation version.<\/li>\n<\/ul>\n<h1 class=\"entry-title\">Key Features<\/h1>\n<ul>\n<li>available on Linux, Windows and OsX.<\/li>\n<li>fast and low memory footprint.<\/li>\n<li>many supported waveform formats. Check the fill list <a href=\"https:\/\/www.analogflavor.com\/en\/bespice\/bespice-wave\/\"><strong>here<\/strong><\/a> or send us an example file using the below form.<\/li>\n<li>includes a rich set of examples.<\/li>\n<li>also available with for C\/C++, <strong><a href=\"https:\/\/www.analogflavor.com\/en\/parse-spice-simulation-output-with-matlab\/\">Matlab\/Octave<\/a><\/strong> and <a href=\"https:\/\/www.analogflavor.com\/en\/parse-spice-simulation-output-with-tcltk\/\"><strong>Tcl\/Tk<\/strong><\/a> with similar API.<\/li>\n<li>services for extending the functionality or help with integration are possible.<\/li>\n<li>use our standalone viewer <a href=\"https:\/\/www.analogflavor.com\/en\/bespice\/bespice-wave\/\"><strong>BeSpice Wave<\/strong><\/a> to simplify the integration to your software.<\/li>\n<\/ul>\n<h1 class=\"entry-title\">Contact<\/h1>\n<p>We send you a free 2 months evaluation version on request. Don&#8217;t hesitate to attach an example file if you have questions concerning a particular file type. We might be able to give you some hints if you tell us more about your project.<\/p>\n<form method=\"post\" id=\"cntctfrm_contact_form\" class=\"cntctfrm_contact_form cntctfrm_one_column cntctfrm_ltr cntctfrm_width_default\" action=\"\/en\/wp-json\/wp\/v2\/posts\/265#cntctfrm_contact_form\" enctype=\"multipart\/form-data\"><div id=\"cntctfrm_first_column\" class=\"cntctfrm_column\"><div class=\"cntctfrm_field_wrap cntctfrm_field_name_wrap\"namecontact><div class=\"cntctfrm_label cntctfrm_label_name\">\n\t\t\t\t\t\t\t\t\t<label for=\"cntctfrm_contact_name\">Name: <span class=\"required\">*<\/span><\/label><\/div><div class=\"cntctfrm_input cntctfrm_input_name\">\n\t\t\t\t\t\t\t\t\t<input namecontact class=\"text\" type=\"text\" size=\"40\" pattern=\"^([\\p{L}\\p{M}]{2,}(\\s)*(\\p{L}+\\p{M}*-*){1,})|([\\p{L}\\p{M}]{3,})\" title=\"Please enter only letters at least 3 characters, words seperated by spaces\" value=\"\" name=\"cntctfrm_contact_name\" id=\"cntctfrm_contact_name\" \/><\/div><\/div><div class=\"cntctfrm_field_wrap cntctfrm_field_email_wrap\"email><div class=\"cntctfrm_label cntctfrm_label_email\">\n\t\t\t\t\t\t\t\t\t<label for=\"cntctfrm_contact_email\">Email Address: <span class=\"required\">*<\/span><\/label>\n\t\t\t\t\t\t\t\t<\/div><div class=\"cntctfrm_input cntctfrm_input_email\">\n\t\t\t\t\t\t\t\t\t<input email class=\"text\" type=\"email\" size=\"40\" value=\"\" name=\"cntctfrm_contact_email\" id=\"cntctfrm_contact_email\" \/><\/div><\/div><div class=\"cntctfrm_field_wrap cntctfrm_field_subject_wrap\"subject><div class=\"cntctfrm_label cntctfrm_label_subject\">\n\t\t\t\t\t\t\t\t\t<label for=\"cntctfrm_contact_subject\">Subject: <span class=\"required\">*<\/span><\/label>\n\t\t\t\t\t\t\t\t<\/div><div class=\"cntctfrm_input cntctfrm_input_subject\">\n\t\t\t\t\t\t\t\t<input subject pattern=\"^\\p{L}{1,}([\\p{L}\\s]){2,}\" title=\"Please enter only letters at least 3 characters, words seperated by spaces\" class=\"text\" type=\"text\" size=\"40\" value=\"\" name=\"cntctfrm_contact_subject\" id=\"cntctfrm_contact_subject\" \/><\/div><\/div><div class=\"cntctfrm_field_wrap cntctfrm_field_message_wrap\"message><div class=\"cntctfrm_label cntctfrm_label_message\">\n\t\t\t\t\t\t\t\t<label for=\"cntctfrm_contact_message\">Message: <span class=\"required\">*<\/span><\/label>\n\t\t\t\t\t\t\t<\/div><div class=\"cntctfrm_input cntctfrm_input_message\">\n\t\t\t\t\t\t\t\t<textarea message rows=\"5\" cols=\"30\"name=\"cntctfrm_contact_message\" id=\"cntctfrm_contact_message\"><\/textarea><\/div><\/div><div class=\"cntctfrm_field_wrap cntctfrm_field_captcha_wrap\"><div class=\"cntctfrm_label cntctfrm_label_captcha\">\n\t\t\t\t\t\t\t\t\t\t\t<label><\/label>\n\t\t\t\t\t\t\t\t\t\t<\/div><div class=\"cntctfrm_input cntctfrm_input_captcha\"><div class=\"gglcptch gglcptch_v2\"><div id=\"gglcptch_recaptcha_451557553\" class=\"gglcptch_recaptcha\"><\/div>\n\t\t\t\t<noscript>\n\t\t\t\t\t<div style=\"width: 302px;\">\n\t\t\t\t\t\t<div style=\"width: 302px; height: 422px; position: relative;\">\n\t\t\t\t\t\t\t<div style=\"width: 302px; height: 422px; position: absolute;\">\n\t\t\t\t\t\t\t\t<iframe src=\"https:\/\/www.google.com\/recaptcha\/api\/fallback?k=6LfLcXMUAAAAAGNVnZyWwotlNRipEC2KiJeY6T-w\" frameborder=\"0\" scrolling=\"no\" style=\"width: 302px; height:422px; border-style: none;\"><\/iframe>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<div style=\"border-style: none; bottom: 12px; left: 25px; margin: 0px; padding: 0px; right: 25px; background: #f9f9f9; border: 1px solid #c1c1c1; border-radius: 3px; height: 60px; width: 300px;\">\n\t\t\t\t\t\t\t<input type=\"hidden\" id=\"g-recaptcha-response\" name=\"g-recaptcha-response\" class=\"g-recaptcha-response\" style=\"width: 250px !important; height: 40px !important; border: 1px solid #c1c1c1 !important; margin: 10px 25px !important; padding: 0px !important; resize: none !important;\">\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/noscript><\/div><\/div><\/div><\/div><div class=\"clear\"><\/div><div class=\"cntctfrm_submit_wrap\"><div id=\"cntctfrm_submit_first_column\" class=\"cntctfrm_column\"><div class=\"cntctfrm_input cntctfrm_input_submit\"><input type=\"hidden\" value=\"send\" name=\"cntctfrm_contact_action\">\n\t\t\t\t\t\t\t<input type=\"hidden\" value=\"default\" name=\"cntctfrm_language\">\n\t\t\t\t\t\t\t<input type=\"hidden\" value=\"1\" name=\"cntctfrm_form_submited\">\n\t\t\t\t\t\t\t<input type=\"hidden\" value=\"cntctfrm_options\" name=\"cntctfrm_options_name\">\n\t\t\t\t\t\t\t<input type=\"submit\" value=\"Submit\" class=\"cntctfrm_contact_submit\" id=\"1\" \/>\n\t\t\t\t\t\t<\/div><\/div><div id=\"cntctfrm_submit_second_column\" class=\"cntctfrm_column\"><\/div><div class=\"clear\"><\/div>\n\t\t\t<\/div>\n\t\t\t<\/form>\n","protected":false},"excerpt":{"rendered":"<p>Python modules like Pandas, Anaconda and SciPy offer great possibilities to work with large numerical data sets. These possibilities to manipulate numerical data can do a great job for analyzing Spice simulation results. BeSpice Wave Parser, our waveform parser library has been extended to a Python module with the complete&#8230;<\/p>\n<p class=\"continue-reading-button\"> <a class=\"continue-reading-link\" href=\"https:\/\/www.analogflavor.com\/en\/2016\/03\/07\/parse-spice-simulation-output-with-python\/\">Continue reading<i class=\"crycon-right-dir\"><\/i><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12,5],"tags":[],"class_list":["post-265","post","type-post","status-publish","format-standard","hentry","category-eda","category-features"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Parse Spice Simulation Output With Python - Analog Flavor<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.analogflavor.com\/en\/2016\/03\/07\/parse-spice-simulation-output-with-python\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Parse Spice Simulation Output With Python - Analog Flavor\" \/>\n<meta property=\"og:description\" content=\"Python modules like Pandas, Anaconda and SciPy offer great possibilities to work with large numerical data sets. 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These possibilities to manipulate numerical data can do a great job for analyzing Spice simulation results. BeSpice Wave Parser, our waveform parser library has been extended to a Python module with the complete... 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