Path: csiph.com!news.swapon.de!fu-berlin.de!uni-berlin.de!not-for-mail From: "Saini, Sakshi" Newsgroups: comp.lang.python Subject: graphs Date: Thu, 7 Jan 2016 10:36:34 -0500 Lines: 26 Message-ID: Mime-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable X-Trace: news.uni-berlin.de /ien70itCrBF9k96HekZ0gvpA7NM9E/x00ylO01UKB3Q== Return-Path: X-Original-To: python-list@python.org Delivered-To: python-list@mail.python.org X-Spam-Status: UNSURE 0.473 X-Spam-Level: **** X-Spam-Evidence: '*H*': 0.12; '*S*': 0.06; 'person(s)': 0.16; 'received:io': 0.16; 'received:psf.io': 0.16; 'copied': 0.18; 'please?': 0.22; 'wondering': 0.25; 'error': 0.27; 'values': 0.28; 'email name:[cid:image002.jpg': 0.29; 'code': 0.30; 'coordinator': 0.30; 'e.g.': 0.30; 'certain': 0.31; 'except': 0.34; 'received:172.19': 0.35; 'project': 0.36; 'url:org': 0.36; 'possible': 0.36; 'volume': 0.36; 'to:addr:python-list': 0.36; 'url:rec-html40': 0.37; 'charset:us-ascii': 0.37; 'delete': 0.38; 'thank': 0.38; 'mean': 0.38; 'resources': 0.39; 'to:addr:python.org': 0.40; 'url:schemas': 0.40; 'url:office': 0.40; 'protection': 0.60; 'your': 0.60; 'documents': 0.61; 'total': 0.62; 'making': 0.62; 'personal': 0.63; 'different': 0.63; 'information': 0.63; 'virus:src="cid:': 0.64; 'strictly': 0.64; 'you.': 0.64; 'content-type:multipart/related': 0.65; 'act': 0.67; 'filename:fname piece:jpg': 0.68; 'content-type:image/jpeg': 0.69; 'wish': 0.71; 'privacy': 0.71; 'directed': 0.81; 'act.': 0.84; 'disclosed': 0.91; 'average': 0.93; 'confidence': 0.95 X-IronPort-AV: E=Sophos;i="5.20,533,1444708800"; d="jpg'145?scan'145,208,217,145";a="37161646" Thread-Topic: graphs Thread-Index: AdFJYS7gfzv+UDH4RDumFe1OwGSw+g== Accept-Language: en-US Content-Language: en-US X-MS-Has-Attach: yes X-MS-TNEF-Correlator: acceptlanguage: en-US X-Mailman-Approved-At: Fri, 08 Jan 2016 08:10:47 -0500 X-Content-Filtered-By: Mailman/MimeDel 2.1.20+ X-BeenThere: python-list@python.org X-Mailman-Version: 2.1.20+ Precedence: list List-Id: General discussion list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Xref: csiph.com comp.lang.python:101373 I have a complex dataset and I wish to write a code to create different gr= aphs from it. I was wondering if it is possible for Python/ matplotlib/ sea= born to return a cumulative or mean distribution bar graph based on values = in your dataset? E.g. I have a certain volume in m3 for each rainfall event in mm, and I wis= h to plot the total volume OR average volume for different rainfall depths;= somewhat like the following: [cid:image002.jpg@01D14937.476CB2F0] Any tips please? Sakshi Saini, BASc, EIT Water Resources Project Coordinator | Credit Valley Conservation The information contained in this Credit Valley Conservation electronic mes= sage is directed in confidence solely to the person(s) named above and may = not be otherwise distributed, copied or disclosed including attachments. T= he message may contain information that is privileged, confidential and exe= mpt from disclosure under the Municipal Freedom of Information and Protecti= on and Privacy Act and by the Personal Information Protection Electronic Do= cuments Act. The use of such personal information except in compliance with= the Acts, is strictly prohibited. If you have received this message in err= or, please notify the sender immediately advising of the error and delete t= he message without making a copy. Thank you.