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可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: This question already has an answer here: Python slice how-to, I know the Python slice but how can I use built-in slice object for it? 4 answers I'm just wondering if I can do something like: df . loc [ '1990' : '2000' ] by doing something like: my_slice = '1990' : '2000' df . loc [ my_slice ] What I've written doesn't work, but is there something similar that does? 回答1: Yes, but you don't write slices like that. You write slice('1900', '2000', None) instead. 转载请标明出处: Can I store slicers in a variable? (Pandas/Python) [duplicate]

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I'm trying to zoomable/draggle rectangle from going outside of the svg bounds when panning and zooming. I've tried to implement it based off of this example , but i cant seem to get it to work. I've created this jsfiddle with just the rectangle that is zoomable and draggable. Again, im trying to make it so that you can not drag the rectangle outside of the svg box i put the border on. I know i need to update the move function. the code below is from the first link example but it does not seem to work well so i commented part of it

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'm trying to import pandas while using iPython. My overall purpose is to use XLwings. I'm on Windows 7 and have used Anaconda to install Python, pandas and all the dependencies. Here is my code: from pandas import DataFrame Which gives: ImportError Traceback (most recent call last) <ipython-input-7-26dfcabfb474> in <module>() ----> 1 from pandas import DataFrame C:\Users\Accounting\Anaconda\lib\site-packages\pandas\__init__.py in <module>() 11 "pandas from the source directory, you may need to run " 12 "'python setup.py build_ext --inplace'

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have my xml file as <?xml version="1.0" encoding="ISO-8859-1"?> <Info> <Pan>123</Pan> <Name>qwe</Name> <Email>qwe</Email> <City>qwe</City> <State>qwe</State> <AssessmentYear>2012</AssessmentYear> <MobileNo>1234</MobileNo> <Income-Salary>1234</Income-Salary> <Income-Other>1234</Income-Other> <TotalAmount>122</TotalAmount> <Signature> <SignedInfo> <CanonicalizationMethod Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"/> <SignatureMethod Algorithm="http://www.w3.org/2000/09/xmldsig#rsa-sha1"/> <Reference URI=""><Transforms><Transform

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I created an application based on Tkinter that uses Matplotlib for plotting a waveform. I wonder how I could change the tooltips for the Matplotlib toolbar buttons (I need to translate the English descriptions since my application is in Czech language). I'd also like to change/translate or just remove the descriptions ( pan/zoom , zoom rect ) that appear next to the toolbar panel when clicking on the zoom or pan button. I found some useful tips concerning how to add or remove buttons from the toolbar, but haven't found any advice for

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: How can I pan and zoom using fabricjs? I've tried using the methods zoomToPoint and setZoom but they do not work for panning. Once I start using different zoom points I start having trouble. $('#zoomIn').click(function(){ canvas.setZoom(canvas.getZoom() * 1.1 ) ; }) ; $('#zoomOut').click(function(){ canvas.setZoom(canvas.getZoom() / 1.1 ) ; }) ; $('#goRight').click(function(){ //Need to implement }) ; $('#goLeft').click(function(){ //Need to implement }) ; http://jsfiddle.net/hdramos/ux16013L/ 回答1: Solved it using: relativePan() absolutePan(

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Suppose I have data of the form Name h1 h2 h3 h4 A 1 nan 2 3 B nan nan 1 3 C 1 3 2 nan I want to move all non-nan cells to the left (or collect all non-nan data in new columns) while preserving the order from left to right, getting Name h1 h2 h3 h4 A 1 2 3 nan B 1 3 nan nan C 1 3 2 nan I can of course do so row by row. But I hope to know if there are other ways with better performance. 回答1: Here's what I did: I unstacked your dataframe into a longer format, then grouped by the name column. Within each group, I drop the NaNs, but then reindex

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I would like to specify numbered sections via Pandoc's support for YAML front matter. I know that the flag for the command-line usage is --number-sections , but something like --- title : Test number - sections : true --- doesn't produce the desired result. I know that I am close because you can do this with the geometry package (e.g. geometry: margin=2cm ). I wish there was a definitive guide on how Pandoc YAML front matter handling. For example, the following is very useful (avoids templates), but its discoverability is low:

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: My df has 3 columns df = pd.DataFrame({"col_1": (0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0), "col_2": (0.0, 0.24, 1.0, 0.0, 0.22, 3.11, 0.0), "col_3": ("Mon", "Tue", "Thu", "Fri", "Mon", "Tue", "Thu")}) I want to drop rows where df.col_1 is 1.0 and df.col_2 is 0.0. So, I would get: df = pd.DataFrame({"col_1": (0.0, 0.0, 1.0, 0.0, 1.0), "col_2": (0.0, 0.24, 1.0, 0.22, 3.11), "col_3": ("Mon", "Tue", "Thu", "Mon", "Tue")}) I tried: df_new = df.drop[df[(df['col_1'] == 1.0) & (df['col_2'] == 0.0)].index] It gives me the error: 'method' object is not

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have a few dozen conditions (e.g., foo > bar ) that I need to evaluate on ~1MM rows of a DataFrame , and the most concise way of writing this is to store these conditions as a list of strings and create a DataFrame of boolean results (one row per record x one column per condition). (User input is not being evaluated.) In the quest for premature optimization, I am trying to determine whether I should write these conditions for evaluation within DataFrame (e.g., df.eval("foo > bar") or just leave it to python as in eval("df.foo > df.bar")