js |
JavaScriptタグが付けられた新着投稿 - Qiita |
JavaScript(Node) でモジュールが直接実行されているかを判別する |
https://qiita.com/shingo-sasaki/items/d3343ab3fd247e24dbfc
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javascriptnode |
2022-11-06 18:22:57 |
Ruby |
Rubyタグが付けられた新着投稿 - Qiita |
古くなってしまったrubocopを最新まで一気に上げたい人へ贈るバージョンアップの向き合い方 |
https://qiita.com/WakameSun/items/e25acff31318b50795a8
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rubocop |
2022-11-06 18:04:07 |
Linux |
Ubuntuタグが付けられた新着投稿 - Qiita |
VirtualBox Ubuntu22.04の環境構築 |
https://qiita.com/damepo9696/items/e6bdc8f91d86bbd59c2a
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ubuntu |
2022-11-06 18:21:16 |
AWS |
AWSタグが付けられた新着投稿 - Qiita |
EC2のネットワーク設定を自動化するDHCPオプションセット |
https://qiita.com/talomina/items/cb59178bca9f234e6140
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ipconfig |
2022-11-06 18:13:37 |
golang |
Goタグが付けられた新着投稿 - Qiita |
多次元スライスにスライスを挿入する |
https://qiita.com/863/items/124f8b3ff761cac316a8
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packagemainimportfm |
2022-11-06 18:04:38 |
海外TECH |
DEV Community |
Matplotlib - Visualization with Python |
https://dev.to/debjotyms/matplotlib-visualization-with-python-3iel
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Matplotlib Visualization with Python IntroductionMatplotlib is the “grandfather library of data visualization with Python John Hunter created it He created it to try to replicate MatLab s another programming language plotting capabilities in Python So if you are familiar with MatLab matplotlib will feel natural to you It is an excellent D and D graphics library for generating scientific figures Matplotlib allows you to create reproducible figures programmatically Let s learn how to use it Before continuing this lecture I encourage you just to explore the official Matplotlib web page InstallationTo install matplotlib on your system you have to run this code on your command line gt gt pip install matplotlib ImportingTo use matplotlib in our code first we have to import it We will Import the matplotlib pyplot module under the name plt the tidy way Basic ExampleLet s begin our journey with a very simple example using two numpy arrays You can also use lists but you ll most likely be passing NumPy arrays or Pandas columns which also behave like arrays We can create a very simple line plot using the following code Here we are creating a plot and also giving the titles Creating Multi plots on the Same CanvasThe subplot method requires three parameters to specify the figure s layout The first and second arguments indicate rows and columns which are used to structure the layout The third input is the current plot s index Matplotlib Object Oriented MethodNow that we ve seen the basics let s break it all down with a more formal introduction of Matplotlib s Object Oriented API This means we will instantiate figure objects and then call methods or attributes from those objects The main idea in using the more formal Object Oriented method is to create figure objects and then just call methods or attributes off of that object This approach is nicer when dealing with a canvas that has multiple plots on it To begin we create a figure instance Then we can add axes to that figure If you understand the fifth line then you are good to go The code is a little more complicated but the advantage is that we now have full control over where the plot axes are placed and we can easily add more than one axis to the figure subplots With the subplot function we can draw multiple plots in one figure This object will act as a more automatic axis manager Then when you make the subplots object you can tell it how many rows and columns you want and it will create it according to your desire Now let s see what is actually stored inside the variable axisBasically the variable axes is an array of axes to plot on We can also iterate through this array and do whatever we want like that A common issue with matplolib is overlapping subplots or figures We can use the fig tight layout or plt tight layout method which automatically adjusts the positions of the axes on the figure canvas so that there is no overlapping content Figure size aspect ratio and DPIMatplotlib allows the aspect ratio DPI and figure size to be specified when the Figure object is created You can use the figsize and dpi keyword arguments figsize is a tuple of the width and height of the figure in inchesdpi is the dots per inch pixel per inch For example The same arguments can also be passed to layout managers such as the subplots function Saving figuresMatplotlib can generate high quality output in a number of formats including PNG JPG EPS SVG PGF and PDF To save a figure to a file we can use the savefig method in the Figure class Here we can also optionally specify the DPI and choose between different output formats LegendsYou can use the label “label text keyword argument when plots or other objects are added to the figure and then use the legend method without arguments to add the legend to the figure Observe how our legend overlaps with a portion of the actual plot The legend function accepts the keyword argument loc which specifies where in the figure the legend should be drawn The permitted values of loc are the numeric identifiers for the various locations where the legend can be drawn I suggest you see the documentation page for information These are some of the most frequent loc values Setting colors linewidths linetypesMatplotlib gives you a lot of options for customizing colors line widths and line types There is a basic MATLAB like syntax Colors with MatLab like syntaxWith matplotlib we can define the colors of lines and other graphical elements in a number of ways First of all we can use the MATLAB like syntax where b means blue g means green etc The MATLAB API for selecting line styles is also supported where for example b means a blue line with dots Colors with the color parameterWith the color and alpha keyword arguments we can also define colors by their names or RGB hex codes and we can add an alpha value if we want to Alpha indicates opacity Line and marker stylesTo change the line width we can use the linewidth or lw keyword argument The line style can be selected using the linestyle or ls keyword arguments fig ax plt subplots figsize ax plot x x color red linewidth ax plot x x color red linewidth ax plot x x color red linewidth ax plot x x color red linewidth possible line style options steps ax plot x x color green lw linestyle ax plot x x color green lw ls ax plot x x color green lw ls custom dashline ax plot x x color black lw line set dashes format line length space length possible marker symbols marker o s ax plot x x color blue lw ls marker ax plot x x color blue lw ls marker o ax plot x x color blue lw ls marker s ax plot x x color blue lw ls marker marker size and colorax plot x x color purple lw ls marker o markersize ax plot x x color purple lw ls marker o markersize ax plot x x color purple lw ls marker o markersize markerfacecolor red ax plot x x color purple lw ls marker s markersize markerfacecolor yellow markeredgewidth markeredgecolor green Control over axis appearanceIn this section we will look at controlling axis sizing properties in a matplotlib figure Plot rangeWe can configure the ranges of the axes using the set ylim and set xlim methods in the axis object or axis tight for automatically getting “tightly fitted axes ranges Special Plot TypesThere are many specialized plots we can create such as bar plots histograms scatter plots and much more Most of these types of plots we will actually create using Seaborn a statistical plotting library for Python But here are a few examples of these types of plots Further reading This course also teaches me machine learning and the majority of this blog s content is derived from this course The project web page for matplotlib The source code for matplotlib A large gallery showcasing various types of plots matplotlib can create Highly recommended A good matplotlib tutorial Another good matplotlib reference |
2022-11-06 09:53:57 |
海外TECH |
DEV Community |
Reorder Data in Log Files |
https://dev.to/salahelhossiny/reorder-data-in-log-files-17k8
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Reorder Data in Log FilesYou are given an array of logs Each log is a space delimited string of words where the first word is the identifier There are two types of logs Letter logs All words except the identifier consist of lowercase English letters Digit logs All words except the identifier consist of digits Reorder these logs so that The letter logs come before all digit logs The letter logs are sorted lexicographically by their contents If their contents are the same then sort them lexicographically by their identifiers The digit logs maintain their relative ordering Return the final order of the logs class Solution def reorderLogFiles self logs List str gt List str def get key log id rest log split maxsplit return rest id if rest isalpha else return sorted logs key get key |
2022-11-06 09:09:35 |
海外科学 |
BBC News - Science & Environment |
COP27: Rishi Sunak urges world to move faster on renewable energy |
https://www.bbc.co.uk/news/uk-63527460?at_medium=RSS&at_campaign=KARANGA
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egypt |
2022-11-06 09:53:29 |
ニュース |
BBC News - Home |
T20 World Cup: South Africa out after shock loss to Netherlands |
https://www.bbc.co.uk/sport/cricket/63531185?at_medium=RSS&at_campaign=KARANGA
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final |
2022-11-06 09:07:13 |
ニュース |
BBC News - Home |
Chantelle Cameron beats Jessica McCaskill to become the undisputed light-welterweight champion |
https://www.bbc.co.uk/sport/boxing/63530088?at_medium=RSS&at_campaign=KARANGA
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Chantelle Cameron beats Jessica McCaskill to become the undisputed light welterweight championChantelle Cameron becomes the undisputed light welterweight champion after a unanimous decision victory over Jessica McCaskill |
2022-11-06 09:41:03 |
北海道 |
北海道新聞 |
道内ドカ雪 今冬も警戒必要 三つの気象条件、発生しやすく |
https://www.hokkaido-np.co.jp/article/756293/
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道内 |
2022-11-06 18:13:26 |
北海道 |
北海道新聞 |
J2降格の磐田、渋谷監督が退任 「厳しい結果に責任を感じる」 |
https://www.hokkaido-np.co.jp/article/756434/
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渋谷洋樹 |
2022-11-06 18:05:00 |
北海道 |
北海道新聞 |
対抗戦、帝京大と明大が全勝守る ラグビー、関東大学リーグ |
https://www.hokkaido-np.co.jp/article/756433/
|
熊谷ラグビー場 |
2022-11-06 18:04:00 |
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