{"id":3301,"date":"2023-07-18T05:04:24","date_gmt":"2023-07-18T05:04:24","guid":{"rendered":"https:\/\/statorials.org\/tr\/matplotlib-yatay-kilavuz-cizgileri\/"},"modified":"2023-07-18T05:04:24","modified_gmt":"2023-07-18T05:04:24","slug":"matplotlib-yatay-kilavuz-cizgileri","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/matplotlib-yatay-kilavuz-cizgileri\/","title":{"rendered":"Matplotlib'de yaln\u0131zca yatay bir \u0131zgara nas\u0131l \u00e7izilir"},"content":{"rendered":"

<\/p>\n

\n

Matplotlib’de yaln\u0131zca yatay bir \u0131zgara \u00e7izmek i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n

 ax. grid<\/span> (axis=' y<\/span> ')<\/span><\/span><\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n
 \u00d6rnek: Matplotlib’de yaln\u0131zca yatay bir \u0131zgara \u00e7izin<\/strong><\/span><\/h2>\n
 A\u015fa\u011f\u0131daki kod, Matplotlib’de grafikte yaln\u0131zca yatay bir \u0131zgaran\u0131n g\u00f6r\u00fcnt\u00fclendi\u011fi bir \u00e7ubuk grafi\u011finin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ':['Mavs', 'Nets', 'Spurs', 'Warriors'],\n                   ' points<\/span> ':[105, 99, 112, 100]})\n\n#defineplot\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#create bar plot\n<\/span>df. plot<\/span> (kind=' bar<\/span> ', ax=ax)\n\n#add horizontal gridlines\n<\/span>ax. grid<\/span> (axis=' y<\/span> ')\n\n#displayplot\n<\/span>plt. show<\/span> ()\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 \u00c7izimdeki \u00e7ubuklar\u0131n arkas\u0131ndaki yatay k\u0131lavuz \u00e7izgisini g\u00f6r\u00fcnt\u00fclemek i\u00e7in ax.set_axisbelow(True)<\/strong> i\u015flevini kullanmaktan \u00e7ekinmeyin:<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ':['Mavs', 'Nets', 'Spurs', 'Warriors'],\n                   ' points<\/span> ':[105, 99, 112, 100]})\n\n#defineplot\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#create bar plot\n<\/span>df. plot<\/span> (kind=' bar<\/span> ', ax=ax)\n\n#add horizontal gridlines behind bars in the plot\nax. set_axisbelow<\/span> ( True<\/span> )\n<\/span><\/span>ax. grid<\/span> (axis=' y<\/span> ')\n\n#displayplot\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"Yatay<\/p>\n
 Izgaran\u0131n g\u00f6r\u00fcn\u00fcm\u00fcn\u00fc \u00f6zelle\u015ftirmek i\u00e7in grid()<\/strong> i\u015flevindeki color<\/strong> , linestyle<\/strong> ve linewidth<\/strong> arg\u00fcmanlar\u0131n\u0131 kullanmaktan \u00e7ekinmeyin:<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ':['Mavs', 'Nets', 'Spurs', 'Warriors'],\n                   ' points<\/span> ':[105, 99, 112, 100]})\n\n#defineplot\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#create bar plot\n<\/span>df. plot<\/span> (kind=' bar<\/span> ', ax=ax)\n\n#add horizontal gridlines with custom appearance<\/span>\nax. set_axisbelow<\/span> ( True<\/span> )\nax. grid<\/span> (axis=' y<\/span> ', color=' red<\/span> ', linestyle=' dashed<\/span> ', linewidth= 3<\/span> )\n\n#displayplot\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 K\u0131lavuz \u00e7izgilerini \u00f6zelle\u015ftirme yollar\u0131n\u0131n tam listesini Matplotlib belgelerinde<\/a> bulabilirsiniz.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h2>\n
 A\u015fa\u011f\u0131daki e\u011fitimler Matplotlib’deki di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini a\u00e7\u0131klamaktad\u0131r:<\/span><\/p>\n
 Matplotlib grafiklerinden keneler nas\u0131l kald\u0131r\u0131l\u0131r<\/a>
 Matplotlib grafi\u011finde yaz\u0131 tipi boyutu nas\u0131l de\u011fi\u015ftirilir?<\/a>
 Matplotlib’de \u00e7izime ortalama \u00e7izgi nas\u0131l eklenir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Matplotlib’de yaln\u0131zca yatay bir \u0131zgara \u00e7izmek i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: ax. grid (axis=’ y ‘) A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek: Matplotlib’de yaln\u0131zca yatay bir \u0131zgara \u00e7izin A\u015fa\u011f\u0131daki kod, Matplotlib’de grafikte yaln\u0131zca yatay bir \u0131zgaran\u0131n g\u00f6r\u00fcnt\u00fclendi\u011fi bir \u00e7ubuk grafi\u011finin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir: import pandas as pd import matplotlib. pyplot as plt […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3301","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nMatplotlib'de yaln\u0131zca yatay bir \u0131zgara nas\u0131l \u00e7izilir - 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