{"id":1303,"date":"2025-05-30T19:29:54","date_gmt":"2025-05-30T16:29:54","guid":{"rendered":"https:\/\/com47276.wordpress.com\/?page_id=1061"},"modified":"2025-10-25T17:15:36","modified_gmt":"2025-10-25T17:15:36","slug":"8-1-teema-graafikute-ja-diagrammide-loomine-2","status":"publish","type":"page","link":"https:\/\/oleksandraryshniak24.thkit.ee\/wp1\/8-1-teema-graafikute-ja-diagrammide-loomine-2\/","title":{"rendered":"8.1 Teema Graafikute ja diagrammide loomine"},"content":{"rendered":"\n

Teema “Graafikute ja diagrammide loomine”<\/h2>\n\n\n\n

Matplotlibi alused<\/h4>\n\n\n\n

Raamatukogu<\/strong>: matplotlib.pyplot (import: import matplotlib.pyplot as plt).<\/h5>\n\n\n\n
Graafikute t\u00fc\u00fcbid<\/strong>:<\/h5>\n\n\n\n
    \n
  • plot(): Joongraafik.<\/li>\n\n\n\n
  • scatter(): Hajusdiagramm.<\/li>\n\n\n\n
  • bar(): Tulpdiagramm.<\/li>\n\n\n\n
  • hist(): Histogramm.<\/li>\n\n\n\n
  • pie(): Sektordiagramm.<\/li>\n<\/ul>\n\n\n\n
    N\u00e4ide<\/strong>:<\/h5>\n\n\n
    \nx = [1, 2, 3, 4]\ny = [1, 4, 9, 16]\nplt.plot(x, y)\nplt.title("Lihtne graafik")\nplt.xlabel("X-telg")\nplt.ylabel("Y-telg")\nplt.show()\n<\/pre><\/div>\n\n\n
    \"\"<\/figure>\n\n\n\n
    \"\"<\/figure>\n\n\n\n
    \"\"<\/figure>\n\n\n\n
    \"\"<\/figure>\n\n\n\n
    \"\"<\/figure>\n\n\n\n
    Graafikute seadistamine<\/h4>\n\n\n\n
    Joone stiilid<\/strong> (linestyle): ‘-‘ (t\u00e4isjoon), ‘–‘ (katkendjoon), ‘-.’ (punkt-kriips), ‘:’ (punktiir).<\/h5>\n\n\n\n
    Markerid<\/strong> (marker): ‘.’, ‘o’, ‘^’, ‘s’, ‘*’, ‘D’.<\/h5>\n\n\n\n
    Seaded:<\/strong> markersize, markerfacecolor, markeredgecolor, markeredgewidth.<\/h5>\n\n\n\n
    N\u00e4ide<\/strong>: plt.plot(x, y, marker=’D’, markersize=10, markerfacecolor=’yellow’).<\/h5>\n\n\n\n
    V\u00e4rvid<\/strong>: Nimed (‘blue’), l\u00fchendid (‘b’), HEX (‘#FF5733’), paletid (‘viridis’).<\/h5>\n\n\n\n
    Tekst<\/strong>:<\/h5>\n\n\n\n
      \n
    • plt.title(“Pealkiri”, fontsize=14, fontweight=’bold’).<\/li>\n\n\n\n
    • plt.xlabel(), plt.ylabel(), plt.text().<\/li>\n<\/ul>\n\n\n\n
      N\u00e4ide kahe joonega<\/strong><\/h5>\n\n\n
      \nx = [0, 1, 2, 3, 4]\ny1 = [0, 1, 4, 9, 16]\ny2 = [16, 9, 4, 1, 0]\nplt.plot(x, y1, linestyle='-', marker='o', color='blue', label="T\u00f5usev joon")\nplt.plot(x, y2, linestyle='--', marker='x', color='green', label="Laskuv joon")\nplt.title("Kahe joone n\u00e4ide")\nplt.xlabel("X-telg")\nplt.ylabel("Y-telg")\nplt.legend()\nplt.grid(True)\nplt.show()\n<\/pre><\/div>\n\n\n
      Andmet\u00f6\u00f6tlus (rahvaarv.txt)<\/h4>\n\n\n\n
      Andmed<\/strong>: Fail rahvaarv.txt (Tallinn: 452412, Tartu: 102521 jne).<\/h5>\n\n\n\n
      \u00dclesanne<\/strong>:<\/h5>\n\n\n\n
        \n
      • Lugeda andmed.<\/li>\n\n\n\n
      • Arvutada: summa, keskmine, max\/min (NumPy abil).<\/li>\n\n\n\n
      • Luua tulpdiagramm.<\/li>\n<\/ul>\n\n\n\n
        Kood<\/strong>:<\/h5>\n\n\n
        \nimport numpy as np\nimport matplotlib.pyplot as plt\nlinnad, rahvaarvud = [], []\nwith open("rahvaarv.txt", encoding="utf-8") as f:\n    for rida in f:\n        osad = rida.strip().split()\n        linnad.append(" ".join(osad[:-1]))\n        rahvaarvud.append(int(osad[-1]))\narvud_np = np.array(rahvaarvud)\nprint(f"Koguarv: {arvud_np.sum()}")\nprint(f"Keskmine: {arvud_np.mean():.1f}")\nprint(f"Suurim: {linnad[np.argmax(arvud_np)]} ({arvud_np.max()})")\nprint(f"V\u00e4ikseim: {linnad[np.argmin(arvud_np)]} ({arvud_np.min()})")\nplt.figure(figsize=(10, 6))\nplt.bar(linnad, rahvaarvud, color="skyblue")\nplt.title("Eesti linnade rahvaarv")\nplt.xlabel("Linn")\nplt.ylabel("Elanike arv")\nplt.xticks(rotation=45)\nplt.tight_layout()\nplt.show()\n<\/pre><\/div>\n\n\n
        Salvestamine<\/strong>: plt.savefig(“rahvaarvud_diagramm.png”).<\/h5>\n\n\n\n
        N\u00e4idistulpdiagramm<\/h4>\n\n\n\n
        Allpool on toodud Eesti linnade rahvaarvu tulpdiagramm:<\/h5>\n\n\n
        \n{\n  "type": "bar",\n  "data": {\n    "labels": ["Tallinn", "Tartu", "Narva", "P\u00e4rnu", "Viljandi", "Rakvere"],\n    "datasets": [{\n      "label": "Elanike arv",\n      "data": [452412, 102521, 53840, 49120, 17123, 15890],\n      "backgroundColor": "rgba(135, 206, 235, 0.7)",\n      "borderColor": "rgba(135, 206, 235, 1)",\n      "borderWidth": 1\n    }]\n  },\n  "options": {\n    "scales": {\n      "y": {\n        "beginAtZero": true,\n        "title": { "display": true, "text": "Elanike arv" }\n      },\n      "x": {\n        "title": { "display": true, "text": "Linn" }\n      }\n    },\n    "plugins": {\n      "title": { "display": true, "text": "Eesti linnade rahvaarv" }\n    }\n  }\n}\n<\/pre><\/div>\n\n\n
        Vene keel:<\/h2>\n\n\n\n
        \u041e\u0441\u043d\u043e\u0432\u044b Matplotlib<\/h3>\n\n\n\n
        \u0411\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430<\/strong>: matplotlib.pyplot (\u0438\u043c\u043f\u043e\u0440\u0442: import matplotlib.pyplot as plt).<\/h5>\n\n\n\n
        \u0422\u0438\u043f\u044b \u0433\u0440\u0430\u0444\u0438\u043a\u043e\u0432<\/strong>:<\/h5>\n\n\n\n
          \n
        • plot(): \u041b\u0438\u043d\u0435\u0439\u043d\u044b\u0439 \u0433\u0440\u0430\u0444\u0438\u043a.<\/li>\n\n\n\n
        • scatter(): \u0422\u043e\u0447\u0435\u0447\u043d\u044b\u0439 \u0433\u0440\u0430\u0444\u0438\u043a.<\/li>\n\n\n\n
        • bar(): \u0421\u0442\u043e\u043b\u0431\u0447\u0430\u0442\u0430\u044f \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0430.<\/li>\n\n\n\n
        • hist(): \u0413\u0438\u0441\u0442\u043e\u0433\u0440\u0430\u043c\u043c\u0430.<\/li>\n\n\n\n
        • pie(): \u041a\u0440\u0443\u0433\u043e\u0432\u0430\u044f \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0430.<\/li>\n<\/ul>\n\n\n\n
          \u041f\u0440\u0438\u043c\u0435\u0440<\/strong>:<\/h5>\n\n\n
          \nx = [1, 2, 3, 4]\ny = [1, 4, 9, 16]\nplt.plot(x, y)\nplt.title("\u041f\u0440\u043e\u0441\u0442\u043e\u0439 \u0433\u0440\u0430\u0444\u0438\u043a")\nplt.xlabel("\u041e\u0441\u044c X")\nplt.ylabel("\u041e\u0441\u044c Y")\nplt.show()\n<\/pre><\/div>\n\n\n
          \"\"<\/figure>\n\n\n\n
          \"\"<\/figure>\n\n\n\n
          \"\"<\/figure>\n\n\n\n
          \"\"<\/figure>\n\n\n\n
          \"\"<\/figure>\n\n\n\n
          \u041d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0438 \u0433\u0440\u0430\u0444\u0438\u043a\u043e\u0432<\/h4>\n\n\n\n
            \n
          • \u0421\u0442\u0438\u043b\u0438 \u043b\u0438\u043d\u0438\u0439<\/strong> (linestyle): ‘-‘ (\u0441\u043f\u043b\u043e\u0448\u043d\u0430\u044f), ‘–‘ (\u043f\u0443\u043d\u043a\u0442\u0438\u0440), ‘-.’ (\u0442\u043e\u0447\u043a\u0430-\u0442\u0438\u0440\u0435), ‘:’ (\u0442\u043e\u0447\u0435\u0447\u043d\u0430\u044f).<\/li>\n\n\n\n
          • \u041c\u0430\u0440\u043a\u0435\u0440\u044b<\/strong> (marker): ‘.’, ‘o’, ‘^’, ‘s’, ‘*’, ‘D’.<\/li>\n\n\n\n
          • \u041d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0438: markersize, markerfacecolor, markeredgecolor, markeredgewidth.<\/li>\n\n\n\n
          • \u041f\u0440\u0438\u043c\u0435\u0440: plt.plot(x, y, marker=’D’, markersize=10, markerfacecolor=’yellow’).<\/li>\n\n\n\n
          • \u0426\u0432\u0435\u0442\u0430<\/strong>: \u041d\u0430\u0437\u0432\u0430\u043d\u0438\u044f (‘blue’), \u0441\u043e\u043a\u0440\u0430\u0449\u0435\u043d\u0438\u044f (‘b’), HEX (‘#FF5733’), \u043f\u0430\u043b\u0438\u0442\u0440\u044b (‘viridis’).<\/li>\n<\/ul>\n\n\n\n
            \u0422\u0435\u043a\u0441\u0442<\/strong>:<\/h5>\n\n\n\n
              \n
            • plt.title(“\u0417\u0430\u0433\u043e\u043b\u043e\u0432\u043e\u043a”, fontsize=14, fontweight=’bold’).<\/li>\n\n\n\n
            • plt.xlabel(), plt.ylabel(), plt.text().<\/li>\n<\/ul>\n\n\n\n
              \u041f\u0440\u0438\u043c\u0435\u0440 \u0441 \u0434\u0432\u0443\u043c\u044f \u043b\u0438\u043d\u0438\u044f\u043c\u0438<\/h3>\n\n\n
              \nx = [0, 1, 2, 3, 4]\ny1 = [0, 1, 4, 9, 16]\ny2 = [16, 9, 4, 1, 0]\nplt.plot(x, y1, linestyle='-', marker='o', color='blue', label="\u0412\u043e\u0437\u0440\u0430\u0441\u0442\u0430\u044e\u0449\u0430\u044f \u043b\u0438\u043d\u0438\u044f")\nplt.plot(x, y2, linestyle='--', marker='x', color='green', label="\u0423\u0431\u044b\u0432\u0430\u044e\u0449\u0430\u044f \u043b\u0438\u043d\u0438\u044f")\nplt.title("\u041f\u0440\u0438\u043c\u0435\u0440 \u0434\u0432\u0443\u0445 \u043b\u0438\u043d\u0438\u0439")\nplt.xlabel("\u041e\u0441\u044c X")\nplt.ylabel("\u041e\u0441\u044c Y")\nplt.legend()\nplt.grid(True)\nplt.show()\n<\/pre><\/div>\n\n\n
              \u041e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 (rahvaarv.txt)<\/h4>\n\n\n\n
              \u0414\u0430\u043d\u043d\u044b\u0435<\/strong>: \u0424\u0430\u0439\u043b rahvaarv.txt (Tallinn: 452412, Tartu: 102521 \u0438 \u0434\u0440.).<\/h5>\n\n\n\n
              \u0417\u0430\u0434\u0430\u0447\u0430<\/strong>:<\/h5>\n\n\n\n
                \n
              • \u041f\u0440\u043e\u0447\u0438\u0442\u0430\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435.<\/li>\n\n\n\n
              • \u0412\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c: \u0441\u0443\u043c\u043c\u0443, \u0441\u0440\u0435\u0434\u043d\u0435\u0435, max\/min (\u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e NumPy).<\/li>\n\n\n\n
              • \u041f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0441\u0442\u043e\u043b\u0431\u0447\u0430\u0442\u0443\u044e \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0443.<\/li>\n<\/ul>\n\n\n\n
                \u041a\u043e\u0434<\/strong>:<\/h5>\n\n\n
                \nimport numpy as np\nimport matplotlib.pyplot as plt\nlinnad, rahvaarvud = [], []\nwith open("rahvaarv.txt", encoding="utf-8") as f:\n    for rida in f:\n        osad = rida.strip().split()\n        linnad.append(" ".join(osad[:-1]))\n        rahvaarvud.append(int(osad[-1]))\narvud_np = np.array(rahvaarvud)\nprint(f"\u0421\u0443\u043c\u043c\u0430: {arvud_np.sum()}")\nprint(f"\u0421\u0440\u0435\u0434\u043d\u0435\u0435: {arvud_np.mean():.1f}")\nprint(f"\u041c\u0430\u043a\u0441\u0438\u043c\u0443\u043c: {linnad[np.argmax(arvud_np)]} ({arvud_np.max()})")\nprint(f"\u041c\u0438\u043d\u0438\u043c\u0443\u043c: {linnad[np.argmin(arvud_np)]} ({arvud_np.min()})")\nplt.figure(figsize=(10, 6))\nplt.bar(linnad, rahvaarvud, color="skyblue")\nplt.title("\u041d\u0430\u0441\u0435\u043b\u0435\u043d\u0438\u0435 \u0433\u043e\u0440\u043e\u0434\u043e\u0432 \u042d\u0441\u0442\u043e\u043d\u0438\u0438")\nplt.xlabel("\u0413\u043e\u0440\u043e\u0434")\nplt.ylabel("\u0427\u0438\u0441\u043b\u043e \u0436\u0438\u0442\u0435\u043b\u0435\u0439")\nplt.xticks(rotation=45)\nplt.tight_layout()\nplt.show()\n<\/pre><\/div>\n\n\n
                \u0421\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u0435<\/strong>: plt.savefig(“rahvaarvud_diagramm.png”).<\/h5>\n\n\n\n
                \u041f\u0440\u0438\u043c\u0435\u0440 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b<\/h3>\n\n\n\n
                \u041d\u0438\u0436\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0430 \u0441\u0442\u043e\u043b\u0431\u0447\u0430\u0442\u0430\u044f \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0430 \u043d\u0430\u0441\u0435\u043b\u0435\u043d\u0438\u044f \u0433\u043e\u0440\u043e\u0434\u043e\u0432:<\/h5>\n\n\n
                \n{\n  "type": "bar",\n  "data": {\n    "labels": ["Tallinn", "Tartu", "Narva", "P\u00e4rnu", "Viljandi", "Rakvere"],\n    "datasets": [{\n      "label": "\u041d\u0430\u0441\u0435\u043b\u0435\u043d\u0438\u0435",\n      "data": [452412, 102521, 53840, 49120, 17123, 15890],\n      "backgroundColor": "rgba(135, 206, 235, 0.7)",\n      "borderColor": "rgba(135, 206, 235, 1)",\n      "borderWidth": 1\n    }]\n  },\n  "options": {\n    "scales": {\n      "y": {\n        "beginAtZero": true,\n        "title": { "display": true, "text": "\u0427\u0438\u0441\u043b\u043e \u0436\u0438\u0442\u0435\u043b\u0435\u0439" }\n      },\n      "x": {\n        "title": { "display": true, "text": "\u0413\u043e\u0440\u043e\u0434" }\n      }\n    },\n    "plugins": {\n      "title": { "display": true, "text": "\u041d\u0430\u0441\u0435\u043b\u0435\u043d\u0438\u0435 \u0433\u043e\u0440\u043e\u0434\u043e\u0432 \u042d\u0441\u0442\u043e\u043d\u0438\u0438" }\n    }\n  }\n}\n<\/pre><\/div>","protected":false},"excerpt":{"rendered":"
                Teema “Graafikute ja diagrammide loomine” Matplotlibi alused Raamatukogu: matplotlib.pyplot (import: import matplotlib.pyplot as plt). Graafikute t\u00fc\u00fcbid: N\u00e4ide: Graafikute seadistamine Joone […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1303","page","type-page","status-publish","hentry"],"yoast_head":"\n8.1 Teema Graafikute ja diagrammide loomine - Oleksandra Ryshniak Portfolio<\/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:\/\/oleksandraryshniak24.thkit.ee\/wp1\/8-1-teema-graafikute-ja-diagrammide-loomine-2\/\" \/>\n<meta property=\"og:locale\" content=\"et_EE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"8.1 Teema Graafikute ja diagrammide loomine - Oleksandra Ryshniak Portfolio\" \/>\n<meta property=\"og:description\" content=\"Teema “Graafikute ja diagrammide loomine” Matplotlibi alused Raamatukogu: matplotlib.pyplot (import: import matplotlib.pyplot as plt). 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