質問編集履歴
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codeボタン使用してcodeいれる
test
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test
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```python
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import sys
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import tkinter as tk
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import tkinter.filedialog as tkfile
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from tkinter import filedialog
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from tkinter import ttk
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import pandas as pd
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from sklearn.model_selection import train_test_split
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import os, tkinter, tkinter.filedialog, tkinter.messagebox
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class Application(tk.Frame):
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def __init__(self, master):
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super().__init__(master)
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self.master = master
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self.master.title('ana_ver2')
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self.pack()
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self.create_widgets() #widget作る時に必要コード
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def create_widgets(self):
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self.input_box = tkinter.Entry(width=40)
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self.input_box.place(x=10, y=100)
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#ラベルの作成
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self.input_label = tkinter.Label(text="結果")
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self.input_label.place(x=10, y=70)
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#ボタンの作成
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self.button = tkinter.Button(text="参照",command=file_select)
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self.button.place(x=10, y=130)
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self.button2 = tkinter.Button(text="ana",command=ana_do)
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self.button2.place(x=10, y=160)
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self.input_box2 = tkinter.Entry(width=40)
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self.input_box2.place(x=10, y=180)
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#ボタンがクリックされたら実行
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def file_select():
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idir = 'C:\python_test' #初期フォルダ
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filetype = [("","*")] #拡張子の選択
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file_path = tkinter.filedialog.askopenfilename(filetypes = filetype, initialdir = idir)
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app.input_box.insert(tkinter.END, file_path) #結果を表示
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ana_do(file_path)
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def ana_do(FP):
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df_a = pd.read_csv(FP)
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del df_a['default']
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del df_a['id']
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#文字列のカラムを数値に置き換えて最終的にfloat変換(自動化完了)
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#------------------------------------------------------------------------------
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col_name=df_a.columns#カラム名取得
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#カラム名数処理繰り返し
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for i in range(len(col_name)):
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#カラムobjectの時の処理 要素抽出→置き換え
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if df_a[col_name[i]].dtypes==object:
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list_a = df_a[col_name[i]].unique()
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for u in range(len(list_a)):
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df_a[col_name[i]] = df_a[col_name[i]].replace(list_a[u], str(u))
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#カラム毎にfloat変換
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df_a[col_name[i]] =df_a[col_name[i]].astype(float)
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#------------------------------------------------------------------------------
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X =df_a[["age","job","marital","education","balance","housing","loan","contact","duration","campaign","pdays","previous","poutcome"]]
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y =df_a["y"]
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#学習データとtestデータに分ける
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from sklearn.model_selection import train_test_split
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# train_test_splitを使って、データセットをトレーニングデータとテストデータに分割する。 7:3
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X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3,random_state=0)
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#線形回帰モデル読み込み
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from sklearn.linear_model import LinearRegression
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lr=LinearRegression()
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lr.fit(X_train,y_train)
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lr.predict(X_test)
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#print(lr.coef_)#重み
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#print(lr.score(X_train,y_train)) #決定係数 0.22全然だめ
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#print(lr.score(X_test,y_test)) #決定係数
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#モデル読み込み
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from sklearn.linear_model import LogisticRegression
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Lr=LogisticRegression()
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#モデルに適合
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Lr.fit(X_train,y_train)
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#テストデータ予測
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y_a =Lr.predict(X_test)
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#誤判定件数確認
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from sklearn.metrics import confusion_matrix
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#print(confusion_matrix(y_test,y))
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out_1 = ('ロジスティック回帰 誤分類の個数:', (y_a != y_test).sum())
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#正答率を確認
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from sklearn.metrics import accuracy_score
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out_2 = ('ロジスティック回帰 正答率:' , accuracy_score(y_test,y_a))
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app.input_box2.insert(tkinter.END, out_1)
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root = tk.Tk()
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root.title(u"ana_ver3")
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root.geometry("500x600")
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app = Application(master=root)
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app.mainloop()
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```
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tkinterにて ボタン1 → 該当csvログ取得 → ログを渡す → ボタン2 → csvログ読み込み、解析処理
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と動くコードを書きたいと思っているのですが、うまくいっておらず困っております。
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@@ -7,101 +279,3 @@
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ログを渡したら自動で動いてしまうのかなと思ってはいるのですが、直し方が分かりません。
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素人な質問で申し訳ありませんが分かる方助けて頂きたいです。
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class Application(tk.Frame):
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def __init__(self, master):
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super().__init__(master)
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self.master = master
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self.master.title('ana_ver2')
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self.pack()
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self.create_widgets()
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def create_widgets(self):
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self.input_box = tkinter.Entry(width=40)
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self.input_box.place(x=10, y=100)
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self.input_label = tkinter.Label(text="結果")
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self.input_label.place(x=10, y=70)
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self.button = tkinter.Button(text="参照",command=file_select)
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self.button.place(x=10, y=130)
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self.button2 = tkinter.Button(text="ana",command=ana_do)
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self.button2.place(x=10, y=160)
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self.input_box2 = tkinter.Entry(width=40)
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self.input_box2.place(x=10, y=180)
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def file_select():
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idir = 'C:\python_test' #初期フォルダ
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filetype = [("","*")] #拡張子の選択
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file_path = tkinter.filedialog.askopenfilename(filetypes = filetype, initialdir = idir)
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app.input_box.insert(tkinter.END, file_path) #結果を表示
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ana_do(file_path)
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def ana_do(FP):
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df_a = pd.read_csv(FP)
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---------解析処理-----------------
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root = tk.Tk()
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root.title(u"ana_ver3")
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root.geometry("500x600")
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app = Application(master=root)
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app.mainloop()
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