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import csv import pandas as pd from datetime import datetime import os import glob os.chdir("C://sample5") def process_csv(csv_file): data = [] with open(csv_file, 'r') as file: reader = csv.reader(file) next(reader) # 最初の行をスキップ header = next(reader) # 2番目の行をヘッダーとして読み込む for row in reader: data.append(row) df = pd.DataFrame(data, columns=header) df["データ日時"] = pd.to_datetime(df["データ日時"]) df = df.set_index("データ日時") df["積算発電"] = pd.to_numeric(df["積算発電"]) df["元データ日時"] = df.index.to_series() df = df.groupby([df.index.date, df.index.hour]).last() df['時間差分'] = df['元データ日時'].diff() df['時間差分'] = df['時間差分'].shift(-1) df['積算発電差分'] = df['積算発電'].diff() df['積算発電差分'] = df['積算発電差分'].shift(-1) return df # フォルダ内のすべてのCSVファイルに対して処理を適用します csv_files = glob.glob("*.csv") for csv_file in csv_files: df = process_csv(csv_file) print(f"{csv_file} の処理が完了しました。") import csv csv_file = 'sample.csv' # 結果を格納するリスト result = [] with open(csv_file, 'r') as file: reader = csv.reader(file) # ヘッダー行を読み込む header = next(reader) result.append(header) # データ行を読み込む for row in reader: result.append(row) # 結果を表示 for row in result: print(row) import csv csv_file = 'sample.csv' # 結果を格納するリスト result = [] with open(csv_file, 'r') as file: reader = csv.reader(file) # ヘッダー行を読み込む header = next(reader) result.append(header) # データ行を読み込む for row in reader: result.append(row) # 結果を表示 for row in result: print(row) import csv from collections import OrderedDict csv_file = 'sample.csv' # インデックス列の名前と通常列の名前 index_column = 'timestamp' data_column = 'generation' # 結果を格納するOrderedDict result = OrderedDict() with open(csv_file, 'r') as file: reader = csv.DictReader(file) for row in reader: index_value = row[index_column] data_value = row[data_column] result[index_value] = data_value # 結果を表示 for index, value in result.items(): print(f"{index}: {value}") import tkinter as tk from tkinter import ttk import pandas as pd import matplotlib.pyplot as plt from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg from tkinter import filedialog root = tk.Tk() root.title("CSV Plotter") # Create a main frame frame_main = ttk.Frame(root) frame_main.pack(fill="both", expand=True) # Create a canvas and attach it to the main frame canvas = tk.Canvas(frame_main) canvas.pack(side="left", fill="both", expand=True) # Create horizontal and vertical scrollbars x_scrollbar = ttk.Scrollbar(frame_main, orient="horizontal", command=canvas.xview) x_scrollbar.pack(side="bottom", fill="x") y_scrollbar = ttk.Scrollbar(frame_main, orient="vertical", command=canvas.yview) y_scrollbar.pack(side="right", fill="y") canvas.configure(xscrollcommand=x_scrollbar.set, yscrollcommand=y_scrollbar.set) # Create a subframe and attach it to the canvas frame_sub = ttk.Frame(canvas) canvas.create_window((0, 0), window=frame_sub, anchor="nw") # Rest of the code # ... def on_configure(event): canvas.configure(scrollregion=canvas.bbox("all")) frame_sub.bind('<Configure>', on_configure) root.mainloop() import tkinter as tk import pandas as pd import matplotlib.pyplot as plt from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg from tkinter import filedialog root = tk.Tk() root.title("CSV Plotter") # Create a main canvas and attach scrollbars main_canvas = tk.Canvas(root) main_canvas.pack(side="left", fill="both", expand=True) x_scrollbar = tk.Scrollbar(root, orient="horizontal", command=main_canvas.xview) x_scrollbar.pack(side="bottom", fill="x") y_scrollbar = tk.Scrollbar(root, orient="vertical", command=main_canvas.yview) y_scrollbar.pack(side="right", fill="y") main_canvas.configure(xscrollcommand=x_scrollbar.set, yscrollcommand=y_scrollbar.set) # Create a main frame and attach it to the main canvas frame_main = tk.Frame(main_canvas, bg="white") main_canvas.create_window((0, 0), window=frame_main, anchor="nw") # Create two canvases for Y-axis 1 and Y-axis 2 fig_y_axis1, ax1 = plt.subplots(nrows=3, ncols=1, figsize=(6, 9)) canvas_y_axis1 = FigureCanvasTkAgg(fig_y_axis1, master=frame_main) canvas_y_axis1.get_tk_widget().place(x=10, y=150, width=500, height=450) fig_y_axis2, ax2 = plt.subplots(nrows=3, ncols=1, figsize=(6, 6)) canvas_y_axis2 = FigureCanvasTkAgg(fig_y_axis2, master=frame_main) canvas_y_axis2.get_tk_widget().place(x=520, y=150, width=500, height=450) # Rest of the code # ... def on_configure(event): main_canvas.configure(scrollregion=main_canvas.bbox("all")) frame_main.bind('<Configure>', on_configure) root.mainloop() import tkinter as tk import pandas as pd import matplotlib.pyplot as plt from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg from tkinter import filedialog root = tk.Tk() root.title("CSV Plotter") root.geometry("1000x800") # Create a canvas to hold all widgets main_canvas = tk.Canvas(root, bg="white") main_canvas.pack(side="left", fill="both", expand=True) # Create two scrollbars scrollbar_y = tk.Scrollbar(root, orient='vertical', command=main_canvas.yview) scrollbar_y.pack(side='left', fill='y') scrollbar_x = tk.Scrollbar(root, orient='horizontal', command=main_canvas.xview) scrollbar_x.pack(side='bottom', fill='x') main_canvas.configure(yscrollcommand=scrollbar_y.set, xscrollcommand=scrollbar_x.set) # Create a frame to hold all widgets frame_main = tk.Frame(main_canvas) main_canvas.create_window((0, 0), window=frame_main, anchor="nw") # Create two canvases for Y-axis 1 and Y-axis 2 fig_y_axis1, ax1 = plt.subplots(nrows=3, ncols=1, figsize=(6, 9)) canvas_y_axis1 = FigureCanvasTkAgg(fig_y_axis1, master=frame_main) canvas_y_axis1.get_tk_widget().place(x=10, y=150, width=500, height=450) fig_y_axis2, ax2 = plt.subplots(nrows=3, ncols=1, figsize=(6, 6)) canvas_y_axis2 = FigureCanvasTkAgg(fig_y_axis2, master=frame_main) canvas_y_axis2.get_tk_widget().place(x=520, y=150, width=500, height=450) def clear_plots(): for ax in ax1: ax.clear() for ax in ax2: ax.clear() fig_y_axis1.tight_layout() fig_y_axis2.tight_layout() canvas_y_axis1.draw() canvas_y_axis2.draw() def load_csv_and_plot(): # ... (省略) # グラフのクリアボタンの作成 clear_button = tk.Button(frame_main, text="クリア", command=clear_plots) clear_button.place(x=850, y=10, width=150, height=50) # csv名称ボックス label_file = tk.Label(frame_main, text="CSVファイル名 .csvまで入れる") label_file.place(x=50, y=10) entry_file = tk.Entry(frame_main, width=100) entry_file.place(x=10, y=30, width=200, height=30) # 期間開始ボックス label_start = tk.Label(frame_main, text="Start Date") label_start.place(x=300, y=10) entry_start = tk.Entry(frame_main, width=100) entry_start.place(x=220, y=30, width=200, height=30) # 期間終了ボックス label_end = tk.Label(frame_main, text="End Date") label_end.place(x=500, y=10) entry_end = tk.Entry(frame_main, width=100) entry_end.place(x=420, y=30, width=200, height=30) # Y軸1 ボックス label_y # Y軸1 ボックス label_y_axis = tk.Label(frame_main, text="Y軸の指定1") label_y_axis.place(x=60, y=80) entry_y_axis = tk.Entry(frame_main, width=100) entry_y_axis.place(x=10, y=100, width=200, height=30) # Y軸2 ボックス label_y_axis_additional = tk.Label(frame_main, text="Y軸2の指定2") label_y_axis_additional.place(x=550, y=80) entry_y_axis_additional = tk.Entry(frame_main, width=100) entry_y_axis_additional.place(x=550, y=100, width=200, height=30) # 実行ボタン plot_button = tk.Button(frame_main, text="実行", command=load_csv_and_plot) plot_button.place(x=700, y=10, width=150, height=50) error_label = tk.Label(frame_main, text="") error_label.place(x=750, y=10) # Create labels for data count and mean values data_count_label = tk.Label(frame_main, text="") data_count_label.place(x=50, y=630) weekday_mean_value_label = tk.Label(frame_main, text="") weekday_mean_value_label.place(x=150, y=630) hourly_mean_value_label = tk.Label(frame_main, text="") hourly_mean_value_label.place(x=390, y=630) weekday_mean_additional_value_label = tk.Label(frame_main, text="") weekday_mean_additional_value_label.place(x=580, y=630) hourly_mean_additional_value_label = tk.Label(frame_main, text="") hourly_mean_additional_value_label.place(x=820, y=630) def on_configure(event): main_canvas.configure(scrollregion=main_canvas.bbox("all")) frame_main.bind('<Configure>', on_configure) root.mainloop() # Create a canvas to hold all widgets main_canvas = tk.Canvas(root, bg="white") main_canvas.pack(side="left", fill="both", expand=True) # Create two scrollbars scrollbar_y = tk.Scrollbar(root, orient='vertical', command=main_canvas.yview) scrollbar_y.pack(side='left', fill='y') scrollbar_x = tk.Scrollbar(root, orient='horizontal', command=main_canvas.xview) scrollbar_x.pack(side='bottom', fill='x') main_canvas.configure(yscrollcommand=scrollbar_y.set, xscrollcommand=scrollbar_x.set) # Create a frame to hold all widgets frame_main = tk.Frame(main_canvas) main_canvas.create_window((0, 0), window=frame_main, anchor="nw") # Replace `root` with `frame_main` for all widgets # (e.g., canvas_y_axis1 = FigureCanvasTkAgg(fig_y_axis1, master=frame_main)) root.update() main_canvas.configure(scrollregion=main_canvas.bbox("all")) canvas_y_axis1 = FigureCanvasTkAgg(fig_y_axis1, master=frame_main) GUI import tkinter as tk import pandas as pd import matplotlib.pyplot as plt from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg from tkinter import filedialog root = tk.Tk() root.title("CSV Plotter") root.geometry("1000x800") # Create two canvases for Y-axis 1 and Y-axis 2 fig_y_axis1, ax1 = plt.subplots(nrows=3, ncols=1, figsize=(6, 9)) canvas_y_axis1 = FigureCanvasTkAgg(fig_y_axis1, master=root) canvas_y_axis1.get_tk_widget().place(x=10, y=150, width=500, height=450) fig_y_axis2, ax2 = plt.subplots(nrows=3, ncols=1, figsize=(6, 6)) canvas_y_axis2 = FigureCanvasTkAgg(fig_y_axis2, master=root) canvas_y_axis2.get_tk_widget().place(x=520, y=150, width=500, height=450) def clear_plots(): for ax in ax1: ax.clear() for ax in ax2: ax.clear() fig_y_axis1.tight_layout() fig_y_axis2.tight_layout() canvas_y_axis1.draw() canvas_y_axis2.draw() def load_csv_and_plot(): csv_filename = entry_file.get() start_date = entry_start.get() end_date = entry_end.get() y_axis = entry_y_axis.get() y_axis_additional = entry_y_axis_additional.get() file_path = f'C:/sample5/{csv_filename}' try: data = pd.read_csv(file_path) data['データ日時'] = pd.to_datetime(data['データ日時']) data = data[(data['データ日時'] >= start_date) & (data['データ日時'] <= end_date)] data['weekday'] = data['データ日時'].dt.day_name() data['hour'] = data['データ日時'].dt.hour if y_axis: weekday_mean = data.groupby('weekday')[y_axis].mean() hourly_mean = data.groupby('hour')[y_axis].mean() # Update data count and mean value labels data_count_label.config(text=f"Data count: {len(data)}") weekday_mean_value_label.config(text=f"weekday_mean value ({y_axis}): {weekday_mean}") hourly_mean_value_label.config(text=f"hourly_mean value ({y_axis}): {hourly_mean}") # Clear and redraw the plots for Y-axis 1 ax1[0].clear() ax1[0].plot(data['データ日時'], data[y_axis]) ax1[0].set_xlabel('Date') ax1[0].set_ylabel(y_axis) ax1[0].set_title('Time Series Plot') ax1[1].clear() ax1[1].bar(weekday_mean.index, weekday_mean.values) ax1[1].set_xlabel('Weekday') ax1[1].set_ylabel(f'Average {y_axis}') ax1[1].set_title('Weekday Mean') ax1[2].clear() ax1[2].bar(hourly_mean.index, hourly_mean.values) ax1[2].set_xlabel('Hour') ax1[2].set_ylabel(f'Average {y_axis}') ax1[2].set_title('Hourly Mean') fig_y_axis1.tight_layout() canvas_y_axis1.draw() if y_axis_additional: weekday_mean_additional = data.groupby('weekday')[y_axis_additional].mean() hourly_mean_additional = data.groupby('hour')[y_axis_additional].mean() weekday_mean_additional_value_label.config(text=f"weekday_mean_additional value ({y_axis}): {weekday_mean_additional}") hourly_mean_additional_value_label.config(text=f"hourly_mean_additional value ({y_axis}): {hourly_mean_additional}") # Clear and redraw the plots for Y-axis 2 ax2[0].clear() ax2[0].plot(data['データ日時'], data[y_axis_additional]) ax2[0].set_xlabel('Date') ax2[0].set_ylabel(y_axis_additional) ax2[0].set_title('Time Series Plot') ax2[1].clear() ax2[1].bar(weekday_mean_additional.index, weekday_mean_additional.values) ax2[1].set_xlabel('Weekday') ax2[1].set_ylabel(f'Average {y_axis_additional}') ax2[1].set_title('Weekday Mean (Additional)') ax2[2].clear() ax2[2].bar(hourly_mean_additional.index, hourly_mean_additional.values) ax2[2].set_xlabel('Hour') ax2[2].set_ylabel(f'Average {y_axis_additional}') ax2[2].set_title('Hourly Mean (Additional)') fig_y_axis2.tight_layout() canvas_y_axis2.draw() except FileNotFoundError: error_label.config(text="File not found!") except Exception as e: error_label.config(text=f"Error: {str(e)}") #グラフのクリアボタンの作成 clear_button = tk.Button(root, text="クリア", command=clear_plots) clear_button.place(x=850, y=10, width=150, height=50) #csv名称ボックス label_file = tk.Label(root, text="CSVファイル名 .csvまで入れる") label_file.place(x=50, y=10) entry_file = tk.Entry(root, width=100) entry_file.place(x=10, y=30, width=200, height=30) #期間開始ボックス label_start = tk.Label(root, text="Start Date") label_start.place(x=300, y=10) entry_start = tk.Entry(root, width=100) entry_start.place(x=220, y=30, width=200, height=30) #期間終了ボックス label_end = tk.Label(root, text="End Date") label_end.place(x=500, y=10) entry_end = tk.Entry(root, width=100) entry_end.place(x=420, y=30, width=200, height=30) #Y軸1 ボックス label_y_axis = tk.Label(root, text="Y軸の指定1") label_y_axis.place(x=60, y=80) entry_y_axis = tk.Entry(root, width=100) entry_y_axis.place(x=10, y=100, width=200, height=30) #Y軸2 ボックス label_y_axis_additional = tk.Label(root, text="Y軸2の指定2") label_y_axis_additional.place(x=550, y=80) entry_y_axis_additional = tk.Entry(root, width=100) entry_y_axis_additional.place(x=550, y=100, width=200, height=30) #実行ボタン plot_button = tk.Button(root, text="実行", command=load_csv_and_plot) plot_button.place(x=700, y=10, width=150, height=50) error_label = tk.Label(root, text="") error_label.place(x=750, y=10) # Create labels for data count and mean values data_count_label = tk.Label(root, text="") data_count_label.place(x=50, y=630) weekday_mean_value_label = tk.Label(root, text="") weekday_mean_value_label.place(x=150, y=630) hourly_mean_value_label = tk.Label(root, text="") hourly_mean_value_label.place(x=390, y=630) weekday_mean_additional_value_label = tk.Label(root, text="") weekday_mean_additional_value_label.place(x=580, y=630) hourly_mean_additional_value_label = tk.Label(root, text="") hourly_mean_additional_value_label.place(x=820, y=630) root.mainloop() |
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