Features

graphics.py

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+import matplotlib.pyplot as plt
+from matplotlib.ticker import AutoMinorLocator
+import numpy as np
+import pylab as pltt
+import datetime
+import matplotlib.dates as mdates
+
+
+dict_with_data = {datetime.datetime(2020, 12, 7, 1): 53,
+               datetime.datetime(2020, 12, 7, 2): 14,
+               datetime.datetime(2020, 12, 7, 3): 15,
+               datetime.datetime(2020, 12, 7, 4): 12,
+               datetime.datetime(2020, 12, 7, 5): 35,
+               datetime.datetime(2020, 12, 7, 6): 31,
+               datetime.datetime(2020, 12, 7, 7): 2}
+
+label_of_image = "zsd"
+
+sample_data = {datetime.datetime(2020, 12, 7): 53,
+               datetime.datetime(2020, 12, 8): 14,
+               datetime.datetime(2020, 12, 9): 15,
+               datetime.datetime(2020, 12, 10): 12,
+               datetime.datetime(2020, 12, 11): 35,
+               datetime.datetime(2020, 12, 12): 31,
+               datetime.datetime(2020, 12, 13): 2}
+
+
+def create_weekday_image(dict_with_data, label_of_image):
+    if len(dict_with_data) > 7:
+        return
+    day_of_week = [0, 1, 2, 3, 4, 5, 6]
+    online_on_this_weekday = [0, 0, 0, 0, 0, 0, 0]
+    for date in dict_with_data:
+        online_on_this_weekday[date.weekday()] = dict_with_data[date]
+    labels = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
+    pltt.rcParams['figure.figsize'] = 7, 5
+    pltt.bar(day_of_week, online_on_this_weekday, align='center')
+    pltt.xticks(day_of_week, labels)
+    pltt.savefig(label_of_image + '.png')
+    pltt.close()
+
+
+def create_daily_image(dict_with_data, label_of_image):
+    day_delta = 0
+    prev_key = datetime.datetime.now()
+    for key in dict_with_data:
+        day_delta = key - prev_key
+        prev_key = key
+    period = day_delta.total_seconds()
+    period = period // 60
+    number_of_dots = int(1440 // period)
+    y_axis = [0] * int(number_of_dots)
+    x_axis = [datetime.datetime(2020, 1, 1, 0, 0, 0) + day_delta * i for i in range(number_of_dots)]
+    for key in dict_with_data:
+        y_axis[int((key.minute + key.hour * 60) // period)] = dict_with_data[key]
+    figure, ax = plt.subplots(figsize=(number_of_dots, 10))
+    ax.set_title(label_of_image)
+    ax.set_xlabel("Время", fontsize=14)
+    ax.set_ylabel("Процент онлайна", fontsize=14)
+    ax.grid(which="major", linewidth=1.2)
+    ax.grid(which="minor", linestyle="--", color="gray", linewidth=0.5)
+    ax.scatter(x_axis, y_axis, c="red")
+    ax.plot(x_axis, y_axis)
+    my_fmt = mdates.DateFormatter('%H:%M')
+    ax.xaxis.set_major_formatter(my_fmt)
+    figure.savefig("images/" + label_of_image + ".png")
+
+
+def create_graph_image(period, total_time, y_axis, label_of_graph):
+    number_of_dots = total_time//period
+    x = np.linspace(1, number_of_dots, number_of_dots)
+    figure, ax = plt.subplots(figsize=(number_of_dots, 10))
+    ax.set_title(label_of_graph, fontsize=16)
+    ax.set_xlabel("Время", fontsize=14)
+    ax.set_ylabel("Процент онлайна", fontsize=14)
+    ax.grid(which="major", linewidth=1.2)
+    ax.grid(which="minor", linestyle="--", color="gray", linewidth=0.5)
+    ax.scatter(x, y_axis, c="red")
+    ax.plot(x, y_axis)
+    ax.xaxis.set_minor_locator(AutoMinorLocator())
+    ax.yaxis.set_minor_locator(AutoMinorLocator())
+    return figure
+
+
+#figure1 = create_graph_image(1, 11, [1, 2, 3, 4, 5, 64, 40, 8, 7, 5, 9], "28 ноября")
+#figure1.savefig("images/plot.png")
+create_weekday_image(sample_data, "21")
+plt.imsave
+create_daily_image(dict_with_data, label_of_image)