Парсим Тинькофф пульс

pip install tpulse --upgrade 

import pandas as pd import numpy as np import matplotlib.pyplot as plt from tpulse import TinkoffPulse from httpx import HTTPStatusError from time import sleep pulse = TinkoffPulse() N = 300 cursor = 999999999 raw_data = [] KEYS = [     "id",     "nickname",     "likesCount",     "commentsCount",     "inserted", ] for _ in range(N):     try:         response = pulse.get_posts_by_ticker("TCSG", cursor)         cursor = response["nextCursor"]         posts = response["items"]         for post in posts:             data = {                 key: post[key] for key in KEYS             }             raw_data.append(data)     except HTTPStatusError:         pass     sleep(0.25) 

base_df = pd.DataFrame(raw_data) base_df['inserted'] = pd.to_datetime(base_df["inserted"].str[:10]) daily_counts = base_df.groupby('inserted').size().reset_index(name='count') 

plt.figure(figsize=(15, 6)) plt.plot(daily_counts['inserted'], daily_counts['count'], marker='o', linestyle='-', color='r') plt.xlabel('Дата') plt.ylabel('Количество публикаций') plt.title('График количества публикаций по дням') plt.grid(True) plt.show() 

plt.figure(figsize=(15, 6)) plt.plot(daily_counts['inserted'], daily_counts['count'], marker='o', linestyle='-', color='r', label='Количество публикаций') plt.xlabel('Дата') plt.ylabel('Количество публикаций') plt.title('График количества публикаций по дням') plt.grid(True) x = np.arange(len(daily_counts)) y = daily_counts['count'] coefficients = np.polyfit(x, y, 1) trend_line = np.polyval(coefficients, x) plt.plot(daily_counts['inserted'], trend_line, linestyle='--', color='g', label='Линия тренда') plt.legend() plt.show()