⎗ ✓ 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24import pandas as pd import matplotlib.pyplot as plt from datetime import datetime df = pd.read_csv("followers_info.csv", encoding="utf-8-sig") df["date"] = pd.to_datetime(df["follow_datetime"]).dt.date date_counts = df["date"].value_counts().sort_index() cumulative_counts = date_counts.cumsum() print(sum(date_counts), cumulative_counts[-1]) plt.figure(figsize=(15, 5)) plt.bar(date_counts.index, date_counts.values) plt.title("followers") plt.xlabel("date") plt.ylabel("numbers") plt.figure(figsize=(15, 5)) plt.plot(date_counts.index, cumulative_counts.values) plt.title("followers") plt.xlabel("date") plt.ylabel("numbers") plt.show()