| from io import StringIO |
| import numpy as np |
| import matplotlib.pyplot as plt |
| import pandas as pd |
| import numpy as np |
| from matplotlib.patheffects import SimpleLineShadow, Normal |
|
|
| data = {"Region": ["North America", "Latin America", "Europe", "Africa", "Asia", "Australia", "Antarctica", "East Asia", "Middle East"], |
| "Home schooling rate": [5, 8, 10, 3, 7, 11, 1, 6, 4]} |
|
|
| df = pd.DataFrame(data) |
|
|
| fig, ax = plt.subplots() |
|
|
| x = np.arange(len(df["Region"])) |
|
|
| |
| line, = ax.plot(x, df["Home schooling rate"], marker='D', linestyle='-', linewidth=2, markersize=6, color='green', markerfacecolor='red', alpha=0.8, label="Home schooling rate", zorder=3, path_effects=[SimpleLineShadow(offset=(2.39, 3.87)), Normal()]) |
| for i in range(len(x)): |
| ax.text(i, df["Home schooling rate"][i], df["Home schooling rate"][i], ha='center') |
|
|
| ax.set_xlabel('Region') |
| ax.set_ylabel('Home Schooling Rate (%)') |
| ax.set_title('Home Schooling Rates by Region') |
| ax.legend(loc='upper right', shadow=True) |
| ax.set_xticks(x) |
| ax.set_xticklabels(df["Region"], rotation=45) |
| ax.grid(True) |
| ax.set_facecolor('lightgray') |
|
|
| plt.tight_layout() |
| plt.savefig("Edit_figure.png") |
