Smooth line chart with Matplotlib (scipy interpolate)

smooth_chart.py

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy import interpolate

url = 'https://gist.githubusercontent.com/Thiagobc23/4ccb4ea1c612d9d68921bf990ce28855/raw/6225824a6b7d5d273019c09c25cbbaa5b82009bc/dummy_data.csv'
df = pd.read_csv(url, index_col='ID')

# figure
fig, ax = plt.subplots(1, figsize=(12,4), facecolor='#293952')
ax.set_facecolor('#293952')

# data
price = df['Price']

# interpolate
x = np.arange(0, len(price))
y = price
inter = interpolate.interp1d(x, y, kind = 'cubic')
new_x = np.arange(0, len(y)-1, 0.01)
new_y = inter(new_x)

# interpolated lines
plt.plot(new_x, new_y, color='#FDAC53', linewidth=1.5)

# data points
plt.scatter(x, price, color='#FDAC53', s=15, zorder=3)

# ticks and title
ax.tick_params(axis='both', colors='w')
plt.xticks(x[::3], df.Date[::3])
plt.title('Price\n', loc='left', color='w', fontsize=16)

# spines
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.spines['left'].set_color('w')
ax.spines['bottom'].set_color('w')

# grid
ax.set_axisbelow(True)
ax.yaxis.grid(color='#FDAC53', linestyle='dashed', alpha=0.5)

# limit
plt.ylim(0,)
plt.tight_layout()

#plt.show()
plt.savefig('smooth_lines.png', facecolor='#293952')