实现功能：
python绘制带误差阴影的时间序列图。
实今世码：
from scipy.stats import sem
import pandas as pd
import matplotlib.pyplot as plt
# Import Data
df_raw = pd.read_csv('F:\数据杂坛\datasets\orders_45d.csv',
parse_dates=['purchase_time', 'purchase_date'])
# Prepare Data: Daily Mean and SE Bands
df_mean = df_raw.groupby('purchase_date').quantity.mean()
df_se = df_raw.groupby('purchase_date').quantity.apply(sem).mul(1.96)
# Plot
plt.figure(figsize=(10, 6), dpi=80)
plt.ylabel("Daily Orders", fontsize=12)
x = [d.date().strftime('%Y-%m-%d') for d in df_mean.index]
plt.plot(x, df_mean, color="#c72e29", lw=2)
plt.fill_between(x, df_mean - df_se, df_mean + df_se, color="#f8f2e4")
# Decorations
# Lighten borders
plt.gca().spines["top"].set_alpha(0)
plt.gca().spines["bottom"].set_alpha(1)
plt.gca().spines["right"].set_alpha(0)
plt.gca().spines["left"].set_alpha(1)
plt.xticks(x[::6], [str(d) for d in x[::6]], fontsize=12)
plt.title("Daily Order Quantity of Brazilian Retail with Error Bands (95% confidence)",fontsize=14)
# Axis limits
s, e = plt.gca().get_xlim()
plt.xlim(s, e - 2)
plt.ylim(4, 10)
# Draw Horizontal Tick lines
for y in range(5, 10, 1):
plt.hlines(y,
xmin=s,
xmax=e,
colors='black',
alpha=0.5,
linestyles="--",
lw=0.5)
plt.show()
实现效果：
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