Plot

%matplotlib inline
# %matplotlib notebook   # Interactive plot, need restart Jupyter Notebook kernel
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import matplotlib.dates as mdates

fig, ax = plt.subplots()
data.plot(ax=ax)
data["column"].plot(ax=ax)
# plot type
data.plot(ax=ax, kind="line")
# style
data.plot(ax=ax, style=["b", "ro--"])
# legend
data.plot(ax=ax, legend=True)
ax.legend(labels=["label1", "label2"], loc="upper right")
# title
fig.suptittle("")
ax.set_title("title")
ax.set_ylabel("y label")
ax.set_xlabel("x label")
# grid
ax.grid(True)
# axis, tick
ax.set_xlim(left, right)
ax.get_xaxis().set_major_locator(mdates.MonthLocator(interval=4))
ax.get_xaxis().set_major_formatter(mdates.DateFormatter("%b %Y"))
ax.get_yaxis().set_major_formatter(ticker.PercentFormatter())
# annotation
ax.annotate(text="text", xy=(x, y), xytext=(x + 5, y + 5), arrowprops=dict(arrowstyle="->"))
# size
fig.set_size_inches(width, height)
fig.tight_layout()