标签:nbsp 技术 技术分享 pandas range label dataframe show 线图
时间序列pv-gmv双轴折线图
import numpy as np import pandas as pd import matplotlib.pyplot as plt n = 12 date_series = pd.date_range(start=‘2018-01-01‘, periods=n, freq="D") data = { ‘pv‘: [10000, 12000, 13000, 11000, 9000, 16000, 10000, 12000, 13000, 11000, 9000, 16000], ‘gmv‘: [100, 90, 120, 150, 200, 80, 100, 90, 120, 150, 200, 80] } df = pd.DataFrame(data, index=date_series) ax = df.plot( secondary_y=[‘gmv‘], x_compat=True, grid=True) ax.set_title("pv-gmv") ax.set_ylabel(‘pv‘) ax.grid(linestyle="--", alpha=0.3) ax.right_ax.set_ylabel(‘gmv‘) plt.show()
import math import numpy as np import pandas as pd import matplotlib.pyplot as plt n = 12 date_series = pd.period_range(start=‘2018-01‘, periods=n, freq="M") data = { ‘pv‘: [10000, 12000, 13000, 11000, 9000, 16000, 10000, 12000, 13000, 11000, 9000, 16000], ‘gmv‘: [100, 90, 120, 150, 200, 80, 100, 90, 120, 150, 200, 80] } df = pd.DataFrame(data, index=date_series) ax = df.plot( secondary_y=[‘gmv‘], x_compat=True, grid=True) ax.set_title("pv-gmv") ax.set_ylabel(‘pv‘) ax.grid(linestyle="--", alpha=0.3) ax.right_ax.set_ylabel(‘gmv‘) plt.show()
标签:nbsp 技术 技术分享 pandas range label dataframe show 线图
原文地址:https://www.cnblogs.com/wwxbi/p/9032054.html