如何使用Python绘制一个带有两个y轴（x、y1和y2）的散点图

Question

我希望制作一个散点图，可以在上面拥有两个y轴（y1轴为右侧的产量（公斤/公顷），y2轴为左侧的面积（公顷）），并在年份x轴上显示“趋势线”。谢谢提前。

crops1 = pd.DataFrame({"x1": crops['Years'],
               "y1_1": crops['Area_ha'], 
               "y1_2": crops['Yield_kg']})

crops2 = pd.DataFrame({"x2": crops['Years'],
               "y2_1": crops['Area_ha'], 
               "y2_2": crops['Yield_kg']})
#plt.scatter(x,y)

fig, ax1 = plt.scatter(x1,y1)
ax2=ax1.twinx()



crops1.scatter(x="x1", y= ["y1_1"], ax=ax1, legend=False)
crops1.scatter(x="x1", y="y1_2", ax=ax2, legend=False, color="r")
crops2.scatter(x="x2", y="y2_1", ax=ax1, legend=False)
crops2.scatter(x="x2", y="y2_2", ax=ax2, legend=False, color="r")

- Issa KASSOGUE

Answer 1

import matplotlib.pyplot as plt

fig, ax1 = plt.subplots()

ax2 = ax1.twinx()
ax1.scatter(x, y1, color='g')
ax2.scatter(x, y2, color='b')

ax1.set_xlabel('X data')
ax1.set_ylabel('Y1 data', color='g')
ax2.set_ylabel('Y2 data', color='b')

plt.show()

- pyaj

Answer 2

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

df = pd.DataFrame({
    "X": [1, 2 ,3, 4],
    "Y": [2, 4, 9, 7],
    "description": ["a", "b", "c", "d"]})

df.plot.scatter(x="X", y="Y")
z = np.polyfit(df["X"], df["Y"], deg=1)
p = np.poly1d(z)
plt.plot(df["X"], p(df["X"]), "r--")

plt.show()

Pandas散点图：https://pandas.pydata.org/pandas-docs/version/1.3/reference/api/pandas.DataFrame.plot.scatter.html

趋势线：如何在Python Matplotlib点（散点）图中添加趋势线？

- Tzane