[英]How to set space between plot and colormap table (python)
I am using secondary y-axis and cmap color but when I plot together the color bar cross to my plot我正在使用辅助 y 轴和 cmap 颜色,但是当我将 plot 一起使用时,颜色条交叉到我的 plot
here is my code这是我的代码
fig,ax1=plt.subplots()
ax1 = df_Combine.plot.scatter('Parameter2', 'NPV (MM €)', marker='s', s=500, ylim=(-10,60), c='Lifetime1 (a)', colormap='jet_r', vmin=0, vmax=25, ax=ax1)
graph.axhline(0, color='k')
plt.xticks(rotation=90)
ax2 = ax1.twinx()
ax2.plot(df_Combine_min_select1["CumEnergy1 (kWH)"])
plt.show()
and here is my plotting这是我的阴谋
anyone can help how to solve this issue?任何人都可以帮助如何解决这个问题?
Thank you谢谢
When you let pandas automatically create a colorbar, you don't have positioning options.当您让 pandas 自动创建颜色条时,您没有定位选项。 Therefore, you can create the colorbar in a separate step and provide the
pad=
parameter to set a wider gap.因此,您可以在单独的步骤中创建颜色条并提供
pad=
参数来设置更宽的间隙。 Default, pad
is 0.05
, meaning 5% of the width of the subplot.默认情况下,
pad
为0.05
,表示子图宽度的 5%。
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
fig, ax1 = plt.subplots()
df_Combine = pd.DataFrame({'Parameter2': np.random.rand(10) * 10,
'NPV (MM €)': np.random.rand(10),
'Lifetime1 (a)': np.random.rand(10) * 25,
})
ax1 = df_Combine.plot.scatter('Parameter2', 'NPV (MM €)', marker='s', s=500, ylim=(-10, 60), c='Lifetime1 (a)',
colormap='jet_r', vmin=0, vmax=25, ax=ax1, colorbar=False)
plt.colorbar(ax1.collections[0], ax=ax1, pad=0.1)
ax2 = ax1.twinx()
ax2.plot(np.random.rand(10))
plt.show()
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