[英]Different colors in columns, Padas DataFrame
I have Pandas DataFrame like this:我有这样的 Pandas DataFrame:
data = pd.DataFrame({"fuel":["gas","gas","diesel","diesel","gas","diesel"]})
And I used code to make a bar plot:我用代码来制作条形图:
ax1 = data.fuel.value_counts().plot('bar')
ax1.set(xlabel = 'Fuel Type', ylabel='Frequency of fuel type')
Nevertheless, I have both column in one colo (blue).尽管如此,我的两列都在一个颜色(蓝色)中。 What should I do to have different colors of columns?
我应该怎么做才能有不同颜色的列?
You can set color parameters in plot().您可以在 plot() 中设置颜色参数。
import pandas as pd
from matplotlib import pyplot as plt
data = pd.DataFrame({"fuel":["gas","gas","diesel","diesel","gas","diesel"]})
data.fuel.value_counts().plot('bar', color=['black', 'red'])
ax1.set(xlabel = 'Fuel Type', ylabel='Frequency of fuel type')
plt.show()
Create a list of random colors by the size of unique values of data.fuel
and pass it to option color
of plot
根据
data.fuel
的唯一值的大小创建随机颜色列表,并将其传递给plot
选项color
colors = [np.random.uniform(size=3) for _ in range(data.fuel.nunique())]
ax1 = data.fuel.value_counts().plot('bar', color=colors)
ax1.set(xlabel = 'Fuel Type', ylabel='Frequency of fuel type')
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