Python 如何绘制熊猫特定颜色的散点图？

我通过一步一步地阅读别人的代码来学习python数据分析。 我有一个名为df的数据帧，如下所示：

我想画一个散点图，其中，

total匹配

作为x轴，

win rate

作为y轴，每个点在

color map

中用相应的颜色着色

这样（不考虑名字描述）：

代码是：

df.plot(kind='scatter', x='total matches', y='win rate', color=df['color map'].tolist(), figsize=(15,10), title='win rate vs # matches by champions')

但此raise

ValueError:无法将字符串转换为浮点：“绿色”

---

如何修复它？

此参数语法似乎有效

给定的

df

：

     name  total_matches  win_rate color_map
0   Ivern           6671     55.87     green
1  Anivia           6433     53.97       red
2  Xerath           5108     53.62      blue
3    Ahri          30841     53.55    yellow
4    Sona          11847     53.14     black

使用：

---

此代码将获得您想要的内容，而无需将整个数据帧转换为字典。但是，我必须将每个Pandas列转换为列表，以便将名称标签添加到每个点，但是如果没有名称标签，您可以直接使用数据帧

# All the necessary imports
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import style

# There are several style templates in Matplotlib, this one seems to fit your look
style.use('fivethirtyeight')

# Reduce font size to reduce clutter
plt.rcParams['font.size'] = 6.0
fig, ax = plt.subplots()

# Create list from each dataframe column
x = df['total matches'].tolist()
y = df['win rate'].tolist()
colors = df['color map'].tolist()
names = df['name'].tolist()

# Create scatter plot, c property takes list of colors
ax.scatter(x, y, c=colors)

# Iterate through names to add label to each point
for i, txt in enumerate(names):
    ax.annotate(txt, (x[i],y[i]))

# Show the chart, matplotlib can save the chart in several formats as well
plt.show()

---

这应该归功于我的熊猫版本。当我更新我的熊猫时，从

0.19.2

到

0.21.1

。错误消失了。

请将您的df.to_dict（）而不是图片发布。我没有任何

ValueError

。我的

pd.\uuuuu版本是
0.21.1
@user32185哇！我把我的熊猫从0.19.2升级到了0.21.1，效果很好。非常感谢！：）
df.plot(kind='scatter', x='total_matches', 
        y='win_rate', c=df.color_map, s=80)

# All the necessary imports
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import style

# There are several style templates in Matplotlib, this one seems to fit your look
style.use('fivethirtyeight')

# Reduce font size to reduce clutter
plt.rcParams['font.size'] = 6.0
fig, ax = plt.subplots()

# Create list from each dataframe column
x = df['total matches'].tolist()
y = df['win rate'].tolist()
colors = df['color map'].tolist()
names = df['name'].tolist()

# Create scatter plot, c property takes list of colors
ax.scatter(x, y, c=colors)

# Iterate through names to add label to each point
for i, txt in enumerate(names):
    ax.annotate(txt, (x[i],y[i]))

# Show the chart, matplotlib can save the chart in several formats as well
plt.show()