sla*_*oth 5 matplotlib python-3.x
我知道这里有人问过这个确切的问题,但是当前的解决方案对我没有任何帮助。我似乎无法为每个标签生成一个具有不同颜色的图例。我已经尝试了Matplotlib上的当前文档,但无济于事。我不断收到我的错误PathCollection object has no attribute legend_elements
编辑:另外,我希望我的图例只是Years情节的独特年份,而不是现在的情况是每个数据点都映射到我的图例。这是我所拥有的
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import matplotlib.pyplot as plt
from matplotlib.pyplot import figure
from matplotlib.pyplot import legend
import os
%config InlineBackend.figure_format = 'retina'
path = None
for dirname, _, filenames in os.walk('/kaggle/input'):
for filename in filenames:
path = os.path.join(dirname, filename)
# Indexes to be removed
early_demo_dividend = 13
high_income = 24
lower_middle_income = 40
north_america = 46
members = 50
post_demo = 56
_removals = [early_demo_dividend, high_income, lower_middle_income, north_america, members, post_demo]
#Read in data
df = pd.read_csv(path)
#Get the rows we want
df = df.loc[df['1960'] > 1]
df = df.drop(columns=["Code", "Type", "Indicator Name"])
#Remove the odd rows
for i in _removals:
df = df.drop(df.index[i])
#Format the dataframe
df = df.melt('Name', var_name='Year', value_name='Budget')
#Plot setup
plt.figure().set_size_inches(16,6)
plt.xticks(rotation=90)
plt.grid(True)
#Plot labels
plt.title('Military Spending of Countries')
plt.xlabel('Countries')
plt.ylabel('Budget in Billions')
#Plot data
new_year = df['Year'].astype(int)
scatter = plt.scatter(df['Name'], df['Budget'], c=(new_year / 10000) , label=new_year)
#Legend setup produce a legend with the unique colors from the scatter
legend1 = plt.legend(*scatter.legend_elements(),
loc="lower left", title="Years")
plt.add_artist(legend1)
plt.show()
Run Code Online (Sandbox Code Playgroud)
小智 7
我也遇到了这个问题。
尝试升级您matplotlib的pip3 install --upgrade matplotlib
Uninstalling matplotlib-3.0.3:
Successfully uninstalled matplotlib-3.0.3
Successfully installed matplotlib-3.1.2
Run Code Online (Sandbox Code Playgroud)
这个对我有用。
尽管我的答案可能与当前问题无关,但我决定留下它来描述我的案例 - 它可能对其他人有用:
当使用 matplotlib 函数(例如scatter或 )时plot,错误地指定一些附加参数的名称,您可能会得到相同的错误。例子:
x = list(range(10))
y = list(range(10))
plt.scatter(x, y, labels='RESULT')
Run Code Online (Sandbox Code Playgroud)
我收到错误:
AttributeError:“PathCollection”对象没有属性“标签”
正如错误消息中所说(但对于不专心的开发人员来说并不明显:)):我使用labels而不是label