Question

我有一个CSV文件，已放入Pandas数据框中，我正在尝试通过SciKit-Learn运行基本的KMeans集群。这是我第一次这样做，却遇到了我不明白的错误。

import pandas as pd
import sklearn
import numpy as np 
import seaborn as sns; sns.set()

from sklearn.cluster import KMeans 


input_csv = '/Users/reallymemorable/Documents/Data.Repository/Analysis/Purchasers.Strats.Appends.csv'

# Read the CSV into a dataframe
df = pd.read_csv(input_csv)

# Select out only the relevant columns
df_shortlist = df[['Contact_ID', 'Sales_Stage_Sub', 'Sale_Type', 'Offered_Amount', 'Down_Payment']]

# Create binary dummy columns for Sales_Stage_Sub
df_shortlist_dummy_sales_stage_sub = pd.concat([df_shortlist, pd.get_dummies(df['Sales_Stage_Sub'])], axis=1)

# Create binary dummy columns for Sale_Type
df_shortlist_dummy_sales_stage_sub_and_sale_type = pd.concat([df_shortlist_dummy_sales_stage_sub, pd.get_dummies(df['Sale_Type'])], axis=1)

kmeans = KMeans(n_clusters=4)
kmeans.fit(df_shortlist_dummy_sales_stage_sub_and_sale_type)
y_means = kmeans.predict(df_shortlist_dummy_sales_stage_sub_and_sale_type)

plt.scatter(X[:, 0], X[:, 1], c=y_means, s=50, cmap='viridis')

centers = kmeans.cluster_centers_
plt.scatter(centers[:, 0], centers[:, 1], c='black', s=200, alpha=0.5);

这是我得到的错误：

Traceback (most recent call last):
  File "ml.spatial.clustering.py", line 4, in <module>
    import seaborn as sns; sns.set()
  File "/Users/reallymemorable/.pyenv/versions/3.6.7/lib/python3.6/site-packages/seaborn/__init__.py", line 6, in <module>
    from .rcmod import *
  File "/Users/reallymemorable/.pyenv/versions/3.6.7/lib/python3.6/site-packages/seaborn/rcmod.py", line 5, in <module>
    from . import palettes, _orig_rc_params
  File "/Users/reallymemorable/.pyenv/versions/3.6.7/lib/python3.6/site-packages/seaborn/palettes.py", line 12, in <module>
    from .utils import desaturate, set_hls_values, get_color_cycle
  File "/Users/reallymemorable/.pyenv/versions/3.6.7/lib/python3.6/site-packages/seaborn/utils.py", line 11, in <module>
    import matplotlib.pyplot as plt
  File "/Users/reallymemorable/.pyenv/versions/3.6.7/lib/python3.6/site-packages/matplotlib/pyplot.py", line 2374, in <module>
    switch_backend(rcParams["backend"])
  File "/Users/reallymemorable/.pyenv/versions/3.6.7/lib/python3.6/site-packages/matplotlib/pyplot.py", line 207, in switch_backend
    backend_mod = importlib.import_module(backend_name)
  File "/Users/reallymemorable/.pyenv/versions/3.6.7/lib/python3.6/importlib/__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/Users/reallymemorable/.pyenv/versions/3.6.7/lib/python3.6/site-packages/matplotlib/backends/backend_macosx.py", line 14, in <module>
    from matplotlib.backends import _macosx
ImportError: Python is not installed as a framework. The Mac OS X backend will not be able to function correctly if Python is not installed as a framework. See the Python documentation for more information on installing Python as a framework on Mac OS X. Please either reinstall Python as a framework, or try one of the other backends. If you are using (Ana)Conda please install python.app and replace the use of 'python' with 'pythonw'. See 'Working with Matplotlib on OSX' in the Matplotlib FAQ for more information.

Answer 1

您的问题似乎与scikit-learn无关，但与您的python安装有关。 Here，您可以找到可能的解决方案。祝你好运！

Answer 2

这既不是SK-Learn错误，也不是真正的python安装错误。这是因为您的matplotlib没有要绘制的后端。

您可以尝试在matplotlib密码文件中设置后端，

backend : WXAgg

并确保已安装wxPython。

您可以遍历这个问题You need to set your backend和此matplotlib文档，以进一步了解what is a backend

将kmeans与sklearn一起使用

2 个答案: