在较新版本的pandas中,pandas.tools.plotting模块已经被移除或更改位置。这意味着,如果你尝试使用from pandas.tools.plotting import scatter_matrix这样的导入方式,会遇到模块导入错误。 替代的导入路径或方法 在新版本的pandas中,scatter_matrix函数已经移动到了pandas.plotting模块下。因此,你应该使用以下路径来导入scatter...
用法: pandas.plotting.scatter_matrix(frame, alpha=0.5, figsize=None, ax=None, grid=False, diagonal='hist', marker='.', density_kwds=None, hist_kwds=None, range_padding=0.05, **kwargs) 绘制散点图矩阵。 参数: frame:DataFrame alpha:浮点数,可选 应用的透明度量。 figsize:(浮点数,浮点数),...
1pd.tools.plotting.scatter_matrix(iris); 1plt.figure()2pd.tools.plotting.parallel_coordinates(iris,'Name');
You can use scatter_matrix in pandas.plotting to draw a scatter matrix chart: In [83]: from pandas.plotting import scatter_matrix In [84]: df = pd.DataFrame(np.random.randn(1000, 4), columns=["a", "b", "c", "d"]) In [85]: scatter_matrix(df, alpha=0.2, figsize=(6, 6),...
from pandas.plotting import scatter_matrix worked for me too. In fact this may be another lind of issue. For instance: from pandas.tools.plotting import autocorrelation_plot Throws an error:ModuleNotFoundError: No module named 'pandas.tools' ...
These functions can be imported from pandas.plotting and take a Series or DataFrame as an argument.Scatter matrix plotYou can create a scatter plot matrix using the scatter_matrix method in pandas.plotting:In [83]: from pandas.plotting import scatter_matrix In [84]: df = pd.DataFrame(np....
pd.plotting.scatter_matrix(data, figsize=(12,8)) 图6散射矩阵的例子,它绘制同一图表中两列的所有组合 pandas的高级功能 1、行列合并 在pandas中,行列合并非常简单。 data.merge(other_data, on=['column_1', 'column_2', 'column_3']) 合并3列只需要一行代码 2、分组 分组一开始并不简单,但是如果掌握...
import pandas as pd import numpy as np import matplotlib.pyplot as plt from pandas.plotting import autocorrelation_plot import seaborn as sns from pandas.plotting import scatter_matrix from pandas.plotting import autocorrelation_plot from pandas.plotting import parallel_coordinates from pandas.plotting imp...
import numpy as np import pandas from pandas.tools.plotting import scatter_matrix import matplotlib.pyplot as plt plt.figure() data = pandas.read_csv('energydata_complete.csv') scatter_matrix(data) plt.show() and, we can get a graph like this:编辑...
import pandas as pd import matplotlib.pyplot as plt from pandas.plotting import scatter_matrix # Load a sample dataset iris = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv') # Create a pair plot scatter_matrix(iris, figsize=(10, 10), diagonal='kde'...