Question

是否可以结合使用plotly distplot：

import plotly.plotly as py
import plotly.figure_factory as ff

import numpy as np

# Add histogram data
x1 = np.random.randn(200)-2  
x2 = np.random.randn(200)  
x3 = np.random.randn(200)+2  
x4 = np.random.randn(200)+4  

# Group data together
hist_data = [x1, x2, x3, x4]

group_labels = ['Group 1', 'Group 2', 'Group 3', 'Group 4']

# Create distplot with custom bin_size
fig = ff.create_distplot(hist_data, group_labels, bin_size=.2)

# Plot!
py.iplot(fig, filename='Distplot with Multiple Datasets')

使用plotly facet plots按行/列组进行直方图绘制（例如ggplot facet_grid？-我知道python的ggplot，但不是很必要）：

import plotly.plotly as py
import plotly.figure_factory as ff

import pandas as pd
mpg = pd.read_table('https://raw.githubusercontent.com/plotly/datasets/master/mpg_2017.txt')

fig = ff.create_facet_grid(
    mpg,
    x='displ',
    y='cty',
    facet_row='cyl',
    facet_col='drv',
    marker={'color': 'rgb(234, 239, 155)'},
)

py.iplot(fig, filename='facet by row and col')

我希望能够使用DF，而不是手动拆分行/列单元格的所有组合，例如分为两个类别：

df = pd.DataFrame({'x': np.random.randn(200),
                   'cat1': ["a"]*100 + ["b"]*100,
                    'cat2': ["c"]*50 + ["d"]*50 + ["e"]*50 + ["f"]*50 })

ggplot(df, aes(x='x')) +\
    geom_density(alpha=1 ) +\
    facet_grid("cat1","cat2") + theme_bw()

刻面distplot的构面网格？

0 个答案: