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In [1]:

    
# https://plot.ly/python/anova/

import plotly as py
import plotly.graph_objs as go
import plotly.figure_factory as ff

import numpy as np
import pandas as pd
import scipy

import statsmodels
import statsmodels.api as sm
from statsmodels.formula.api import ols

import warnings
warnings.filterwarnings("ignore", message="numpy.dtype size changed")
warnings.filterwarnings("ignore", message="numpy.ufunc size changed")

py.offline.init_notebook_mode(connected=True)



In [3]:

    
# 拉取数据
moore_dataset = sm.datasets.get_rdataset("Moore", "carData", cache=True)
print(moore_dataset.__doc__)
moore_df = moore_dataset.data
moore_df.rename(columns={"partner.status":"partner_status"}, inplace=True)
moore_df.head(n=10)









    



+-------+-----------------+
| Moore | R Documentation |
+-------+-----------------+

Status, Authoritarianism, and Conformity
----------------------------------------

Description
~~~~~~~~~~~

The ``Moore`` data frame has 45 rows and 4 columns. The data are for
subjects in a social-psychological experiment, who were faced with
manipulated disagreement from a partner of either of low or high status.
The subjects could either conform to the partner's judgment or stick
with their own judgment.

Usage
~~~~~

::

   Moore

Format
~~~~~~

This data frame contains the following columns:

partner.status
   Partner's status. A factor with levels: ``high``, ``low``.

conformity
   Number of conforming responses in 40 critical trials.

fcategory
   F-Scale Categorized. A factor with levels (note levels out of order):
   ``high``, ``low``, ``medium``.

fscore
   Authoritarianism: F-Scale score.

Source
~~~~~~

Moore, J. C., Jr. and Krupat, E. (1971) Relationship between source
status, authoritarianism and conformity in a social setting.
*Sociometry* **34**, 122–134.

Personal communication from J. Moore, Department of Sociology, York
University.

References
~~~~~~~~~~

Fox, J. (2008) *Applied Regression Analysis and Generalized Linear
Models*, Second Edition. Sage.

Fox, J. and Weisberg, S. (2011) *An R Companion to Applied Regression*,
Second Edition, Sage.







    Out[3]:







  
    
      
      partner_status
      conformity
      fcategory
      fscore
    
  
  
    
      0
      low
      8
      low
      37
    
    
      1
      low
      4
      high
      57
    
    
      2
      low
      8
      high
      65
    
    
      3
      low
      7
      low
      20
    
    
      4
      low
      10
      low
      36
    
    
      5
      low
      6
      low
      18
    
    
      6
      low
      12
      medium
      51
    
    
      7
      low
      4
      medium
      44
    
    
      8
      low
      13
      low
      31
    
    
      9
      low
      12
      low
      36



In [4]:

    
print("hhelo")









    



hhelo



In [5]:

    
dirs = {"aa": "bb"}

print(dirs)









    



{'aa': 'bb'}

	partner_status	conformity	fcategory	fscore
0	low	8	low	37
1	low	4	high	57
2	low	8	high	65
3	low	7	low	20
4	low	10	low	36
5	low	6	low	18
6	low	12	medium	51
7	low	4	medium	44
8	low	13	low	31
9	low	12	low	36