小编Ina*_*nam的帖子

我从这样的csv文件中获取了一些行

pd.DataFrame(CV_data.take(5), columns=CV_data.columns) 

并在其上执行了一些功能.现在我想再次将它保存在csv中,但它正在给出错误module 'pandas' has no attribute 'to_csv' 我试图像这样保存它

pd.to_csv(CV_data, sep='\t', encoding='utf-8') 

这是我的完整代码.如何在csv或excel中保存结果数据？

   # Disable warnings, set Matplotlib inline plotting and load Pandas package
import warnings
warnings.filterwarnings('ignore')

%matplotlib inline
import pandas as pd
pd.options.display.mpl_style = 'default' 

CV_data = sqlContext.read.load('Downloads/data/churn-bigml-80.csv', 
                          format='com.databricks.spark.csv', 
                          header='true', 
                          inferSchema='true')

final_test_data = sqlContext.read.load('Downloads/data/churn-bigml-20.csv', 
                          format='com.databricks.spark.csv', 
                          header='true', 
                          inferSchema='true')
CV_data.cache()
CV_data.printSchema() 

pd.DataFrame(CV_data.take(5), columns=CV_data.columns) 

from pyspark.sql.types import DoubleType
from pyspark.sql.functions import UserDefinedFunction

binary_map = {'Yes':1.0, 'No':0.0, True:1.0, False:0.0} 
toNum = UserDefinedFunction(lambda k: binary_map[k], DoubleType())

CV_data = CV_data.drop('State').drop('Area code') \
    .drop('Total …