Delete several rows of data that meet certain conditions

The essential:

#删除month字段中内容是'1/','2/','6/','7/','8/','9/','10','11','12'的行 
data=data[~(data['month'].isin(['1/','2/','6/','7/','8/','9/','10','11','12']))]
#仅删除字段名为month的一整列数据
data=data.drop(['month'],axis=1)
import pandas as pd
import numpy as np

#导入数据
#data = pd.read_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output(12120).csv')
#data = pd.read_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_cnn(12120).csv')
#data = pd.read_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_cnnlstm(12120).csv')
data = pd.read_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_lstm(12120).csv')
#筛选季节
data=data[~(data['month'].isin(['1/','2/','6/','7/','8/','9/','10','11','12']))]#春
#data=data[~(data['month'].isin(['1/','2/','3/','4/','5/','9/','10','11','12']))]#夏
#data=data[~(data['month'].isin(['1/','2/','3/','4/','5/','6/','7/','8/','12']))]#秋
#data=data[~(data['month'].isin(['3/','4/','5/','6/','7/','8/','9/','10','11']))]#冬
data=data.drop(['month'],axis=1)
#保存结果
#data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output(12120)春.csv',index=False)
#data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output(12120)夏.csv',index=False)
#data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output(12120)秋.csv',index=False)
#data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output(12120)冬.csv',index=False)

#data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_cnn(12120)春.csv',index=False)
#data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_cnn(12120)夏.csv',index=False)
#data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_cnn(12120)秋.csv',index=False)
#data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_cnn(12120)冬.csv',index=False)

#data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_cnnlstm(12120)春.csv',index=False)
# #data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_cnnlstm(12120)夏.csv',index=False)
# #data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_cnnlstm(12120)秋.csv',index=False)
# # data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_cnnlstm(12120)冬.csv',index=False)

data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_lstm(12120)春.csv',index=False)
#data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_lstm(12120)夏.csv',index=False)
#data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_lstm(12120)秋.csv',index=False)
#data.to_csv('D:\\work\\RS\\test\\20200927\\分季节训练数据数据\\output_lstm(12120)冬.csv',index=False)

Reference: https://www.cnblogs.com/dataAnalysis/p/9487774.html

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Origin blog.csdn.net/ch206265/article/details/109063616