Python 从熊猫中的数据框列中删除空间
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Removing space from dataframe columns in pandas
提问by SAM244776
I am trying to remove spaces from a dataframe I have. The columns names look like below. I am trying to get the spaces between name out and replace it with "_" wherever present.
我正在尝试从我拥有的数据框中删除空格。列名称如下所示。我试图去掉名字之间的空格，并在任何地方用“_”替换它。
['join_date' 'fiscal_quarter' 'fiscal_year' 'primary_channel'
'secondary_channel' 'customer_count' 'new_members' 'revisit_next_day'
'revisit_14_day' 'demand_1yr' 'revisit_next_day_rate'
'revisit_14_day_rate' 'demand_1yr_per_new_member' u'ch_Ad Network'
u'ch_Affiliate' u'ch_Branded SEM' u'ch_DSP' u'ch_Daily Email'
u'ch_Daily Messaging' u'ch_Direct' u'ch_Direct Publisher' u'ch_Email'
u'ch_Feeds' u'ch_Native' u'ch_Non-Branded SEM' u'ch_Organic Search'
u'ch_Paid Social' u'ch_Site' u'ch_Special Email' u'ch_Television'
u'ch_Trigger Email' u'ch_UNMAPPED' u'ch_Unpaid Social' u'quarter_Q2'
u'quarter_Q3' u'quarter_Q4']
回答by Psidom
- To remove white spaces:
- 要删除空格：
1) To remove white space everywhere:
1）要删除无处不在的空白：
df.columns = df.columns.str.replace(' ', '')
2) To remove white space at the beginning of string:
2）删除字符串开头的空格：
df.columns = df.columns.str.lstrip()
3) To remove white space at the end of string:
3）删除字符串末尾的空格：
df.columns = df.columns.str.rstrip()
4) To remove white space at both ends:
4）去除两端的空白：
df.columns = df.columns.str.strip()
- To replace white spaces with other characters(underscore for instance):
- 用其他字符替换空格（例如下划线）：
5) To replace white space everywhere
5）到处替换空白
df.columns = df.columns.str.replace(' ', '_')
6) To replace white space at the beginning:
6) 替换开头的空格：
df.columns = df.columns.str.replace('^ +', '_')
7) To replace white space at the end:
7) 替换末尾的空格：
df.columns = df.columns.str.replace(' +$', '_')
8) To replace white space at both ends:
8) 替换两端的空格：
df.columns = df.columns.str.replace('^ +| +$', '_')
All above applies to a specific column as well, assume you have a column named col, then just do:
以上所有内容也适用于特定列，假设您有一个名为 的列col，然后执行以下操作：
df[col] = df[col].str.strip() # or .replace as above
