我有这样的代码从数据帧中去除空白
# create a dataframe with 3 columns
dataFrame = pd.DataFrame({
'Product Category': [' Computer', ' Mobile Phone', 'Electronics ', 'Appliances', ' Furniture', 'Stationery'],'Product Name': ['Keyboard', 'Charger', ' SmartTV', 'Refrigerators', ' Chairs', 'Diaries'],'Quantity': [10, 50, 10, 20, 25, 50]})
print ("Dataframe before removing whitespaces...n",dataFrame)
# removing whitespace from more than 1 column
dataFrame['Product Category'].str.strip()
dataFrame['Product Name'].str.strip()
# dataframe
print ("Dataframe after removing whitespaces...n",dataFrame)
删除空白之前的数据帧。。。
Product Category Product Name Quantity
0 Computer Keyboard 10
1 Mobile Phone Charger 50
2 Electronics SmartTV 10
3 Appliances Refrigerators 20
4 Furniture Chairs 25
5 Stationery Diaries 50
删除空白后的数据帧。。。
Product Category Product Name Quantity
0 Computer Keyboard 10
1 Mobile Phone Charger 50
2 Electronics SmartTV 10
3 Appliances Refrigerators 20
4 Furniture Chairs 25
5 Stationery Diaries 50
"后面的空白;Electronics";没有剥离。你知道我该怎么解决这个问题吗?
正如Umar所说,你需要做这样的事情:
# create a dataframe with 3 columns
dataFrame = pd.DataFrame({
'Product Category': [' Computer', ' Mobile Phone', 'Electronics ', 'Appliances', ' Furniture', 'Stationery'],'Product Name': ['Keyboard', 'Charger', ' SmartTV', 'Refrigerators', ' Chairs', 'Diaries'],'Quantity': [10, 50, 10, 20, 25, 50]})
print ("Dataframe before removing whitespaces...n",dataFrame)
# removing whitespace from more than 1 column
dataFrame['Product Category'] = dataFrame['Product Category'].str.strip()
dataFrame['Product Name'] = dataFrame['Product Name'].str.strip()
# dataframe
print ("Dataframe after removing whitespaces...n",dataFrame)