Summary of index operations in pandas

1、 Operation index
df[‘name’],name Is the column name
2、 Row index operation

• .loc Tag Index 【df.loc[‘name’],name Is the row name 】
• .iloc Location index 【df.iloc[‘index’],index Is the value 】
  3、 Boolean mask
  

# Generate a list of Boolean values based on filter criteria , That is... In the picture Boolean mask part 
filter_condition = df['language'].str.contains('English')
# Display the results that meet the conditions according to the Boolean value list 
df[filter_condition]

Examples of simple Boolean mask operations we use everyday ：

# select rank The top 10 Result 
df[df['rank']<=10]