Pandas commonly used functions and methods

Function or method	Description
Series	Construct sequence type object
DataFrame	Construct a data frame type object
read_table	Function to read text files, support txt, csv and other formats
read_csv	Function to read text files, support txt, csv and other formats
read_excel	Read spreadsheet
read_sql	Function to read database data
head/tail	Display the first/last rows of data in the data frame
shape	Returns the number of rows and columns of the data frame
dtypes	Return the data type of each variable in the data frame
to_datetime	Convert variable to date time type
astype	Convert variables to other types
describe	Statistical description
colums	Return data frame variable name
index	Return data frame index
apply	Mapping a sequence or data frame
value_counts	Statistical sequence value frequency
reset_index	Convert row index to variable
duplicated	Test whether observations are repeated
drop_duplicates	Delete duplicates
drop	Delete variable name or observation
drop	Remove missing values
fillna	Fill in missing values
quantile	Statistical series quantile
plot	Plot sequence and data block diagrams
iloc / loc / ix	Data frame subset acquisition
pivot_table	Build a pivot table
concat	Realize vertical merging of multiple tables
merge	Achieve two-meter level expansion
groupby	When grouping aggregation, specify grouping variables
aggregate	Specify aggregate statistics
rename	Modify the data frame variable name