data=list/tuple

data=ndarray

data=dict

data=value

data

index

name

dtype

shape

size

index

values

head(x)

tail(x)

Key: column name

Value: specific data (list/tuple)

Key: column name

Value: Series

Each dictionary is a row of data

A Series generates a DataFrame with only one column

data

index

columns

dtype

pd.DataFrame.from_dict(dict)

pd.DataFrame.from_records(list\dict darray)

pd.json_normalize(df.col)

pd.col.apply(pd.Series)

Use the info method to get df information

Use the dtypes attribute to get the type of data in each column of df

Use the shape attribute to get the number of rows and columns of df

Use the len function to get the number of rows and columns of df

Use the index attribute to get the row index label of df

Use the columns attribute to get the column index label of df

Use the values ​​attribute to get the value of df

Use the head method to get the first n rows of data, default n=5

Use the tail method to obtain the last n rows of data, default n=5

Use the describe method to obtain the descriptive statistics of each column of df data.