Python - Dimension of Data Frame

Question

New to Python   In R  you can get the dimension of a matrix using dim         What is the corresponding function in Python Pandas for their data frame

User · Accepted Answer

df shape  where df is your DataFrame

User · Answer

Summary of all ways to get info on dimensions of DataFrame or Series  There are a number of ways to get information on the attributes of your DataFrame or Series   Create Sample DataFrame and Series  df   pd DataFrame   a   5  2  np nan    b    9  2  4    df       a  b 0  5 0  9 1  2 0  2 2  NaN  4  s   df  a   s  0    5 0 1    2 0 2    NaN Name  a  dtype  float64   shape Attribute  The shape attribute returns a two-item tuple of the number of rows and the number of columns in the DataFrame  For a Series  it returns a one-item tuple   df shape  3  2   s shape  3       len function  To get the number of rows of a DataFrame or get the length of a Series  use the len function  An integer will be returned   len df  3  len s  3     size attribute  To get the total number of elements in the DataFrame or Series  use the size attribute  For DataFrames  this is the product of the number of rows and the number of columns  For a Series  this will be equivalent to the len function   df size 6  s size 3     ndim attribute  The ndim attribute returns the number of dimensions of your DataFrame or Series  It will always be 2 for DataFrames and 1 for Series   df ndim 2  s ndim 1     The tricky count method  The count method can be used to return the number of non-missing values for each column row of the DataFrame  This can be very confusing  because most people normally think of count as just the length of each row  which it is not  When called on a DataFrame  a Series is returned with the column names in the index and the number of non-missing values as the values   df count     by default  get the count of each column  a    2 b    3 dtype  int64   df count axis  columns     change direction to get count of each row  0    2 1    2 2    1 dtype  int64   For a Series  there is only one axis for computation and so it just returns a scalar   s count   2     Use the info method for retrieving metadata  The info method returns the number of non-missing values and data types of each column  df info     lt class  pandas core frame DataFrame  gt  RangeIndex  3 entries  0 to 2 Data columns  total 2 columns   a    2 non-null float64 b    3 non-null int64 dtypes  float64 1   int64 1  memory usage  128 0 bytes

[python] Python - Dimension of Data Frame

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