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How To Convert DataType Of The Columns In DataFrame?
How To Convert DataType Of The Columns In DataFrame? Table Of Contents: Syntax To Convert DataType. Examples Of Converting DataType. (1) Syntax: DataFrame.astype(dtype, copy=True, errors=’raise’) Description: Cast a pandas object to a specified Data Type. Parameters: dtype: Use a numpy.dtype or Python type to cast the entire pandas object to the same type. Alternatively, use {col: dtype, …}, where col is a column label and dtype is a numpy.dtype or Python type to cast one or more of the DataFrame’s columns to column-specific types. copy: bool, default True – Return a copy when copy=True (be very careful setting copy=False as changes to values then
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How To Get Memory Usages Of Each Columns In DataFrame?
How To Get Memory Usages Of Each Columns In DataFrame? Table Of Contents: Syntax To Get Memory Usages Of Data Frame. Examples Of Memory Usages. (1) Syntax: pandas.DataFrame.memory_usage Description: Return the memory usage of each column in bytes Parameters: index: bool, default True – Specifies whether to include the memory usage of the DataFrame’s index in returned Series. If index=True, the memory usage of the index is the first item in the output. deep: bool, default False- If True, introspect the data deeply by interrogating object dtypes for system-level memory consumption, and include it in the returned values. Returns: Series: A Series whose
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How To Get The Shape Of A DataFrame?
How To Get The Shape Of A DataFrame? Table Of Contents: Syntax To Get Shape Of Data Frame. Examples Of Getting Shape. (1) Syntax: pandas.DataFrame.shape Description: Return a tuple representing the dimensionality of the DataFrame. (2) Examples Of Columns : Example-1 import pandas as pd student = {‘Name’:[‘Subrat’,’Abhispa’,’Arpita’,’Anuradha’,’Namita’], ‘Roll_No’:[100,101,102,103,104], ‘Subject’:[‘Math’,’English’,’Science’,’History’,’Commerce’], ‘Mark’:[95,88,76,73,93]} student_object = pd.DataFrame(student) student_object Output: student_object.shape Output: (5, 4) Note: ‘5’ Represents the number of rows of a DataFrame. ‘4’ Represents the number of columns of the DataFrame. Example-2 import pandas as pd path = "E:BlogsPandasDocumentsMall_Customers.csv" customer_details = pd.read_csv(path) customer_details Output: customer_details.shape Output: (200, 6) Note: ‘200’ Represents the
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How To Get The Size Of A DataFrame?
How To Get The Size Of A DataFrame? Table Of Contents: Syntax To Get Size Of Data Frame. Examples Of Getting Size Of DataFrame. (1) Syntax: pandas.DataFrame.size Description: Return an int representing the number of elements in this object. Return the number of rows if Series. Otherwise, return the number of rows times the number of columns if DataFrame. (2) Examples Of Columns : Example-1 import pandas as pd student = {‘Name’:[‘Subrat’,’Abhispa’,’Arpita’,’Anuradha’,’Namita’], ‘Roll_No’:[100,101,102,103,104], ‘Subject’:[‘Math’,’English’,’Science’,’History’,’Commerce’], ‘Mark’:[95,88,76,73,93]} student_object = pd.DataFrame(student) student_object Output: student_object.size Output: 20 = 5 * 4 Example-1 s = pd.Series({‘a’: 1, ‘b’: 2, ‘c’: 3}) s Output: a
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How To Get The Dimension Of A DataFrame?
How To Get The Dimension Of A DataFrame? Table Of Contents: Syntax To Print Dimension Of Data Frame. Examples Of Printing Dimension. (1) Syntax: property DataFrame.ndim Description: Return an int representing the number of axes / array dimensions. Return 1 if Series. Otherwise return 2 if DataFrame. (2) Examples Of Columns : Example-1 s = pd.Series({‘a’: 1, ‘b’: 2, ‘c’: 3}) s.ndim Output: 1 Example-2 df = pd.DataFrame({‘col1’: [1, 2], ‘col2’: [3, 4]}) df Output: df.ndim Output: 2
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How To Display Only Row and Column Labels Of A DataFrame?
How To Display Only Row and Column Labels Of A DataFrame? Table Of Contents: Syntax To Display Only Row and Columns Of Data Frame. Examples Of Displaying Only Rows and Columns. (1) Syntax: pandas.DataFrame.axes Description: Return a list representing the axes of the DataFrame. It has the row axis labels and column axis labels as the only members. They are returned in that order. (2) Examples Of Displaying Rows and Columns : Example-1 import pandas as pd student = {‘Name’:[‘Subrat’,’Abhispa’,’Arpita’,’Anuradha’,’Namita’], ‘Roll_No’:[100,101,102,103,104], ‘Subject’:[‘Math’,’English’,’Science’,’History’,’Commerce’], ‘Mark’:[95,88,76,73,93]} student_object = pd.DataFrame(student) student_object Output: student_object.axes Output: [RangeIndex(start=0, stop=5, step=1), Index([‘Name’, ‘Roll_No’, ‘Subject’, ‘Mark’], dtype=’object’)] Example-2 import
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How To Select Only Values Of A DataFrame?
How To Select Only Values Of A DataFrame? Table Of Contents: Syntax To Select Only Values Of A DataFrame. Examples Of Selecting Only Values. (1) Syntax: pandas.DataFrame.to_numpy() OR pandas.DataFrame.values Description: Only the values in the DataFrame will be returned, the axes labels will be removed. Returns: numpy.ndarray : The values of the DataFrame. (2) Examples Of Returning Only Values : Example-1 df = pd.DataFrame({‘age’: [ 3, 29], ‘height’: [94, 170], ‘weight’: [31, 115]}) df.to_numpy() Output: array([[ 3, 94, 31], [ 29, 170, 115]], dtype=int64) Example-2 df2 = pd.DataFrame([(‘parrot’, 24.0, ‘second’), (‘lion’, 80.5, 1), (‘monkey’, np.nan, None)], columns=(‘name’, ‘max_speed’, ‘rank’)) df2.to_numpy()
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How To Select Specific Data Type Columns?
How To Select Specific Data Type Columns? Table Of Contents: Syntax To Select Specific DataType Columns. Examples Of Selecting Specific DataTypes. (1) Syntax: DataFrame.select_dtypes(include=None, exclude=None) Description: This method prints information about a DataFrame including the index dtype and columns, non-null values and memory usage. Parameters: include, exclude: scalar or list-like – A selection of dtypes or strings to be included/excluded. At least one of these parameters must be supplied. Returns: DataFrame – The subset of the frame including the dtypes in include and excluding the dtypes in exclude. Raises: ValueError- If both of include and exclude are empty If include and exclude have overlapping elements If any kind of string
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How To Print Summary Of Your Data Frame?
How To Print Summary Of Your Data Frame? Table Of Contents: Syntax To Print Summary Of Data Frame. Examples Of Printing Summary. (1) Syntax: DataFrame.info(verbose=None, buf=None, max_cols=None, memory_usage=None, show_counts=None) Description: This method prints information about a DataFrame including the index dtype and columns, non-null values and memory usage.. Parameters: verbose: bool, optional – Whether to print the full summary. buf: writable buffer, defaults to sys.stdout – Where to send the output. By default, the output is printed to sys.stdout. memory_usage: bool, str, optional – Specifies whether total memory usage of the DataFrame elements (including the index) should be displayed. show_counts:
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How To Get The DataTypes Of Columns Of A DataFrame?
How To Get The Data Types Of Columns Of A DataFrame? Table Of Contents: Syntax To Get The Data Types. Examples Of Getting Data Types. (1) Syntax pandas.DataFrame.dtypes pandas.DataFrame.dtypes.values Description: Return the dtypes of each columns of a DataFrame. (2) Examples Example-1 import pandas as pd student = {‘Name’:[‘Subrat’,’Abhispa’,’Arpita’,’Anuradha’,’Namita’], ‘Roll_No’:[100,101,102,103,104], ‘Subject’:[‘Math’,’English’,’Science’,’History’,’Commerce’], ‘Mark’:[95,88,76,73,93]} student_object = pd.DataFrame(student) student_object Output: student_object.dtypes Output: Name object Roll_No int64 Subject object Mark int64 dtype: object student_object.dtypes.values Output: array([dtype(‘O’), dtype(‘int64’), dtype(‘O’), dtype(‘int64’)], dtype=object) Example-2 import pandas as pd path = "E:BlogsPandasDocumentsMall_Customers.csv" customer_details = pd.read_csv(path) customer_details Output: customer_details.dtypes Output: CustomerID int64 Genre object Age int64 Annual_Income_(k$) int64 Spending_Score
