- It is a two dimentional data structure
- It is represented in tabular format
- It consists of row index and column index
- df.columns, denotes about columns
- df.index, denotes about rows
- Lists
- Dictionaries
- Series
- Numpyndarrays
- Create one Dataframe to another
- If data represents to list we need to mention the column headers, whereas data is in form of DICTIONARY, KEY value is conidered as column Headers
- click on below mentioned image to download:
Data Frames in Pandas - 2D Array
Structure of Data Frame:
Source to create DataFrames:
DataFreame sysntax:
Data Frames with Dictionaries
Craete Dataframe without providing values to Index
Craete Dataframe after providing values to Index
Row index and column Headers
Retrieve all the values\rows
Retrieve all the values\rows
Row slicing
Row slicing - multiple rows
Row slicing - all rows
Dataframe - column slicing - single column
Dataframe - Delete a column
Dataframe - row slicing and column slicing
Dataframe - Apply condition on a column
Dataframe - Transpose
Dataframe - Add new column with insufficient data
import pandas as pd
import numpy as np
df = pd.DataFrame([5,6], index = ['apple','banana'])
ser = pd.Series([15], index = ['apple'])
df['grapes']=ser
print(df)
Slice the Dataframe based on criteria
Pandas - Split the frame based on condition
Create Dataframe with multiple lists
Pandas_Create_Data_Frame_with_Nested_List
Pandas Download
Hi Welcome to Python Tutorial.
Thanks,
Pavan Kumar Gundlapalli