Pandas Data Frames In Hindi – Python Pandas DataFrames Ek Tarah Ki Table Me Columns And Rows Ki Tarah Hota Hai, Ise Ham DataFamess Bhi Kahte Hai |
Python Pandas Me Two Types Ke Data Type Hoti hai, Ek Series And Dusri Yani Ke Second Data Frame, Inhe Ham Is Tarah Se Bhi Kahte Hai Ki, Series 1-D Array Hoti hai, And Data Frame 2-D Array Hoti Hai |
Pandas Data Frames In Hindi
Contents
Is Post Me Ham Pandas DataFrame Ke Examples Ko Dekhte Wale Hai, Or Ye Bhi Dekhte Hai, Ki Ham Pandas DataFrames Se Kiya Kiya Kar Sakte hai |
Example 1:
import pandas as pd a = [[1, 2, 3],[4,5,6]] myvar = pd.DataFrame(a) print(myvar)
Aap Upper Dekh Sakte Hai, Hamne a Variable Me Ek List Ke Ander 2 List Ko Create Kiya Hai, And Uske Bad Hamne pd.DataFrame(a) Ko Assign Kiya Hai, Isse Hamari DataFrame Create Ho Gayi Hai |
Output:
0 1 2 0 1 2 3 1 4 5 6
Example 2:
import pandas as pd a = [[1, 2, 3],[4,5,6]] myvar = pd.DataFrame(a, index = ["One R","Two R"]) myvar.columns =['One C', 'Two C', 'Three C'] print(myvar)
Ham index function And columns Functions Ki Help Se Index , Column Bhi Aapni Marzi Ke Hisab Se De Sakte Hai, Aap Example 2: Ka Output Niche Dekh Sakte Hai |
Output:
One C Two C Three C One R 1 2 3 Two R 4 5 6
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Pandas Loc Function In Hindi
Pandas loc Functions Se Ham Particular Row Ko Print Ya Fir Etc.. Bhi Kara Sakte Hai, And Ye Function Return Me Ek Row Deta Hai,Iske Ham Kuch Examples Ko Dekhte Hai |
Example 1:
import pandas as pd a = [[1, 2, 3],[4,5,6]] myvar = pd.DataFrame(a, index = ["One R","Two R"]) myvar.columns =['One C', 'Two C', 'Three C'] print(myvar) print("------------------------") print(myvar.loc['One R'])
myvar.loc[‘One R’] Me Hamne Ek Row Ko Print Kara Rahe Hai, Or Dhiyan Rahe Jab Ye Row Ko Print Karta Hai, To Ye Series Ho jati hai |
Output:
One C Two C Three C One R 1 2 3 Two R 4 5 6 ------------------------ One C 1 Two C 2 Three C 3 Name: One R, dtype: int64
Example 2:
import pandas as pd a = [[1, 2, 3],[4,5,6]] myvar = pd.DataFrame(a, index = ["One R","Two R"]) myvar.columns =['One C', 'Two C', 'Three C'] print(myvar) print("------------------------") print(myvar.loc['One R','One C'])
Aap Row Ko Column Ki Help Se DataFrame Me Se Koi Bhi Particular Number Print Kara Sakte Hai, Jaise Aap Is Example 2 Me Dekh Rahe Hai, Iska Output Aap Niche Dekh Sakte Hai |
Output:
One C Two C Three C One R 1 2 3 Two R 4 5 6 ------------------------ 1
Example 3:
import pandas as pd a = [[1, 2, 3],[4,5,6]] myvar = pd.DataFrame(a, index = ["One R","Two R"]) myvar.columns =['One C', 'Two C', 'Three C'] print(myvar) print("------------------------") print(myvar.loc[['One R','Two R']])
Aap [[DataFrame]] Me Multiple Rows Bhi Print Kara Sakte Hai,
Output:
One C Two C Three C One R 1 2 3 Two R 4 5 6 ------------------------ One C Two C Three C One R 1 2 3 Two R 4 5 6
Load Files Into a DataFrame In Pandas In Hindi
Agar Aapke Pass Excel Ya Fir CSV Etc.. Files Me Data Store Hai, To Aap Pandas Ki Help Se Data Ko Load Bhi Kara Sakte Hai, Uske Sath Aap Kuch Bhi Editing Kar Sakte Hai |
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Example 1:
import pandas as pd df = pd.read_csv('data.csv') print(df)
Output:
Duration Pulse Maxpulse Calories 0 60 110 130 409.1 1 60 117 145 479.0 2 60 103 135 340.0 3 45 109 175 282.4 4 45 117 148 406.0 .. ... ... ... ... 164 60 105 140 290.8 165 60 110 145 300.4 166 60 115 145 310.2 167 75 120 150 320.4 168 75 125 150 330.4 [169 rows x 4 columns]
Example 2:
import pandas as pd df = pd.read_csv('data.csv') print(df.info())
info() Function Ki Help Se Data Ki Information Le Sakte Hai |
Output:
<class 'pandas.core.frame.DataFrame'> RangeIndex: 169 entries, 0 to 168 Data columns (total 4 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Duration 169 non-null int64 1 Pulse 169 non-null int64 2 Maxpulse 169 non-null int64 3 Calories 164 non-null float64 dtypes: float64(1), int64(3) memory usage: 5.4 KB None