🔵 Data Science · Lesson 37
Pandas Series और DataFrame
Pandas Series और DataFrame क्या है?
Pandas Series और DataFrame ka matlab hai: Pandas provides Series and DataFrame for handling tabular data like Excel sheets and CSV files. Simple words me, ye topic practical Python programs likhne me direct use hota hai.
Is topic ko sirf definition ke liye nahi, balki reading CSV/Excel data jaise real examples ke liye practice karein.
यह क्यों सीखना जरूरी है?
- Ye reading CSV/Excel data me kaam aata hai.
- Ye handling result tables se bhi connected hai.
- Isse aap code ka output aur errors better samajh paate hain.
Important Terms
| Term | Meaning |
|---|---|
| Series | One-dimensional labeled data structure in pandas. |
| DataFrame | Two-dimensional table structure in pandas. |
| columns | columns is an important term in this topic. |
| rows | rows is an important term in this topic. |
| head() | head() is an important term in this topic. |
Syntax / Basic Pattern
Basic idea: pehle data तैयार करें, phir Python logic apply करें, aur finally result display करें.
Basic Pattern
import pandas as pd
df = pd.DataFrame({
"Student": ["Aarav", "Riya", "Kabir"],
"Marks": [82, 94, 76]
})
print(df)
print("Average:", df["Marks"].mean())Complete Example Program
Python – pandas-series-dataframe.py
import pandas as pd
df = pd.DataFrame({
"Student": ["Aarav", "Riya", "Kabir"],
"Marks": [82, 94, 76]
})
print(df)
print("Average:", df["Marks"].mean())Expected Output
Student Marks
0 Aarav 82
1 Riya 94
2 Kabir 76
Average: 84.0
Program Explanation
import pandas as pdimports ready-made features from a module/library.df = pd.DataFrame({stores a value in df."Student": ["Aarav", "Riya", "Kabir"],performs the next step of the program logic."Marks": [82, 94, 76]performs the next step of the program logic.})performs the next step of the program logic.print(df)displays information or calculated result on the screen.print("Average:", df["Marks"].mean())displays information or calculated result on the screen.
Practical Uses
- Reading csv/excel data.
- Handling result tables.
- Building reports.
Common Mistakes
- Analysing data before checking missing values, duplicates and data types.
- Changing original data without keeping a clean copy.
- Creating charts without title, labels or explanation.
Practice Tasks
- Program ko
pandas-series-dataframe.pyfile me type karke run karein. - Values change karke output compare karein.
- reading CSV/Excel data par ek छोटा example banayen.
- Logic ko apne words me 5 lines me likhein.
सारांश
Pandas Series and DataFrame ko tab complete maanenge jab aap iska meaning, example, output aur practical use clearly explain kar saken.
💻 लाइव कोड एडिटर
इस पेज के प्रोग्राम यहीं तैयार हैं — चलाएँ, बदलें और सीखें। कुछ भी इंस्टॉल किए बिना।
OneCompiler द्वारा संचालित। कोड एडिटर में अपने आप आ जाता है — Run दबाकर आउटपुट देखें। अगर एडिटर न खुले तो नए टैब में खोलें.