Post #1433

Essential Pandas Functions for Data Analysis Data Loading: pd.read_csv() - Load data from a CSV file. pd.read_excel() - Load data from an Excel file. Data Inspection: df.head(n) - View the first n rows. df.info() - Get a summary of the dataset. df.describe() - Generate summary statistics. Data Manipulation: df.drop(columns=['col1', 'col2']) - Remove specific columns. df.rename(columns={'old_name': 'new_name'}) - Rename columns. df['col'] = df['col'].apply(func) - Apply a function to a column. Filtering and Sorting: df[df['col'] > value] - Filter rows based on a condition. df.sort_values(by='col', ascending=True) - Sort rows by a column. Aggregation: df.groupby('col').sum() - Group data and compute the sum. df['col'].value_counts() - Count unique values in a column. Merging and Joining: pd.merge(df1, df2, on='key') - Merge two DataFrames. pd.concat([df1, df2]) - Concatenate Here you can find essential Python Interview Resources👇 https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Like this post for more resources like this 👍♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)