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13)How to rename the column name in excel using pandas

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Hello, everyone! Welcome back to My Channel Learn Now from your learning partner.In this Video, we will be learning on how to rename a column in an existing data file and save it as a new file in Excel using Pandas. Before we start if your are new to Python don't worry, We will explain everything you need to know so please watch our playlist mention above, and don't forget to subscribe to our channel so that you don’t miss out your learning.To access our Excel file, simply double-click on it and it will automatically open with Microsoft Office. As you can observe, the file is already open and displays data where we have and Multiple column and we will be renaming department Column to General in our existing data. So let start with python
import pandas as pd
import numpy as np
#Python Pandas;#Data Analysis;#Data Manipulation;#Data Cleaning;#Data Wrangling;#Data Transformation;#Data Filtering;#Data Sorting;#Data Aggregation;#Data Visualization;#Data Exploration;#Data Processing;#DataFrame;#Series;#Indexing;#Selecting Data;#Data Structures;#Data Reshaping;#Missing Data;#Data Merging;#Data Joining;#Data Concatenation;#Data Grouping;#Data Pivot;#Data Melting;#Data Stacking;#Data Unstacking;#Data Splitting;#Data Summarization;#Time Series;#DateTime Operations;#Data Analysis Tools;#Data Cleaning Techniques;#Data Transformation Methods;#Data Filtering Methods;#Data Sorting Algorithms;#Data Aggregation Functions;#Data Visualization Tools;#Data Exploration Techniques;#Data Processing Functions;#Data I/O;#Reading Data;#Writing Data;#CSV;#Excel;#SQL;#JSON;#HDF5;#SQL Database;#Data Cleaning Strategies;#Data Imputation;#Data Validation;#Data Normalization;#Data Scaling;#Data Encoding;#Data Categorization;#Data Visualization Libraries;#Matplotlib;#Seaborn;#Plotly;#Bokeh;#Data Analysis Libraries;#NumPy;#Scikit-Learn;#Statsmodels;#Time Series Analysis;#Financial Data Analysis;#Data Aggregation Techniques;#Groupby;#Resampling;#Rolling Statistics;#Window Functions;#MultiIndex;#Data Slicing;#Data Dicing;#Data Filtering Techniques;#Boolean Indexing;#Querying Data;#Data Sorting Methods;#Data Visualization Techniques;#Box Plots;#Histograms;#Scatter Plots;#Bar Charts;#Line Plots;#Heatmaps;#Pair Plots;#Time Series Plots;#Data Exploration Functions;#Summary Statistics;#Correlation Analysis;#Data Sampling;#Data Splitting Techniques;#Cross-Validation;#Train-Test Split;#Data Normalization Methods;#Data Scaling Techniques;#Categorical Data Handling;#Data Encoding Methods;#Data Analysis Best Practices
import pandas as pd
import numpy as np
#Python Pandas;#Data Analysis;#Data Manipulation;#Data Cleaning;#Data Wrangling;#Data Transformation;#Data Filtering;#Data Sorting;#Data Aggregation;#Data Visualization;#Data Exploration;#Data Processing;#DataFrame;#Series;#Indexing;#Selecting Data;#Data Structures;#Data Reshaping;#Missing Data;#Data Merging;#Data Joining;#Data Concatenation;#Data Grouping;#Data Pivot;#Data Melting;#Data Stacking;#Data Unstacking;#Data Splitting;#Data Summarization;#Time Series;#DateTime Operations;#Data Analysis Tools;#Data Cleaning Techniques;#Data Transformation Methods;#Data Filtering Methods;#Data Sorting Algorithms;#Data Aggregation Functions;#Data Visualization Tools;#Data Exploration Techniques;#Data Processing Functions;#Data I/O;#Reading Data;#Writing Data;#CSV;#Excel;#SQL;#JSON;#HDF5;#SQL Database;#Data Cleaning Strategies;#Data Imputation;#Data Validation;#Data Normalization;#Data Scaling;#Data Encoding;#Data Categorization;#Data Visualization Libraries;#Matplotlib;#Seaborn;#Plotly;#Bokeh;#Data Analysis Libraries;#NumPy;#Scikit-Learn;#Statsmodels;#Time Series Analysis;#Financial Data Analysis;#Data Aggregation Techniques;#Groupby;#Resampling;#Rolling Statistics;#Window Functions;#MultiIndex;#Data Slicing;#Data Dicing;#Data Filtering Techniques;#Boolean Indexing;#Querying Data;#Data Sorting Methods;#Data Visualization Techniques;#Box Plots;#Histograms;#Scatter Plots;#Bar Charts;#Line Plots;#Heatmaps;#Pair Plots;#Time Series Plots;#Data Exploration Functions;#Summary Statistics;#Correlation Analysis;#Data Sampling;#Data Splitting Techniques;#Cross-Validation;#Train-Test Split;#Data Normalization Methods;#Data Scaling Techniques;#Categorical Data Handling;#Data Encoding Methods;#Data Analysis Best Practices