You can try this regardless of the number of rows
df = pd.read_csv('data.csv', index_col=0)
Top answer 1 of 4
110
You can try this regardless of the number of rows
df = pd.read_csv('data.csv', index_col=0)
2 of 4
48
Making the first (or n-th) column the index in increasing order of verboseness:
df.set_index(list(df)[0])
df.set_index(df.columns[0])
df.set_index(df.columns.tolist()[0])
Making the first (or n-th) row the index:
df.set_index(df.iloc[0].values)
You can use both if you want a multi-level index:
df.set_index([df.iloc[0], df.columns[0]])
Observe that using a column as index will automatically drop it as column. Using a row as index is just a copy operation and won't drop the row from the DataFrame.
GeeksforGeeks
geeksforgeeks.org › python › set-the-first-column-and-row-as-index-in-pandas
Set the First Column and Row as Index in Pandas - GeeksforGeeks
July 23, 2025 - Original DataFrame: 0 1 2 3 0 Name Alice Bob Charlie 1 Age 25 30 35 2 City New York San Francisco Los Angeles DataFrame after removing the first row (header) and setting 'Name' column as index: 0 Alice Bob Charlie Name Age 25 30 35 City New York San Francisco Los Angeles · You can also set the index and column names using custom lists. Here's an example: ... import pandas as pd # Create a sample DataFrame data = {'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]} df = pd.DataFrame(data) print("Original DataFrame") print(df) # Define row and column labels row_labels = ['Row1', 'Row2', 'Row3'] col_labels = ['ColA', 'ColB', 'ColC'] # Set the index and columns using the lists df.index = row_labels df.columns = col_labels # Display the DataFrame print("\nDataFrame with custom row and column labels:") print(df)
python - Could pandas use column as index? - Stack Overflow
And if you no longer want the Locality column as a column, you can just drop it ... | 2005 | 2006 | 2007 | 2008 | 2009 Locality |------------------------------------------- ABBOTSFORD | 427000 | 448000 | 602500 | 600000 | 638500 ABERFELDIE | 534000 | 448000 | 602500 | 710000 | 775000 AIREYS INLET | 459000 | 448000 | 602500 | 517500 | 512500 ... You can set the column index using index_col parameter available while reading from spreadsheet in Pandas... More on stackoverflow.com
Is there a way to address Pandas dataframe by column index instead of name?
# get the 1st entry of the 5th column result=df.iat[0,4] # Then check if it's a string isinstance(result,str) https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.iat.html More on reddit.com
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December 12, 2020Converting part of pandas dataframe to dictionary.
my_dataframe.to_dict(orient=list)
http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_dict.html
More on reddit.com 14
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December 16, 2016[Help] Pandas to ignore first line and use 2nd as index
Check the docs on the parameters of read_csv: skiprows : list-like or integer or callable, default None Line numbers to skip (0-indexed) or number of lines to skip (int) at the start of the file. in case skipping the first line using that parameter doesn't get the header row to be parsed correctly (I think it should, but just in case), you also have the header parameter header : int or list of ints, default ‘infer’ Row number(s) to use as the column names, and the start of the data. Default behavior is to infer the column names: if no names are passed the behavior is identical to header=0 and column names are inferred from the first line of the file, if column names are passed explicitly then the behavior is identical to header=None. Explicitly pass header=0 to be able to replace existing names. The header can be a list of integers that specify row locations for a multi-index on the columns e.g. [0,1,3]. Intervening rows that are not specified will be skipped (e.g. 2 in this example is skipped). Note that this parameter ignores commented lines and empty lines if skip_blank_lines=True, so header=0 denotes the first line of data rather than the first line of the file. More on reddit.com
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October 19, 2018Videos
07:08
Indexing, Selecting and Assigning - Pandas Fundamentals - YouTube
How to set column as row index in Pandas DataFrame - YouTube
11:22
Indexes in Pandas | Python Pandas Tutorials - YouTube
04:58
How To Change And Reset Index - Pandas For Machine Learning 11 ...
03:33
Pandas Set Index | pd.DataFrame.set_index() - YouTube
10:00
How I Use the Pandas Set Index Function - YouTube
Pandas
pandas.pydata.org › docs › reference › api › pandas.DataFrame.set_index.html
pandas.DataFrame.set_index — pandas 3.0.3 documentation
Set the DataFrame index using existing columns.
Python Guides
pythonguides.com › set-column-as-index-in-python-pandas
Set First Column As Index In Pandas Python
May 26, 2025 - In this article, I will share five different methods to set the first column as an index in Pandas.
Saturn Cloud
saturncloud.io › blog › how-to-set-the-first-column-and-row-as-index-in-pandas
How to Set the First Column and Row as Index in Pandas | Saturn Cloud Blog
June 19, 2023 - For example, if you have a DataFrame ... data for a specific product. To set the first column as index in pandas, we can use the set_index() method....
Statology
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Pandas: How to Use First Column as Index
August 19, 2022 - Suppose we have the following existing ... 18 5 1 B 22 7 2 C 19 7 3 D 14 9 4 E 14 12 5 F 11 9 6 G 20 9 7 H 28 4 · We can use the set_index() function to set the team column as the index column:...
Note.nkmk.me
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pandas: Set a column as the DataFrame index with set_index() | note.nkmk.me
January 26, 2024 - Setting append=True adds the specified column to the index as a new level. df_mi = df_name.set_index('state', append=True) print(df_mi) # age point # name state # Alice NY 24 64 # Bob CA 42 92 # Charlie CA 18 70 # Dave TX 68 70 # Ellen CA 24 ...
Python Examples
pythonexamples.org › pandas-set-column-as-index
Set Column as Index in Pandas DataFrame - Examples
Pandas – Set Column as Index: To set a column as index for a DataFrame, use DataFrame. set_index() function, with the column name passed as argument. You can also setup MultiIndex with multiple columns in the index. In this case, pass the array of column names required for index, to set_index() ...
GeeksforGeeks
geeksforgeeks.org › pandas › python-pandas-dataframe-set_index
Python | Pandas DataFrame.set_index() - GeeksforGeeks
July 11, 2025 - Now let see some practical examples better understand how to use the Pandas set_index() function. In this example, we set both First Name and Gender as the index columns using the set_index() method with the append and drop parameters.
Medium
medium.com › @dominic_55284 › set-the-first-column-and-row-as-index-in-pandas-b5e0630658b3
Set the First Column and Row as Index in Pandas | by Wardslaus | Medium
July 29, 2025 - In this example, we first create a DataFrame df using sample data. We then calculate the number of rows and columns in the DataFrame using the shape attribute. Next, we set the index using the range function to create a numeric range starting from 1.
Appdividend
appdividend.com › 2019 › 01 › 26 › pandas-set-index-example-python-set_index-tutorial
Pandas DataFrame set_index(): Setting an Index Column
September 23, 2025 - It restructures the DataFrame by promoting specified columns to the index. import pandas as pd df = pd.DataFrame( { 'ID': [101, 102, 103, 104, 105, 106, 107], 'Team_Name': ["Lakers", "Patriots", "Yankees", "Lakers", "Red Sox", "Warriors", "Patriots"], 'Wins': [12, 10, 14, 12, 13, 15, 18] } ) print(df) df = df.set_index('ID') print(df)
Seaborn Line Plots
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How to Make a Column Index in Pandas Dataframe - with Examples
November 18, 2023 - First, of all, you need to know the column names (or get column names of the Pandas dataframe) to set a column index. Here is how to make a specific column index in Pandas dataframe: your_df.set_index('Column_to_make_index')Code language: Python (python) In the code example above, ‘Column_to_make_index’ is the name of the column you want to make the index. As often, when working with Pandas, this will not make the column you chose permanently the dataframes index (to make it permanent you should use the inplace parameter).
sqlpey
sqlpey.com › python › top-4-ways-to-set-first-column-and-row-as-index-in-pandas
Top 4 Ways to Set the First Column and Row as Index in Pandas
November 24, 2024 - If you have a DataFrame and want to set the first column as the index, utilize the following approach: import pandas as pd # Assume 'data' is your DataFrame df = pd.read_csv('data.csv', index_col=0)
Arabpsychology
statistics.arabpsychology.com › psychological statistics › learning pandas: setting the first column as dataframe index
Learning Pandas: Setting The First Column As DataFrame Index - PSYCHOLOGICAL STATISTICS
October 28, 2025 - To execute this transformation, we simply apply the index_col parameter within the read_csv() function. By explicitly setting index_col=0, we instruct Pandas to elevate the first column (position 0) of the CSV file to the status of the DataFrame’s ...
Delft Stack
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How to Set Columns as Index in Pandas Dataframe | Delft Stack
March 11, 2025 - This tutorial demonstrates how to set columns as the index in a Pandas DataFrame using the set_index() function and the index_col parameter when reading a file. Learn efficient techniques to organize your data and streamline your analysis in ...
Top answer 1 of 4
351
Yes, with pandas.DataFrame.set_index you can make 'Locality' your row index.
data.set_index('Locality', inplace=True)
If inplace=True is not provided, set_index returns the modified dataframe as a result.
Example:
> import pandas as pd
> df = pd.DataFrame([['ABBOTSFORD', 427000, 448000],
['ABERFELDIE', 534000, 600000]],
columns=['Locality', 2005, 2006])
> df
Locality 2005 2006
0 ABBOTSFORD 427000 448000
1 ABERFELDIE 534000 600000
> df.set_index('Locality', inplace=True)
> df
2005 2006
Locality
ABBOTSFORD 427000 448000
ABERFELDIE 534000 600000
> df.loc['ABBOTSFORD']
2005 427000
2006 448000
Name: ABBOTSFORD, dtype: int64
> df.loc['ABBOTSFORD'][2005]
427000
> df.loc['ABBOTSFORD'].values
array([427000, 448000])
> df.loc['ABBOTSFORD'].tolist()
[427000, 448000]
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You can change the index as explained already using set_index.
You don't need to manually swap rows with columns, there is a transpose (data.T) method in pandas that does it for you:
> df = pd.DataFrame([['ABBOTSFORD', 427000, 448000],
['ABERFELDIE', 534000, 600000]],
columns=['Locality', 2005, 2006])
> newdf = df.set_index('Locality').T
> newdf
Locality ABBOTSFORD ABERFELDIE
2005 427000 534000
2006 448000 600000
then you can fetch the dataframe column values and transform them to a list:
> newdf['ABBOTSFORD'].values.tolist()
[427000, 448000]
PYnative
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Set index in pandas DataFrame
March 9, 2023 - When we want to replace the existing index with the multiple new series rather than the existing columns, we can create such a multi-index DataFrame by assigning new series using DataFrame.set_index() function. ... Let’s see how we can pass two Python series of numbers as a first and second-level index of the DataFrame. import pandas as pd student_dict = {'Name': ['Joe', 'Nat', 'Harry'], 'Age': [20, 21, 19], 'Marks': [85.10, 77.80, 91.54]} # create DataFrame from dict student_df = pd.DataFrame(student_dict) print(student_df) # set multi-index s = pd.Series([1, 2, 3]) student_df = student_df.set_index([s, s ** 2]) print(student_df)Code language: Python (python) Run
Javatpoint
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How to Make the First Column an Index in Python - Javatpoint
Learn basics of How to Make the First Column an Index in Python
Statology
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Pandas: How to Set Column as Index
July 20, 2021 - df.set_index(['team', 'conference']) points assists team conference A 1 5 11 B 2 7 8 C 3 7 10 D 4 9 6 E 5 12 6 F 6 9 5 · How to Rename Index in Pandas DataFrame How to Drop Rows by Index in Pandas How to Drop Columns by Index in Pandas