Pandas DataFrame – Get Specific Row using Index. To get the specific row of Pandas DataFrame using index, use DataFrame.iloc property and give the index of row in square brackets. DataFrame.iloc[row_index] DataFrame.iloc returns the row as Series object. Example 1: Get Specific Row in Pandas. In this example, we will
09.12.2020 · Often you may want to select the rows of a pandas DataFrame based on their index value. If you’d like to select rows based on integer indexing, you can use the .iloc function.. If you’d like to select rows based on label indexing, you can use the .loc function.. This tutorial provides an example of how to use each of these functions in practice.
Jul 16, 2021 · Example 1: Get Index of Rows Whose Column Matches Value. The following code shows how to get the index of the rows where one column is equal to a certain value: #get index of rows where 'points' column is equal to 7 df.index[df ['points']==7].tolist() [1, 2] This tells us that the rows with index values 1 and 2 have the value ‘7’ in the ...
After we filter the original df by the Boolean column we can pick the index . df=df.query ('BoolCol') df.index Out [125]: Int64Index ( [10, 40, 50], dtype='int64') Also pandas have nonzero, we just select the position of True row and using it slice the DataFrame or index.
Dec 09, 2020 · Example 1: Select Rows Based on Integer Indexing. The following code shows how to create a pandas DataFrame and use .iloc to select the row with an index integer value of 4: import pandas as pd import numpy as np #make this example reproducible np.random.seed(0) #create DataFrame df = pd.DataFrame(np.random.rand(6,2), index=range (0,18,3 ...
Jul 10, 2020 · Indexing in Pandas means selecting rows and columns of data from a Dataframe. It can be selecting all the rows and the particular number of columns, a particular number of rows, and all the columns or a particular number of rows and columns each. Indexing is also known as Subset selection.
If index_list contains your desired indices, you can get the dataframe with the desired rows by doing. index_list = [1,2,3,4,5,6] df.loc[df.index[index_list]] This is based on the latest documentation as of March 2021.
Related: Filter pandas DataFrame Rows Based on Condition In this article, I will explain how to select rows from pandas DataFrame by integer index and label, by the range, and selecting first and last n rows with several examples. loc[] & iloc[] operators are also used to select columns from pandas DataFrame and refer related article how to get cell value from pandas DataFrame.
16.07.2021 · Pandas: Get Index of Rows Whose Column Matches Value. You can use the following syntax to get the index of rows in a pandas DataFrame whose column matches specific values: df.index[df ['column_name']==value].tolist() The following examples show how to use this syntax in practice with the following pandas DataFrame: import pandas as pd #create ...
09.07.2020 · Indexing in Pandas means selecting rows and columns of data from a Dataframe. It can be selecting all the rows and the particular number of columns, a particular number of rows, and all the columns or a particular number of rows and columns each. Indexing is also known as Subset selection.