WebDec 12, 2024 · Example 4 : Using iloc() or loc() function : Both iloc() and loc() function are used to extract the sub DataFrame from a DataFrame. The sub DataFrame can be anything spanning from a single cell to the whole table. iloc() is generally used when we know the index range for the row and column whereas loc() is used on a label search.
pandas 使用loc和iloc读取行数据或列数据
WebOct 24, 2024 · lowest_row = df.iloc[df[‘column_1’].argmin()] Select by row number. my_series = df.iloc[0] my_df = df.iloc[[0]] Select by column number. df.iloc[:,0] Get column names for maximum value in each row. classes=df.idxmax(axis=1) Select 70% of Dataframe rows. df_n = df.sample(frac=0.7) Randomly select n rows from a Dataframe. df_n = … WebFeb 2, 2024 · df.loc [df ['height_cm']>180, columns] # iloc. columns = [0,1,3] df.iloc [list (df ['height_cm']>180), columns] Here’s the output we get for both loc and iloc: Image by author. The same rule goes in case you … ho weathercock\u0027s
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Web1. Pandas iloc data selection. The iloc indexer for Pandas Dataframe is used for integer … WebOct 26, 2024 · When it comes to selecting rows and columns of a pandas DataFrame, loc and iloc are two commonly used functions. Here is the subtle difference between the two functions: loc selects rows and columns with specific labels; iloc selects rows and columns at specific integer positions; The following examples show how to use each function in … Web在pandas中如何准确定位到某一行和列中的值. 在pandas中,可以使用.at[]或.iloc[]函数来 … how easy youtube