Series([10,20,30],index=['a','b','c']) print df print ("Adding a new column using the existing columns in DataFrame:") df['four']=df['one']+df['three'] print df 列删除 pop/del # Using the previous DataFrame, we
print ("Delete the first column:") del df['one'] print (df) # using pop function print ("Delete the another column:") df.pop('two') print (df) 输出 The DataFrame: one two a 1.0 1 b 2.0 2 c NaN 3 Delete the first column: two a 1 b 2 c 3 Delete the another column: Emp...
Deleting column from DataFrame: In this tutorial, we will learn how can we delete / drop a column from a Pandas DataFrame in Python? By Pranit Sharma Last updated : April 10, 2023 Delete a column from a Pandas DataFrameTo delete a column from a Pandas DataFrame, we use del() method...
Given a Pandas DataFrame, we have to delete the first three rows. By Pranit Sharma Last updated : September 21, 2023 Rows in pandas are the different cell (column) values that are aligned horizontally and also provide uniformity. Each row can have the same or different value. Rows ar...
# Using the previous DataFrame, we will delete a column # using del function import pandas as pd d = {'one' : pd.Series([1, 2, 3], index=['a', 'b', 'c']), 'two' : pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd']), 'three' : pd.Series([10,20,30]...
Example 1: Remove Column from pandas DataFrame by NameThis section demonstrates how to delete one particular DataFrame column by its name.For this, we can use the drop() function and the axis argument as shown below:data_new1 = data.drop("x1", axis = 1) # Apply drop() function print...
# Using the previous DataFrame, we will delete a column# using del functionimport pandas as pdd = {'one' : pd.Series([1, 2, 3], index=['a', 'b', 'c']), 'two' : pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd']), 'three' : pd.Series([10,20,30],...
['count'] = df.groupby(column_name)[column_name].transform('count') # 根据条件筛选出需要删除的行 condition = df['count'] > 1 rows_to_delete = df[condition] # 删除选定的行 df = df.drop(rows_to_delete.index) # 删除添加的计数列 df = df.drop('count', axis=1) # 打印结果 print...
Assume you want to drop the first column or the last column of the DataFrame without using the column name. In such cases, use the DataFrame.columns attribute to delete a column of the DataFrame based on its index position. Simply passdf.columns[index]to the columns parameter of theDataFrame...
delete方法: 将位置i(从0开始编号)的元素删除,并产生新的索引。 print(index1.delete('b')) # IndexError: arrays used as indices must be of integer (or boolean) type print(index1.delete(1)) # Index(['a', 'c'], dtype='object') print(index1) # Index(['a', 'b', 'c'], dtype=...