The fastest and simplest way to get column header name is: DataFrame.columns.values.tolist() examples: Create a Pandas DataFrame with data: import pandas as pd import numpy as np df = pd.DataFrame() df['Name'] = ['John', 'Doe', 'Bill','Jim','Harry','Ben'] df['TotalMarks'...
4. Get the Shape of Specific Column of DataFrame A column in DataFrame is represented as a Series, so getting the shape of the DataFrame is same as getting the shape of the Series. For Series it will return the tuple of number of rows. Here, I will apply this attribute on one of ...
Alternatively using the Pandas tolist() function we can return the index of DataFrame as a list. For example, # Get the index as List using tolist() print(df.index.values.tolist()) # Output: # [0, 1, 2, 3] Get Column Index Using the get_loc()...
import pandas as pd Let us understand with the help of an example: Python program to get pandas column index from column name # Importing pandas packageimportpandasaspd# Defining a DataFramesdf=pd.DataFrame(data={'Parle':['Frooti','Krack-jack','Hide&seek'],'Nestle':['Maggie','Kitkat',...
import pandas as pd try: # 假设df是一个已经加载好的DataFrame column_index = df.columns.get_loc('不存在的列名') except KeyError: print("列名不存在,请检查列名是否正确。") 检查列名是否存在:在访问列之前,先检查列名是否存在。 python if '正确的列名' in df.columns: column_index = df.columns...
Create a Pandas Dataframe by appending one row at a time Get a list from Pandas DataFrame column headers Use a list of values to select rows from a Pandas dataframe Pretty-print an entire Pandas Series / DataFrame Combine two columns of text in pandas dataframe Do...
Python program to get values from column that appear more than X times # Importing pandas packageimportpandasaspd# Importing numpy packageimportnumpyasnp# Creating a DataFramedf=pd.DataFrame({'id':[1,2,3,4,5,6],'product':['tv','tv','tv','fridge','car','bed'],'type':['A','...
Pandas DataFrame Exercises, Practice and Solution: Write a Pandas program to get column index from column name of a given DataFrame.
grouped = df.groupby('column_name') result = grouped['target_column'].idxmax() # 获取每个分组中指定列的最大值所在的行索引 result = grouped['target_column'].idxmin() # 获取每个分组中指定列的最小值所在的行索引 其中,df是我们的数据框,column_name是用于分组的列名,target_column是我们想要...
import pandas as pd pb_list = pd.read_csv("PB2010plus.csv") 因此,要将它们可视化,您不需要print它们,但您只需要回忆变量pb_list。 # take a look to the dataframe pb_list # check the dataframe's type type(pb_list) # access to 1047 row index inside the Winning Numbers column ...