To count unique values in the Pandas DataFrame column use theSeries.unique()function along with the size attribute. Theseries.unique()function returns all unique values from a column by removing duplicate values and the size attribute returns a count of unique values in a column of DataFrame. S...
Pandas Get Unique Values in Column Unique is also referred to as distinct, you can get unique values in the column using pandasSeries.unique()function, since this function needs to call on the Series object, usedf['column_name']to get the unique values as a Series. Syntax: # Syntax of ...
import pandas as pd # Read in the dataset data = pd.read_csv('your_data_file.csv') # Find and display the unique values for each column for column in data.columns: unique_count = data[column].nunique() unique_values = data[column].unique() print(f"Column '{column}' has {unique_...
unique()}") # Extending the idea from 1 column to multiple columns print(f"Unique Values from 3 Columns:\ {pd.concat([df['FirstName'],df['LastName'],df['Age']]).unique()}") Python Copy输出:Unique FN: [‘Arun’ ‘Navneet’ ‘Shilpa’ ‘Prateek’ ‘Pyare’] Unique Values from...
import pandas as pd # Read in the dataset data = pd.read_csv('your_data_file.csv') # Find and display the unique values for each column for column in data.columns: unique_count = data[column].nunique() unique_values = data[column].unique() print(f"Column '{column}' has {unique...
import numpy as np import matplotlib.path as mpath # 数据准备 species = df['species'].unique() data = [] # 只选择数值列(排除 species 列) numeric_columns = df.columns[:-1] for s in species: data.append(df[df['species'] == s][numeric_columns].mean().values) # 将 data 列表转换...
Python program to get unique values from multiple columns in a pandas groupby# Importing pandas package import pandas as pd # Importing numpy package import numpy as np # Creating a dictionary d = { 'A':[10,10,10,20,20,20], 'B':['a','a','b','c','c','b'], 'C':['b...
pandas.unique(values) # or df['col'].unique() Note To work with pandas, we need to importpandaspackage first, below is the syntax: import pandas as pd Let us understand with the help of an example, Python program to find unique values from multiple columns ...
forname,groupingrouped_single:print(name)display(group.head()) e). level参数(用于多级索引)和axis参数 代码语言:javascript 代码运行次数:0 运行 AI代码解释 df.set_index(['Gender','School']).groupby(level=1,axis=0).get_group('S_1').head() ...
df.values #值 df.head(3) #前3行 df.tail(4) #后4行 df.dtypes #dataframe的数据类型 s.dtype #series的数据类型 t(object) #查看object的数据结构 df.T #转置 df.rename(columns={'MD5ID':'userid'},inplace=True) #重命名 df=df.rename(columns={'MD5ID':'userid'})# 重命名 ...