# Quick examples of getting unique values in columns# Example 1: Find unique values of a columnprint(df['Courses'].unique())print(df.Courses.unique())# Example 2: Convert to listprint(df.Courses.unique().tolist())# Example 3: Unique values with drop_duplicatesdf.Courses.drop_duplicates(...
问Pandas:删除重复的值，但在另一列中保留多少值ENimport pandas as pd #生成数据 data1,data2,...
Duplicate values (s.str.repeat(3) equivalent to x * 3) pad() Add whitespace to left, right, or both sides of strings center() Equivalent to str.center ljust() Equivalent to str.ljust rjust() Equivalent to str.rjust zfill() Equivalent to str.zfill wrap() Split long strings into line...
'duplicate_rows': df.duplicated().sum(), 'data_types': df.dtypes.value_counts().to_dict(), 'unique_values': {col: df[col].nunique() for col in df.columns} } return pd.DataFrame(report.items(), columns=['Metric', 'Value']) 特征工程:# 创建新特征df['age_group'] = pd.cut(d...
Pandas Count Unique Values 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...
ffill(*[, axis, inplace, limit, downcast])通过将最后一个有效观察值传播到下一个有效观察值来填充...
concat([df['Name'],df['Age'],df['Gender']]).unique() # Display result print("Unique values:\n",result) OutputThe output of the above program is:Python Pandas Programs »Find the column name which has the maximum value for each row How to modify a subset of rows in a pandas ...
# Replace values in datasetdf = df.replace({"CA": "California", "TX": "Texas"})# Replace values in a spesific columndf["Customer Country"] = df["Customer Country"].replace({"United States": "USA", "Puerto Rico": "PR"})mapping()可以创建一个字典，将不一致的值映射到标准化的对应...
df.loc[df['Address'].isin(['street_7','street_4'])].head()# 取出‘Address’一列是‘street_7’、‘street_4’的所有行# 传入布尔列表# i[-1]指的是街道编号# 功能同上df.loc[[Trueifi[-1] =='4'ori[-1] =='7'elseFalseforiindf['Address'].values ...
DataFrame.xs(key[, axis, level, drop_level])Returns a cross-section (row(s) or column(s)) from the Series/DataFrame. DataFrame.isin(values)是否包含数据框中的元素 DataFrame.where(cond[, other, inplace, …])条件筛选 DataFrame.mask(cond[, other, inplace, axis, …])Return an object of...