reset_index(inplace=True) writer.rename(columns={'index':'作家','作者':'作品数量'},inplace=True) writer 输出结果: 结论: 8800 rows × 2 columns # 提取出优秀作品数量大于等于10的作家 lst1=writer[writer['作品数量']>=10]['作家'].tolist() # 求得每位作家的平均得分 writer_rank=df1[df1...
import pandas as pdfrom bokeh.models import ColumnDataSource, Whiskerfrom bokeh.plotting import figure, showfrom bokeh.sampledata.autompg2 import autompg2from bokeh.transform import factor_cmapdf = autompg2[["class", "hwy"]].rename(columns={"class": "kind"})kinds = df.kind.unique()# com...
DataFrame.rename(mapper=None, index=None, columns=None, axis=None, copy=True, inplace=False, level=None) 常用参数说明: index:行索引 ,index = {旧索引名:新索引名} columns:列索引 ,columns = {旧索引名:新索引名} ''' stock_data.rename(index = {'2018-02-27':'2018年2月27号'},columns ...
排序 # Python # Rdf.sort_values(by='column') arrange(df, column)聚合 # Pythondf.groupby('col1')['agg_col').agg(['mean()']).reset_index()# Rdf %>% group_by(col1) %>% summarize(mean = mean(agg_col, na.rm=TRUE)) %>% ungroup() #if resetting index 使用筛选器...
# Create a pivot tablepivot_table = df.pivot_table(values='value_column', index='row_column', columns='column_column', aggfunc='mean') 数据透视表有助于重塑数据,并以表格形式进行汇总。它们对创建汇总报告尤其有用。合并数据框 # Merge two Data...
rename() 修改列名,返回新数据集 left1 = left.rename(columns = {"key1":"key1_l" , "key2":"key2_l"}) 1. 注意: # left_index = True 索引作为key 去join left_index : boolean, default False Use the index from the left DataFrame as the join key(s). If it is a ...
import pandas as pd def test(): # 读取Excel文件 df = pd.read_excel('测试数据.xlsx') # 插入列 df.insert(loc=2, column='爱好', value=None) # 保存修改后的DataFrame到新的Excel文件 df.to_excel('结果.xlsx', index=False) test() 3、插入多列 假设我需要在D列(班级)后面插入5列,表头名...
df['Group']=np.where(df['Anomaly_Score']<threshold,'Normal','Outlier')# Nowlet's show the summary statistics:cnt=df.groupby('Group')['Anomaly_Score'].count().reset_index().rename(columns={'Anomaly_Score':'Count'})cnt['Count %']=(cnt['Count']/cnt['Count'].sum())*100# The ...
df['Group']=np.where(df['Anomaly_Score']<threshold,'Normal','Outlier')# Nowlet's show the summary statistics:cnt=df.groupby('Group')['Anomaly_Score'].count().reset_index().rename(columns={'Anomaly_Score':'Count'})cnt['Count %']=(cnt['Count']/cnt['Count'].sum())*100# The ...
label.grid(row=0, column=0) scrollbar = tk.Scrollbar(root) scrollbar.pack(side=tk.RIGHT, fill=tk.Y) listbox = tk.Listbox(root, width=150, height=150, yscrollcommand=scrollbar.set) listbox.pack(pady=10) scrollbar.config(command=listbo...