Python program to select row by max value in group# Importing pandas package import pandas as pd # Importing numpy package import numpy as np # Creating a dictionary d = { 'A':[1,2,3,4,5,6], 'B':[3000,3000,6000,6000,1000,1000], 'C':[200,np.nan,100,np.nan,500,np.nan] ...
How to Get the minimum value of column in python pandas (all columns). How to get the minimum value of a specific column example of min() function..
for key, value incolumn_threshold_dict.items():counts = df[key].value_counts()others = set(counts[counts< value].index)df[key] =df[key].replace(list(others), 'Others')returns a dataframe of scaledvalues"""df_to_scale = df[column_list]x = df_to_scale.values min_max_scaler =prepr...
import polars as pl import time # 读取 CSV 文件 start = time.time() df_pl_gpu = pl.read_csv('test_data.csv') load_time_pl_gpu = time.time() - start # 过滤操作 start = time.time() filtered_pl_gpu = df_pl_gpu.filter(pl.col('value1') > 50) filter_time_pl_gpu = time.t...
(cell_value.encode('utf-8')) #utf-8解码一个中文三字节,有的文章中说用gbk解码占两个字符,经过实验字符串中有空格时会报错,所以采用了utf-8 else: d = len(str(cell_value)) if d > max_d: max_d = d print(f'第{j}列的最大列宽是{max_d}') k = get_column_letter(j) # 将数字转化...
max_column # 把上面写入内容打印在控制台 for j in ws.rows: # we.rows 获取每一行数据 for n in j: print(n.value, end="\t") # n.value 获取单元格的值 print() # 保存,save(必须要写文件名(绝对地址)默认 py 同级目录下,只支持 xlsx 格式) wb.save(addr)...
myrange=mysheet.iter_cols(min_row=5,min_col=2,max_row=8,max_col=4) mynewrow=['合计'] #循环收入表(myrange)的B,C,D列(mycol) for mycol in myrange: #按列对单元格数据求和 mycolsum=sum([mycell.value for mycell in mycol]) ...
[TIME, TITLE, A_Z])# 获取最大行row_max = ws.max_row# 获取最大列con_max = ws.max_column# 把上面写入内容打印在控制台for j in ws.rows:# we.rows 获取每一行数据for n in j: print(n.value, end="\t")# n.value 获取单元格的值print()# 保存,save(必须要写文件名(绝对地址)默认 ...
df.fillna(value=,inplace=) #用value值填充na,返回填充后的结果数据df.dropna(axis=0,how='any',inplace=False) #axis=0即行,how有‘any’和‘all’两个选项,all表示所有值都为NA才删除df.drop(labels=0,columns=['col1'],axis=0,) #删除指定列,也可以删除行,axis作用不大 ...
max_row= ws.max_row#获取最大行号max_col = ws.max_column#获取最大列号#在列后加入总分ws.cell(1,column = max_col+1,value="总分")#在最大列后面写入“总分”forrowinws.iter_rows(min_row=2,min_col=2,max_col=max_col):#选取分数的范围list =[] ...