修改下列程序,求出第一列和第二列数据的最大值和最小值。with open('file.txt', 'r') as f: lines = f.readlines() unique_data = set() data_list = []
时间: 2024-03-20 09:43:30 浏览: 16
以下是修改后的程序,可以求出第一列和第二列数据的最大值和最小值:
```
with open('file.txt', 'r') as f:
lines = f.readlines()
data_list = []
col1_max = col1_min = col2_max = col2_min = None
for line in lines:
data = line.strip().split()
col1 = int(data[0])
col2 = int(data[1])
data_list.append(data)
if col1_max is None or col1 > col1_max:
col1_max = col1
if col1_min is None or col1 < col1_min:
col1_min = col1
if col2_max is None or col2 > col2_max:
col2_max = col2
if col2_min is None or col2 < col2_min:
col2_min = col2
```
请注意,这里假设文件中每行只有两列数据,并且这两列数据都是整数。如果文件中的数据类型不同或者列数不同,需要根据具体情况进行修改。
相关问题
修改下列程序,求出第一列和第二列数据的最大值和最小值,txt文件中包含三列数据,且为浮点数。with open('file.txt', 'r') as f: lines = f.readlines() unique_data = set() data_list = []
以下是修改后的程序,可以求出第一列和第二列数据的最大值和最小值:
```
with open('file.txt', 'r') as f:
lines = f.readlines()
data_list = []
col1_max = col1_min = col2_max = col2_min = None
for line in lines:
data = line.strip().split()
col1 = float(data[0])
col2 = float(data[1])
data_list.append(data)
if col1_max is None or col1 > col1_max:
col1_max = col1
if col1_min is None or col1 < col1_min:
col1_min = col1
if col2_max is None or col2 > col2_max:
col2_max = col2
if col2_min is None or col2 < col2_min:
col2_min = col2
```
请注意,这里假设文件中每行有三列数据并且这三列数据都是浮点数。如果文件中的数据类型不同或者列数不同,需要根据具体情况进行修改。
python解决打开文件找出每行数据最大值和最小值,最大值减去最小值,并且讲结果存入out.txt文件中
可以使用以下代码实现:
```python
with open('file.txt', 'r') as f:
lines = f.readlines()
results = []
for line in lines:
nums = list(map(float, line.split()))
max_val = max(nums)
min_val = min(nums)
diff = max_val - min_val
results.append(diff)
with open('out.txt', 'w') as f:
for result in results:
f.write(str(result) + '\n')
```
这段代码首先打开文件 `file.txt`,读取每一行数据,然后对每一行数据进行处理,找出最大值和最小值,计算差值,最后将结果存入 `out.txt` 文件中。