我是Python Panda的初学者我在这个简历文件中收集交易时遇到问题，请帮忙如何编写命令来添加Pandas中所有类似货币对的大小例如，所有侧面的总尺寸=购买符号=btc irt
侧面符号尺寸
购买-btc irt-0.011
购买-btc irt-0.0045
sell-btc irt-0.0001
sell-btc irt-0.0001
对于csv文件中的列值求和，可以使用panda加载值并对值进行分组。
试试这个代码：
import pandas as pd
s = '''
side- symbol- size
buy- btc-irt- 0.011
buy- btc-irt- 0.0045
sell- btc-irt- 0.0001
sell- btc-irt- 0.0001
buy- eth-irt- 0.022
buy- eth-irt- 0.0046
sell- eth-irt- 0.0011
sell- eth-irt- 0.0021
'''.strip()
with open("data.csv",'w') as f: f.write(s) # write test file
#### main script ####
df = pd.read_csv('data.csv', sep=' ') # load data, columns separated by space
print('---- dataframe ----n',df)
gb = df.groupby(["side-","symbol-"]).sum() # group by two columns, sum of third column
print('nn---- grouped ----n',gb)
输出
---- dataframe ----
side- symbol- size
0 buy- btc-irt- 0.0110
1 buy- btc-irt- 0.0045
2 sell- btc-irt- 0.0001
3 sell- btc-irt- 0.0001
4 buy- eth-irt- 0.0220
5 buy- eth-irt- 0.0046
6 sell- eth-irt- 0.0011
7 sell- eth-irt- 0.0021
---- grouped ----
size
side- symbol-
buy- btc-irt- 0.0155
eth-irt- 0.0266
sell- btc-irt- 0.0002
eth-irt- 0.0032