我在python中编写了以下函数:
def proc_summ(df,var_names_in,var_names_group):
df['Freq']=1
df_summed=pd.pivot_table(df,index=(var_names_group),
values=(var_names_in),
aggfunc=[np.sum],fill_value=0,margins=True,margins_name='Total').reset_index()
df_summed.columns = df_summed.columns.map(''.join)
df_summed.columns = [x.strip().replace('sum', '') for x in df_summed.columns]
string_repr = df_summed.to_string(index=False,justify='center').splitlines()
string_repr.insert(1, "-" * len(string_repr[0]))
string_repr.insert(len(df_summed.index)+1, "-" * len(string_repr[0]))
out = '\n'.join(string_repr)
print(out)
下面是我用来调用该函数的代码:
proc_summ (
df,
var_names_in=["Freq","sal"] ,
var_names_group=["name","age"])
and below is the output:
name age Freq sal
--------------------
Arik 32 1 100
David 44 2 260
John 33 1 200
John 34 1 300
Peter 33 1 100
--------------------
Total 6 960
请让我知道如何将数据打印到屏幕中央:
name age Freq sal
--------------------
Arik 32 1 100
David 44 2 260
John 33 1 200
John 34 1 300
Peter 33 1 100
--------------------
Total 6 960
答案 0 :(得分:0)
如果您使用的是 Python3 ,则可以尝试类似的操作
import shutil
columns = shutil.get_terminal_size().columns
print("hello world".center(columns))
在使用DataFrame时,您可以尝试类似的操作
import shutil
import pandas as pd
data = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data)
# convert DataFrame to string
df_string = df.to_string()
df_split = df_string.split('\n')
columns = shutil.get_terminal_size().columns
for i in range(len(df)):
print(df_split[i].center(columns))