[英]Creating multiple data frames by providing a condition in python
I'm trying create multiple data frames from a single data-frame.我正在尝试从单个数据帧创建多个数据帧。 I managed to achieve the process by repeating the same line of code, but its looks tedious and is not time friendly.
我设法通过重复同一行代码来实现该过程,但它看起来很乏味,而且时间不友好。 I want to create a loop that iterates through the data-frame and create dataframes for me.
我想创建一个循环遍历数据帧并为我创建数据帧。 Also I have a list of copy of my Intial dataframe(from which I want to create multiple dataframes).
另外我有一个我的初始数据帧的副本列表(我想从中创建多个数据帧)。
df_list = [df_0run,df_1run,df_2run,df_3run,df_4run,df_5run,df_6run]
Please suggest an approach for my question.请为我的问题提出一种方法。
df_0season1=df_0run.loc[df_0run['Season_Id']==1]
df_0season2=df_0run.loc[df_0run['Season_Id']==2]
df_0season3=df_0run.loc[df_0run['Season_Id']==3]
df_0season4=df_0run.loc[df_0run['Season_Id']==4]
df_0season5=df_0run.loc[df_0run['Season_Id']==5]
df_0season6=df_0run.loc[df_0run['Season_Id']==6]
df_0season7=df_0run.loc[df_0run['Season_Id']==7]
df_0season8=df_0run.loc[df_0run['Season_Id']==8]
df_0season9=df_0run.loc[df_0run['Season_Id']==9]
In this fashion I want to create multiple dataframes, and return them as a list.以这种方式,我想创建多个数据框,并将它们作为列表返回。 or multiple lists.
或多个列表。
Required output所需的输出
Seasons list = [df_0season1,df_0season2,df_0season3,df_0season4,df_0season5,df_0season6,df_0season7,df_0season8,df_0season9,
df_1season1,df_1season2,df_1season3,df_1season4,df_1season5,df_1season6,df_1season7,df_1season8,df_1season9,
df_2season1,df_2season2,df_2season3,df_2season4,df_2season5,df_2season6,df_2season7,df_2season8,df_2season9,
df_3season1,df_3season2,df_3season3,df_3season4,df_3season5,df_3season6,df_3season7,df_3season8,df_3season9,
df_4season1,df_4season2,df_4season3,df_4season4,df_4season5,df_4season6,df_4season7,df_4season8,df_4season9,
df_5season1,df_5season2,df_5season3,df_5season4,df_5season5,df_5season6,df_5season7,df_5season8,df_5season9]
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