Split dataframe into smaller dataframes based on range of values

Question

I have the following dataframe:

     x     text     
1    500   aa
2    550   bb
3    700   cc
4    750   dd 

My goal is to split this df if the x-values are more than 100 points apart.

Is there a pandas function that allows you to make a split based on range of values?

Here is my desired output:

df_1:

    x     text  
0   500   aa
1   550   bb

df_2:

    x     text  
0   700   cc
1   750   dd

Answer 1

I believe you need convert groupby object to tuple and dictionary by helper Series:

d = dict(tuple(df.groupby(df['x'].diff().gt(100).cumsum())))
print (d)
{0:      x text
1  500   aa
2  550   bb, 1:      x text
3  700   cc
4  750   dd}

Detail:

First get difference by Series.diff, compare by Series.gt for greater and create consecutive groups by Series.cumsum:

print (df['x'].diff().gt(100).cumsum())
1    0
2    0
3    1
4    1
Name: x, dtype: int32