How to take column-slices of DataFrame in Pandas?
Take column-slices of DataFrame in Pandas with the help of Resample dataframe. The key point is that even if you resize the DataFrame or want to reorder columns in DataFrame, it will not be able to retain the block-level structure and will lose some of the original columns.
make new dataframe from slice
By 
Lonely Lark
on May 28, 2021
Lonely Lark
on May 28, 2021
# You need copy with boolean indexing, new DataFrame constructor is not necessary:
d2 = d1[d1.a > 1].copy()
Source: stackoverflow.com
2
slicing in pandas
By Annoying Albatross
on Jul 16, 2020
Annoying Albatross
on Jul 16, 2020
# iloc[row slicing, column slicing]
surveys_df.iloc[0:3, 1:4]
Source: datacarpentry.org
2
slicing in pandas
By Annoying Albatross
on Jul 16, 2020
Annoying Albatross
on Jul 16, 2020
# Select rows 0, 1, 2 (row 3 is not selected)
surveys_df[0:3]
Source: datacarpentry.org
1
python slice Dataframe
By Tough Tarantula
on Apr 24, 2021
Tough Tarantula
on Apr 24, 2021
2 9.00
3 9.00
4 8.97
Name: Gage Height [ft], dtype: float64Source: colab.research.google.com
-3
The following code breaks down the process of taking column-slices in pandas and how to achieve that.
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