Python | Pandas DataFrame.reset_index ()

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Pandas reset_index() — it is a method to reset the index of a data frame. The .reset_index () method sets a list of integers ranging from 0 to the length of the data as the index.

Syntax:
DataFrame..reset_index (level = None, drop = False, inplace = False, col_level = 0, col_fill = ‚")

Parameters:
level: int, string or a list to select and remove passed column from index.
drop: Boolean value, Adds the replaced index column to the data if False.
inplace: Boolean value, make changes in the original data frame itself if True.
col_level: Select in which column level to insert the labels.
col_fill: Object, to determine how the other levels are named.

Return type: DataFrame

To load the CSV file you are using, press here.

Example # 1: Resetting the index
In this example, to reset the index, the Name column was first set as the column index, and then a new index was created using the reset index.

# import pandas package

import pandas as pd


# create data frame from CSV file

data = pd.read_csv ( "employees.csv" )


# set name as index column

data.set_index ([ "First Name" ], inplace = True ,

append = True , drop = True )


# reset index

data. .reset_index (inplace = True )


# display
data.head ( )

Output:
As shown in the output images, a new index mark was created called level_0.

Before reset —

After reset —

Example # 2: Working with a multilevel index
In this example, 2 columns (Name and Gender) are added to the index column and then one level is removed using the .reset_index () method.

# import pandas package

import pandas as pd


# create data frame from CSV file

data = pd.read_csv ( "employees.csv" )


# set name as index column

data.set_index ([ "First Name" , "Gender" ], inplace = True ,

append = True , drop = True )


# reset index

data..reset_index (level = 2 , inplace = True , col_level = 1 )


# display
d ata.head ()

Output:
As shown in the output image, the floor column in the index column was replaced because its level was 2.

Before reset —

After reset —

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How to insert newlines on argparse help text?

5 answers

I"m using argparse in Python 2.7 for parsing input options. One of my options is a multiple choice. I want to make a list in its help text, e.g.

from argparse import ArgumentParser

parser = ArgumentParser(description="test")

parser.add_argument("-g", choices=["a", "b", "g", "d", "e"], default="a",
    help="Some option, where
"
         " a = alpha
"
         " b = beta
"
         " g = gamma
"
         " d = delta
"
         " e = epsilon")

parser.parse_args()

However, argparse strips all newlines and consecutive spaces. The result looks like

~/Downloads:52$ python2.7 x.py -h
usage: x.py [-h] [-g {a,b,g,d,e}]

test

optional arguments:
  -h, --help      show this help message and exit
  -g {a,b,g,d,e}  Some option, where a = alpha b = beta g = gamma d = delta e
                  = epsilon

How to insert newlines in the help text?

406

Answer #1

Try using RawTextHelpFormatter:

from argparse import RawTextHelpFormatter
parser = ArgumentParser(description="test", formatter_class=RawTextHelpFormatter)

Is a Python list guaranteed to have its elements stay in the order they are inserted in?

5 answers

If I have the following Python code

>>> x = []
>>> x = x + [1]
>>> x = x + [2]
>>> x = x + [3]
>>> x
[1, 2, 3]

Will x be guaranteed to always be [1,2,3], or are other orderings of the interim elements possible?

366

Answer #1

Yes, the order of elements in a python list is persistent.

Inserting image into IPython notebook markdown

5 answers

I am starting to depend heavily on the IPython notebook app to develop and document algorithms. It is awesome; but there is something that seems like it should be possible, but I can"t figure out how to do it:

I would like to insert a local image into my (local) IPython notebook markdown to aid in documenting an algorithm. I know enough to add something like <img src="image.png"> to the markdown, but that is about as far as my knowledge goes. I assume I could put the image in the directory represented by 127.0.0.1:8888 (or some subdirectory) to be able to access it, but I can"t figure out where that directory is. (I"m working on a mac.) So, is it possible to do what I"m trying to do without too much trouble?

277

Answer #1

Most of the answers given so far go in the wrong direction, suggesting to load additional libraries and use the code instead of markup. In Ipython/Jupyter Notebooks it is very simple. Make sure the cell is indeed in markup and to display a image use:

![alt text](imagename.png "Title")

Further advantage compared to the other methods proposed is that you can display all common file formats including jpg, png, and gif (animations).

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