﻿ Pandas Practice Set-1: Remove multiple rows at once from diamonds dataframe - w3resource

# Pandas Practice Set-1: Remove multiple rows at once from diamonds dataframe

## Pandas Practice Set-1: Exercise-11 with Solution

Write a Pandas program to remove multiple rows at once (axis=0 refers to rows) from diamonds dataframe.

Sample Solution :

Python Code :

``````import pandas as pd
print("Original Dataframe:")
print("\nRemove multiple rows:")
diamonds.drop([2, 4, 5], axis=0, inplace=True)
``````

Sample Output:

```Original Dataframe:
carat      cut color clarity  depth  table  price     x     y     z
0   0.23    Ideal     E     SI2   61.5   55.0    326  3.95  3.98  2.43
1   0.21  Premium     E     SI1   59.8   61.0    326  3.89  3.84  2.31
2   0.23     Good     E     VS1   56.9   65.0    327  4.05  4.07  2.31
3   0.29  Premium     I     VS2   62.4   58.0    334  4.20  4.23  2.63
4   0.31     Good     J     SI2   63.3   58.0    335  4.34  4.35  2.75

Remove multiple rows:
carat        cut color clarity  depth  table  price     x     y     z
0   0.23      Ideal     E     SI2   61.5   55.0    326  3.95  3.98  2.43
1   0.21    Premium     E     SI1   59.8   61.0    326  3.89  3.84  2.31
3   0.29    Premium     I     VS2   62.4   58.0    334  4.20  4.23  2.63
6   0.24  Very Good     I    VVS1   62.3   57.0    336  3.95  3.98  2.47
7   0.26  Very Good     H     SI1   61.9   55.0    337  4.07  4.11  2.53
```

Python Code Editor:

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## Python: Tips of the Day

Merges two or more lists into a list of lists, combining elements from each of the input lists based on their positions

Example:

```def tips_merge(*args, fill_value=None):
max_length = max([len(lst) for lst in args])
result = []
for i in range(max_length):
result.append([
args[k][i] if i < len(args[k])
else fill_value for k in range(len(args))
])
return result
print(tips_merge(['x', 'y'], [1, 2], [True, False]))
print(tips_merge(['x'], [1, 2], [True, False]))
print(tips_merge(['x'], [1, 2], [True, False], fill_value = '_'))
```

Output:

```[['x', 1, True], ['y', 2, False]]
[['x', 1, True], [None, 2, False]]
[['x', 1, True], ['_', 2, False]]
```