How do you delete rows with a certain object in pandas, python?

Question

I have a column in my data that contains these kind of values

2

2

yes

2

yes

In python pandas how would I identify the entire row

Answer 1

Here's a way to solve this. I've included code to build the DataFrame, find the string values and then drop them. df.drop returns a modified copy of the original df unless you specify inplace=True, so if you want, you can assign the original name of the df df = df.drop..., or use the inplace argument.

import pandas as pd
import numpy as np
# build the df
df = pd.DataFrame({'col_name' : [2, 2, 'yes', 2, 'yes']})
print(df)

  col_name
0        2
1        2
2      yes
3        2
4      yes

# ask what are the types in column
df.col_name.apply(type)

0    <class 'int'>
1    <class 'int'>
2    <class 'str'>
3    <class 'int'>
4    <class 'str'>
Name: col_name, dtype: object

# you can see that the strings are in row 2 and 4
# and drop them like this
df.drop([2, 4], axis='rows')

  col_name
0        2
1        2
3        2

Answer 2

IIUC:

df = df[~pd.to_numeric(df['col'], errors='coerce').isna()]

or

df = df[pd.to_numeric(df['col'], errors='coerce').notna()]