filter dataframe value in pandas
Question:
Hi I was trying to extract only the no’s from a columns in my df with this code:
(df['hello']=='No')
But it changes the values from the df and put it like a boolean values, I just want to value_count in that column the No’s, but I’m not sure what I’m doing wrong.
Answers:
Assume you are using pandas.DataFrame, if you want to get the subset of df rows with 'hello' column value 'No', use:
df[df['hello']=='No']
If you only want the column 'hello':
df['hello'][df['hello']=='No']
If you would like count
(df['hello']=='No').sum()
More like value_counts
df['hello'].value_counts().loc['No']
You can actually query a DataFrame with .value_counts(). This will return an integer of how many times the query is True.
print(df['hello'].value_counts()['No'])
print(df['hello'].value_counts())
Hi I was trying to extract only the no’s from a columns in my df with this code:
(df['hello']=='No')
But it changes the values from the df and put it like a boolean values, I just want to value_count in that column the No’s, but I’m not sure what I’m doing wrong.
Assume you are using pandas.DataFrame, if you want to get the subset of df rows with 'hello' column value 'No', use:
df[df['hello']=='No']
If you only want the column 'hello':
df['hello'][df['hello']=='No']
If you would like count
(df['hello']=='No').sum()
More like value_counts
df['hello'].value_counts().loc['No']
You can actually query a DataFrame with .value_counts(). This will return an integer of how many times the query is True.
print(df['hello'].value_counts()['No'])
print(df['hello'].value_counts())