pandas filter rows by condition code example

Example 1: new dataframe based on certain row conditions

filterinfDataframe = dfObj[(dfObj['Sale'] > 30) & (dfObj['Sale'] < 33) ]

Example 2: panda - subset based on column value

import pandas as pd
import numpy as np
df = pd.DataFrame({'A': 'foo bar foo bar foo bar foo foo'.split(),
                   'B': 'one one two three two two one three'.split(),
                   'C': np.arange(8), 'D': np.arange(8) * 2})
print(df)
sub_df = df.loc[df['A'] == 'foo'] # Subset based on specific A value

Example 3: pandas filter rows by value in list

df.loc[df['col name'].isin(ls_conditions)]

Example 4: slice dataframe pandas based on condition

# To slice pandas dataframe by condition

frioMurteira = data.loc[(data["POM"] == "Murteira") & (data["TMP"] > 7.2), ["DTM","TMP"]]

Example 5: pandas column filter

filter = df['column']!= 0
df = df[filter]

Example 6: filter df by column value

# does year equals to 2002?
# is_2002 is a boolean variable with True or False in it
>is_2002 =  gapminder['year']==2002
>print(is_2002.head())
0    False
1    False
2    False
3    False
4    False