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']
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
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
>is_2002 = gapminder['year']==2002
>print(is_2002.head())
0 False
1 False
2 False
3 False
4 False