pandas drop columns that are all nan code example
Example 1: drop if nan in column pandas
df = df[df['EPS'].notna()]
Example 2: dropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])
Example 3: remove row if all are the same value pandas
print (df['S'] != df['T'])
0 False
1 True
2 True
3 True
4 False
5 True
6 True
7 True
8 False
dtype: bool
df = df[df['S'] != df['T']]
print (df)
S T W U
1 A B 0 Undirected
2 A C 1 Undirected
3 B A 0 Undirected
5 B C 1 Undirected
6 C A 1 Undirected
7 C B 1 Undirected
Example 4: select only some rows pandas
df.loc[df['column_name'].isin(some_values)]