check if column exists in dataframe
if 'A' in df.columns:
check if column exists in dataframe
if 'A' in df.columns:
find nan values in a column pandas
df['your column name'].isnull().sum()
pandas check if value in column is in a list
df_new[df_new['l_ext'].isin([31, 22, 30, 25, 64])]
check if column exists in dataframe python
if 'A' in df:
check if value is in series pandas
In [21]: s.unique()
Out[21]: array(['a', 'b', 'c'], dtype=object)
In [22]: 'a' in s.unique()
Out[22]: True
pandas check if any of the values in one column exist in another
df["exists"] = df.drop("target", 1).isin(df["target"]).any(1)
print(df)
target A B C exists
0 cat bridge cat brush True
1 brush dog cat shoe False
2 bridge cat shoe bridge True
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