Search for a value anywhere in a pandas DataFrame

Question

This seems like a simple question, but I couldn\'t find it asked before (this and this are close but the answers aren\'t great).

The question is: if I want to searc

Answer 1

You should using isin , this is return the column , is want row check cold' answer :-)

df.isin(['bal1']).any()
A        False
B         True
C        False
CLASS    False
dtype: bool

Or

df[df.isin(['bal1'])].stack() # level 0 index is row index , level 1 index is columns which contain that value 
0  B    bal1
1  B    bal1
dtype: object

Answer 2

You can try the code below:

import pandas as pd
x = pd.read_csv(r"filePath")
x.columns = x.columns.str.lower().str.replace(' ', '_')
y = x.columns.values
z = y.tolist()
print("Note: It take Case Sensitive Values.")
keyWord = input("Type a Keyword to Search: ")
try:
    for k in range(len(z)-1):
        l = x[x[z[k]].str.match(keyWord)]
        print(l.head(10))
        k = k+1
except:
    print("")

Answer 3

You can perform equality comparison on the entire DataFrame:

df[df.eq(var1).any(1)]

Another option is using numpy comparison:

df[(df.values.ravel() == var1).reshape(df.shape).any(1)]